Automated atrial flutter detection using photoplethysmography

Neha .; N. Dogra; H.K. Sardana; R. Kanawade; N. Dahiya; S. Kumar

doi:10.1117/12.2665491

31 May 2023 Automated atrial flutter detection using photoplethysmography

Neha ., N. Dogra, H.K. Sardana, R. Kanawade, N. Dahiya, S. Kumar

Proceedings Volume 12572, Optical Sensors 2023; 1257208 (2023) https://doi.org/10.1117/12.2665491
Event: SPIE Optics + Optoelectronics, 2023, Prague, Czech Republic

Abstract

Photoplethysmography (PPG) is a non-invasive optical-based technique used to measure various hemodynamic parameters. State-of-the-art proposed various methods for arrhythmia (premature ventricular contraction (PVC), atrial fibrillation) detection using PPG signals. However, restricted research has been carried out for detecting other arrhythmias that could be life-threatening. In this research work, the detection of atrial flutter (AFl) from Normal, Sinus Tachycardia (ST), and PVC signals have been carried out using PPG signals. The method relies on time-domain and entropy features for characterizing the AFl PPG pulse. A sliding window approach has been applied to extract features, and an artificial neural network has been implemented for feature classification. The ground-truth generation for the PPG signals has been carried out on publically available and prospective data. The comparative analysis of the results obtained from the two datasets is useful in the effective identification of the abnormality.

Conference Presentation

Citation Download Citation

Neha ., N. Dogra, H.K. Sardana, R. Kanawade, N. Dahiya, and S. Kumar "Automated atrial flutter detection using photoplethysmography", Proc. SPIE 12572, Optical Sensors 2023, 1257208 (31 May 2023); https://doi.org/10.1117/12.2665491

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