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

Autor:	Fuying Tian, Shenghua Ye, Kang Liang, Ying Sun
Rok vydání:	2014
Předmět:	Computer science Diagram Biomedical Engineering Medicine (miscellaneous) Bioengineering Atrial fibrillation Probability density function medicine.disease Signal Skewness Article Phase space Photoplethysmogram medicine Pulse wave PPG Algorithm
Zdroj:	The Open Biomedical Engineering Journal
ISSN:	1874-1207
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f245c57fb2bfb7283a4f5b4ab6d0e7 https://pubmed.ncbi.nlm.nih.gov/30984303 Zobrazit plný text záznamu