IEEE Journal of Biomedical and Health Informatics· 2016Q1· Review
Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review
- 438citations
- Q1SCImago
- 2016year
Short summary
Wearable inertial sensors offer a promising, low-cost alternative to expensive, specialized equipment for quantitative gait analysis, enabling continuous monitoring from clinics to daily life.
AI-generated from the title and abstract; the full text is not read.
Key points
- Traditional quantitative gait analysis tools are expensive and require expert operation, limiting their widespread clinical use.
- Wearable inertial sensors present a more accessible and cost-effective solution for gait analysis.
- Wearable sensors facilitate continuous gait monitoring, bridging the gap between clinical assessments and real-world patient activity.
- The review proposes key metrics for evaluating gait features extracted from wearable sensor data.
AI-generated from the title and abstract; the full text is not read.
Abstract
After decades of evolution, measuring instruments for quantitative gait analysis have become an important clinical tool for assessing pathologies manifested by gait abnormalities. However, such instruments tend to be expensive and require expert operation and maintenance besides their high cost, thus limiting them to only a small number of specialized centers. Consequently, gait analysis in most clinics today still relies on observation-based assessment. Recent advances in wearable sensors, especially inertial body sensors, have opened up a promising future for gait analysis. Not only can these sensors be more easily adopted in clinical diagnosis and treatment procedures than their current counterparts, but they can also monitor gait continuously outside clinics - hence providing seamless patient analysis from clinics to free-living environments. The purpose of this paper is to provide a systematic review of current techniques for quantitative gait analysis and to propose key metrics for evaluating both existing and emerging methods for qualifying the gait features extracted from wearable sensors. It aims to highlight key advances in this rapidly evolving research field and outline potential future directions for both research and clinical applications.
The authors' abstract, as published at the source. IEEE Journal of Biomedical and Health Informatics, 2016 · DOI ↗
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Field: Physical Therapy, Sports Therapy and Rehabilitation
Physical Therapy, Sports Therapy and RehabilitationHealth Professions