A Comparison of Algorithms for Body-Worn Sensor-Based Spatiotemporal Gait Parameters to the GAITRite Electronic Walkway
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CLARITY: Centre for Sensor Web Technologies
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This study compares the performance of algorithms for body-worn sensors used with a spatiotemporal gait analysis platform to the GAITRite electronic walkway. The mean error in detection time (true error) for heel strike and toe-off was 33.9 ± 10.4 ms and 3.8 ± 28.7 ms, respectively. The ICC for temporal parameters step, stride, swing and stance time was found to be greater than 0.84, indicating good agreement. Similarly, for spatial gait parameters—stride length and velocity—the ICC was found to be greater than 0.88. Results show good to excellent concurrent validity in spatiotemporal gait parameters, at three different walking speeds (best agreement observed at normal walking speed). The reported algorithms for body-worn sensors are comparable to the GAITRite electronic walkway for measurement of spatiotemporal gait parameters in healthy subjects.
Barry R. Greene is with Applied Technology & Design, Intel Labs, Co. Kildare, Ireland, and with the TRIL Centre. Timothy G. Foran is with the Department of Medical Physics and Clinical Engineering, St. James’s Hospital, Dublin, Ireland. Denise McGrath is with the School of Physiotherapy and Performance Science, University College Dublin, Ireland. Emer P. Doheny and Adrian Burns are with Applied Technology & Design, Intel Labs, Co. Kildare, Ireland, and with the TRIL Centre. Brian Caulfield is with the CLARITY: Centre for Sensor Web Technologies and the School of Physiotherapy and Performance Science, University College Dublin, Ireland.
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