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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:
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
Descripción
Sumario: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.