Correlation between decomposed modes from carotid and wrist arteries and its application for coronary heart disease

Ren Sun, Cheng Dong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The HHT (Hilbert-Huang Transform) method is adopted to decompose the pulse signals synchronously from the carotid and wrist arteries both in healthy people and those patients suffering from coronary heart disease into the different mode orders. Based on the cross-correlation analysis, it is statistically found that quasi-cycles of 2nd-modes from healthy objects correspond respectively to 1/3 of their physiological pulse cycles, whereas quasi-cycles of their 3rd-modes to 1/2 of these cycles and 4th-mode ones to the cycles themselves. The 1st modes of pulse signals from the healthy group are all of a regular X wave train, and, on the contrary, the counterpart modes from patients with coronary heart disease appear quite different from the regular ones. After a heart surgery, however, the discrepancy in mode pattern obviously diminishes.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages828-832
Number of pages5
DOIs
StatePublished - Dec 1 2010
Event3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China
Duration: Oct 16 2010Oct 18 2010

Publication series

NameProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Volume2

Other

Other3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
Country/TerritoryChina
CityYantai
Period10/16/1010/18/10

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Fingerprint

Dive into the research topics of 'Correlation between decomposed modes from carotid and wrist arteries and its application for coronary heart disease'. Together they form a unique fingerprint.

Cite this