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Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909275/ https://www.ncbi.nlm.nih.gov/pubmed/27304979 http://dx.doi.org/10.1371/journal.pone.0157135 |
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author | Wu, Hau-Tieng Wu, Han-Kuei Wang, Chun-Li Yang, Yueh-Lung Wu, Wen-Hsiang Tsai, Tung-Hu Chang, Hen-Hong |
author_facet | Wu, Hau-Tieng Wu, Han-Kuei Wang, Chun-Li Yang, Yueh-Lung Wu, Wen-Hsiang Tsai, Tung-Hu Chang, Hen-Hong |
author_sort | Wu, Hau-Tieng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4909275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49092752016-07-06 Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform Wu, Hau-Tieng Wu, Han-Kuei Wang, Chun-Li Yang, Yueh-Lung Wu, Wen-Hsiang Tsai, Tung-Hu Chang, Hen-Hong PLoS One Research 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. Public Library of Science 2016-06-15 /pmc/articles/PMC4909275/ /pubmed/27304979 http://dx.doi.org/10.1371/journal.pone.0157135 Text en © 2016 Wu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wu, Hau-Tieng Wu, Han-Kuei Wang, Chun-Li Yang, Yueh-Lung Wu, Wen-Hsiang Tsai, Tung-Hu Chang, Hen-Hong Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform |
title | Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform |
title_full | Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform |
title_fullStr | Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform |
title_full_unstemmed | Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform |
title_short | Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform |
title_sort | modeling the pulse signal by wave-shape function and analyzing by synchrosqueezing transform |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909275/ https://www.ncbi.nlm.nih.gov/pubmed/27304979 http://dx.doi.org/10.1371/journal.pone.0157135 |
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