ECG-based-Biometric-Authentication

Overview

• Dataset Used: PhysioBank
• The electrocardiogram (ECG) is an emerging novel biometric approach for human identification. The ECG is unique to an individual, with benefits such as resilience to replay attacks and spoofing.
• ORS Complex is an important characteristic of ECG Signals.
• Firstly, I contributed to the development of an algorithm to identify ECG uniquely. I used AD8232 ECG sensor to acquire ECG Signals in real-time.
• Then, my team acquired Digital ECG Signals of 50 individuals and stored them using Serial Communication (MATLAB).
• This was followed by the Signal Preprocessing step for noise reduction. Finally, Classification methods were used for pattern recognition. Additionally, I developed a C# based Folder Locker and executed MATLAB Script for ECG Authentication

Stages of Authentication