Cart (Loading....) | Create Account
Close category search window

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Qing-Li Guo ; Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin ; Kuan-Quan Wang ; Dong-Yu Zhang ; Nai-Min Li

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.

Published in:

Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on  (Volume:2 )

Date of Conference:

30-31 Aug. 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.