IoT Enabled Tele ECG Monitoring System Using Rasberry Pi and Cloud Analytics

Abstract: Continuous monitoring of cardiac activities plays a vital role in the early detection of cardiovascular diseases. This paper aims to present a tele-ECG monitoring system enabled through the Internet of Things (IoT) technology. The system will be implemented through the usage of a Raspberry Pi device and the ThingSpeak cloud-based analytics platform. The proposed tele-ECG monitoring system will include the usage of an ECG sensor module that will be integrated with a Raspberry Pi device to acquire ECG signals from the patient. The ECG signals will be transmitted to the cloud-based platform through the IoT communication protocol. The ECG signals will be stored in the cloud-based platform. Doctors can track the ECG signals to understand the cardiac conditions of the patient. The experiment was carried out through the usage of ECG signals from various test subjects. In addition to this, the system successfully transmitted the ECG signals to the cloud with an average data transmission delay of 1.5-2 seconds. Moreover, the system successfully monitored the accuracy of the signals with an accuracy of 94-96% compared to the reference ECG readings. Based on the above results, it can be concluded that the proposed system can be effectively used for the implementation of a cost-effective system for the monitoring of cardiac signals.

Keywords: ECG System, Raspberry Pi, Internet of Things, ThingSpeak, Cloud Analytics