Analysis of Abnormality in Heart Rhythm Using Machine Learning Approach

The human body contains a vital organ name is Heart. As any machine helps in the proper distribution of any product, our heart distributes pure blood to various parts of our body. Due to the proper flow of blood, we are able to maintain a healthy life. However, problems start if some abnormality arises in the functioning of the heart vessels. One common heart disease is arrhythmia (also called dysrhythmia), which is an abnormal heartbeat. In case of arrhythmia, the heart fails to beat at regular intervals. Sometimes, the beats are either too fast or too slow or just irregular when you are at rest or just not beating in a regular pattern. Anthemia may at times be harmless, but if left untreated for long may at times become fatal. So, to maintain a normal and healthy life, detection of anthemia at an early stage is very vital to prevent cardiac-related problems. This paper discusses several machine learning techniques along with their performance in diagnosing arrhythmia with the help of an electrocardiogram.