Unified Hardware Design for ECG-Based Biometric Authentication and Cardiac Monitoring


Despite the increased capabilities of portable devices to monitor personal health, there are also increasing concerns regarding the privacy of personal health data and security embedded in such devices. Electrocardiographic (ECG) processors in portable devices are able to detect cardiac abnormalities by continuously monitoring heart patterns of the user. Furthermore, these ECG signals are being explored for use as potential biometric authentication mechanisms. With the increasing market of wearable devices, companies are exploring for new innovative technologies that offer security and personalized health monitoring.

Invention Description

Researchers at Arizona State University have developed a biometric authentication system by utilizing ECG signals of the heart. Smart electrocardiographic processors integrated into a wearable device are utilized for cardiac monitoring or biometric authentication. Sensors in the processor digitize and filter raw user electrocardiographic signals, whereby machine learning algorithms are implemented to detect and analyze the user’s unique cardiac patterns. The algorithm scans and filters the ECG signal’s R-peaks and cardiac waves of interest in real time to identify users and detect anomalies.

Potential Applications

  • Wearable Technology Architecture Integration
  • Portable ECG Biometric Authentication
  • Secure Personal Cardiac Monitoring

Benefits and Advantages

  • Valuable – Real-time monitoring can identify heart anomalies such as arrhythmia
  • Intelligent – Machine learning algorithms filter and detect a user’s unique cardiac patterns
  • Efficient – Techniques minimize system area and power consumption while remaining accurate
  • Non-Intrusive – System interface offers essential liveliness detection while remaining reserved

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Jae-sun Seo Shihui Yin

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