IoT-Based Wearable Sensors and Health and Performance Monitoring in the Home and Hospital-Based Rehabilitation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 543
Special Issue Editors
Interests: biomedical instrumentation; biosignal sensors and electrodes; wearable devices; smart and connected health; Internet of Things; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital health technologies , such as smartwatches, smartphones, and smart biometric sensors that are worn on the body, and machine and deep learning-based data analytics have become widely accepted in home- and hospital-based rehabilitation programs for health and performance monitoring during therapeutic exercises. By taking advantage of these advanced digital health technologies, recent efforts have been made to create various self-monitoring applications and ensure adherence to home-/remote/hospital-based rehabilitation programs and personalized and patient-centered therapeutic exercise protocols.
Therefore, this Special Issue aims to put together original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of rehabilitation engineering research.
The potential topics include, but are not limited to:
- Internet of Things (IoT)-based health monitoring;
- Wearable sensors for electrophysiological and motor monitoring;
- Home and hospital-based rehabilitation settings;
- Remote and mobile rehabilitation;
- Aquatic therapy and rehabilitation;
- Digital health technology;
- Technology for adherence to and effectiveness of home/remote/hospital therapeutic exercise;
- User-/patient-centered rehabilitation programs and protocols;
- Computer-assisted rehabilitation tools;
- Exoskeleton;
- Posture and balance.
Dr. Yeon Sik Noh
Dr. Sungjae Hwang
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- wearable devices
- smart health diagnostics
- digital health
- flexible sensors
- sensory motor system
- machine and deep learning
- signal processing
- computer-assisted rehabilitation
- exoskeleton
- exercise science
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Digital health technologies , such as smartwatches, smartphones, and smart biometric sensors that are worn on the body, and machine and deep learning-based data analytics have become widely accepted in home- and hospital-based rehabilitation programs for health and performance monitoring during therapeutic exercises. By taking advantage of these advanced digital health technologies, recent efforts have been made to create various self-monitoring applications and ensure adherence to home-/remote/hospital-based rehabilitation programs and personalized and patient-centered therapeutic exercise protocols.
Therefore, this Special Issue aims to put together original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of rehabilitation engineering research.
