Analysis of pulse waveforms preprocessing

Dimin Wang, Dapeng Zhang

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

11 Citations (Scopus)


Pulse is one of the most important body information in Traditional Chinese Medicine (TCM). Pulse diagnosis using statistical learning theory is attracting more and more attention and taking over the traditional subjective judgments. This paper mainly presents the preprocessing algorithm of pulse waveforms. This step almost decides the whole performance of pulse analysis and pattern classification. As a result many research results about pulse preprocessing have been published, while most of the previous method only emphasize on certain aspects and hardly utilize the information in TCM pulse. We propose an integrated framework of preprocessing and introduce our method in each module. The definitions and implementations of pulse preprocessing algorithm are all presented. The proposed preprocessing method of pulse waveforms show a well performance in experiments compared with other previous methods.
Original languageEnglish
Title of host publicationICCH 2012 Proceedings - International Conference on Computerized Healthcare
PublisherIEEE Computer Society
Number of pages6
ISBN (Print)9781467351294
Publication statusPublished - 1 Jan 2012
Event2012 International Conference on Computerized Healthcare, ICCH 2012 - Hong Kong, Hong Kong
Duration: 17 Dec 201218 Dec 2012


Conference2012 International Conference on Computerized Healthcare, ICCH 2012
Country/TerritoryHong Kong
CityHong Kong


  • peak detection
  • period segmentation
  • pulse preprocessing
  • wavelet transform

ASJC Scopus subject areas

  • Health Informatics


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