Real-Time Detection of Pathological Cardiac Events for a Wearable Wireless ECG Monitor

摘要

Wearable wireless ECG monitors have the potential of monitoring the cardiac function without restricting patients' freedom of movement. However, due to their reduced size and consequent limited computational resources, they require the development of dedicated algorithms for real-time ECG signal processing. The paper reports a real-time algorithm based on heuristic methods for detecting pathological cardiac events from the ECG signal captured by a wearable wireless ECG sensor developed by the University of Patras. The algorithm parameter optimization is also described, as well as the performance evaluation with the MIT-BIH Arrhythmia Database, for which Se=95.92% and Sp=98.24% were obtained.