Pre-Cardiac arrythmia detection using Machine Learning

Due to lifestyle and dietary choices, cardiac arrhythmia, commonly referred to as irregular heartbeat, has become a growing concern. It may lead to stroke and even death in some severe cases. In order to prevent these deaths, we must diagnose this illness as soon as possible. For that Using machine learning, we have developed a cloud-based method to identify cardiac arrhythmias. It is necessary to employ a productive machine learning approach that was developed by a unique examination of many machine learning algorithms in order to accurately detect cardiac arrhythmias. The suggested algorithm's effectiveness in detecting cardiac arrhythmias was examined using 10-fold cross-validation on two popular open-access databases. Additionally, a real-time patient monitoring system has been developed and demonstrated using Arduino to enable the patient's caretaker or doctor to continuously monitor them for Cardiac Arrhythmia.The main superiority of our system is its capability to automatically generate alerts and notifications based on the vital parameters of the individual, enabling timely intervention and support for patients with Cardiac Arrhythmias.