Diabetic Foot and Fall Prevention Based on Sensors Technology
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (25 June 2024) | Viewed by 434
Special Issue Editor
Interests: biomechanics; frailty; diabetic foot; fall prevention; gait; posture; wearable sensors; motion analysis; computational modeling; finite element analysis; physical activity; physiological monitoring
Special Issue Information
Dear Colleagues,
Falls in people with diabetes are a major problem, with feelings of unsteadiness, associated psychosocial effects and direct physical consequences having a high prevalence among diabetic patients. Sensory and motor neuropathy affecting the foot and lower limb are major contributory factors to gait impairments, subsequent unsteadiness and increased fall risk.
The widespread uptake and acceptance of technology represent an opportunity to address this rising challenge. In particular, thanks to advances in wearables and digital health technologies, this is an opportunity to empower patients and/or their caregivers to be engaged as a part of the healthcare ecosystem.
This Special Issue will present recent research findings on the development and application of sensor technologies in measurements of human biomechanical and physiological parameters associated with diabetic foot prevention. In particular, this Special Issue will report on various approaches including the application of biomechanical sensors (i.e., IMU, video analysis, plantar pressure, electromyography, and force sensors) in disease assessment, functional diagnosis, treatment, and rehabilitation, along with novel applications of the continuous monitoring of both functional and physiological parameters in diabetic foot patients.
Dr. Gu Eon Kang
Guest Editor
Manuscript Submission Information
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Keywords
- diabetic foot
- fall prevention
- motion analysis
- biomechanical sensors
- wearable sensors
