Literature DB >> 20394934

Identification of ankle sprain motion from common sporting activities by dorsal foot kinematics data.

Yue-Yan Chan1, Daniel Tik-Pui Fong, Mandy Man-Ling Chung, Wen-Jung Li, Wei-Hsin Liao, Patrick Shu-Hang Yung, Kai-Ming Chan.   

Abstract

This study presented a method to identify ankle sprain motion from common sporting activities by dorsal foot kinematics data. Six male subjects performed 300 simulated supination sprain trials and 300 non-sprain trials in a laboratory. Eight motion sensors were attached to the right dorsal foot to collect three-dimensional linear acceleration and angular velocity kinematics data, which were used to train up a support vector machine (SVM) model for the identification purpose. Results suggested that the best identification method required only one motion sensor located at the medial calcaneus, and the method was verified on another group of six subjects performing 300 simulated supination sprain trials and 300 non-sprain trials. The accuracy of this method was 91.3%, and the method could help developing a mobile motion sensor system for ankle sprain detection. 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20394934     DOI: 10.1016/j.jbiomech.2010.03.014

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  2 in total

Review 1.  The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review.

Authors:  Ezio Preatoni; Elena Bergamini; Silvia Fantozzi; Lucie I Giraud; Amaranta S Orejel Bustos; Giuseppe Vannozzi; Valentina Camomilla
Journal:  Sensors (Basel)       Date:  2022-04-22       Impact factor: 3.847

Review 2.  The use of wearable inertial motion sensors in human lower limb biomechanics studies: a systematic review.

Authors:  Daniel Tik-Pui Fong; Yue-Yan Chan
Journal:  Sensors (Basel)       Date:  2010-12-16       Impact factor: 3.576

  2 in total

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