Visualization of multi-cahnnel vital data at engine idling based on wavelet analysis

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.