Monitoring System Based on IoT Sensor Data with Complex Event Processing and Artificial Neural Networks for Patients Stress Detection

The stress level has been recognized as one of the key factors in the determination of life quality of the individuals. The sensor data obtained by testing patients to various stress levels are very important in order to understand better the circumstances that lead to elevated stress. This paper gives a description of the possible system capable of complex event monitoring of sensor data. The dataset used supplied the stress levels of several patients. The artificial neural network was created for the classification of stress levels and its results can be further used in an IoT system with complex event processing capabilities.