Healthcare Access: A Survey on IoT and Machine Learning Algorithms for Effective Heart Rate Detection

With the rapid development of technology, the needs for health care systems research are increasing rapidly. Heart rate is one of the most important physiological parameter in healthcare. People in the globe are affected with many diseases. If a person is physically unfit, it may cause serious problems like obesity, cardiac arrests, etc. We can use heart beat to predict whether the person is physically unfit or fit. And this provides counter measures to avoid these serious problems. Thus, it is very important to inform about person’s unhealthy life. IoT and machine learning are used to predict when the person is in high risk. Here, IoT (sensors, protocols, microcontroller boards) is used to collect data of heart beat and machine learning algorithm for prediction. However, sensors can face the challenges like motion artifacts and position to be chosen, the purpose of this paper is to implement a comfortable and easier way to measure the heart/pulse rate and analysis can be made.