Ecg Identification And Monitoring System

Résumé: Technologies emerging the world have raised new threats. They made the traditional identification modalities vulnerable and easy to counterfeit. Hence, more sophisticated biometrics become indis- pensable to protect the integrity of the devices and the sensitive data. In the last few years there has been a growing interest in electrocardiogram (ECG) due to its uniqueness. In this work, we developed an ECG identification system. We employed this system into a real world application while solving a second problem which is the digitization of the health system. More precisely, it is an ECG remote monitoring system with ECG based identification. Two datasets were used: the MIT-BIH Arrhythmia and our own collected dataset using our implemented hardware system. The collected data was denoised using a wavelet transform based filter. After segmenting the data and extracting the necessary fiducial features, we stored the generated templates. A template matching algorithm based on the correlation factor was considered to make the matching decisions. Finally, the whole process is presented to the user through a user-friendly android application. Preliminary experimental results indicate that the system achieved 87.5% to 90.90% accuracy.

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