Electrocardiogram-based biometrics for user identification - Using your heartbeat as a digital key

Area of Science:

• Biometrics
• Cybersecurity
• Cardiovascular Technology

Background:

• External biometrics (e.g., facial recognition, thumbprints) are common but vulnerable to cybercrime.
• Internal biometrics offer a more secure alternative for device authentication.
• Electrocardiogram (ECG) signals possess unique characteristics suitable for biometric identification.

Purpose of the Study:

• To review the historical development of ECG biometrics.
• To explore the technical and security considerations of using ECG for authentication.
• To discuss current and future applications of ECG as an internal biometric.

Main Methods:

• Literature review of ECG biometric research.
• Analysis of technical challenges in ECG signal acquisition and processing.
• Examination of security implications and potential vulnerabilities.

Main Results:

• ECG signals exhibit sufficient distinctiveness for reliable user authentication.
• ECG biometrics present advantages over external methods, including inherent security.
• Technical hurdles and security considerations are critical for practical implementation.

Conclusions:

• ECG biometrics represent a promising internal authentication method.
• Further research is needed to overcome technical and security challenges.
• The unique nature of ECG signals offers significant potential for future security applications.