TCPD based pulse monitoring and analyzing

Kuan Quan Wang, Li Sheng Xu, Dapeng Zhang, Cheng Shi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

21 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of 2002 International Conference on Machine Learning and Cybernetics
Pages1366-1370
Number of pages5
Volume3
Publication statusPublished - 1 Dec 2002
EventProceedings of 2002 International Conference on Machine Learning and Cybernetics - Beijing, China
Duration: 4 Nov 20025 Nov 2002

Conference

ConferenceProceedings of 2002 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityBeijing
Period4/11/025/11/02

Keywords

  • Adaptive wavelet filter
  • Chaos
  • Pulse monitoring
  • Pulse waveform
  • Traditional chinese pulse diagnosis

ASJC Scopus subject areas

  • Engineering(all)

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