Objective gait assessment and quantified recurrence analysis using foot-worn wearable sensor for healthy individuals.

IF 1.7 4区 医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-11-30 DOI:10.1080/10255842.2024.2427113
Preeti Khera, Ratan Das, Neelesh Kumar, Dinesh Pankaj, Manjeet Singh, Sudip Paul, Gajendra Kumar Mourya
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引用次数: 0

Abstract

Wearable sensors allow mobility assessment required for better locomotion, neurological and musculoskeletal disorders, current limitations include unknown reliability and accuracy in real-life settings. This work determined the concurrent validity and repeatability of the proposed foot-worn gait evaluation system using objective gait features and recurrence quantification analysis from 52 participants. Its agreement with the commercially available OpenGo® system in the unrestricted outdoor environment is determined. Reported measures showed no significant differences (p > 0.05) between systems. Test-retest reliability showed that the mean of the second-third trial (T2-T3) is the most significant. Thus, an affordable system provides accurate measurement of gait ensuring its suitability even in small clinical-settings.

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来源期刊
CiteScore
4.10
自引率
6.20%
发文量
179
审稿时长
4-8 weeks
期刊介绍: The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.
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