Identification of ankle sprain motion from common sporting activities by dorsal foot kinematics data |
| |
Authors: | Yue-Yan Chan Daniel Tik-Pui Fong Mandy Man-Ling Chung Wen-Jung Li Wei-Hsin Liao Patrick Shu-Hang Yung Kai-Ming Chan |
| |
Institution: | 1. Department of Rehabilitation Sciences and Physiotherapy, Ghent University, De Pintelaan 185, Ghent 9000, Belgium;2. Department of Physiotherapy and Orthopedics, Ghent University, De Pintelaan 185, Ghent 9000, Belgium;3. Faculty of Science, School of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK |
| |
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. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|