How a Diverse Research Ecosystem Has Generated New Rehabilitation Technologies: Review of NIDILRR’s Rehabilitation Engineering Research Centers

Over 50 million United States citizens (1 in 6 people in the US) have a developmental, acquired, or degenerative disability. The average US citizen can expect to live 20% of his or her life with a disability. Rehabilitation technologies play a major role in improving the quality of life for people with a disability, yet widespread and highly challenging needs remain. Within the US, a major effort aimed at the creation and evaluation of rehabilitation technology has been the Rehabilitation Engineering Research Centers (RERCs) sponsored by the National Institute on Disability, Independent Living, and Rehabilitation Research. As envisioned at their conception by a panel of the National Academy of Science in 1970, these centers were intended to take a “total approach to rehabilitation”, combining medicine, engineering, and related science, to improve the quality of life of individuals with a disability. Here, we review the scope, achievements, and ongoing projects of an unbiased sample of 19 currently active or recently terminated RERCs. Specifically, for each center, we briefly explain the needs it targets, summarize key historical advances, identify emerging innovations, and consider future directions. Our assessment from this review is that the RERC program indeed involves a multidisciplinary approach, with 36 professional fields involved, although 70% of research and development staff are in engineering fields, 23% in clinical fields, and only 7% in basic science fields; significantly, 11% of the professional staff have a disability related to their research. We observe that the RERC program has substantially diversified the scope of its work since the 1970’s, addressing more types of disabilities using more technologies, and, in particular, often now focusing on information technologies. RERC work also now often views users as integrated into an interdependent society through technologies that both people with and without disabilities co-use (such as the internet, wireless communication, and architecture). In addition, RERC research has evolved to view users as able at improving outcomes through learning, exercise, and plasticity (rather than being static), which can be optimally timed. We provide examples of rehabilitation technology innovation produced by the RERCs that illustrate this increasingly diversifying scope and evolving perspective. We conclude by discussing growth opportunities and possible future directions of the RERC program

Assessment and training in home-baesd telerehabilitation ofr arm mobility impairment

The aging population and limited healthcare capacities call for a change in how rehabilitation care is provided. There is a need to provide more autonomous and scalable care that can be more easily transferred out of the clinic and into home environments. One important barrier to this objective is achieving reliable assessment of motor performance using low-cost technology. Toward this end, an assessment framework and methodology is proposed. The framework uses 4 sequential games to measure aspects of range of motion, range of force, control of motion, and control of force. Parameters derived from the range of motion task are used to define motion requirements in all subsequent assessment games, while parameters derived from the range of force task are used to define subsequent lifting force requirements. A 12-week usability study was conducted in which 9 patients completed the clinical testing phase and 6 therapists and 7 patients completed the questionnaire. Feedback from the questionnaire shows the system is easy to use and integrates well in the clinical setting. The most commonly requested modifications were the inclusion of more games and the incorporation of hand training. Some initial position and force data are shown for one subject and discussion on implications for mobility assessment using the developed device are provided.Peer Reviewe

Assessment and training in home-based telerehabilitation of arm mobility impairment

In an era where rehabilitation services are diminishing under the weight of the growing demands and fewer therapists, home-based telerehabilitation offers a way of increasing duration and intensity of post-stroke training. Novel systems that guide the therapist and patient in planning, executing, and assessing the training can reduce the burden on the healthcare system while maintaining or improving the quality of care. To achieve this effectively, a unified approach is needed that can address the diverse needs of the users and adequately assess the level of mobility deficits remotely. This document presents a methodology and prototype system for assessment and training adaptation within a telerehabilitation framework targeting home-based rehabilitation of the upper limbs after stroke. The framework uses 4 games for assessment of motor performance based on measures of range and control of movement. Assessment games include range of motion, range of force, control of motion, and control of force. The initial assessment games are used to tune the deficit-specific parameters in each successive game for assessment and training. Games are administered over the web-based TeleREHA platform through a novel arm rehabilitation device called the ArmAssist. An overview of the developments in each project is presented including the basic assessment parameters and a methodology for making patient-specific adaptation to game levels. Preliminary feedback from an ongoing usability evaluation is also presented and discussed

A usability study in patients with stroke using MERLIN, a robotic system based on serious games for upper limb rehabilitation in the home setting

Neuroscience and neurotechnology are transforming stroke rehabilitation. Robotic devices, in addition to telerehabilitation, are increasingly being used to train the upper limbs after stroke, and their use at home allows us to extend institutional rehabilitation by increasing and prolonging therapy. The aim of this study is to assess the usability of the MERLIN robotic system based on serious games for upper limb rehabilitation in people with stroke in the home environment.This research is part of a MERLIN project, which has received funding from EIT Health (Grant no. 20649). EIT Health is supported by the European Institute of Innovation and Technology (EIT), a body of the European Union which receives support from the European Union’s Horizon 2020 Research and innovation programme

HoMEcare aRm rehabiLItatioN (MERLIN): telerehabilitation using an unactuated device based on serious games improves the upper limb function in chronic stroke

HoMEcare aRm rehabiLItatioN (MERLIN) is an unactuated version of the robotic device ArmAssist combined with a telecare platform. Stroke patients are able to train the upper limb function using serious games at home. The aim of this study is to investigate the effect of MERLIN training on the upper limb function of patients with unilateral upper limb paresis in the chronic phase of stroke (> 6 months post stroke). Patients trained task specific serious games for three hours per week during six weeks using an unactuated version of a robotic device. Progress was monitored and game settings were tailored through telerehabilitation. Measurements were performed six weeks pre-intervention (T0), at the start (T1), end (T2) and six weeks post-intervention (T3). Primary outcome was the Wolf Motor Function Test (WMFT). Secondary outcomes were other arm function tests, quality of life, user satisfaction and motivation.This research is part of MERLIN project (19094 and 20649) that has received funding from EIT Health. EIT Health is supported by the European Institute of Innovation and Technology (EIT), a body of the European Union receives support from the European Union´s Horizon 2020 Research and innovation program

A mobile application based on machine learning and music therapy principles for post-stroke upper-limb motor recovery

A stroke is a medical condition caused by a disruption in blood flow to the brain. This can lead to difficulties with everyday activities and movement. Music therapy is a promising new alternative to traditional rehabilitation methods. This therapy uses sound’s natural properties to enhance stroke recovery, improve motor skills and stimulate neural plasticity. This approach motivates people on both a physical and emotional level. Software tools developed to date to aid in motor recovery after stroke rely mainly on external mechanisms and specific hardware components. This limitation restricts the potential scope of these tools. This study aims to examine the effectiveness and mechanisms of using a mobile application with machine learning algorithms and music therapy principles as a complementary intervention for post-stroke motor recovery. This research project has resulted in the development of a mobile app, based on the widely used Fugl Meyer Assessment. The application uses Vision Framework from Apple and a custom Activity Classification CoreML machine learning model to detect an individual's position in a seated posture. It has also been integrated with XCode. The application generates an audio cue when a user successfully completes one of the Fugl-Meyer Assessment activities. To train the model, 340 clips of a variety of exercises have been created. The research sheds light on how this technology can be used to transform neurorehabilitation while also helping to develop accessible and convenient tools that promote stroke motor recovery

A virtual reality-based cognitive telerehabilitation system for use in the covid-19 pandemic

The COVID-19 pandemic has changed people’s lives and the way in which certain services are provided. Such changes are not uncommon in healthcare services and they will have to adapt to the new situation by increasing the number of services remotely offered. Limited mobility has resulted in interruption of treatments that traditionally have been administered through face-to-face modalities, especially those related to cognitive impairments. In this telerehabilitation approach, both the patient and the specialist physician enter a virtual reality (VR) environment where they can interact in real time through avatars. A spaced retrieval (SR) task is implemented in the system to analyze cognitive performance. An experimental group (n = 20) performed the SR task in telerehabilitation mode, whereas a control group (n = 20) performed the SR task through a traditional face-to-face mode. The obtained results showed that it is possible to carry out cognitive rehabilitation processes through a telerehabilitation modality in conjunction with VR. The costeffectiveness of the system will also contribute to making healthcare systems more efficient, overcoming both geographical and temporal limitations

What is Important in E-health Interventions for Stroke Rehabilitation? A Survey Study among Patients, Informal Caregivers, and Health Professionals.

Incorporating user requirements in the design of e-rehabilitation interventions facilitates their implementation. However, insight into requirements for e-rehabilitation after stroke is lacking. This study investigated which user requirements for stroke e-rehabilitation are important to stroke patients, informal caregivers, and health professionals. The methodology consisted of a survey study amongst stroke patients, informal caregivers, and health professionals (physicians, physical therapists and occupational therapists). The survey consisted of statements about requirements regarding accessibility, usability and content of a comprehensive stroke e-health intervention (4-point Likert scale, 1=unimportant/4=important). The mean with standard deviation was the metric used to determine the importance of requirements. Patients (N=125), informal caregivers (N=43), and health professionals (N=105) completed the survey. The mean score of user requirements regarding accessibility, usability and content for stroke e-rehabilitation was 3.1 for patients, 3.4 for informal caregivers and 3.4 for health professionals.  Data showed that a large number of user requirements are important and should be incorporated into the design of stroke e-rehabilitation to facilitate their implementation.

Potential of a suite of robot/computer-assisted motivating systems for personalized, home-based, stroke rehabilitation

BACKGROUND: There is a need to improve semi-autonomous stroke therapy in home environments often characterized by low supervision of clinical experts and low extrinsic motivation. Our distributed device approach to this problem consists of an integrated suite of low-cost robotic/computer-assistive technologies driven by a novel universal access software framework called UniTherapy. Our design strategy for personalizing the therapy, providing extrinsic motivation and outcome assessment is presented and evaluated. METHODS: Three studies were conducted to evaluate the potential of the suite. A conventional force-reflecting joystick, a modified joystick therapy platform (TheraJoy), and a steering wheel platform (TheraDrive) were tested separately with the UniTherapy software. Stroke subjects with hemiparesis and able-bodied subjects completed tracking activities with the devices in different positions. We quantify motor performance across subject groups and across device platforms and muscle activation across devices at two positions in the arm workspace. RESULTS: Trends in the assessment metrics were consistent across devices with able-bodied and high functioning strokes subjects being significantly more accurate and quicker in their motor performance than low functioning subjects. Muscle activation patterns were different for shoulder and elbow across different devices and locations. CONCLUSION: The Robot/CAMR suite has potential for stroke rehabilitation. By manipulating hardware and software variables, we can create personalized therapy environments that engage patients, address their therapy need, and track their progress. A larger longitudinal study is still needed to evaluate these systems in under-supervised environments such as the home

The role of engagement in teleneurorehabilitation: A systematic review

The growing understanding of the importance of involving patients with neurological diseases in their healthcare routine either for at-home management of their chronic conditions or after the hospitalization period has opened the research for new rehabilitation strategies to enhance patient engagement in neurorehabilitation. In addition, the use of new digital technologies in the neurorehabilitation \ufb01eld enables the implementation of telerehabilitation systems such as virtual reality interventions, video games, web-based interventions, mobile applications, web-based or telephonic telecoach programs, in order to facilitate the relationship between clinicians and patients, and to motivate and activate patients to continue with the rehabilitation process at home. Here we present a systematic review that aims at reviewing the effectiveness of different engagement strategies and the different engagement assessments while using telerehabilitation systems in patients with neurological disorders. We used PICO\u2019s format to de\ufb01ne the question of the review, and the systematic review protocol was designed following the Preferred Reported Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Bibliographical data was collected by using the following bibliographic databases: PubMed, EMBASE, Scopus, and Web of Science. Eighteen studies were included in this systematic review for full-text analyses. Overall, the reviewed studies using engagement strategies through telerehabilitation systems in patients with neurological disorders were mainly focused on patient self-management and self-awareness, patient motivation, and patient adherence subcomponents of engagement, that are involved in by the behavioral, cognitive, and emotional dimensions of engagement. Conclusion: The studies commented throughout this systematic review pave the way for the design of new telerehabilitation protocols, not only focusing on measuring quantitative or qualitative measures but measuring both of them through a mixed model intervention design (1). The future clinical studies with a mixed model design will provide more abundant data regarding the role of engagement in telerehabilitation, leading to a possibly greater understanding of its underlying components