Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1247
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dc.contributorDepartment of Computing-
dc.creatorWang, K-
dc.creatorXu, L-
dc.creatorZhang, DD-
dc.creatorShi, C-
dc.date.accessioned2014-12-11T08:23:55Z-
dc.date.available2014-12-11T08:23:55Z-
dc.identifier.isbn0-7803-7508-4-
dc.identifier.urihttp://hdl.handle.net/10397/1247-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.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.en_US
dc.rightsThis 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.en_US
dc.subjectTraditional chinese pulse diagnosisen_US
dc.subjectPulse monitoringen_US
dc.subjectPulse waveformen_US
dc.subjectAdaptive wavelet filteren_US
dc.subjectChaosen_US
dc.titleTCPD based pulse monitoring and analyzingen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: David Zhangen_US
dcterms.abstractThis 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation1st International Conference on Machine Learning and Cybernetics : November 4-5, 2002, Beijing, China : proceedings, v. 3, p. 1366-1370-
dcterms.issued2002-
dc.identifier.scopus2-s2.0-0036930551-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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