Pulse Feature Analysis and Extraction Based on Pulse Mechanism Analysis

Author

Yuan-Hua, Liu ; Qi-Hua, Yang ; Hong-Fei, Shi

Author_Institution

China Jiliang Univ., Hangzhou, China

Volume

7

fYear

2009

fDate

March 31 2009-April 2 2009

Firstpage

53

Lastpage

56

Abstract

Basic pulse feature extraction and standardization is the foundation of pulse diagnosis research. In this article, a pulse data collection method is found through experiments. Then pulse characters are analyzed by sorting. Waveform characters are studied especially. In this course, slippery pulse and wiry pulse and also uneven pulse are studied. Because of the special character of female physiological process, a female´s pulse tracings are recorded. With the data, wiry pulse and slippery pulse are analyzed in frequency domain and time-frequently domain.

Keywords

feature extraction; medical signal processing; patient diagnosis; physiology; time-frequency analysis; female physiological process; frequency domain; pulse characters sorting; pulse data collection method; pulse diagnosis research; pulse feature extraction; pulse mechanism analysis; pulse tracings; slippery pulse; time-frequently domain; waveform characters; wiry pulse; Computer science; Data mining; Feature extraction; Frequency; Information analysis; Medical diagnostic imaging; Pulse compression methods; Skin; Space vector pulse width modulation; Visualization; data acquisition; feature analysis; feature extraction; pulse classification; pulse wave; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Engineering, 2009 WRI World Congress on

Conference_Location

Los Angeles, CA

Print_ISBN

978-0-7695-3507-4

Type

conf

DOI

10.1109/CSIE.2009.919

Filename

5170279