Real Time Patient Vital Monitoring and Alarm System with Prediction of Anomalies and Future Clinical Episodes using Machine Learning Models

Arko Pal Pal; Kunal Mujoo; Ruby Dinakar; Khushi Gupta; Akarsh Siwach

doi:10.37934/aram.109.1.7383

Authors

Arko Pal Pal Department of Computer Science PES University Bangalore, India
Kunal Mujoo Department of Computer Science PES University Bangalore, India
Ruby Dinakar Department of Computer Science PES University Bangalore, India
Khushi Gupta Department of Computer Science PES University Bangalore, India
Akarsh Siwach Department of Computer Science PES University Bangalore, India

DOI:

https://doi.org/10.37934/aram.109.1.7383

Keywords:

Real time vital monitoring, wearable devices, Machine Learning, disease prediction

Abstract

Heart disease is a leading cause of death in India. Many times, heart diseases do not show symptoms until they become a matter of concern. This silent nature calls for real time monitoring of vitals. In this paper, we propose a healthcare monitoring system which makes use of existing wearable devices to measure vitals of the user’s body. The data gathered is used to perform real time analysis to detect any irregularities and simultaneously to predict if there are any underlying problems that might be of future concern.