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Updated: Jan 26, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density
Kang Liang1, Ying Sun1, Fuying Tian1
1Medical Instrument and Food Engineering College, University of Shanghai for Science and Technology, Shanghai, China, 200093.
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.
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