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

System development guidelines from a review of motion-based technology for people with MCI or dementia

As the population ages and the number of people living with dementia or mild cognitive impairment (MCI) continues to increase, it is critical to identify creative and innovative ways to support and improve their quality of life. Motion-based technology has shown significant potential for people living with dementia or MCI by providing opportunities for cognitive stimulation, physical activity and participation in meaningful leisure activities, while simultaneously functioning as a useful tool for research and development of interventions. However, many of the current systems created using motion-based technology have not been designed specifically for people with dementia or MCI. Additionally, the usability and accessibility of these systems for these populations has not been thoroughly considered. This paper presents a set of system development guidelines derived from a review of the state of the art of motion-based technologies for people with dementia or MCI. These guidelines highlight three overarching domains of consideration for systems targeting people with dementia or MCI: (i) cognitive, (ii) physical, and (iii) social. We present the guidelines in terms of relevant design and use considerations within these domains and the emergent design themes within each domain. Our hope is that these guidelines will aid in designing motion-based software to meet the needs of people with dementia or MCI such that the potential of these technologies can be realized

Modeling a User-Oriented Ontology on Accessible Homes for Supporting Activities of Daily Living (ADL) in Healthy Aging

Inaccessibility of the buildings is the most common obstacle which presents barriers for older adults with different motor abilities. An inclusive design process, where elderly and designers work together, is required to overcome this obstacle. To do so, this study proposes a user-oriented model (i) to define a knowledge presentation for designers; (ii) to assist them during the development of accessible homes and (iii) to accommodate exemplary home attributes for activities of daily living (ADL). The ontology for this model was first constructed by collecting user information through LEGO® Serious Play® on the four subdomains of motor abilities: (1) strength; (2) balance; (3) locomotion; and (4) endurance. The findings of this study are significant for future aging studies and mobile computing researches in terms of indicating that diverse motor ability difficulties are associated with different requirements of accessibility attributes, and structured knowledge is required to diagrammatize their association with ADL

Collaborating to Create Elder Friendly Communities in New Hampshire: A Scan of the Current Landscape

The fact that the population of the United States is aging is no surprise; the demographic projections are well documented. There have never been as many older adults living as there are today, and this number will only increase. Northern New England is aging more rapidly than the rest of the country, with Vermont, Maine, and New Hampshire having the oldest populations in term of median age (U.S. Census, 2014). New Hampshire is expected to be the fastest aging state in New England through 2030, with nearly one-third of its population being over the age of 65 (Norton, 2011). This phenomenon is anticipated to place substantial pressure on publicly-funded health programs and long-term services and supports in the Granite State. But the story of the aging of the population is not only about increased numbers. As longevity increases, the average age of the older population will see a dramatic increase. The number of persons over the age of 85 in the United States is expected to increase five-fold by 2040. As the possibility for functional limitations and disability increases with age, the need for long-term, formal, and informal supports is expected to increase as the number of older adults, particularly those over the age of 85 increases. In addition, women continue to live longer than men; on average, life expectancy for women is three years longer than for men. These factors create a complex picture of aging, which includes a growing population of older adults, a majority of whom will be women; and a growing number of those over the age of 85, who are more likely to require some type of assistance as they age. It is a mistake to look at our aging population in a singular way. Although we tend to make generalizations about older adults, as a group, they are more physiologically and socially diverse than any other age group (Brummel-Smith & Mosqueda, 2003). As we age, we become more and more diverse, as there are no two people who have had the same life experiences, shaping who we are over our lifetimes. The baby boomers (those born between 1946 and 1964) are likely to be the most diverse cohort of older adults we have seen to date, and it is likely that they will redefine our conception of age and aging. Older adults bring a diverse set of skills, talents, and knowledge that should be tapped as a significant natural resource to support a new and exciting vision of aging

Exergames for motor rehabilitation in older adults: an umbrella review

Background: Exergames have been used as an innovative motor rehabilitation method with the main aim of improving motivation and exercise. As research interest in exergaming for rehabilitation is rapidly growing, a review of existing systematic reviews is important to synthesize the available evidence and provide recommendations. Objectives: In this article, we systematically synthesized the information from reviews that have examined the effects if exergames on different body movement parameters in older adults with and without specific pathologies. Method: Searches were conducted in Web of Science, Scopus, PsycARTICLES, PsycINFO, Psychology and Behavioural Sciences Collection, PubMed, SciELO, B-On and Google Scholar, articulating different terms and Boolean operators. Systematic reviews, meta-analysis and literature reviews published until May 2017 that investigated exergame interventions on physical outcomes, such as balance, gait, limb movements, muscle strength, in healthy and non-healthy older adults. Results: Based on prior reviews, exergaming, as a standalone intervention, has a positive effect on balance, gait, muscle strength, upper limb function, and dexterity. When compared to traditional physiotherapy, exergaming has at least similar effects on these outcomes. Many of the investigated studies indicated low methodological quality for the evaluation of the effects of exergames on different outcomes related to motor rehabilitation. Conclusions: Exergames could be used as a complement to traditional forms of motor rehabilitation, but future individual studies and reviews should follow more rigorous methodological standards in order to improve the quality of the evidence and provide guidelines for the use of exergames in motor rehabilitation.info:eu-repo/semantics/acceptedVersio

E-Health Interventions for Adult and Aging Population With Intellectual Disability: A Review

[EN]To answer the question about which e-health and e-therapy applications are being used with people with intellectual disabilities, we searched the PsycINFO, Medline, PubMed, ERIC, CINAHL, Scopus, Web of Science, and Cochrane databases. This is an extensive search. Inclusion criteria were academic journals and any design type that addressed the topic of interest. Studies that do not include adults or elderly, and studies that do not focus on people with disabilities but on third parties, were excluded. After an initial selection of 515 articles, 32 full-text articles were subjected to in-depth analysis leading to the final selection of 18 articles. We used the AAID framework definition of intellectual disability to analyze the dimensions explored by the selected studies and found that the majority of studies focused on the use of technology as supports to instrumental activities of daily life. The ISO classification of assistive products allowed us to identify that many e-health products are aimed at providing psychological or medical treatment. In summary, this review suggests that there is a very small number of studies focusing on the use of technology by older persons with intellectual disabilities. The studies present substantial limitations regarding generalization and replication and pay little attention to the maintenance of cognitive abilities in this population. These aspects, together with premature aging generally associated with many conditions that lead to intellectual disability, underscore the need to pay more attention to and develop e-health interventions for cognitive stimulation for this group

Accessibility of Health Data Representations for Older Adults: Challenges and Opportunities for Design

Health data of consumer off-the-shelf wearable devices is often conveyed to users through visual data representations and analyses. However, this is not always accessible to people with disabilities or older people due to low vision, cognitive impairments or literacy issues. Due to trade-offs between aesthetics predominance or information overload, real-time user feedback may not be conveyed easily from sensor devices through visual cues like graphs and texts. These difficulties may hinder critical data understanding. Additional auditory and tactile feedback can also provide immediate and accessible cues from these wearable devices, but it is necessary to understand existing data representation limitations initially. To avoid higher cognitive and visual overload, auditory and haptic cues can be designed to complement, replace or reinforce visual cues. In this paper, we outline the challenges in existing data representation and the necessary evidence to enhance the accessibility of health information from personal sensing devices used to monitor health parameters such as blood pressure, sleep, activity, heart rate and more. By creating innovative and inclusive user feedback, users will likely want to engage and interact with new devices and their own data