Phyx.io: Expert-Based Decision Making for the Selection of At-Home Rehabilitation Solutions for Active and Healthy Aging

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Phyx.io: Expert-Based Decision Making for the Selection of At-Home Rehabilitation Solutions for Active and Healthy Aging

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

javier.dorado@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

       felix.villanueva@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

mariajose.santofimia@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

xavier.deltoro@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

ruben.cantarero@uclm.es

University of Castilla-La Mancha, Ciudad Real, Spain

cristina.bolanos@uclm.es

University of Castilla-La Mancha, Ciudad Real, Spain

henry.llumiguano@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

felix.villanueva@uclm.es

Center for Health Technology and Services Research (CINTESIS), Superior School of Health Sciences of the University of Aveiro, Portugal

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

juancarlos.lopez@uclm.es

  • JOURNAL — International Journal of Environmental Research and Public Health

  • ISSN 1660-4601

  • VOLUME 19

  • PUBLISHER MDPI

  • YEAR  2022

Dorado Chaparro, J.; Fernández-Bermejo Ruiz, J.; Santofimia Romero, M.J.; del Toro García, X.; Cantarero Navarro, R.; Bolaños Peño, C.; Llumiguano Solano, H.; Villanueva Molina, F.J.; Gonçalves Silva, A.; López, J.C. Phyx.io: Expert-Based Decision Making for the Selection of At-Home Rehabilitation Solutions for Active and Healthy Aging. Int. J. Environ. Res. Public Health 202219, 5490. https://doi.org/10.3390/ijerph19095490

@article{Dorado,
title = "Phyx.io: Expert-Based Decision Making for the Selection of At-Home Rehabilitation Solutions for Active and Healthy Aging",
journal = "International Journal of Environmental Research and Public Health",
volume = "19",
number = "9",
year = "2022",
issn = "1660-4601",
doi = "https://doi.org/10.1016/j.eswa.2016.09.038",
url = "http://www.sciencedirect.com/science/article/pii/S095741741630522X",
author = "Dorado Chaparro, Javier and Fernández-Bermejo Ruiz, Jesús and Santofimia Romero, María José and del Toro García, Xavier and Cantarero Navarro, Rubén and Bolaños Peño, Cristina and Llumiguano Solano, Henry and Villanueva Molina, Félix Jesús and Gonçalves Silva, Anabela and López, Juan Carlos",
keywords = " healthy and active ageingvideo-based systemat-home rehabilitation"
}

Abstract

While the importance of physical activity in older adults is beyond doubt, there are significant barriers limiting the access of older adults to physical exercise. Existing technologies to support physical activity in older adults show that, despite their positive impacts on health and well-being, there is in general a lack of engagement due to the existing reluctance to the use of technology. Usefulness and usability are two major factors for user acceptance along with others, such as cost, privacy, equipment and maintenance requirements, support, etc. Nevertheless, the extent to which each factor impacts user acceptance remains unclear. Furthermore, other stakeholders, besides the end users, should be considered in the decision-making process to develop such technologies, including caregivers, therapists and technology providers. In this paper, and in the context of physical rehabilitation and exercise at home, four different alternatives with incremental characteristics have been defined and considered: a software-based platform for physical rehabilitation and exercise (Alternative 1), the same software platform with a conventional RGB camera and no exercise supervision (Alternative 2), the same software platform with a convention RGB camera and exercise supervision (Alternative 3) and finally, the same software platform with a depth camera and exercise supervision (Alternative 4). A multiple attribute decision-making methodology, based on the ordinal priority approach (OPA) method, is then applied using a group of experts, including end users, therapists and developers to rank the best alternative. The attributes considered in this method have been usefulness, cost, ease of use, ease of technical development, ease of maintenance and privacy, concluding that Alternative 3 has been ranked as the most appropriate.

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2022-10-13T16:51:48+00:00