Machine Learning and IoT for prediction and detection of stress

According to a cardiac surgeon, it is difficult to predict age from heart rate as it is nonlinear, but we can use a person's heart beat to predict whether that person is fit, unfit and overtrained or not, provided we have that person's age. Based on heart beat we can predict whether a person is in Stress or not. Stress is one of the main factors that are affecting millions of lives. Thus, it is important to inform the person about his unhealthy life style and even alarm him/her before any acute condition occurs. To detect the stress beforehand we have used heart beat rate as one of the parameters. Internet of Things (IoT) along with Machine Learning (ML) is used to alarm the situation when the person is in real risk. ML is used to predict the condition of the patient and IoT is used to communicate the patience about his/her acute stress condition.

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