Authors: JungAh Lee SangHyun Cho YoungJae Lee HeuiKyung Yang JeongWhan Lee
Publish Date: 2009/06/16
Volume: 34, Issue: 5, Pages: 959-966
Abstract
A portable and wireless activity monitoring system was developed for the estimation of temporal gait parameters The new system was built using threeaxis accelerometers to automatically detect walking steps with various walking speeds The accuracy of walking steppeak detection algorithm was assessed by using a running machine with variable speeds To assess the consistency of gait parameter analysis system estimated parameters such as heelcontact and toeoff time based on accelerometers and footswitches were compared for consecutive 20 steps from 19 individual healthy subjects Accelerometers and footswitches had high consistency in the temporal gait parameters The stance swing singlelimb support and doublelimb support time of gait cycle revealed ICCs values of 095 093 086 and 075 on the right and 096 086 093 084 on the left respectively And the walking steppeak detection accuracy was 9915 ±0007 for the proposed method compared to 8748 ±0033 for a pedometer Therefore the proposed activity monitoring system proved to be a reliable and useful tool for identification of temporal gait parameters and walking pattern classification
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