Sensing, Wireless Transmission, and Smart Processing of Heart Signals

In recent years, by increasing the number of epidemics, the concept of telemedicine and its combination with the Internet of Things (IoT), has become a more prominent subject in engineering. The purpose of this study is to implement an IoT system that can sense the heart signal and detect the arrhythmia in a heartbeat by using smart signal processing and send them through the internet to a relative of the patient or doctor. In this system, Electrocardiogram (ECG) signals are received by electrodes and sent to the AD8232 chip. Then, by connecting to the ESP32 module, information through the Wi-Fi network and Message Queuing Telemetry Transport (MQTT) protocol, is sent to the broker created on Raspberry Pi. Then, using Python and through the Decision Tree algorithm, the heartbeat's performance is evaluated as a smart process. The accuracy of the algorithm in detecting arrhythmias is over 95%. Finally, with an android application and through the TCP/IP protocol, the health or arrhythmia of the heartbeat will be informed on the doctor's or one of the patient's relative's cell phone, and its real-time display will be provided. Also, the possibility of sending a command from a mobile to the broker has been provided.