Technologies in Home-Based Digital Rehabilitation: Scoping Review

202392 citationsJournal Articlegold Open Access

Authors

A.R. Arntz · University of Cologne

F. Parkes Weber · University Medical Center Utrecht

Marietta Handgraaf · Bochum University of Applied Sciences

Kaisa Lällä · JAMK University of Applied Sciences

Katariina Korniloff · JAMK University of Applied Sciences

Kari-Pekka Murtonen · JAMK University of Applied Sciences

Julija Chichaeva

Abstract

Multiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients' needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic.

Topics & Keywords

Telemedicine and Telehealth Implementation Assistive Technology in Communication and Mobility Stroke Rehabilitation and Recovery

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: JMIR Rehabilitation and Assistive Technologies

Volume 10, pp. e43615-e43615

DOI: 10.2196/43615

Field-Weighted Citation Impact: 26.55