RETRACTED ARTICLE
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
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 179
Last Page: 184
Publisher ID: TOBEJ-9-179
DOI: 10.2174/1874120701509010179
Article History:
Received Date: 27/8/2014Revision Received Date: 21/11/2014
Acceptance Date: 19/12/2014
Electronic publication date: 31/8/2015
Collection year: 2015
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.
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.