Open Access
Combination of ECG and PPG Signals for Healthcare Applications: A Survey
Author(s) -
Mahmoud M. Bassiouni,
Islam Hegazy,
Nouhad Rizk,
Sayed A. El-Dahshan,
Abdel-Badeeh M. Salem
Publication year - 2021
Publication title -
advances in modelling and analysis. b, signals, information, data, patterns
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.105
H-Index - 7
ISSN - 1240-4543
DOI - 10.18280/ama_b.641-409
Subject(s) - photoplethysmogram , computer science , signal processing , health care , feature extraction , artificial intelligence , electrocardiography , signal (programming language) , feature (linguistics) , medical care , pattern recognition (psychology) , medicine , cardiology , computer vision , filter (signal processing) , emergency medicine , digital signal processing , linguistics , philosophy , economics , programming language , economic growth , computer hardware
Most health care systems use various physiological signals to provide an accurate diagnosis performance. The main common signals functional in health care applications are the electrocardiogram (ECG) and photoplethysmogram (PPG). ECG signal represents the electrical cardiac activity of the heart, while the PPG signal measures the changes in the blood volume. There are several applications in which the ECG combined with PPG can be used in the field of medical health care. This survey illustrates the various applications that combine features from the ECG and PPG signals. The review manifests the techniques, methodologies used in the data acquisition, pre-processing of the signals. The feature extraction and classification phases for both ECG and PPG are explained. The limitations, challenges, and future directions for the combined application of ECG and PPG are clarified to solve the medical problems that existed, presented, and feasible. This study aims to increase the interest in applying the combination between ECG and PPG signals in more applications and to obtain optimal measurements related to cardiac activity.