Application of gait analysis for hemiplegic patients using six-axis wearable inertia sensors

Fang, Q, Zhang, Z and Tu, Y 2014, 'Application of gait analysis for hemiplegic patients using six-axis wearable inertia sensors', in Proceedings of the 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), Dallas, United States, 30 October - 1 November 2014, pp. 3993-3996.


Document type: Conference Paper
Collection: Conference Papers

Title Application of gait analysis for hemiplegic patients using six-axis wearable inertia sensors
Author(s) Fang, Q
Zhang, Z
Tu, Y
Year 2014
Conference name IECON 2014
Conference location Dallas, United States
Conference dates 30 October - 1 November 2014
Proceedings title Proceedings of the 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014)
Publisher IEEE
Place of publication New York, United States
Start page 3993
End page 3996
Total pages 4
Abstract Gait analysis is considered as an important process which has been wildly adopted in many clinical applications to identify and quantify the lower body functioning impairment of hémiplégie patients. On contrary to the traditional measures which were based on manual observation, numerous researches in recent years have been carried out on utilizing modern assistive devices to analyze gait pattern and produce objective results. In this paper, a novel hémiplégie gait analysis approach based on 6-axis inertial measurement is proposed. The patients' gait data are collected using a set of wearable wireless inertial sensor network and processed to extract gait parameters including step length, hip and knee joint angle. By comparing the sample features between healthy and hémiplégie participants, it is demonstrated that the abnormalities in gait pattern such as irregularity and asymmetry can be found and quantified. This provides clinicians an effective tool to analysis hémiplégie patient's impairment level and recovery progress objectively.
Subjects Rehabilitation Engineering
Keyword(s) Gait analysis
Hemiplegic gait
Inertia sensors
DOI - identifier 10.1109/IECON.2014.7049099
Copyright notice © 2014 IEEE
ISBN 9781479940318
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