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|Title: ||TCPD based pulse monitoring and analyzing|
|Authors: ||Wang, Kuanquan|
Zhang, David D.
|Subjects: ||Traditional chinese pulse diagnosis|
Adaptive wavelet filter
|Issue Date: ||2002 |
|Citation: ||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.|
|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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|Type: ||Conference Paper|
|Appears in Collections:||COMP Conference Papers & Presentations|
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