Wearable Sensor Technology in Gait Analysis and Medical Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 460
Special Issue Editors
Interests: diabetic foot; peripheral diabetic neuropathy; wearable sensor; gait analysis
Special Issues, Collections and Topics in MDPI journals
Interests: sports injuries; physical rehabilitation; exercise science; posture; movement analysis; gait analysis; postural balance
Special Issues, Collections and Topics in MDPI journals
Interests: biomechanics; dynamic loading; modelling of cell motility; gait analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Gait analysis using wearable sensors is expected to play an increasingly important role in various clinical fields, as this technology provides a cheap and accessible means to efficiently collect large amounts of human gait data in an unconstrained environment compared to motion capture systems, electromyography, or other systems requiring costly equipment and trained engineers only available in movement analysis research laboratories. Over the last decade, several reports have pinpointed the importance of the early detection of patients with gait impairments and at risk of falling. In particular, a gait speed lower than 0.8 m/s is a reliable cut-off for identifying subjects at increased risk of disability, as well as a stride length of 0.64 m, accurately predicting major adverse events such as physical disability, falls, institutionalization, and mortality. This Special Issue aims to present current findings and perspectives on the effectiveness of wearable sensor-based gait assessments, enhancing our knowledge of them as simple screenings to predict major adverse outcomes, highlighting the importance of gait impairments.
Dr. Lorenzo Brognara
Prof. Dr. René Schwesig
Prof. Dr. Arkady Voloshin
Guest Editors
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Keywords
- gait
- wearable sensor
- accelerometry
- inertial sensor
- wearable device
- fall risk
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