Enhancing Telerehabilitation Using Wearable Sensors and AI-Based Machine Learning Methods

Sebastián Jaramillo-Isaza, Alberto López Delis, Edith Pulido Herrera, Andrès Felipe Ruiz-Olaya

Research output: Chapter in Book/ReportChapter

Abstract

Telerehabilitation, which focuses on providing rehabilitation services through information and communication technologies (ICTs), faces barriers and challenges that may limit its effectiveness. Delivering remote rehabilitation services using telephone or video calls may be insufficient for assessing patient progress. However, with the advent of emerging technologies such as artificial intelligence (AI), wearable sensors, IoT medical devices, m-health, smartphone apps, and machine learning methods, new health systems could be envisioned to enhance the delivery of telerehabilitation. These technologies have the potential to improve health and the patient’s quality of life. Additionally, novel methods for engaging patients in therapy, such as computer and virtual reality games, are being developed to converge interactive physical and cognitive challenges aimed at enhancing rehabilitation processes. This chapter provides an overview of the barriers, challenges, and facilitators of telerehabilitation and identifies promising uses of AI to enhance the delivery of telerehabilitation. It also discusses emerging technologies, including wearable sensors, IoT and sensor-based, and video applications as tools for providing relevant data in the rehabilitation process.

Original languageEnglish (US)
Title of host publicationComputational Approaches in Bioengineering
Subtitle of host publicationVolume 2: Computational Approaches in Biomaterials and Biomedical Engineering Applications
PublisherCRC Press
Pages266-298
Number of pages33
Volume2
ISBN (Electronic)9781040008812
ISBN (Print)9781032635255
DOIs
StatePublished - Jan 1 2024
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Engineering
  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences
  • General Environmental Science
  • General Computer Science

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