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



Kang Liang*, 1, Ying Sun1, Fuying Tian1, Shenghua Ye2
1 Medical Instrument and Food Engineering College, University of Shanghai for Science and Technology, Shanghai, China, 200093
2 Division of Engineering Science, University of Toronto, Toronto, Canada, M5S 2E4


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Creative Commons License
Liang et al.; Licensee Bentham Open.

open-access license: 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.

* Address correspondence to this author at the College of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, P.R. China; E-mail: liangkang90@126.com


Abstract

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.

Keywords: Atrial fibrillation, Probability density function, PPG, Skewness.



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