Advanced Wearable Sensors for Telehealth Monitoring: Movement Tracking and Analysis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 30 May 2026 | Viewed by 1048
Special Issue Editors
Interests: wearable technology; biosignal processing; physical therapy and rehabilitation
Special Issue Information
Dear Colleagues,
The integration of wearable sensors into telehealth platforms is transforming how clinicians monitor and assess human movement remotely. This approach increases accessibility for patients in remote or underserved areas and helps reduce the burden on busy hospitals. This Special Issue invites high-quality contributions on innovative sensor technologies, signal processing methods, and artificial intelligence (AI) applications that support telehealth monitoring.
We welcome studies exploring sensor fusion, edge computing, the Internet of Things (IoT) in gait and balance assessment, instrumentation of score-based clinical tests, and machine learning or deep learning approaches for prediction and classification in free living. Papers may cover novel algorithms, system development, validation studies, or case studies demonstrating the feasibility and impact of wearable telehealth solutions. We also encourage work evaluating these technologies in real-world settings to present their potential to enable personalised care and continuous monitoring outside traditional clinical environments.
Dr. Yunus Celik
Dr. Gill Barry
Guest Editors
Manuscript Submission Information
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Keywords
- wearable sensors
- telehealth monitoring
- movement analysis
- balance analysis
- turning analysis
- sleep assessment
- sensor fusion
- artificial intelligence
- edge computing
- IoT
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