DocumentCode :
724502
Title :
Isolate two kinds of cardiac sinoatrial node field potentials by using wavelet analysis
Author :
Yu Feng ; Yanbin Zhang ; Hui Cao
Author_Institution :
Sch. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4944
Lastpage :
4947
Abstract :
Data got from cardiac electrophysiological experiment in this paper indicated that the sinoatrial node field potential was overlapped by two kinds of different signals. The two signals had totally different conductive characteristics. The traditional medical method could not separate these two signals. It brought great inconvenience to cardiac electrophysiological study. In order to solve this problem, we used wavelet transform to analyze sinoatrial node field potential in this paper. The results showed that wavelet analysis could separate the two kinds of field potentials effectively. The data processing used in this paper provided an effective method for medical researchers to process the experimental data of electrophysiological.
Keywords :
electrocardiography; medical signal processing; wavelet transforms; cardiac electrophysiological experiment; cardiac sinoatrial node field potentials; conductive characteristics; electrophysiological data processing; sinoatrial node field potential; wavelet analysis; wavelet transform; Electric potential; Electrodes; Time-domain analysis; Time-frequency analysis; Wavelet analysis; Wavelet transforms; Cardiac sinoatrial node field potential; Microelectrode arrays; Signal decomposition; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162809
Filename :
7162809
Link To Document :
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