Abstract
Heart is a vital component of every human health. The development of wearables and its sensor enables the possibility of easy-to-use real-time monitoring. The goal of this study is to improve an IoT monitoring system by enabling real-time heart rate monitoring and analysis, also to assess the use of PPG sensors in smart wearables compared to other clinical-tested heart rate sensors. The PPG sensor will be used to record heart rate data of the user physically. The measurements are then sent to the application for pre-processing. The application can then transmit the pre-processed measurements to the cloud server for monitoring or further analysis, i.e. to assess the health of users’ heart. The measurement comparison with measurement collected by a BCG sensor is carried out in this paper. While neither are standard for heart rate measurements, the findings of the evaluation show that the PPG sensor achieves quite similar input data and assessment results during awake stages. The Fitbit sensor tested often underestimates, with sometimes delayed or doesn’t detect a sudden increase in heart rate during sleeping.
Highlights
IntroductionSeveral researches have studied the relationship between cardiovascular and physical activity [1]-[3]
Cardiovascular health is vital to individual’s health and performance
The data are used for training the Recurrent Neural Network (RNN) model to predict HRV values and B2B simulation
Summary
Several researches have studied the relationship between cardiovascular and physical activity [1]-[3]. Several more researches that study people with bad habits such as smoking or drinking with their cardiovascular health and along with other health problems [4]-[5]. Author in [6] suggests an increase of physical fitness during childhood can improve cardiovascular health during adolescence. Another research studies the relationship of sleep problems and cardiovascular disease [7]. A method or mechanism is needed to be able to track cardiovascular health by monitoring heart rate. The Fitbit Charge 3 is a fitness tracker that can track activity, nutrition, and sleep by using inputs from user such as weight, drinks, food, or inputs from sensors for measuring heart rate, and location.
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