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.