DocumentCode
2514717
Title
Feature Extraction for Pulse Waveform in Traditional Chinese Medicine by Hemodynamic Analysis
Author
Haixia, Yan ; Yiqin, Wang ; Zhaorong, Liu ; Rui, Guo ; Fufeng, Li ; Fengying, Run ; Yujian, Hong
Author_Institution
Basic Med. Coll., Shanghai Univ. of TCM, Shanghai, China
fYear
2009
fDate
1-4 Nov. 2009
Firstpage
234
Lastpage
238
Abstract
Pulse diagnosis is one of important diagnosis methods in Traditional Chinese Medicine (TCM). Feature extraction of TCM pulse has received more and more attention in recent years. While most of previous methods for feature extraction of TCM pulse have no specific correlation with the mechanism of TCM pulse, a hemodynamics method was used to calculate the pulse waveform velocity (PWV) and pulse reflection factor (R), which reflected the principle of TCM pulse diagnosis. The results showed that the PWV and R are significantly different among four TCM pulses including normal pulse, slippery pulse, wiry pulse and wiry-slippery pulse. It is concluded that the PWV and R may be used as the features for the classification of TCM pulses.
Keywords
feature extraction; haemodynamics; medical diagnostic computing; medical signal processing; patient diagnosis; signal classification; TCM pulse classification; feature extraction; hemodynamic analysis; pulse diagnosis; pulse reflection factor; pulse waveform; pulse waveform velocity; signal processing method; traditional Chinese medicine; Arteries; Biomedical signal processing; Educational institutions; Feature extraction; Heart; Hemodynamics; Laboratories; Medical diagnostic imaging; Reflection; Time domain analysis; Traditional Chinese Medicine; feature extraction; hemodynamics; pulse diagnosis; pulse waveform;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine, 2009. BIBM '09. IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-0-7695-3885-3
Type
conf
DOI
10.1109/BIBM.2009.31
Filename
5341802
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