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Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities

Author

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  • T. Bradley Willingham

    (Shepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA 30309, USA
    Department of Physical Therapy, Georgia State University, Atlanta, GA 30302, USA)

  • Julie Stowell

    (Shepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA 30309, USA
    Department of Physical Therapy, Georgia State University, Atlanta, GA 30302, USA)

  • George Collier

    (Shepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA 30309, USA)

  • Deborah Backus

    (Shepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA 30309, USA)

Abstract

Physical rehabilitation and exercise training have emerged as promising solutions for improving health, restoring function, and preserving quality of life in populations that face disparate health challenges related to disability. Despite the immense potential for rehabilitation and exercise to help people with disabilities live longer, healthier, and more independent lives, people with disabilities can experience physical, psychosocial, environmental, and economic barriers that limit their ability to participate in rehabilitation, exercise, and other physical activities. Together, these barriers contribute to health inequities in people with disabilities, by disproportionately limiting their ability to participate in health-promoting physical activities, relative to people without disabilities. Therefore, there is great need for research and innovation focusing on the development of strategies to expand accessibility and promote participation in rehabilitation and exercise programs for people with disabilities. Here, we discuss how cutting-edge technologies related to telecommunications, wearables, virtual and augmented reality, artificial intelligence, and cloud computing are providing new opportunities to improve accessibility in rehabilitation and exercise for people with disabilities. In addition, we highlight new frontiers in digital health technology and emerging lines of scientific research that will shape the future of precision care strategies for people with disabilities.

Suggested Citation

  • T. Bradley Willingham & Julie Stowell & George Collier & Deborah Backus, 2024. "Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities," IJERPH, MDPI, vol. 21(1), pages 1-28, January.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:1:p:79-:d:1316699
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    References listed on IDEAS

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    1. Valter Santilli & Massimiliano Mangone & Anxhelo Diko & Federica Alviti & Andrea Bernetti & Francesco Agostini & Laura Palagi & Marila Servidio & Marco Paoloni & Michela Goffredo & Francesco Infarinat, 2023. "The Use of Machine Learning for Inferencing the Effectiveness of a Rehabilitation Program for Orthopedic and Neurological Patients," IJERPH, MDPI, vol. 20(8), pages 1-16, April.
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    5. Shahnawaz Anwer & Heng Li & Maxwell Fordjour Antwi-Afari & Waleed Umer & Arnold Y. L. Wong, 2020. "Cardiorespiratory and Thermoregulatory Parameters Are Good Surrogates for Measuring Physical Fatigue during a Simulated Construction Task," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
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    Cited by:

    1. Gregor Wolbring & Rochelle Deloria, 2024. "Health Equity and Health Inequity of Disabled People: A Scoping Review," Sustainability, MDPI, vol. 16(16), pages 1-51, August.

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