Title: A summative survey on ECG and PPG signal analysis

Authors: Tara Rasti; Quanmin Zhu; Keming Zhou; Aakash Soni; Shanshan Zhao; Duncan Sleeman

Addresses: School of Engineering, University of the West of England (Frenchay Campus), Bristol, England, UK ' School of Engineering, University of the West of England (Frenchay Campus), Bristol, England, UK ' August International Ltd., Rawmec Business Park, Hoddesdon, England, UK ' August International Ltd., Rawmec Business Park, Hoddesdon, England, UK ' School of Engineering, University of the West of England (Frenchay Campus), Bristol, England, UK ' School of Engineering, University of the West of England (Frenchay Campus), Bristol, England, UK

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.

Keywords: ECG; electrocardiogram; PPG; photoplethysmography; signal pre-processing; feature extraction; feature selection; classification; database; emotion assessment; arrhythmia detection.

DOI: 10.1504/IJCAT.2023.134762

International Journal of Computer Applications in Technology, 2023 Vol.73 No.2, pp.148 - 162

Received: 31 Aug 2022
Received in revised form: 19 Jun 2023
Accepted: 17 Jul 2023
Published online: 09 Nov 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article