Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18862
Title: Arrhythmic pulses detection using Lempel-Ziv complexity analysis
Authors: Xu, L
Zhang, D 
Wang, K
Wang, L
Issue Date: 2006
Publisher: Hindawi Publishing Corporation
Source: EURASIP journal on applied signal processing, 2006, v. 2006, p. 1-12 How to cite?
Journal: EURASIP journal on applied signal processing 
Abstract: Computerized pulse analysis based on traditional Chinese medicine (TCM) is relatively new in the field of automatic physiological signal analysis and diagnosis. Considerable researches have been done on the automatic classification of pulse patterns according to their features of position and shape, but because arrhythmic pulses are difficult to identify, until now none has been done to automatically identify pulses by their rhythms. This paperproposes a novel approach to the detection of arrhythmic pulses using the Lempel-Ziv complexity analysis. Four parameters, one lemma, and two rules, which are the results of heuristic approach, are presented. This approach is applied on 140 clinic pulses for detecting seven pulse patterns, not only achieving a recognition accuracy of 97.1% as assessed by experts in TCM, but also correctly extracting the periodical unit of the intermittent pulse.
URI: http://hdl.handle.net/10397/18862
ISSN: 1110-8657
DOI: 10.1155/ASP/2006/18268
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