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

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ID: 56001
2016
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Abstract
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.
Reference Key
wu2016modelingplos Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wu, Hau-Tieng;Wu, Han-Kuei;Wang, Chun-Li;Yang, Yueh-Lung;Wu, Wen-Hsiang;Tsai, Tung-Hu;Chang, Hen-Hong;
Journal PloS one
Year 2016
DOI
DOI not found
URL
http://europepmc.org/articles/PMC4909275?pdf=render
Keywords
Medicine Chemical technology Electrical engineering. Electronics. Nuclear engineering Science telecommunication electronics genetics

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