A Study on ECG Monitoring Embedded Systems

Jaehyuk Kim, Eunchan Kim, Yeunwoong Kyung, Haneul Ko

Abstract: The technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. This is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. This means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. Therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems.