Providing the Mechanism for Detecting the Level of Stress in Individuals Based on Signal Processing Electromyogram

Stress is one of the problems of today's societies that is rapidly developing in all aspects of life and can be the root of many psychological and physical problems. Stress occurs when a person exerts more pressure than he or she is accustomed to. Since stress is a factor that can severely affect the performance of individuals. Therefore, the diagnosis and evaluation of stress in professionals has become an important category. Early detection can prevent serious harm to people. One of the ways to diagnose stress is to use vital signals. In this study, vital nerve and muscle signal or electromyography was used to diagnose stress. For this purpose, the biceps muscle signal of 5 people in two positions before stress and during stress are analyzed by using mathematical parameters according to the values of the criteria and their evaluation in different people. The proposed method shows the signal correlation rate of 0.0970.