Azab Mohamed Abdalla Elsayed

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, an...

telehealth and remote monitoring improve healthcare accessibility but also expose sensitive data to security and privacy risks, where traditional authentication methods often prove inadequate. The electrocardiogram (ECG) has emerged as a promising biometric modality due to its inherent liveness detection, universality, and individual uniqueness. This paper reviews the ECG authentication pipeline, including signal acquisition through wearables, pre-processing techniques for noise reduction, feature extraction methods (fiducial, non-fiducial, and deep learning), and classification models. Public...