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Arrhythmia detection based on ECG signal using Android mobile for athlete and patient

The heart is a vital organ that needs to be monitored periodically by everyone, including athletes and heart patients. Heart condition of an athlete requires special attention to keep his/her stamina and performance, however monitoring the heart signal during athlete activity is challenge to be solved. In this research, we developed a mini wearable ECG device and real time arrhythmia detection based android mobile application. ECG signals acquired live by the ECG's analog front end and sent through a Bluetooth module to Android mobile devices. On Android application processed data analysis based Pan Tompkins algorithms to detect complex QRS ECG signal and heart beats. From the number of heart rate can be detected abnormalities. Upon completing the system, we tested the system using signals generated by Fluke PS400 and real data. There are three categories of abnormalities under study: brachycardia, tachycardia, and sinus arrhythmia. Normal heart signal is also included in the test. These experiments indicated accuracy of 98.4% for generated signals and 99.6% for real signal. The application itself need 2.09 MB of memory and can run under all smartphone running Android.