HeartWatch: A Smart IoT Network for Predicting Cardiovascular Disease

Authors

  • Lucas Silva University of Lisbon, Portugal
  • Manuela Oliveira University of Lisbon, Portugal

Abstract

HeartWatch presents an innovative approach to cardiovascular disease (CVD) prediction by leveraging the capabilities of a smart Internet of Things (IoT) network. Cardiovascular diseases are a leading cause of mortality worldwide, necessitating effective predictive measures for early intervention and prevention. Traditional risk assessment methods often lack real-time data and personalized insights crucial for accurate predictions. In response, HeartWatch integrates IoT devices to continuously monitor key physiological parameters and lifestyle factors relevant to cardiovascular health. This data is processed through advanced machine learning algorithms to generate personalized risk assessments for individuals. The proposed system not only enhances the accuracy of CVD prediction but also facilitates proactive management strategies tailored to each individual's risk profile. HeartWatch represents a significant advancement in healthcare technology, offering a promising solution to mitigate the burden of cardiovascular diseases and improve public health outcomes.

Downloads

Published

2024-03-07