IoT-Integrated Architecture for Prompt Heart Disease Identification

Abstract

The chapter explores the novel convergence of IoT and healthcare to tackle the urgent worldwide issue of cardiovascular illnesses. It becomes clear that this is an advanced framework with a user-cantered approach intended for the earlier diagnosis and therapy of cardiovascular infections. In order to enable real-time data gathering and analytics, the chapter offers a thorough examination of how wearable technology, fitness tracking sensors, and cloud computation are integrated. The approach presented by the author utilises ML algorithms and advanced data analysis to provide predictive modelling in the earlier identification of cardiovascular risk factors. It illustrates the observable progress in early illness detection via case studies. In order to provide smooth communication between healthcare practitioners and equipment, this chapter promotes a linked health ecosystem.