HHT feature extraction of human pulse signal
DOI:
CSTR:
Author:
Affiliation:

Shandong University of Science and Technology, Qingdao 266590, China

Clc Number:

TP23

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Characteristic parameters related to cardiovascular is contained pulse signal,certain reference information for the initial detection of cardiovascular is provided by extracting and analyzing the characteristic parameters of pulse signal. HilbertHuang transform is used to extract the timefrequency feature of the pulse signal in this thesis,including preprocessing and feature extraction in two aspects. Pulse signal is preprocessed by wavelet soft threshold denoising, the denoised signal is carried out by empirical mode decomposition and HilbertHuang transform to attain Hilbert spectrum and marginal spectrum. Physiological characteristic of pulse signal is analysed by Hilbert spectrum and marginal spectrum, which has guiding significance to the determinion of health status of the human pulse.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: November 22,2017
  • Published:
Article QR Code