FPGA Implementation of IoT-Based Health Monitoring System

The electrocardiogram (ECG) is a very important biomedical signal that evaluates the electrical activity of the heart. To diagnose heart disorders, different features should be extracted from the ECG signals. In this context, a fully FPGA-based system for ECG signal monitoring is proposed. The proposed QRS detection method is inspired by the Pan and Tompkins algorithm. This paper shows a prototype for IoT-based health monitoring system design using FPGA. The system uses a System-on-Chip FPGA with an embedded ARM processor and the WiFi 802.11b/g/n operated at 2.4 GHz channel. The heart rate is monitored using an ECG sensor module. And, the body temperature is monitored using an NTC thermistor sensor with a steel head. The ARM processor runs a RTOS to support real time monitoring. Moreover, the QRS module reads out the heart rate. The proposed design is implemented on the FPGA. The system extracts vital signals then sends the values to a smart device. The experimental results show that our system can detect the heart rate. Moreover, the data is received successfully to the web interface.