The Mechanism Used for Classifying Heart Disease and Detecting Abnormality Using Electronic Data

Author:

Ravi Rohit1,Madhavan P.1

Affiliation:

1. Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, India

Abstract

This chapter aims to explain the impact and role of IoT devices and Artificial Intelligence in Cardiovascular Disease Detection with heart sound data using a modified stethoscope. This chapter explains new technologies that will help us keep track of cardiovascular disease from its early stages and how it will change the healthcare system's future. We will discuss the model used in future hospitals or clinics to find heart sound irregularity within a minimum period and also in diagnosing some other diseases related to heart or lung sounds. This will help keep track of more patients without wasting time in clinical testing. And if any abnormality is found, it can be clinically tested and treated as early as possible. As we know, treating cardiovascular disease in its early stage is more straightforward than its severe stage. It became one of the most life-threatening diseases instead it is not an infectious disease. According to the record of WHO, over 18 million people lost their lives due to this disease.

Publisher

IGI Global

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