PriMera Scientific Engineering (ISSN: 2834-2550)

Research Article

Volume 4 Issue 3

ML Based Enhanced Authentication Using ECG and PPG Signals for Remote Monitoring of Patients

SJ Dhyanesh, Partha Sarathy S, Harrish Kesavan and S Vallisree*

February 22, 2024

DOI : 10.56831/PSEN-04-112

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Abstract

There is an increased demand for individual authentication and advanced security methods with the technology advancement in all fields. The traditional methods using passwords etc. are prone to proxies. The Electrocardiogram (ECG) and Photoplethysmogram (PPG) can be used as a signature for biometric authentication systems because of their specificity, uniqueness, and unidimensional nature. In this work, ECG and PPG Based Biometric Identification Systems using Machine learning is proposed. This work provides an end-to-end architecture to offer biometric authentication using ECG and PPG biosensors through Support Vector Machine.

Keywords: ECG; PPG; Biometric Authentication; SVM and Arduino

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