Identification of Arrhythmia Using ECG Signal Patterns

A non-invasive approach is used to diagnose multiple heart diseases. One of the disorders is arrhythmia. The ECG approach was used. Because of its simplicity and non-invasive design, an electrocardiogram (ECG) has been commonly used for detecting heart disease. It is possible to detect some of the heart's abnormalities with each heartbeat caused by electrical signal Le. The heart's variation of action impulses output waveform generated by various advanced cardiac tissues. In this paper, Arduino interacts with ECG signal real-time data, filters out noise, selects features, and compares them to the existing signal.