Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform.

Published

Journal Article

We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to model and analyze oscillatory physiological signals. To demonstrate how the model and algorithm work, we apply them to study the pulse wave signal. By extracting features called the spectral pulse signature, and based on functional regression, we characterize the hemodynamics from the radial pulse wave signals recorded by the sphygmomanometer. Analysis results suggest the potential of the proposed signal processing approach to extract health-related hemodynamics features.

Full Text

Duke Authors

Cited Authors

  • Wu, H-T; Wu, H-K; Wang, C-L; Yang, Y-L; Wu, W-H; Tsai, T-H; Chang, H-H

Published Date

  • January 2016

Published In

Volume / Issue

  • 11 / 6

Start / End Page

  • e0157135 -

PubMed ID

  • 27304979

Pubmed Central ID

  • 27304979

Electronic International Standard Serial Number (EISSN)

  • 1932-6203

International Standard Serial Number (ISSN)

  • 1932-6203

Digital Object Identifier (DOI)

  • 10.1371/journal.pone.0157135

Language

  • eng