EXPERIMENTAL ANALYSIS OF STRESS UNDER DIFFERENT CONDITIONS USING ELECTROGRAPH AND ELECTRODERMAL ACTIVITY

When people face obstacles, expectations, or circumstances that they view as dangerous, overpowering, or beyond their capacity to handle, they feel stress, a physiological and psychological reaction. In this publication, we have collected signals from a variety of participants using both Electrocardiography (ECG) and Electrodermal Activity (EDA). Each person has two electrodes put on their fingertips to capture signals in the BIOPAC MP36 system under three different conditions: stress, deep breathing technique (DBT), and repose. Following the acquisition of all data in the BIOPAC system, the signals are sent to the KUBIOS program, which uses them to extract significant HRV (Heart Rate Variability) properties. The KUBIOS program extracts 38 characteristics in total, and several graphs are created for stress analysis based on these data. These graphs give us a clear idea about variation in different HRV parameters wherein subject is under supine, DBT and stressed conditions. Through the analytical study, we observed that stress index is higher when subjects are put under stressed state while as, stress index came out to be lower during DBT state. This clearly shows that EDA signals are effectively analyzing variations in different HRV parameters and is able to recognize stress in healthy subjects.