Integrating technology into clinical practice in neurological rehabilitation

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Integrating technology into clinical practice in neurological rehabilitation*

KATIE BYL, PhD, NANCY N. BYL, PT, MPH, PhD, FAPTA, MARTEN BYL, PhD, BRADLEY W. STOCKERT, PT, PhD, SEBASTIAN SOVERO, MS, CLAYTON D. GABLE, PT, PhD and DARCY A. UMPHRED, PT, PhD, FAPTA

Objectives

After reading this chapter the student or therapist will be able to:

1. Summarize the need, demand and principles for integrating advanced robotic technology in neurological rehabilitation.

2. Define common terminology used in the field of rehabilitation robotics and technology.

3. Classify the different types of advanced technology used in neurorehabilitation.

a. Rehabilitation robots and assistive technology including:

i. Service robots for movement

ii. Service robots for physical assistance and indoor and outdoor navigation

iii. Nonwearable robotic assistive device for mobility, unweighting, and object manipulation

iv. Wearable robotic assistive device for upper-limb object manipulation

v. Wearable robotic assistive device for lower-limb mobility and gait training

vi. Communication robotics to enable interpersonal interaction

vii. Interactive entertainment robotics for companionship and emotional support

b. Advanced clinical technology including:

i. Virtual reality training systems for improved neural recovery of upper- and lower-limb function

ii. Computerized learning-based gaming systems for home training of individuals with physical disabilities and memory impairments

iii. Computerized patient simulators for teaching clinical diagnoses and intervention strategies to medical professionals

iv. Computer technology for teaching home exercise programs to patients

4. Use the guidelines for integrating robotics and assistive technology into a patient’s rehabilitation program.

5. Summarize the challenges and basic engineering principles involved in creating rehabilitation robotics and interfacing with advanced technology to help individuals to design:

a. Robots that operate independently

b. Controllers, actuators, and sensors required for service and assistive rehabilitation robots

c. Human interfaces (physical, sensory physical, cognitive, and brain machine)

d. User-friendly interfaces and controllers to maximize kinematics (e.g., force, velocity, timing)

e. Rehabilitation robotics based on the materials and control technology currently available

f. Safe robotics for rehabilitation

6. Discuss the benefits of performing a cost-effectiveness analysis when considering the application of robotic technology in rehabilitation.

7. Describe the challenges of commercializing robotic devices.

8. Discuss the future of advanced technology and rehabilitation.

This chapter presents and discusses the integration of computer-assisted technology as one approach to maximize independence and quality of life in older adults and people with moderate to severe physical impairments. Rehabilitation robotics and computer-assisted technology use brain interfaces, sensorimotor interfaces, virtual reality (VR) environments, and learning-based gaming programs to remediate sensory, motor, and cognitive impairments and improve memory skills and physical abilities required for independent mobility and self-care at home, in the community, at work, and during the performance of recreational activities.

Introduction to the application of robotics and technology in rehabilitation

General overview

The purpose of this chapter is to excite rehabilitation professionals about the integration of technology in rehabilitation and the potential to expand possibilities for healing, adaptation, compensation, and recovery for individuals with neurological impairments. Robotics and technology are considered supplemental to “one-on-one rehabilitative therapy,” not a replacement for individual therapy. This chapter will provide an overview of technology and rehabilitation robotics appropriate for consideration within neurological rehabilitation. The chapter will not provide a detailed analysis of all of the technology that is available or an exhaustive bibliography referencing all of the studies that have been carried out in the area of rehabilitation robotics.

The objective of rehabilitation technology is to empower clinicians and individuals to take responsibility and control of the environment, facilitate physical and cognitive recovery, and comply with learning-based practice to drive neural adaptation and neural reorganization. The principles underlying technology and rehabilitation are summarized in Box 38-1. Since the early 1990s, medical science has been able to minimize damage to the nervous system postinjury. It is known that the central nervous system (CNS) possesses the potential for spontaneous healing and recovery. Learning-based sensory and motor training can be used to drive recovery of function. Rehabilitation robotics are a logical addition to supervised, one-on-one therapeutic interventions.19

BOX 38-1 image   PRINCIPLES SUPPORTING ADVANCED TECHNOLOGY AND REHABILITATION ROBOTICS IN NEUROREHABILITATION

Principle I

Goals for advanced technology and rehabilitation robotics include the following:

Indirectly augmenting functional independence of individuals with impairments by:

Directly improving human motor skill capabilities of individuals with impairments to enable them to:

Robotic technology can provide service, unweighting, passive assistance, active assistance, variable and on-demand assistance, or a combination of service and assistance.10 Computerized and robotic technology provides the foundation for patients to practice and attend to purposeful, goal-oriented, progressive tasks spaced over time. This technology can also minimize the risk of injury during retraining. Robotic interfaces, actuators, and controllers can convert sensory, physical, and cognitive signals to control robots, permit perception of spatial relationships, mobilize individuals in space, assist in object manipulation, provide emotional support, and allow individuals to call for help and communicate with others. In addition, through creative virtual training environments and gaming technology, patients can improve memory, motor skills, and movement quality. In addition, patient simulators can help medical professionals learn diagnostic processes, treatment interventions, and manual techniques. Computer-assisted technology can also improve our ability to teach home exercise programs to patients. Over the next 10 years, robotic technology will expand the opportunities for clinicians to assist patients to achieve maximum independence and quality of life with less dependence on others.

History supporting the use of technology in neurological rehabilitation

The idea of interfacing technology with rehabilitation was introduced into practice by George J. Kelin in the 1940s. Kelin was a productive inventor from Canada who invented the power wheelchair for patients with quadriplegia, the microsurgical staple gun, and a wide range of industrial gearing systems. He also contributed to internationally important innovations in aviation and space technology. During the early 1970s, a new field emerged known as mechatronics, which combines mechanical, electrical, and control engineering design principles to produce a diverse range of useful practical devices.11,12 The science of biomechatronics then developed as a unique engineering discipline responsible for integrating neuromusculoskeletal appliances with biological systems to control and facilitate human-machine interactions as well as developing interfaces, sensors, actuators, and energy supplies to create functional devices for human use.13

The first conference on rehabilitation robotics was held in 1990. There are now multiple conferences each year on rehabilitation robotics. In 1999 the Robotics and Automation Society created the Rehabilitation Robotics Technical Committee to improve definitions and understanding about rehabilitation and assistive robotics.14 The scope of this technical committee has been recently specified as rehabilitation and assistive robotics. This modification is the direct outcome of the scientific progress and maturity reached in this broad research area. The goal of rehabilitation robotics is to investigate the application of robotics to therapeutic procedures for achieving the best possible motor, cognitive, and functional recovery for persons with impairments associated with aging, disease, or trauma (e.g., stroke, neuromotor disorders, brain trauma, orthopedic trauma, cognitive disease).

In particular, service robotics include aids for supporting independent living of persons who have chronic or degenerative limitations in motor and/or cognitive abilities, such as the severely disabled and the elderly. Such robotic devices are typically key components of more general assistive and supportive systems. These service robots usually integrate telematic, mechatronic, and other technological devices such as smart house designs and advanced human-machine interfaces. On the other hand, innovative, passive assistive, and active and dynamic assistive robotic devices are being integrated into rehabilitation programs to maximize recovery and functional independence skills.

Some clinicians have been skeptical of robotics in rehabilitation. Some health care providers worry that robots will replace therapists; others worry that robots are unsafe.8 However, researchers have persisted in developing innovative hardware, new control strategies, improved compliance, and feed-forward and adaptive control systems, as well as computerized modeling. In addition, new assistive, wearable robotic arm devices have been developed (e.g., MIT-Manus, the MIME, the ARM, and the iARM) to more carefully outline and address the engineering challenges related to what the robot can do, the logical physical targets for active assistance, and the joints and the types of movements that can safely be assisted.

There is no question that the demand for rehabilitation robotics is currently increasing, particularly with soldiers with traumatic injuries returning from war zones and with aging baby boomers. With the proliferation of innovative hardware, new control strategies, improved compliance systems, error amplification strategies, adaptive controls, and optimization of neurocomputational modeling, robotics and technology can provide assistance within virtual environments to speed up learning and recovery.

To endure, rehabilitation technology and robotic devices need to be reasonably priced, versatile, safe, reliable, durable, reparable, and easy to use. If devices are wearable, they also need to be lightweight, easy to don and doff, portable, and cosmetically acceptable. Robotic devices must also be adaptable across a variety of users and environments. Depending on their purpose, rehabilitation devices can operate at a distance from the user, be in proximity to the user, or be attached to the user. The device may be controlled through a motor, sensory, or brain interface. The device can perform tasks for individuals, passively move an individual, stabilize movement, assist and direct a movement, resist a movement, and even be “intelligent.” The primary technological challenge that remains is the complexity of controlling the accuracy, direction, balance, and force of robotic devices across the multiple body segments to successfully accomplish a task. This is a particular challenge when creating wearable robotics for human use.

The field of rehabilitation robotics is still considered to be in its infancy. However, with the increasing demand for effective rehabilitative strategies, many new and exciting innovations are being developed. There are many robotic systems in various stages of research and development, but only a few are commercially available. Improvements in engineering, materials, human physical interfaces, software, and robotic designs will require constant analysis and adjustment in the future. It is projected that the market for personal robotic devices will be worth $15 billion by the year 2015.15,16 The challenges of robotic engineering are broad. Clinicians will need to participate in research to help document cost-effective outcomes as well as to develop efficient screening criteria to match patient needs with available robotic devices. One of these challenges will be to bridge the gap between the mechanical attributes of robotic sensors, actuators, controls, microprocessors, force, velocity, friction, unweighting, pressure tolerance, software design, and flexibility with the human limb, brain, and nervous system. Important issues related to safety, materials, technology, and the quality of matching machine and human movements must constantly be considered. These engineering issues are discussed later in this chapter.

Classification of rehabilitation robots

General principles

There is a variety of ways to classify computerized technology for rehabilitation. For this chapter, we will group robotic technology first in terms of how robotics are used with or by the client relative to rehabilitation. This classification system is summarized in Figure 38-1 and Box 38-2. Rehabilitation technology can be further classified by a variety of variables summarized in Box 38-3. Rehabilitation robotics can also be classified by type of interface used. Some classification systems classify technology by multiple parameters.

Service robots usually focus on task performance, movement assistance, and stability. These devices can be fixed, can be movable, or can be attached to a wheelchair (Box 38-4). Assistive robotic devices help patients perform a task with direct or indirect assistance. Some of the assistive robotics are nonwearable but assist through unweighting or movement assistance (Box 38-5). Wearable robotics are specifically designed to be worn by patients to assist movements. These are designed for the upper or lower limb (Box 38-6). There are some new assistive training devices for the spine such as the Valedo Shape, Valedo Motion, and Hocoma devices (Figure 38-2). Prosthetic devices help patients maintain function despite the loss of a limb. Vocational robotics can enhance performance at work either in terms of repetitive motions or high-force task production that would otherwise be dangerous to humans. Communication robotic devices are designed to improve communication potential for subjects who cannot adequately speak or hear. Emotional support robotics are designed to provide emotional support for isolated individuals at home.

VR training technology (with and without robotics) provides the opportunity to simulate simple and complex environmental and clinical situations to facilitate learning (Box 38-7). Game-oriented computerized learning systems are currently popular for fun and recreation, but they can also facilitate memory as well as sensory and motor skill development. Finally, computerized technology can also enhance teaching home exercises to patients.

In this chapter, we will not address prosthetics for amputees, vocational robotics, communication robotics, emotional support robotics, or socially assistive devices,17,18 as these areas are considered specialty oriented and may or may not be included in traditional neurorehabilitation programs coordinated by physical or occupational therapists. However, information about the impact of the sound of the robot voice on patient motivation and compliance may be relevant to effectiveness. It is also important to acknowledge there are a number of motorized chairs, lifts, and walkers available that can be used to transition a patient from sitting to standing, or provide unweighting while walking or working on balance. Examples can be found in Box 38-8. Many of these systems are electromechanical systems controlled by the patient or the therapist. These devices are not usually programmable and are not classified as “rehabilitation robotics” or “advanced technology.” However, these types of devices are very beneficial for helping patients maintain walking and training to improve safety and quality of gait at home and with supervision. It is important for therapists to be sure these types of assistive devices have been integrated into a patient’s rehabilitation program and at home before recommending more sophisticated technology.

Description of robotic systems by type

Service robotic systems that provide movement assistance

Service robotics assist individuals with severe disabilities. Most commonly, the robot performs everyday activities (e.g., assisting with eating, drinking, object replacing, ambulating). There are three main types of schemes: desktop-mounted robots, wheelchair-mounted robots, and mobile autonomous robots. In general, these robots are used in the home, are interconnected to a variety of control systems, and are programmed to the environment and consequently are not very portable.1921

These types of robotic devices are generally used by patients with severe physical impairments and are generally preprogrammed to perform certain tasks. There are also some autonomous robots in which the cognitive interface between the user and the robot is used to tell the robot to perform a new task or to help the patient perform the task. These robotic systems are successful if the robot, the user, and the manipulated objects remain in the same initial set position every time a concrete task is performed. With the wheelchair-mounted manipulator, the relative position of the user with respect to the manipulator needs to remain the same. Although there are a variety of simple service-based robotic devices, most are complex, and setting them up at home generally requires a computer or engineering specialist.

Several examples of service robotics are described in Box 38-9.2230 A major issue is patient control options for service robotic devices. For example, through the use of headpieces on robotic devices, information can be detected from flexion and extension, rotation, and side bending of the head to operate wheelchairs, TV sets, telephones, doors, and security systems. There are also some new interfaces that are sensitive to facial movements and optoelectronic detection of light-reflective head movements.31 Other interfaces are sensitive to eye movements or use voice recognition, brain control,32,33 and gesture recognition.34 These interfaces not only may allow control of the robot but also may be applied to move a limb or perform a task.

BOX 38-9 image   SUMMARY OF SERVICE ROBOTICS

I. Fixed upper-extremity service robotic devices

The earliest robots were fixed-site robots.

Fixed robotics were located in a nonmovable workstation.

Stanford University researchers, Boeing, and researchers responsible for several advances in France made significant improvements, particularly in integrating existing robotic systems.

Later, special manipulators were constructed to better fit the environment and the task.

The most well known systems for feeding were the Handy 1, My Spoon, and Neater Eater.22

Today, these devices have been advanced with powered programmable devices (devices can provide maximum control for those with minimal voluntary ability and assistance for individuals who are trying to retrain the arm to work in a functional task).

II. Mobile service upper-limb robots

Mobile service upper-limb robots are actually mechanical slaves. They are instructed to perform tasks.

The technology must be adequate to operate autonomously.

These units are expensive both in development and maintenance and usually require an engineer to set them up in the house and maintain their function over time.

III. Wheelchair-mounted upper-extremity manipulators

Wheelchair-mounted manipulators were first designed at the VA Prosthetics Center in New York (1984).

The Raptor25 was produced at a lower cost (only 4 degrees of freedom).

Exact Dynamics has also created a robotic manipulator (iARM) that is designed to help provide independence to people with severe disabilities.

Exact Dynamics also produces the Dynamic Arm Support (DAS), which compensates for the forces of gravity, making the arm practically weightless. These devices are currently being used in rehabilitation settings for training and for research.

IV. Automatically guided wheelchairs (agws)

Powered wheelchairs can have autonomous intelligence systems attached.

AGWs are service rehabilitation robots intended to move the individual with severe disability.

Computer sensing devices can be set up to handle emergencies and assist with task performance.

The robot must receive instruction about the destination point.

V. Rehabilitation service robots: smart house design

For individuals with physical disabilities and older individuals, these smart devices allow residents to live independently with minimal or no human assistance.

There are a number of smart devices that can be installed in the house that are linked to one another to process information from the inhabitant to make decisions and take actions in case of emergency.

Smart house designs continue to be an area of development, particularly with the increasing number of aged individuals who are no longer able to manage independently.

VI. Functional integration of multiple robots in the intelligent home environment

In the intelligent home environment, there are additional rehabilitation robotics designed to work with home-installed devices.

Placed in the correct arrangement, these robotic devices are controlled in a coordinated manner.

Service robotics are recommended when patients have achieved their maximum potential and still need assistance to live independently. A therapist may continue to work with a patient at home in order to maintain range of motion, minimize skin problems, and review whether the robotic technology is still providing the necessary assistance. However, an engineer will usually assume the primary responsibility for maintaining and adjusting the robotic equipment.

Assistive robotics

Nonwearable assistive robotic devices.

Nonwearable assistive robotic technology can be programmed for unweighting, facilitating compliance, providing assistance to perform a task (at home or at work), manipulating the environment, communicating (general interaction or calling for help), or improving memory and learning. Nonwearable assistive robotic technology includes devices that can sense the user’s force and velocity of reactions and facilitate assistance. These robotic devices may also be programmed to implement different movement exercises to fit the needs of the user.

A variety of parameters such as range of motion, sequential motions, force, and speed can be adjusted. A few of these devices have become commercially available, but many continue to be used for testing in the laboratory. At present and in the foreseeable future, the emphasis is on enabling devices that encourage dynamic patient movements for training or for enabling independence. These types of devices do not include electromechanical devices such as motorized bicycles in which different speeds can be set (see the discussion of screening patients for service robotics).

Types of nonwearable assistive robotic devices.

There is a variety of nonwearable assistive robotic devices. Some of these nonwearable assistive robotic devices are summarized in Box 38-10.3543 This group of robotic devices primarily includes powered wheelchairs with autonomous intelligence, body-weight–supported mobile walking aids, robots for body support with indoor and outdoor navigation, hands-off service robotic devices, and body-weight–supported treadmill systems (BWSTSs) with and without robotics.37,4145

BOX 38-10 image   NONWEARABLE ASSISTIVE ROBOTIC DEVICES FOR GAIT TRAINING

I. Body-weight–supported mobile walking aids

Newly designed rehabilitation robotic systems can function as walking aids to help those who cannot walk independently.

Some mobile walking aids can walk the client, but others can also be used for training the patient to walk.

1. There are several electric motor-based gait rehabilitation systems.

2. Generally, gait rehabilitation systems include a robotic manipulator, a mobile platform, and a sensor system.

3. The robotic manipulator controls the amount of body-weight support.

4. The robot is mounted on a mobile platform that not only can support the user’s weight but can be adjusted to the height of the subject and provide stability when walking.

5. The robot has sensors to detect the status of the user (direction and velocity).

6. The mobile platform moves the whole system according to the subject’s motion with objects in the way of the moving platform detected by ultrasonic sensors on the front of the system.43

a. The mobile platform can vary from having a carlike design to having a mobile base with driving and steering wheels and differential driving mobile bases.

b. The front-wheel-drive carlike model has a complex mechanical design and can be very expensive.

c. The synchronous driving and steering mechanisms are complex but can approximate human walking, especially when the path is not linear.

d. Differential driving mechanisms require two independent driving wheels.

e. The mechanical architecture is simple and practical to implement but may require more maintenance.

f. There are training and following modes.

g. The challenge is to have sensors that can control stop and go of the user.

h. The supervisor can push an emergency stop button, but if the user is generally weak and does not have adequate balance reaction, the patient could fall when the mobile unit stops suddenly.

i. Example: the gait rehabilitation system:

(a) Used to study the impact of unweighting on gait parameters and patient exertion and heart rate.37

(b) Researchers have demonstrated that with increasing amounts of unweighting, there is an increase in single leg support and a decrease in double leg support, in terms of the percentage of time a given leg contacts the ground during steady-state walking.

(c) With increased unweighting and comfortable walking speed, there is a decrease in heart rate.

If the device is primarily used to facilitate standing to prevent contractures and skin ulcers, it may be classified as a stander rather than a walking aide.

II. Robots for physical support

Indoor navigation

Indoor and outdoor navigation

Unweighting with robotic-controlled stepping

Unweighting with robotic-controlled destabilization

1. One device that has been tested at the University of Chicago is the KineAssist (IMAGE).40 (See Figure 38-6.)

2. The KineAssist is a robotic gait training device that emphasizes balance recovery training during gait training.

3. The goal is to provide partial body-weight support and postural control on the torso while the patient walks over ground.

a. This device is on a mobile, multidirectional base that allows the patient to walk over ground, indoors or outdoors.

b. The trunk and pelvis are free to move, the legs are accessible, and the arms are free.

c. A servomotor follows the patient in forward, rotation, and sideways walking.

d. It has a robotic arm that is linked to the patient’s trunk.

e. The robotic arm can be set to allow the patient to move easily and even exceed the limit of stability.

f. The robot can also be programmed to specifically interfere with stability.

g. The patient can lose balance and “fall,” but the robotic arm will stop the fall after a defined range.

h. The patient can experience what is needed to keep from falling when the limit of stability has been reached.

i. With practice the patient can improve postural righting and balance.

IV. Body-weight–supported gait training systems

Without computerized assistance for stepping

1. Body-weight–supported gait training systems are designed to unweight the body to enable the patient to walk more easily.

2. The purpose of unweighting is to decrease ground reaction forces, protect against falling, improve balance, and improve walking speed over ground (see Table 38-4).

3. Most of these devices integrate self-regulated stepping by stimulating the automatic stretch stimulus to activate the pattern generator for stepping at the spinal cord level.

4. With unweighting, it is possible to maintain physical activity while undergoing healing and recovery.

5. Progressive unweighting and reweighting may also be important for maintaining bone mineralization during healing.

6. Unweighting may also make it possible for patients to perform more complex tasks such as one-footed balance, end range reaching without falling, and coordinated movement patterns such as skipping, dancing, ice skating, and roller skating without the risk of falling.

7. With unweighting:

8. A variety of unweighting systems are available for gait training. Most use a harness system; however, in 2011 new unweighting systems that use a harness and a leg system, air, or a bike seat were introduced.

a. Some emphasize walking over a treadmill and some over ground.

b. Some emphasize balance training and some emphasize gait training.

c. Most unweighting systems are comfortable at up to 20% to 30% of unweighting.

d. Some body-weight–support systems can comfortably unweight the body up to 80% (AlterG), and some 100% (e.g., GlideTrak, Gait Trainer).

i. In 2008, the AlterG air-distributed unweighting treadmill systems were approved by the U.S. Food and Drug Administration (FDA) for physical rehabilitation and gait training.

ii. In 2010 the concept of a bicycle was used for unweighting.

Body-unweighting treadmill systems with computer assistance for stepping and walking

1. Some body unweighting systems include a robot to assist with stepping.

a. The Lokomat (Hocoma) is a body-unweighting treadmill system that uses a harness for unweighting, suspending the patient over a treadmill.

i. An exoskeleton, robotic manipulator is attached to the patient’s legs with many sensors to detect the status of the user and step the legs.

ii. With linear potentiometers attached, the user’s walking direction and velocity are analyzed, and then parameters are computer generated to assist the patient in walking.

2. Other laboratory model robotic gait trainers use a system of cuffs and straps to help walk the legs.41,42

a. One system is a simple strap system (ARTHuR).

b. Another system includes a combination of straps and computerized control systems (PAM and POGO).

c. The KNEXO is a bilateral lower-limb robot-assisted exoskeleton developed by Pieter Beyl in Brussels.

d. STRING-MAN42

e. Passive gravity balancing leg orthosis (University of Delaware)35,36

Purpose of nonwearable assistive robotic devices.

Nonwearable assistive robotic devices were designed primarily to facilitate mobility and gait training. More specifically, body-weight–supported gait training systems were initially designed to unweight the body, decrease ground reaction forces (GRFs), and protect against falling (Figure 38-3). Under these assisted conditions, it is easier for patients to achieve intense levels of exercise such as walking, skipping, and running with less pain and less trauma to the joints.46 These systems also allow runners to exceed the speed of overground running while being protected from falling.47 Unweighting also allows patients to increase their heart rate more slowly while running or jogging at a higher speed.47 For patients with spinal cord injuries, body unweighting over a treadmill was a translation of basic science findings to clinical practice. In animal studies, walking ability could be restored after induced spinal cord injury by facilitating the spinal generator for stepping through movement of the treadmill belt.4850 Through unweighting, it is also possible to maintain metabolic activity while allowing healing and recovery after joint inflammation, muscle injuries, degenerative joint conditions, bone fractures, surgical repairs, joint replacements, osteoporosis, stroke, or head trauma. Most of the research on bone density is based on studies involving patients with spinal cord injuries. In these studies, walking on a BWSTS does not significantly increase bone density. However, those who walk on the BWSTS lose less bone density than those who do not exercise on the treadmill.51,52 On the other hand, although body-weight–supported treadmill training (BWSTT) may not necessarily increase bone density, particularly in patients with spinal cord injuries, exercise (with or without BWSTT) can increase muscle mass and/or prevent atrophy. On the other hand, in one study the use of shorter, frequent mechanical loading sessions was correlated with enhanced bone mass.53 More research is needed to determine the time and frequency of standing and walking exercises and their beneficial effects on bone density.54

Key features of unweighting.

A key feature of BWSTT is the degree, comfort, and convenience of adjustable support.55 Whereas harness systems are the most commonly used for unweighting, when high levels of body support are needed or patients are jogging, these harnesses can be uncomfortable and cause pressure chaffing. This has led to the development of new body-weight–support systems such as the AlterG trainer (Figure 38-4), which uses a lower-body air distribution system, or the GlideTrak and Glide Cycle, which use a suspended bicycle seat–type unweighting system (Figure 38-5). The movement of the treadmill support surface provides an automatic stretch stimulus for the individual to step. In addition, the speed can be modified to stimulate faster or slower lower-extremity movements, which is very beneficial for individuals who need to vary the rate and responsiveness of their motor movements, such as clients with Parkinson disease, aging adults, or individuals with balance impairments. See Table 38-1 for a summary of the characteristics of some of the current unweighting systems.

TABLE 38-1 image

NONWEARABLE ASSISTIVE UNWEIGHTING GAIT TRAINING SYSTEMS

NAME TYPE OF UNWEIGHTING ROBOT ASSISTED SURFACE FOR TRAINING ENVIRONMENT FREEDOM OF TRUNK CHALLENGE TO BALANCE
Bike Seat HARNESS AIR GROUND TREADMILL PLATFORM INDOORS OUTDOORS
AlterG     x     x   x   Good Stable
Biodex   x     x x   x   Partial Stable
Gait Stepper   x   x     x x   Partial Stable
Gait   x   x x     x   Partial Stable
Trainer                      
GlideTrak x       x x   x x (bike) Good Unstable
KineAssist   x   x (arm) x     x x Partial Unstable
Lokomat   x   x   x   x   Limited Stable
Mobility Research   x     x x   x x Partial Stable
Bioness ZeroG   x     x x   x   Good Unstable
Guldmann harness system   x     x x   x   Good Unstable

image

Effectiveness of body-unweighting treadmill training.

Various biomechanical studies have been done to confirm the parameters of unweighting. After use of early lower-body positive pressure support (LBPPS) prototypes, Grabowski46,47 reported that GRFs were reduced while metabolic power demands were maintained during running. Individuals could achieve faster running speeds when under conditions of unweighting. With slow-speed running on the LBPPS (1.0 to 1.5 mph), it is possible to reduce GRFs by 50% when the body is unweighted to 27% to 48% of normal body weight. At faster speeds (3 to 5 m/s; 6.6 to 11 mph), individuals must be unweighted to 25% of their body weight to maintain a GRF similar to that during walking over ground.

During progressive levels of unweighting, Ruckstuhl55 compared cardiorespiratory performance, gait parameters, and comfort between a laboratory prototype device similar to the LBPPS AlterG trainer and a traditional harness BWSTS. Subjects reported significantly greater comfort using the AlterG trainer and greater tolerance for high unloading. Subjects had significantly lower heart rates when training on the LBPPS versus the harness-based body support system. Other clinical studies have been carried out to confirm the benefits of body unweighting for patients with neurological problems (Box 38-11).

The outcomes studies on BWSTT (in patients after stroke, after spinal cord injury, and with Parkinson disease) have generally positive findings. BWSTT enhances gait speed, endurance, and potentially quality.5658 It is important to force patients to walk at community-level velocities of at least 0.8 m/s (faster than 2.0 mph).5963 With forced intensity, patients are more likely to achieve physiological and possibly neuroprotective benefits.64,65 For those who make the greatest gains, the improvement has been noted as increased single-limb support, particularly on the most affected limb of individuals after stroke.66 Although there are positive mobility benefits of BWSTT for patients with spinal cord injuries,58,59,6773 guidelines still have not been generated regarding the best parameters for training (e.g., speed, amount of unweighting, time of intervention). Furthermore, one randomized clinical trial found that intense task-specific gait training over ground was equally as effective as intense body-weight–supported gait training for patients after stroke and after spinal cord injury.74 In another study, BWSTT produced similar gains in mobility compared with locomotor training at home.56 However, there were more falls in those patients who were started on locomotor training early rather than late. In addition, although the outcomes of improved gait performance are similar for BWSTT and aggressive bracing-assisted walking over ground for patients poststroke, the patients with the most severe impairments made the greatest gains with BWSTT.75 Other researchers have reported statistically significant gains in balance, balance confidence, and quality of life after chronic poststroke patients were trained on a BWSTS. However, over the long term the gains were not necessarily considered to meet the criteria for minimal detectable change.76 It appears that the gains in speed after BWSTT should be 0.16 m/s to achieve a minimal clinically important difference.77 Furthermore, there may be additional training activities that can be done to increase the effectiveness of BWSTT, such as VR training,78 electrical stimulation,79 constraint-induced therapy and/or robotics,70 or dual-task learning-based training.80

One BWSTS device allows the individual to walk overground while having one arm attached to the apparatus. The KineAssist gait trainer–destabilizer is an example of this type of body-supported gait trainer (Figure 38-6). Its primary function is to retrain balance to prevent falling. It is considered a BWSTS because the attached arm perturbs the individual while walking and can also provide some support. It perturbs the individual to fall and then catches the individual before he or she falls to the ground.40

Key elements of wearable assistive robotic devices.

Two major issues in wearable robotic devices are safety and dependability. A third major issue is the quality of the interface with the patient and the control of the assistive robotic device. In designing a wearable robotic device, biological principles must be followed. It is important for the robot to be adaptable with minimal weight, muscle fatigue, and energy consumption. In addition, there should be minimal damage imposed on the tissues while the biological systems have high functionality. The extremities can be used to perform multiple tasks, and the redundancy of the joints and degrees of freedom (shoulder, elbow, and wrist) allow human subjects to perform tasks in a variety of ways, creating high functionality. The robot must be adaptable, have minimal weight, be slim, create minimal muscle fatigue, conserve energy, and be easy to control. In addition, there should be minimal damage imposed on the tissues while the biological systems have high functionality. Consistent with biomechanical function of the upper limb, the upper limb must be able to perform multiple tasks with redundancy of the joints and degrees of freedom from the shoulder to the elbow to the wrist. This redundancy, integrated within different environments, provides the opportunity for variation in movement, high functionality, and minimum energy costs.81

With the nervous system as a model responsible for processing sensory (afferent) information (e.g., tactile and kinesthetic [muscle length, joint compression]) to generate a movement (efferent), the system is based on an internal model of processing, with action potentials generated after excitation. This action potential triggers muscle contractions at the motor end plate. Three types of muscle fibers can be facilitated: skeletal, smooth, and heart muscles. The heart muscle is controlled by the autonomic nervous system. When excited, the muscles change shape (especially length) owing to the sarcomeres’ contractile elements producing a force that is dependent on the volume of the muscle and its innervation. A little force recruits the slow fibers first. With increased force, faster fibers are excited. The excitability of the muscle fiber is not linear; however, passive length-tension relationships are linear.

The sensorimotor mechanisms are essential to this model. The muscles are actuators with built-in sensors that measure length, rate of change of length, and force. These muscle receptors are part of the proprioceptive sensory system. With muscle movement leading to joint movement, the Golgi tendon organs (GTOs) are activated. When the GTO is compressed, it is excited and limits firing to avoid muscle tearing and joint damage. The intrafusal muscle spindles sense the length of the muscle fibers, and the extrafusal fibers sense the length of the muscles. These fibers control the stretch reflex and the inhibitory reflex caused by the GTOs.

The biomechanics of the human limbs must also be considered part of the model. The limbs move in a three-dimensional space. The concavity and convexity of the joint surface control limb movement. This movement can be altered by using the limb in an open or closed chain condition.

In addition to the neural, muscle, and sensory components, there are other issues that modify patient responses. First is the strength of the stimulus. Second is the consequence of the action. Third is the tendency to minimize complexity of movement. Fourth is the imitation of movements and actions of others (e.g., following someone). Then there is the replication of the movements and the ability to accomplish the task in the same way more than once. However, it is not easy to model the biological system owing to the many redundancies and complexities. Engineering models tend to try to simplify the systems.

Assistive robotic devices for rehabilitation need to be slim, lightweight, and easy to control mechanically. If the device is mounted on a wheelchair, it needs to be mechanically integrated with the control of the wheelchair and consume minimal power.

Walking efficiency is one area that has been studied for many years. Walking, for example, is a translation of the center of mass over the base of support, with progressing, controlled falls, prevented by having the swing leg come through and quickly plant the heel or foot to catch the fall. Usually a certain speed (cadence and step length) is selected to minimize metabolic energy.

Classification of wearable assistive robotic devices.

Wearable assistive robots can be classified in a number of ways. Most simply, they can be classified by body part, such as the upper limb, lower limb, or trunk. They can also be classified by how they are powered (e.g., static orthotics for stability, prosthetic robots, or empowered exoskeletons for task performance or mobility for gait training). Empowered exoskeletons, called extenders, are controlled by the individual and are usually designed to enhance the performance of the subject beyond natural ability. This is a type of master slave. These robotic devices usually require an external force. Most often, these master slave robotics are used in space and certain types of research rather than rehabilitation and will not be elaborated on in this chapter.

In designing a wearable robotic device, biological principles must be followed. The wearable robot must be adaptable with minimal weight, muscle fatigue, and energy consumption. It should be compact, miniaturized, portable, and energy efficient. In addition, there should be minimal damage imposed on the tissues. Redundancy of the joints and degrees of freedom allow a variety of ways patients can perform a task. However, these redundancies may be hard to control. Wearable robotic devices will vary by type of human interface system incorporated (e.g., brain neurons, cognitive, sensory [tactile, pressure], physical [movement], or breath). At a minimum, the physical interface of a wearable robot requires an actuator and a rigid structure to transmit forces to the neuromusculoskeletal system.

Some common types of wearable assistive devices are summarized in Box 38-1210,11,82114 for the upper extremities (Figure 38-7) and Box 38-1310,11,35,42,115121 for the lower extremities (Figure 38-8). In general, they are divided into three categories of wearable robots: single-task robots, workstation robots, and wheelchair-mounted manipulators (see Figure 38-7). They can also be classified by whether they use neuromuscular stimulation or biofeedback to assist the movement (Figure 38-9). Some patients use these wearable assistive robotics for training and recovery. Those who have reached a plateau in recovery may continue to use these assistive robotic devices for ongoing functional assistance and safety.

BOX 38-12 image   WEARABLE ASSISTIVE ROBOTICS FOR THE UPPER LIMB

I. Wearable assistive robotic devices: fixed, attached to wheelchair, or mobile83

Workstation assistive robots (fixed site)

Wheelchair-mounted robots for training

1. Usually unilateral.

2. First arm robot developed by Neville Hogan and his research group at Massachusetts Institute of Technology (MIT).86,87

3. The primary commercially available model for this is the Manus.

4. Raptor Rehabilitation Technologies, Division of the Applied Resources Corporation

5. Spitting Image (Jim Hennequin in United Kingdom)

6. Armeo (Hocoma) attached to chair and workstation (see virtual task practice)

7. WREX—Wilmington Robotic Exoskeleton (new model WREX II)

Temporarily mounted but freely moving upper-limb robot: Jacob Rosen, University of California, Santa Cruz

Freely moving wearable assistive upper-limb exoskeleton

II. Wearable assistive robotic devices for task practice

Virtual reality task practice

1. Armeo—Hocoma

2. University of California, Santa Cruz upper-limb exoskeleton

3. L-Exos system (University of Pisa, Italy)

a. Five degrees of freedom and force feedback.

b. Used to study the benefits of robotic-assisted virtual reality–based rehabilitation for chronic poststroke patients.

c. Patient sits with the right forearm (not left) in the exoskeleton.

d. Video projector displays a virtual scenario: a reaching task.

e. A motion task constrained to a circular trajectory and an object manipulation task are practiced.

f. Designed to be used in a fixed workspace.

g. On some tasks, the robot provides assistance; on other tasks, no guided assistance is provided, but the therapist can elect to unweight the arm.

h. Device is controlled by two concurrent impedance controls.

i. Reaching and following accuracy are calculated.

j. Patient cannot use the device to move around and perform a variety of daily activities.

Real task practice

1. Single task robots—The single-task robots carry out predefined tasks (e.g., eating) activated by simple input devices. The most successful example is the Handy 1.83

2. Multitask robots

a. Manus Assistive Robotic Manipulator (iARM, ARM, MIT-Manus, Exact Dynamics)84

i. Wearable orthotic is activated and monitored based on myoelectric and visual signals.

ii. Robot is attached to the wheelchair; is available where the wheelchair is located.

iii. Patient puts on the exoskeleton and is able to use a gripper end-effector to perform tasks.

iv. Manus-HAND includes fingers with three joints.

v. Crossed tendon mechanism is used to control the amount of flexion and extension movements.

vi. Movement of the wrist is separate from movement of the hand.

vii. Dexterous nature of the hand is limited by the current actuation technology.

viii. Force sensors are present on the thumb and two fingers.

ix. There is real-time identification of electromyographic commands and computation of control loops and force biofeedback.99

x. Has a two-fingered gripper end-effector.

xi. Has six plus two degrees of freedom.

xii. User can control the Manus ARM by accessing menus on standard devices (e.g., keypad, joystick, or switch).

xiii. Patient can move each joint individually.

xiv. Vision system has two cameras mounted with the camera at the shoulder providing the perspective of the occupant and a camera within the gripper to provide a closer view of computer control.

xv. Task includes a gross reaching movement to the target and then fine motor control of the end effector to manipulate the object.

b. Mirror Image Mobilization Enabler (MIME) System (Department of Veterans Affairs Research and Development, Palo Alto, Calif).

c. In Japan, two exoskeleton-based systems were developed at Saga University.

d. In Switzerland, the ARM was also developed with three degrees of freedom for shoulder and one degree of freedom for elbow actuation.

e. The Salford Exoskeleton is based on a pneumatic muscle actuator system (pMA) and provides power over weight ratios.

f. Gentle/S robotic assistance (Europe)—integrates haptic technologies with high-quality virtual environments to drive practice in patients with upper-limb impairments.85

III. Biofeedback and upper-limb robotic devices: actual task practice

Myomo mPower 1000 exoskeleton for the elbow

1. It is a wearable assistive robotic device for facilitating control of the elbow.

2. It is programmed to sense patient effort (muscle firing) with elbow flexion and extension before providing assistance to the patient.

3. mPower 1000 is approved by the U.S. Food and Drug Administration (FDA) for use in the home or in the clinical setting.

4. Designed to pick up patient effort and then assist with elbow movement for patients after stroke, spinal cord injury, multiple sclerosis, cerebral palsy, muscular dystrophy, or traumatic brain injury.

5. Based on MIT-developed technology.

6. Fits like a sleeve on the arm.

7. Has sensors that are in contact with the skin and the muscles to detect even faint muscle signals.

8. When the person tries to move and the muscle fires, the robot will engage to assist in completing the desired movement.

9. Unit can be programmed to assist with elbow flexion, elbow extension, or both elbow flexion and extension.

10. Sensor electrodes are placed over the biceps and triceps.

11. Therapist selects the desired mode, and the patient practices object manipulation and task activities with assistance of one or both muscles.

12. Device is battery powered and allows the patient to move around when practicing.

13. The patient and the therapist create the tasks.

14. Robotic device does not include an end effector such as a hand or a claw.

Hand Mentor (Kinetic Muscles)—another upper-extremity assistive robotic device that assists patients with repetitive practice of hand and wrist movements

AMES—assisted movement with enhanced sensation (upper limb)

IV. Neuromuscular stimulation and wearable upper-limb robotics to assist task practice

Neuromuscular stimulation to facilitate upper-limb movements with assistive robotic devices

1. Surface electrodes

2. Muscle-implanted electrodes for neuromuscular stimulation with assistive robotic devices (no commercial products in 2011).

3. Subdural implanted electrodes in brain to provide electrical stimulation to control limbs for patients after spinal cord injury. Current area of research in 2012 with promise for functional use in the clinic.

V. Brain-connected wearable upper-limb robotics

Brain interfaces are being developed.

Brain-machine interfaces.

BOX 38-13 image   GAIT TRAINING WEARABLE ASSISTIVE ROBOTIC DEVICES FOR THE LOWER LIMB

I. Lower-extremity gait training wearable assistive robot

Unilateral exoskeleton

1. Tibion Bionic Leg

a. A wearable, unilateral, assistive robotic device, commercially available in 2009.

b. Exoskeleton is noninvasive: rigid and soft material.

c. Exoskeleton can fit right or left leg.

d. Uses sensors, a microprocessor, an actuator, and customized software to automatically detect a user’s action (e.g., walking or climbing stairs).

e. Programmable to the individual patient in terms of:

f. Battery operated.

g. Weighs approximately 5 pounds.

h. Effective115

Bilateral robotic-assisted lower-extremity exoskeletons

1. REX (robotic exoskeleton)

a. Bilateral robotic exoskeleton for walking.

b. “Step-in” exoskeleton.

c. Device supports an upright posture and robotic-assisted walking.

d. Does not require a backpack or crutches.

e. Two large legs support and lift the user.

f. User controls the system with joysticks at his or her side on the exoskeletons.

g. Can be used by individuals who can self-transfer and operate hand controls.

h. Used mostly with patients with spinal cord injuries.

i. Suitable for patients with other orthopedic and neurological conditions.

j. Uses a rechargeable battery (runs for 2 hours; takes 3 to 4 hours to recharge).

k. Costs approximately $150,000 and is available only in New Zealand and England.

l. Programmable; provides assistance for both legs through sensors, microprocessors, and actuators controlled by a joystick.116

2. Ekso—Berkeley, California

a. Initially referred to as eLEGS in Home Rehabilitation System; designed by Homayoon Kazerooni, University of California, Berkeley; manufactured by Berkeley Bionics)

b. Original step-in bilateral exoskeleton was used in war to assist a soldier to carry people and objects

c. Ekso Bionics (formerly Berkeley Bionics)

i. Integrates sensors in the crutches and the feet with computer-generated stepping of the legs, including flexion of the knee.

ii. Enables paraplegic patients to walk with a four-point gait.

iii. Model for gait training is being designed for patients poststroke.

iv. Patient has to have enough strength to rise from the chair or a wheelchair.

v. Easy to step into exoskeleton.

vi. Computer and battery carried in backpack.

vii. Primary advantages are that this exoskeleton:

viii. Currently available to institutions for clinical use and for research.

ix. Scheduled to become commercially available for personal use and training in 2012.

3. ReWalk

4. Cadence Biomedical

5. STRING-MAN—wire robotic gait system

Lower-limb assistive robotic devices with neuromuscular stimulation

1. Surface electrodes

a. WalkAide

b. Bioness L300

c. Bioness L300 Plus for foot drop and thigh weakness

2. Implanted neuromuscular stimulation

a. Implant electrodes for single or multiple muscle groups.

b. For the ankle, implant electrodes for peroneal stimulation.

c. For sequential gait in patients with spinal cord injuries, implant a series of multiple electrodes for walking.

d. Facilitates sequential gait in patients with spinal cord injuries.

e. Eight- to 12-channel units have been implanted in several research studies for patients with partial cervical spinal cord injuries.

f. System has been well tolerated and reliable.

g. Has been associated with increased endurance and walking speed after 12 weeks of training.

h. Improves efficiency with practice.

i. Advantages: decreases skin irritation, can decrease amplitude necessary for activation.

j. Disadvantages: needles may be uncomfortable; can get infected.

k. Expensive and not necessarily user friendly for patient to use alone.

Biofeedback-facilitated assistive robotic devices

1. Foot Mentor (Kinetic Muscles)

2. AMES—assisted ankle movement with enhanced sensation

In 2012, there were a variety of wearable upper-limb robotic devices on the market, and most were unilateral (see Box 38-12). At the same time, there were fewer lower-limb wearable robotic devices on the market; however, a variety of lower-limb exoskeletons are under development10,11,35,94 (see Box 38-13).

Wearable assistive robotic devices with neuromuscular stimulators.

Wearable assistive robotics with neuromusculoskeletal stimulation are available for both the upper and lower limbs. Ideally, both muscle stimulation and active voluntary muscle contractions are used to increase functional use. These robotic devices may facilitate muscle contractions in one or more directions around one joint such as the elbow, wrist, or ankle.

The primary impairment that can be addressed with neuromuscular stimulation is muscle weakness, but the patient may also have neuromotor control problems or abnormal synergies of movement. These devices work only when peripheral nervous system function is preserved. However, in the case of patients with spinal cord injuries, multiple electrodes may need to be used to sequentially activate a series of muscle contractions to enable walking. Similar robotic devices are available for patients poststroke. The electrodes are placed on the skin within the wearable robotic device and programmed for stimulation during specific movements.

Effectiveness of wearable assistive robotic devices.

The effectiveness of wearable assistive robotic devices is promising. Assistive robotic devices for the lower limb have been positively associated with short- and long-term gains in gait speed, quality of gait, endurance, time in single leg stance, toe clearance, and balance.35,115,119,120 There is also positive evidence supporting the effectiveness of training with a neuroprosthetic ankle-foot gait trainer, with short- and long-term gains reported in gait speed, endurance, safety, and quality.122126

For upper-limb assistive robotic training, there are positive trends for improving motor control, particularly in patients poststroke.84,96,105,106,127143 Unfortunately, based on a systematic review of upper-limb robotics,132,133 improved function in task performance and object manipulation was not necessarily correlated with improved motor control. The gains in motor control appear to be greatest when one-on-one care is supplemented with robotic training.

Research studies also report improved motor control with the integration of a neuroprostheses in functional arm training (e.g., includes neuromuscular stimulation or biofeedback).82,144146 However, although there are greater gains in motor control, these gains are not necessarily associated with improved function.146

For both upper- and lower-limb neuroprostheses, greater gains are made by patients with the most spontaneous recovery before robotic training. In addition, earlier training appears to be associated with greater gains in motor control. Training needs to be repetitive and intense (several hours a week) for a period of time (e.g., 2 to 8 weeks). Unfortunately, some of the robotic devices for the upper limb do not have an end effector, limiting the gains in object manipulation.

For both upper- and lower-limb assistive wearable robotics, more research is needed in a variety of areas: comparing the effectiveness of unilateral versus bilateral training; functional benefits of wearable exoskeletons for the upper limb that have an end effector to allow better object manipulation; the benefits of one-on-one therapy supplemented with robotic training compared with one-on-one therapy or robotic training alone; timing of the robotic intervention; and intensity of training. It will also be necessary to determine whether a device should be leased for temporary use or purchased for long-term use.

Communication devices.

Most communication devices include communication aids (e.g., hearing aids, voice amplification systems, computer keyboards). However, there are some assistive robotic devices that are currently being used that are appropriate for patients who are deaf or blind. For example, the Dexter hand can act as a finger-spelling hand for patients who are deaf or blind. Because finger spelling is not understood by the general population, the Dexter also enables a person to input normal text and the Dexter converts it to finger spelling.

Another important element for communication is the ability to read a book. Designing a robot to turn pages has been very challenging. Although there are page-turning robotic devices on the market, they are expensive, bulky, and not reliable. New computerized book reading devices serve as an alternative for those with limited physical capacity to turn pages.

Emotional interactive entertainment and friendly robots.

Emotional interactive entertainment robots (EIARs) are similar to VR systems. EIAR systems are designed for communication and emotional support.147 EIAR devices can increase emotional comfort and give emotional relief to people who live alone.

Entertainment robots are mechatronic devices that exhibit animal-like behaviors.

For example, within the project Home Information Infrastructure House (HII) house, National Panasonic introduced a user-friendly home interface for older people as a memory jogger (e.g., cuddly toys). The speech synthesis can reproduce phrases and can be programmed to remind users to take their medications at a particular time. Failure to respond can activate a direct call to a caregiving staff member who can then check on the user. BECKY,148 a friendly robot from Korea, demonstrates different behaviors according to the emotional status of the user. The seal robot and the cat robots from Japan149,150 provide interactions between hospitalized human patients and the pet robots. The Autonomous Robotic Remedial Activity (AuRoRA) Project151,152 applied robots to education and therapy for children with autism.

Screening patients for the integration of robotic technology

General screening

The criteria used to determine which patients might benefit from rehabilitative technology will change over time. Screening is partly an art that includes sensitivity to the individual and the family, as well as a science. Before screening a patient for robotic technology, clinicians need to be certain that all standard assistive devices have already been integrated into the individual’s rehabilitation program. Ultimately, guidelines should be developed to match the potential of the individual with the prognosis for independence, with and without dependable, user-friendly technology.

An objective evaluation is needed to match a patient with a commercially available robotic device. This evaluation must include a thorough assessment of anatomical, physiological, cognitive, and sensory impairments. Whenever possible, standardized tests should be used to document strength, flexibility, endurance, balance, coordination, synergistic responses, hypertonicity, gait, balance, posture, and postural righting skills. These impairments need to be integrated into functional and task-specific assessments of motor learning, motor control, activities of daily living (ADLs), work requirements, and recreational needs. Then each patient should be screened by defined objectives relative to outcomes in terms of quality of life and independence. Subjective and emotional issues such as attention, motivation, history of positive health behaviors, durability, depression, desire for independence, and commitment to learning must also be considered. Many of these assessment tools are described in Chapter 8. The challenge is to determine if achieving rehabilitation goals requires integration of advanced technology and whether the patient has the potential to be trained to benefit from the prescribed technology.

Specific screening by type of robotic device

Table 38-2 summarizes some screening criteria that could be used by the therapist to determine if a patient can include rehabilitation technology into the plan of care in order to maximize function. This table also summarizes the level of function required by the patient to be able to effectively use robotic technology to improve independence and quality of life. The criteria to assess patient needs and abilities are classified by type of robotic technology. The criteria are neither all-inclusive nor exclusive but serve as a starting point for a therapist to make a recommendation for this type of technology to be considered.

TABLE 38-2 image

SCREENING PATIENTS FOR INTEGRATING ADVANCED TECHNOLOGY OR REHABILITATION ROBOTICS INTO NEUROREHABILITATION

    ASSISTIVE ROBOTIC DEVICES
SCREENING CRITERIA SERVICE ROBOTIC DEVICES NONWEARABLE—MOBILITY AND UNWEIGHTING WEARABLE—MOBILITY AND OBJECT MANIPULATION
Criteria for determining potential benefit for patient to integrate advanced or robotic technology Patient with severe physical impairments challenged to be independent without personal assistance:

Patient with mobility impairments compromising safety, full independence, and quality of life:

1. Has impaired ability to walk

2. Has poor or slow balance responses

3. Demonstrates unstable single-limb support (unilateral or bilateral)

4. Is at risk of falling

5. Could benefit from fall protection when standing

6. Is weak (has poor strength)

7. Has difficulty initiating stepping

8. Lacks high-quality voluntary control for walking

9. Has involuntary synergistic movements

10. Has reduced flexibility

11. Uses an assistive mobility device

12. Needs to reduce ground reaction forces when walking or during intense exercise owing to pain, inflammation, osteoporosis, joint replacement, incoordination, and so on

13. Walks very slowly (household ambulatory but limited community ambulation)

14. Must maintain cardiopulmonary and metabolic health

15. Could benefit from stimulation of neurotransmitters and endorphins

Patient with impairments compromising mobility and/or independent task performance at home, at work, or during recreation:

Screening criteria to determine if patient has the ability to use advanced or robotic technology Patient has potential to achieve independent wheelchair mobility and ADLs at home with reduced human assistance:

Patient has the potential to improve walking quality and speed, endurance, and independence with progressive practice or training:

1. Has cognitive ability to participate in training

2. Has sufficient attention and understanding to cooperate in gait training

3. Has adequate head and trunk control to maintain postural uprightness when legs moving

4. Has sufficient strength in legs to stand up when unloaded or protected from falling

5. Has some sensation in lower limbs or can see legs

6. Has partial movement in major muscle groups in lower limb (hip, knee, ankle)

7. Has sufficient range of motion to get into standing or walking position

8. Can transfer onto the treadmill or transfer from chair to standing

9. Tone does not prevent the feet from staying on the ground or stepping when unloaded

10. Has ability to step when standing over ground or over treadmill

11. Steps after perturbation of the treadmill

12. Can swing leg through clearing floor or treadmill (with or without AFO).

13. Stepping speed can be changed with treadmill speed

14. Can tolerate training several hours a week

Patient has the sensory, physical, and cognitive ability to control a wearable device to achieve independence in mobility and/or object manipulation:

1. Has intellectual ability to understand how to use the wearable assistive orthotic device

2. Has the ability to don the wearable assistive device (or has someone at home to help)

3. Is motivated to use a wearable assistive robotic device to improve independence

4. Has basic stability of the head and trunk to move the limb(s) (even if positioning device is required)

5. Involuntary movements do not interfere with robotic assistance

6. Has adequate standing balance (with or without cane or walker) to work with a wearable assistive orthotic gait training exoskeleton

7. Has the range of motion to allow full or partial task function

8. Has adequate sensation to sense rubbing and chaffing of orthotic device

9. If inadequate sensation, has sufficient vision, audition, touch, or cognition to monitor wear and control of interface

10. Has adequate strength to lift the weight of the exoskeleton

11. Has sufficient voluntary control to assist the exoskeleton

12. Able to use the robotic assistive device several hours per day

13. Has the physical, sensory, sensorimotor, and/or cognitive skills to control the interface of the assistive robotic device

14. If unable to meet 13, may be eligible for advanced technology using a brain interface

Screening criteria to determine temporary versus permanent need for technology Patient has:

Patient has:

Patient has:

1. Goals and objectives to be functionally independent without personal assistance

2. Predictable disease- or impairment-specific issues that require regular exercise to maintain and maximize independence despite injury or disease

3. Ability to maintain if not maximize independence despite injury

4. Ability to use robotic technology to improve functional recovery

5. Ability to put on and remove the assistive devices

6. Ability to slow down progression or maintain or improve function despite neurodegenerative condition that could be slowed with protected, guarded, stress-reduced intense exercise

7. A support system (family or community) to check on status at home

8. Access to public transportation to achieve community independence

9. Ability to maintain independent community driving with regular training, simulation, car modification

Screening criteria to determine safety Patient has:

Patient can:

Patient has:

Screening criteria to determine accessibility of advanced or robotic technology Patient has:

Patent has:

Patient has:

Screening criteria to determine cost-effectiveness of advanced technology or rehabilitation robotics There are clinical research trials reporting:

image

ADL, Activities of daily living; AFO, ankle-foot orthosis.

Screening patients for a service robotic device (e.g., motorized wheelchair)

Motorized wheelchairs are the most common type of “service” technology used in rehabilitation. Motorized wheelchairs are designed for patients who have extreme weakness of the legs, upper limbs, and trunk and who cannot use a manual wheelchair to achieve an element of independence. One of the most important issues to consider is how the individual patient will control the wheelchair. Frequently this is a team decision including the patient, the family, the therapist, and the supplier.

When a patient is going to use a motorized wheelchair outdoors, consideration must also be given to car accessibility and public transportation. Many individuals will use a motorized wheelchair at home and around the neighborhood and use a manual wheelchair when traveling out in the community. For community integration with the motorized wheelchair, some special adaptations will be needed for the car. A drive-in ramp or a lift plus a seat belt for the person and the chair are minimum requirements. It may be possible to install driving controls for the hands instead of the feet and create a wheelchair-accessible van if the person has sufficient cognitive ability but has minimum control of the legs but good control of the hands and arms. This control system requires the ability to grasp and release the steering wheel, turn a key in both directions or push a start button, and turn the steering wheel to the right and left with sufficient control of the head to look to the side and back to control the van in order to back up.

For those with limited ability to control a motorized wheelchair, automatically guided wheelchairs (AGWs) can facilitate transportation in the indoor environment. The AGW relies on verbal commands from the user and/or programmed responses. The programs are usually goal oriented. With these “go to goal” wheelchairs, the patient gives the command through a sound, a word, or pressure, and the navigational system automatically manipulates the chair to the goal. The AGW will work best in a structured or semistructured environment in which the locations of objects in the environment are fixed. These devices usually have passive sensitivity, with sensors programmed for object location. Often the actuating and force sensors as well as the relays are mounted on the ceiling of the room. The sophistication of the sensors creates a variance in the cost of these chairs. The chair also needs to be integrated with other home service robots. Therefore a team including patient, family, therapist, and representative from the company providing the service robots should be involved in determining what is needed.

There are also new power assist wheelchairs (PAWs) for patients with acceptable upper-limb function. Shoulder strain is often an issue in patients who are very active in a manual chair. Thus the new PAWs are designed to minimize shoulder strain. They have been adapted specifically for patients with paraplegia after spinal cord injury.

If a patient also requires a home service robotic system to perform all ADLs and instrumental activities of daily living (IADLs) for the patient, a team would also be necessary to screen the patient to determine all the patient’s needs as well as to assess the availability and accessibility of resources. The team needs to include a representative from the company that would be creating the “smart house” to enable the patient to be independent with minimal personal assistance. Refer to Appendix 38-A for potential Web addresses for various companies offering this type of service.

Specific screening of patients for assistive nonwearable robotic technology: example of body-weight–supported gait training technology systems

The patient needs to go through general and specific screenings to determine the appropriateness of integrating a nonwearable assistive robotic device into the rehabilitation program (see Table 38-2). The patient who is most likely to benefit from body-weight–supported gait training is the patient who has the prognosis for functional independence but needs to train to improve quality, endurance, speed, and stability of gait. Thus many patients with problems described within this text might benefit from this type of training. Those who do not have the potential for independent ambulation could still benefit from training on a BWSTS. In these cases, the training would be directed toward enhancing metabolic health, providing a sense of well-being, increasing circulation, and minimizing secondary impairments associated with excessive sitting such as decubitus ulcers and bone demineralization. These patients may need robotic, human, or harness assistance to achieve standing or stepping as well as bracing of the neck and trunk when upright. Patients with joint pain in the back or knee may also benefit from wearing supports when standing or exercising.

If a patient does not demonstrate the ability to bear weight on a single limb, then robotic control of the lower limbs may be the preferred mechanism to facilitate secondary benefits. When all the movements are passive, however, there will be minimal gains in terms of neural adaptation and reorganization. On the other hand, it may counter the secondary problems of bone demineralization and decubitus ulcers and be of value as a maintenance strategy.

In spite of advancements in rehabilitation robotic technology, some patients may still have difficulty taking advantage of this type of therapeutic assistance (Box 38-14). In patients with challenging impairments, for safety the use of an overhead harness to access the treadmill may be required, in addition to close supervision by one or more therapists.

Specific screening of patients for wearable assistive devices

Most patients with temporary or permanent sensory, motor, or structural impairments can benefit from training with a dynamic wearable assistive device. However, there are currently no guidelines that can be applied to assist a clinician with objective screening. Some screening criteria have been developed to try and match patients to devices, with a focus on safety.10,11,86,94,153157

Screening must be sensitive to the characteristics of the individual and consistent with factors in Table 38-2. After identifying the parameters of performance and the potential benefits of assistive wearable technology, the patient, the family, the therapist, and sometimes the orthotist should determine what assistive robotic devices or advanced technological equipment are available to meet the patient’s needs. The team also has to assess where the devices are located, whether they are accessible, whether the device should be rented or purchased, and whether the insurance company will help pay for the rental or purchase of the device.

Ideally patients will use a wearable robotic assistive device to try to drive neural adaptation to recover function. Thus some patients may “train out” of the robotic device as they recover more function. Obviously, it would be better for these patients to rent rather than purchase the orthotic. Other patients would benefit from purchasing the assistive device because the robotic device improves function and independence despite ongoing impairments. Long-term use is also common when a patient has a degenerative condition, when the impairments are likely to get worse rather than better, and when with assistance independence can be prolonged.

In addition to the general and specific screening criteria, it is important to note that some assistive robotic devices may target control of one specific joint. However, given the biomechanical links, flexibility and sensory and motor characteristics must be assessed at each major joint above and below the primary assisted joint. For example, the Tibion Bionic Leg (see Figure 38-8, A) focuses on assisting the knee, but the patient’s hip and ankle also should be assessed. The less affected side also needs to be evaluated. To maximize the benefit of a wearable assistive device, patients should ideally have some ability to voluntarily initiate movement and a grade of poor or greater strength to be able to assist in the movement.

Wearable robotics must be programmed to assist patient function but also to stop to avoid harm. This requires a balance between the dynamic nature of the wearable assistive device and a patient’s weakness, lack of voluntary motor control, and the presence of involuntary muscle activity including hypertonicity (e.g., spasticity, dystonia, rigidity, tremor) (Box 38-14). For example, how much force would the assistive device need to provide to overcome involuntary tone? Other relevant questions must then be asked: If a robotic device is programmed to assist with flexion and the patient initiates movement into extension or abduction, will the robot have to stop assisting the limb to prevent harm? If the robot stops assisting, is there a negative effect caused by the mismatch of force between the patient and the robot? Does the patient need consistent assistance or variable assistance? How will the therapist, the robot, or the patient determine how much assistance is needed? In one case a patient may need unweighting of only a limb, and in another case both unweighting and assistance may be needed. In theory, the amount of assistance needed should decrease with recovery of function. Thus it is helpful if the wearable assistive device can easily be adjusted by the therapist or the patient.

Despite the advancements in rehabilitation robotics, some patients will still have difficulty wearing an assistive orthotic. For example, wearable assistive orthotic devices may not work well for patients with severe sensory impairments, severe balance problems, a fear of falling, or inadequate assets to control the device or for elderly patients who are afraid of computerized technology (see Box 38-15). Sophisticated rehabilitation robotic devices may also not be recommended for patients who are disoriented, who have severe pain or neural hypersensitivity, or who cannot don the apparatus independently (Box 38-16).

It may be appropriate and helpful for patients with severe sensory and motor impairments to train using VR technology with or without assistive technology. Patients may begin with mental imagery and practice before engaging in physical practice, without and then with the integration of wearable robotic devices. It is also possible to begin the training with the assistive technology while in a harness system to protect from falling. In addition, depending on the severity of balance and voluntary abilities, it may be necessary for patients to train with technology under careful direct supervision. In cases in which balance and motor control are good but can be improved, it may be possible for patients to train at home with wireless telemetry-type supervision.

If the patient does not meet the cognitive screening criteria for using either physical or cognitive sensors to control a wearable robotic, then a more sophisticated psychocognitive screening may be necessary. In these cases, biomagnetic imaging may be appropriate to determine if the individual could benefit from a wearable exoskeleton that has been mapped directly to the brain. Brain-mapped wearable robotic exoskeletons are available for patients with severe motor impairments. This brain-mapped wearable robotic allows the individual to use specific brain signals to help the individual achieve control of the limbs and the trunk to complete tasks. These brain-mapped wearable exoskeletons are still in the developmental stage. Most are not yet available on the commercial market.