Title :
Analysis of pulse wave signal based on the wavelet transform
Author :
Li, Jinchuan ; Ren, Keyan ; Yang, Wei
Author_Institution :
Coll. of Archit. & Environ., SiChuan Univ., Chengdun, China
Abstract :
Pulse wave waveform is Changed when the pulse signal generated baseline drift, toward the identification and analysis of pulse signals have a greater impact. The traditional FIR filter of order,often lead to thousands of its order. Although the use of IIR filters can reduce the order of filter, but the IIR filter will cause the nonlinear phase and shift pulse waveform distortion, waveform after filtering is often only detected the heart rate. In view of this, we adopt wavelet denoising in ensuring the premise of distortions to remove the baseline drift pulse signals.
Keywords :
FIR filters; IIR filters; cardiology; medical signal detection; signal denoising; waveform analysis; wavelet transforms; FIR filter; IIR filters; baseline drift pulse signals; heart rate detection; pulse wave signal analysis; pulse wave waveform; pulse waveform distortion; wavelet denoising; wavelet transform; Image reconstruction; Image resolution; Time frequency analysis; Baseline drift; Wavelet denosing; pulse wave; wavelet transform;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5609862