A summative survey on ECG and PPG signal analysis
by Tara Rasti; Quanmin Zhu; Keming Zhou; Aakash Soni; Shanshan Zhao; Duncan Sleeman
International Journal of Computer Applications in Technology (IJCAT), Vol. 73, No. 2, 2023

Abstract: The heart's electrical activity can be measured with Electrocardiogram (ECG), where electrodes are located on the skin. The second approach is Photoplethysmography (PPG) to measure the changes of the blood volume by the light absorbed/reflected from tissues. ECG has higher accuracy than PPG in measurements, however, requires a closed-loop circuit to complete a measurement. Although they have the merit of non-invasive measurements, ECG and PPG signals are non-stationary, very sensitive to noise and highly stochastically variable. Therefore, they need to be pre-processed to denoises. Generally, the analysis of ECG and PPG signals involves pre-processing, feature extraction/selection/classification. Furthermore, appropriate configuration of the ECG/PPG signal database and performance specification such as accuracy, specificity, sensitivity and the others have significance in the signal analysis. This paper presents an updated literature survey on ECG/PPG signal analysis for the future study reference. The review focuses on the electrical signal processing instead of medical interpretation.

Online publication date: Thu, 09-Nov-2023

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