Integrated Machine Learning Framework for Automated Vehicle Monitoring System for CVD Patients
DOI:
https://doi.org/10.17762/msea.v71i4.1052Abstract
In this paper, we design an Integrated Machine learning framework for Automated Vehicle Monitoring for CVD Patients. The study uses a machine learning algorithm to detect the heart rate and pulses of the CVD Patients who drive the vehicles. The simulation is conducted to check if the trained machine learning classifier classifies the patient’s heart rate in effective manner. The results of simulation shows that the proposed method has higher accuracy than other methods.