Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15294
Title: Wrist-pulse signal diagnosis using IC pulse
Authors: Yang, W
Zhang, L 
Zhang, D 
Keywords: ICA
Traditional Chinese pulse diagnosis
Issue Date: 2009
Source: 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, 2009, 5163769 (CD-ROM) How to cite?
Abstract: Traditional Chinese Pulse Diagnosis (TCPD) is one of the most important diagnostic techniques in Traditional Chinese Medicine (TCM) and computerized analysis of pulse signals is a crucial step for objectifying and standardizing TCPD. This paper presents an automated wrist-pulse signal diagnosis approach by using the independent component analysis (ICA) to extract pulse signal features. A wrist-pulse signal dataset is established, which includes both the samples from healthy people and patients with certain diseases. With the extracted features by ICA, a nearest neighborhood classifier is used to distinguish the unhealthy samples from healthy samples. The experimental results on the established dataset demonstrate the efficiency of the proposed ICA based pulse signal analysis method.
Description: 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, Beijing, 11-13 June 2009
URI: http://hdl.handle.net/10397/15294
ISBN: 9781424429028
DOI: 10.1109/ICBBE.2009.5163769
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