In recent years, the treatment of cardiovascular disorders has increased dramatically, and there is a need to develop low-cost yet effective sensors’ system to detect the same. This can be done with standard heart-rate variability (HRV) values obtained by analyzing the ECG signal through the transducer. Due to most electrocardiogram system device measurements suffering from poor validity, large amounts of missing data and reliability only at rest or during low-intensity exercise, which makes the existing devices less authentic. This study promotes a genuine estimation of HRV parameters to provide personal feedback about a person’s lifestyle. The proposed low-cost electrocardiogram device measures the ECG signal and calculates parameters like HRV and heart rate to understand a healthy heart better. The signal from the transducer is filtered out to reduce noise, and then sent to an amplifier for amplifying the signal, and finally sent to a microcontroller to calculate the beats per minute or the heart rate. The MCU also computes the R-R interval value which is used to calculate the HRV. This is further communicated to the server using a wireless device such as a LoRa which supports wireless communication protocols like the LoRa, ZigBee, or the Bluetooth 5.0 technology. It promises to deliver a low-cost composite, non-invasive electrocardiogram tool for evaluating autonomic function.