Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function

The paper introduced a new method based on probability density function (PDF) and phase space diagram method for photoplethysmography (PPG) signal extracting. In the paper, PPG information was generated from human fingertips by smartphones. The pulse wave period was then separated and reconstructed...

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Detalles Bibliográficos
Autores principales: Liang, Kang, Sun, Ying, Tian, Fuying, Ye, Shenghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407308/
https://www.ncbi.nlm.nih.gov/pubmed/30972146
http://dx.doi.org/10.2174/1874120701509010179
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author Liang, Kang
Sun, Ying
Tian, Fuying
Ye, Shenghua
author_facet Liang, Kang
Sun, Ying
Tian, Fuying
Ye, Shenghua
author_sort Liang, Kang
collection PubMed
description The paper introduced a new method based on probability density function (PDF) and phase space diagram method for photoplethysmography (PPG) signal extracting. In the paper, PPG information was generated from human fingertips by smartphones. The pulse wave period was then separated and reconstructed into probability density function (PDF) by the phase space diagram algorithm. The difference between normal sinus rhythm (NSR) and atrial fibrillation (AF) was finally found by skewness of the PDF. The results of the present study demonstrates that the new method is vividly viable for detecting AF on the smartphone.
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spelling pubmed-64073082019-04-10 Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function Liang, Kang Sun, Ying Tian, Fuying Ye, Shenghua Open Biomed Eng J Article The paper introduced a new method based on probability density function (PDF) and phase space diagram method for photoplethysmography (PPG) signal extracting. In the paper, PPG information was generated from human fingertips by smartphones. The pulse wave period was then separated and reconstructed into probability density function (PDF) by the phase space diagram algorithm. The difference between normal sinus rhythm (NSR) and atrial fibrillation (AF) was finally found by skewness of the PDF. The results of the present study demonstrates that the new method is vividly viable for detecting AF on the smartphone. Bentham Open 2015-08-31 /pmc/articles/PMC6407308/ /pubmed/30972146 http://dx.doi.org/10.2174/1874120701509010179 Text en Liang et al.; Licensee Bentham Open. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Liang, Kang
Sun, Ying
Tian, Fuying
Ye, Shenghua
Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function
title Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function
title_full Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function
title_fullStr Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function
title_full_unstemmed Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function
title_short Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function
title_sort research on algorithm of extracting ppg signal for detecting atrial fibrillation based on probability density function
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407308/
https://www.ncbi.nlm.nih.gov/pubmed/30972146
http://dx.doi.org/10.2174/1874120701509010179
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