Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12121
Title: Analysis of pulse waveforms preprocessing
Authors: Wang, D
Zhang, D 
Keywords: Peak detection
Period segmentation
Pulse preprocessing
Wavelet transform
Issue Date: 2012
Publisher: IEEE Computer Society
Source: ICCH 2012 Proceedings - International Conference on Computerized Healthcare, 2012, p. 175-180 How to cite?
Abstract: Pulse is one of the most important body information in Traditional Chinese Medicine (TCM). Pulse diagnosis using statistical learning theory is attracting more and more attention and taking over the traditional subjective judgments. This paper mainly presents the preprocessing algorithm of pulse waveforms. This step almost decides the whole performance of pulse analysis and pattern classification. As a result many research results about pulse preprocessing have been published, while most of the previous method only emphasize on certain aspects and hardly utilize the information in TCM pulse. We propose an integrated framework of preprocessing and introduce our method in each module. The definitions and implementations of pulse preprocessing algorithm are all presented. The proposed preprocessing method of pulse waveforms show a well performance in experiments compared with other previous methods.
Description: 2012 International Conference on Computerized Healthcare, ICCH 2012, Hong Kong, 17-18 December 2012
URI: http://hdl.handle.net/10397/12121
ISBN: 9781467351294
DOI: 10.1109/ICCH.2012.6724492
Appears in Collections:Conference Paper

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