TY - GEN
T1 - Pattern classification for Doppler ultrasonic wrist pulse signals
AU - Chen, Yinghui
AU - Zhang, Lei
AU - Zhang, David
AU - Zhang, Dongyu
PY - 2009
Y1 - 2009
N2 - Wrist pulse signal contains important information about the health status of a person and it has been used in Traditional Chinese Medicine for a long time. In this work, digitalized wrist pulse signals from patients with different diseases as well as healthy persons are collected by a Doppler ultrasonic device. Two methods, namely, the wavelet method and the auto regressive prediction error (ARPE) method, are proposed to analyze the pulse signals and distinguish patients from healthy persons. Distinctive features are first extracted from the pulse signals and then the support vector machine (SVM) is used for classification. The applicability of the methods is investigated using wrist pulse signals collected from 50 healthy persons and 74 patients. The results illustrate a great promise of the proposed methods for computerized pulse signal analysis.
AB - Wrist pulse signal contains important information about the health status of a person and it has been used in Traditional Chinese Medicine for a long time. In this work, digitalized wrist pulse signals from patients with different diseases as well as healthy persons are collected by a Doppler ultrasonic device. Two methods, namely, the wavelet method and the auto regressive prediction error (ARPE) method, are proposed to analyze the pulse signals and distinguish patients from healthy persons. Distinctive features are first extracted from the pulse signals and then the support vector machine (SVM) is used for classification. The applicability of the methods is investigated using wrist pulse signals collected from 50 healthy persons and 74 patients. The results illustrate a great promise of the proposed methods for computerized pulse signal analysis.
KW - Auto regressive model
KW - SVM
KW - Traditional Chinese pulse diagnosis
KW - Wavelet transform
UR - https://www.scopus.com/pages/publications/72749116711
U2 - 10.1109/ICBBE.2009.5163172
DO - 10.1109/ICBBE.2009.5163172
M3 - Conference contribution
AN - SCOPUS:72749116711
SN - 9781424429028
T3 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
BT - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
T2 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
Y2 - 11 June 2009 through 13 June 2009
ER -