Wrist-pulse signal diagnosis using IC pulse

Wankou Yang, Lei Zhang, Dapeng Zhang

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

8 Citations (Scopus)

Abstract

Traditional Chinese Pulse Diagnosis (TCPD) is one of the most important diagnostic techniques in Traditional Chinese Medicine (TCM) and computerized analysis of pulse signals is a crucial step for objectifying and standardizing TCPD. This paper presents an automated wrist-pulse signal diagnosis approach by using the independent component analysis (ICA) to extract pulse signal features. A wrist-pulse signal dataset is established, which includes both the samples from healthy people and patients with certain diseases. With the extracted features by ICA, a nearest neighborhood classifier is used to distinguish the unhealthy samples from healthy samples. The experimental results on the established dataset demonstrate the efficiency of the proposed ICA based pulse signal analysis method.
Original languageEnglish
Title of host publication3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOIs
Publication statusPublished - 31 Dec 2009
Event3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, China
Duration: 11 Jun 200913 Jun 2009

Conference

Conference3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
CountryChina
CityBeijing
Period11/06/0913/06/09

Keywords

  • ICA
  • Traditional Chinese pulse diagnosis

ASJC Scopus subject areas

  • Biotechnology
  • Biomedical Engineering

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