Detection of Heart Disease Using Sensor Enabled Device and Machine Learning

An immobile, bulky, expensive, and non-sendable continuous cardiac monitoring device is used by the majority of hospitals and health organisations. This machine learning model warns if the patient's heart rate changes in an alarming way. Therefore, the goal of this project is to build and create a prototype of a gadget that can detect worrying changes The pulse within a person's cardiovascular rhythm and sends an immediate SMS warning to medical professionals or someone in authority. The goal is achieved by creating an Arduino microcontroller that uses a GSM Shield module to serve, creating an SMS interface to facilitate communication between the device and a pulse sensor module for the purpose of detecting worrisome variations Monitoring a user's heart rate through the application of photoplethysmography.