Conference Proceeding

Real time patient's gait monitoring through wireless accelerometers with the wavelet transform

02/2011; DOI:10.1109/BIOWIRELESS.2011.5724355 pp.23 - 26 In proceeding of: Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS), 2011 IEEE Topical Conference on
Source: IEEE Xplore

ABSTRACT Gait analysis through on-body wireless accelerometers can provide valuable information for multiple health-related applications. The dynamic nature of human body acceleration signals makes their analysis with the wavelet transform optimum. Nevertheless, one of the main issues for the practical development of this signal processing tool in real time is the difficulty in the selection of the appropriate scale and mother wavelet for each particular gait. In this paper we show how these problems can be solved, resulting in a system that can accurately monitor patients' gait in real time without the need for calibration.

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Keywords

appropriate scale
 
Gait analysis
 
human body acceleration signals
 
main issues
 
mother wavelet
 
multiple health-related applications
 
on-body wireless accelerometers
 
optimum
 
particular gait
 
patients' gait
 
practical development
 
real time
 
signal processing tool
 
wavelet