Stress has become a significant cause for many diseases in the modern society. According to research, stress should be managed as soon as symptoms appear to prevent long-term effects. In the other words, stress should be identified early on to prevent more harm and keep it from becoming chronic. Researchers have developed a concept to early identify the degree of stress in order to further limit the harm to human health as a result of the above-mentioned negative effects of stress upon human health as well as negative effects on social life and the economy. Heart rate, galvanic skin reaction, body temperature, and blood pressure are the fundamental indicators of stress and give precise information about a person's mental state. These characteristics differ from individual to individual depending on factors including age, gender, and physical condition. Our research's primary goal is to examine mental stress using physiological data from an electrocardiograph in various situations and states of mind. Numerous pre-processing techniques and algorithms, including artificial neural networks supported vector machines, Bayesian networks, as well as decision trees, can be employed to produce results that are more accurate.

Stress Management, HRV, ECG Signals, Pre-Processing, ANN