Detection of Cardiac Arrhythmia using Machine Learning

The testing and evaluation of cardiac arrhythmia requires the use of Electro cardio gram (ECG), a diagnostic tool. Cardiac arrhythmia refers to abnormalities in the rate of the heartbeat. It happens when the heart’s electrical signals are malfunctioning and the heart beats too quickly, too slowly, or irregularly. The usage of machine learning in detecting cardiac arrhythmia can help improve the performance and efficiency of diagnosis, but it is important to note that machine learning algorithms should always be used hand-to-hand with clinical expertise and judgment. Several factors, including excessive blood pressure, alcohol misuse, and genetics, can contribute to cardiac arrhythmia. If not attended it can be life-threatening and lead to death.