Utilizing Electrocardiogram Signals for IoT- Based Emergency Alert Systems

Electrocardiogram (ECG) is a bio-signal that is most utilized in healthcare, allowing for pulse monitoring and health assessment. Expanding ECG applications beyond hospitals, this study explores innovative approaches using ESP8266 and Internet of Things (IoT) technology for emergency alert systems. The main objective of the project is the development of an IoT-based Personal Emergency Response System utilizing ECG signals. The study involves analysed data from the ECG simulator MS400 to categorize heart rate conditions (bradycardia, normal, tachycardia). Three ECG signals in beats per minute (BPM) which are 40 BPM, 80 BPM and 120 BPM are taken as the sample ECG signal for analysing purpose. The simulator data serves as reference input. The ESP8266 is the microcontroller, collecting inputs and categorizing the ECG signal based on heart rate conditions. Results are displayed through the Blynk Application on smartphones and an integrated LCD display. The project undergoes a functionality testing, confirming its effectiveness. Based on the ECG reference input, the project able to function as an alert system successfully. The project able to show the three heart conditions: bradycardia, normal, tachycardia through mobile apps and hardware displays including LCD and LEDs.