Title :
Visualization of multi-cahnnel vital data at engine idling based on wavelet analysis
Author :
Yamamoto, Toru ; Shin, Seiichi
Author_Institution :
Dept. of Syst. Eng., Univ. of Electro-Commun., Chofu, Japan
Abstract :
This paper presents an analysis and a visualization method of vital signals of a passenger, during engine idling. The idling signal is analyzed and suppressed in order to detect a pulse caused by heartbeats and make them visible by wavelet analysis. The measured vital signal is contaminated with an engine idling signal, and it is needed to be separated in a time-frequency band by using wavelet transformation. This paper also proposes a visualization method of 18 channel vital signals with wavelet analysis. An experiment result shows effectiveness of the proposing analysis and method.
Keywords :
data visualisation; signal detection; wavelet transforms; channel vital signals; data visualization; engine idling signal; heartbeats; multichannel vital data; pulse detection; time-frequency band; wavelet analysis; wavelet transformation; Engines; Pollution measurement; Sensors; Vibrations; Wavelet analysis; Wavelet transforms; Engine rotation; Heartbeat; Idling; Pulse; Time-frequency analysis; Visualization; Wavelet transform;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6530-9
DOI :
10.1109/ICWAPR.2010.5576393