Enhancing Telehealth Security and Personalization Through Ecg Biometrics: a Comprehensive Analysis
Year: 2025
Type: conference-paper
Abstract: This paper explores the integration of electrocardio-gram (ECG) biometrics into telehealth systems as a secure and user-friendly solu-tion. The rapid expansion of telehealth services has underscored the need for robust se-curity measures and personalized patient care. Traditional authentication methods, such as passwords and PINs, are prone to vulnerabilities and often fail to provide a seamless user experience. The study delves into the technical aspects of ECG signal acquisition, preprocessing, feature extraction, and classification, while addressing challenges such as noise, variability, and device interoperability.
DOI: 10.21661/r-564423
Authors: Mohamed Abdalla Elsayed Azab, Viktoriia Mikhailovna Korzhuk
Institution: ITMO University
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4408097374