Pareeksh

Abstract

The changes in the body conditions are reflected in the flow of blood throughout the body. These changes can be measured as body signals using appropriate sensors. With an improvement in technology and miniaturization of sensors, the healthcare sector has witnessed significant advancement over the years. The signals measured by such sensors carry important information regarding a person’s health and this paper presents a method to utilize the same.The signals acquired from the PPG and ECG sensors are filtered and denoised. Statistical analysis is performed on these signals and important features are extracted. This set of features are given to a trained machine learning model which produces the classifications that confirm the health status of the subject for further investigations.