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Title: TCPD based pulse monitoring and analyzing
Authors: Wang, K
Xu, L
Zhang, DD 
Shi, C
Issue Date: 2002
Source: 1st International Conference on Machine Learning and Cybernetics : November 4-5, 2002, Beijing, China : proceedings, v. 3, p. 1366-1370
Abstract: This article presents pulse monitoring and analysis approaches on Traditional Chinese Pulse Diagnosis (TCPD) by means of modern nonlinear signal processing technology. Pulse monitoring is significant for the research on cardiovascular and nervous system. But some interference, such as respiration, motion artifacts can be greatly brought into the long-term pulse acquisition. Thus, a cascaded adaptive wavelet filter is designed to solve this issue. Then analysis of long-term pulse waveform in TCPD is illustrated after being preprocessed. What's more, the chaos character of healthy Heart Rate Variability (HRV) is validated.
Keywords: Traditional chinese pulse diagnosis
Pulse monitoring
Pulse waveform
Adaptive wavelet filter
Publisher: IEEE
ISBN: 0-7803-7508-4
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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