DocumentCode :
2313956
Title :
Determination of a Patient´s Speed and Stride Length Minimizing Hardware Requirements
Author :
Martin, Eladio ; Shia, Victor ; Bajcsy, Ruzena
Author_Institution :
EECS Dept., Univ. of California, Berkeley, Berkeley, CA, USA
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
144
Lastpage :
149
Abstract :
Within biomedical engineering, the use of wearable wireless accelerometers for gait analysis can provide useful information for multiple health-related applications. The minimization of hardware for an accurate and simple estimation of the patient´s velocity and stride length represents a difficult task. In this paper we propose a new methodology to determine the velocity and stride length of the patient through the application of the wavelet transform to the waist acceleration signal minimizing the hardware requirements. We introduce 4 novel formulations to take into account the trade-off between accuracy and computational costs, showing that an adaptive optimum approach can deliver results with average errors below 5%.
Keywords :
accelerometers; gait analysis; wavelet transforms; wearable computers; biomedical engineering; gait analysis; hardware requirement; patient speed; stride length; waist acceleration signal; wavelet transform; wearable wireless accelerometer; Acceleration; Accelerometers; Accuracy; Estimation; Legged locomotion; Wavelet transforms; Body sensor networks; Event detection; Wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Body Sensor Networks (BSN), 2011 International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4577-0469-7
Electronic_ISBN :
978-0-7695-4431-1
Type :
conf
DOI :
10.1109/BSN.2011.16
Filename :
5955313
Link To Document :
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