ECG biometric authentication: A comparative analysis

Abstract

The primary goal of this research is to use ECG signals to authenticate the user. An electric indication of heart activity known as An electrocardiogram (ECG) has very strong human recognition capabilities. Despite the recent success of ECG-based authentication, successful pattern classification and discriminant feature extraction still confront a number of challenges. There is an urgent need to secure the equipment's integrity and the sensitive data, making authentication methods necessary. Passwords allowed for controlling crucial data, but they also exposed their weaknesses. We provide a method of authentication called "ECG Biometric Authentication" that can successfully grant access to the user The main elements of this authentication are filtering type, segmentation, feature extraction, and ECG health condition.