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Updated: Jul 28, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Technologies in Home-Based Digital Rehabilitation: Scoping Review.

Angela Arntz^1,2, Franziska Weber^1,3, Marietta Handgraaf¹

¹Division of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany.

JMIR Rehabilitation and Assistive Technologies

|May 30, 2023

Summary

This summary is machine-generated.

Digital rehabilitation (DR) offers solutions for home-based care, with AI and machine learning poised to transform the field. While the pandemic increased remote DR use, it didn't spur new technology development.

Keywords:

AI COVID-19 pandemic artificial intelligence digital health intervention digital rehabilitation digital technologies home-based rehabilitation machine learning mobile app mobile phone remote health scoping review

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Area of Science:

Rehabilitation Medicine
Health Informatics
Digital Health Technologies

Background:

Growing pressure on healthcare systems necessitates a shift towards home-based rehabilitation.
Existing support for home-based rehabilitation is insufficient, a challenge amplified by the COVID-19 pandemic.
Digital rehabilitation (DR) presents a potential solution to enhance home-based care and address system pressures.

Purpose of the Study:

To identify current digital technologies for home-based DR.
To predict emerging trends in DR.
To analyze the impact of the COVID-19 pandemic on DR.

Main Methods:

A scoping review following the Arksey and O'Malley framework, enhanced by Levac et al.
Extensive literature search across major databases (PubMed, Embase, CINAHL, PsycINFO, Cochrane Library) from January 2015 to January 2022.
Bibliometric, co-occurrence, full-text, and gray literature analyses were employed.

Main Results:

Sensors, robotics, gamification, VR/AR, and mobile apps are current home-based DR tools.
Artificial intelligence (AI), machine learning (ML), exoskeletons, and mobile apps are emerging trends.
The COVID-19 pandemic accelerated the adoption of remote DR but did not drive the creation of novel technologies.

Conclusions:

While various DR tools exist, limitations in home-based application persist.
AI and ML hold significant potential to reshape rehabilitation and address future healthcare challenges.
Effective implementation of DR requires feasible, client-centered approaches adaptable to diverse circumstances, including pandemics.