6-Lead ECG Monitoring System for Recording Cardiac Activity Using Pan-Tompkins Algorithm

Cardiovascular disease refers to various conditions that affect both the heart and blood vessels. Cardiovascular disease is currently the primary factor leading to mortality in the Non-Communicable Disease category. So it is necessary to take preventive measures in the form of early detection of cardiovascular disease and monitoring of patients who are being treated. In this situation, early detection and monitoring can only be done virtually. So a portable 6-Lead ECG device based on wireless communication is needed to fulfill the needs of the telemedicine process. This research uses the ADS1293 sensor module to monitor the electrical activity of the heart to meet the needs of the telemedicine process. The ECG acquisition device can process Lead I, Lead II, and the patient's heart rate value using a modified Pan-Tompkins processing algorithm and augmented Leads obtained by a calculation process. The results show that the design of the ECG acquisition device produces a 6-Lead ECG chart with an average heart rate measurement absolute percentage error (MAPE) of 0.51% compared to the ECG calibration device in the reading range of 40 - 220 BPM. The results are sent to an external device in the form of data using the MQTT protocol through communication between devices in the IoT (Internet of Things). This allows doctors to access their patients' physical data capture results online.