Wireless ECG with Machine Learning-Based Diagnostic Analysis

The Internet of Things (IoT) is one of the smartest healthcare and management applications. This project aims to create a device that is a modern model of everyday ECG devices used by the doctors of our society these days. Wireless technologies and wearable sensors enable effective patient monitoring. Heart disease can't be taken lightly. Because heart disease has become a major problem for the last few decades and many people die due to certain health problems. Analyzing or monitoring the ECG signal at an early stage can prevent various heart diseases. The data from wearable sensors can be processed, analyzed, and classified using machine learning algorithms. The proposed method can be used to monitor and classify arrhythmia patients. Sensors worn by patients with arrhythmia and continuous monitoring can be done using IoT Cloud. This way the patient benefits because they have the freedom to be mobile and monitor in their normal environment. In this project, IoT Cloud is used to expand patient care, a way to monitor patients, visualize patient arrhythmia and classify hospital data.