Diagnostic value of a vision-based intelligent gait analyzer in screening for gait abnormalities.

Journal: Gait & posture
PMID: 34740057

Abstract

BACKGROUND: Early detection of gait abnormalities is critical for preventing severe injuries in future falls. The timed up and go (TUG) test is a commonly used clinical gait screening test; however, the interpretation of its results is limited to the TUG total time.

Authors

  • Yan-Min Tang
    Department of Neurology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China. Electronic address: 19111210003@fudan.edu.cn.
  • Yan-Hong Wang
    National Center for Natural Products Research, Research Institute of Pharmaceutical Sciences, School of Pharmacy, The University of Mississippi, University, MS, USA.
  • Xin-Yu Feng
    Institute of Brain-inspired Circuits and Systems, Fudan University, 825 Zhangheng Road, Shanghai 201203, China. Electronic address: 18212020013@fudan.edu.cn.
  • Qiao-Sha Zou
    Institute of Brain-inspired Circuits and Systems, Fudan University, 825 Zhangheng Road, Shanghai 201203, China. Electronic address: qiaoshazou@fudan.edu.cn.
  • Qing Wang
    School of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, China. qwang@163.com.
  • Jing Ding
    Zhejiang Pharmaceutical College, Ningbo, 15100.
  • Richard Chuan-Jin Shi
    Institute of Brain-inspired Circuits and Systems, Fudan University, 825 Zhangheng Road, Shanghai 201203, China; Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195-3770, USA. Electronic address: cjshi@uw.edu.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.

Keywords

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