Biomarkers of Disability and Movement Disorders: Insights from Wearable Devices
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Wearable Biosensors".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 1117
Special Issue Editor
Interests: human movement; biomechanics; postural control; rehabilitation sciences
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The identification of disability and movement disorder risk factors is essential for implementing preventive interventions and improving a person’s quality of life. Wearable technology has emerged as a promising tool for monitoring functional decline and disorder-related movement alterations through continuous, real-world data collection. By leveraging accelerometers, gyroscopes, and other biosensors, these devices provide objective and real-time assessments, surpassing traditional self-reported measures. Moreover, there is an increasing need to establish which parameters should be monitored in different target populations, such as older adults, stroke survivors, or patients with chronic musculoskeletal diseases.
This Special Issue explores the potential of wearable devices that detect biomarkers of disability and movement disorders, such as changes in movement patterns, posture, and physical activity levels. This collection aims to present work that will enable advancements in wearable technology, the application of wearable technology in healthcare, and future efforts to improve the early detection of disability and movement disorders. By bridging the gap between technology and healthcare, wearable devices hold significant potential for promoting independent living among adults with conditions affecting their fundamental movement skills. We invite authors to contribute research articles and review papers to this Special Issue, providing them with an opportunity to showcase their work, share valuable insights, and highlight recent advancements in the field of biosensors. These contributions will help foster knowledge exchange and drive innovation within the biosensor research community.
Prof. Dr. Andreia S. P. Sousa
Guest Editor
Manuscript Submission Information
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Keywords
- wearable biosensors
- prediction
- disability
- movement disorders
- rehabilitation
- biomechanics
- environmental detection
- biomarkers
- real-time monitoring
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