Real-Time Wireless ECG Biometrics with Mobile Devices

Over the last years, there has been an increasing research interest in the application of medical biometrics data for many kinds of automated recognition algorithms. The need for more security and health monitoring is increasing with new functionalities and features made available. To improve different device/application security and health monitoring we propose an stable biometric electrocardiography (ECG) recognition approach with a stable cycle detection mechanism and comparison algorithm. Unlike previous work on wearable ECG recognition, which was based from cabled non-wireless systems, this paper reports new wireless technology and techniques for which can improve the performance, by using simple and low cost approaches. Pre-processing, cycle detection and recognition analysis were applied to the ECG signal. The performance of the system was evaluated having 30 volunteers (5 sessions per volunteer) and resulted in an equal error rate (EER) less than 1%.