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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1247
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| Title: | TCPD based pulse monitoring and analyzing |
| Authors: | Wang, Kuanquan
Xu, Lisheng
Zhang, David D.
Shi, Cheng |
| Subjects: | Traditional chinese pulse diagnosis
Pulse monitoring
Pulse waveform
Adaptive wavelet filter
Chaos |
| Issue Date: | 2002 |
| Publisher: | IEEE |
| 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.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Type: | Conference Paper |
| URI: | http://hdl.handle.net/10397/1247 |
| ISBN: | 0780375084 |
| Appears in Collections: | COMP Conference Papers & Presentations
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