Design of Real Time Cardiac Arrhythmia Detection Device

In this study, Raspberry Pi 3B+ based Electrocardiogram (ECG) device has been designed for real-time detection of cardiac arrhythmia. ECG signals that were taken by using AD8232 heart rate sensor have been displayed with developed software using Python in real-time. By using R-peak detection algorithm, we determined beats per minute (bpm) and arrhythmia type that is related with bpm. These results have been screened into the user interface that has been created with Python. The arrhythmia detection success rate of this study is determined as 97.9%.

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