PCG signals for biometric authentication systems: An in-depth review

El-Dahshan, El Sayed A.; Bassiouni, Mahmoud M.; Sharvia, Septavera; Salem, Abdel Badeeh M.

Abstract

This review aims to present a survey of the technologies and methodologies used in the phonocardiogram (PCG) biometric systems. The phases used in the PCG which are explored in this paper include data acquisition, de-noising, extracting PCG peaks, feature extraction, feature reduction, classification, and evaluation. As part of this study, we performed a systematic review that summarizes the well-known approaches used in PCG since its inception to the current status. Out of 157 manuscripts available in the academic databases from 2006 until 2020, 35 primary studies focused on ”heart sounds” like a biometric and this is related to the objective of this research. Out of those studies, 11 matched the inclusion criteria. The estimation performance of these systems is close to an acceptable level in the consideration of PCG as a biometric. The use of PCG signals is a promising field. Finally, the limitations and some future works are discussed.

Citation

El-Dahshan, E. S. A., Bassiouni, M. M., Sharvia, S., & Salem, A. B. M. (2021). PCG signals for biometric authentication systems: An in-depth review. Computer Science Review, 41, Article 100420. https://doi.org/10.1016/j.cosrev.2021.100420

• Journal Article Type: Review
• Acceptance Date: Jul 29, 2021
• Online Publication Date: Aug 18, 2021
• Publication Date: 2021-08
• Deposit Date: Sep 9, 2021
• Publicly Available Date: Aug 19, 2022
• Journal: Computer Science Review
• Print ISSN: 1574-0137
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 41
• Article Number: 100420
• DOI: https://doi.org/10.1016/j.cosrev.2021.100420
• Keywords: Cardiac sound signals; Biometrics; Authentication; Machine learning
• Public URL: https://hull-repository.worktribe.com/output/3828029