A wavelet packet based pulse waveform analysis for cholecystitis and nephrotic syndrome diagnosis

• Published in: 2008 International Conference on Wavelet Analysis and Pattern Recognition Vol. 2; pp. 513 - 517
• Main Authors: Qing-Li Guo, Kuan-Quan Wang, Dong-Yu Zhang, Nai-Min Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2008
• Subjects: Diseases; Feature extraction; Pattern recognition; Pulse waveform; Support vector machines; SVM; Wavelet analysis; wavelet packet transform; Wavelet packets; Wavelet transforms
• ISBN: 9781424422388; 1424422388
• ISSN: 2158-5695
• DOI: 10.1109/ICWAPR.2008.4635834

Traditional Chinese Pulse Diagnosis (TCPD), one of the four diagnostic methods of Traditional Chinese Medicine (TCM), had been proved to be clinically valid in Chinese Medicine history. Different from most previous work which focused on the diagnosis of cardiovascular diseases, this paper further investigated the possibility of diagnosing cholecystitis and nephrotic syndrome using the pulse waveform data. After the pre-processing, the pulse waveform signals were decomposed into a given level by Wavelet Packet Transform and the best basis was picked out by Shannon entropy criterion. Then, subband energies contained in the best basis were extracted as features and the support vector machine classifiers were trained. Experimental results indicated that the proposed method can effectively discriminate these two kinds of diseases.