Design and implementation of a real time stress monitoring system with the help of ECG using Matlab tool

In the presented paper we have explained the design and implementation of a system that is capable in monitoring of mental stress in real time. To determine the stress of the person we have tried to estimate the autonomic state of the person, the idea is based on the basic fundamental, and it states emotional arousal is directly linked with the autonomic state of the person. To determine the autonomic nervous system (ANS) activity we have taken the help of the some physiological signals that are in the control of ANS. We have monitored the Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and respiration rate (RR) of the person to detect the mental stress. To perform the analysis of the above stated signals we have used software called Matlab. In this system we have created a Body Sensor Network (BSN) to acquire the raw physiological signals through a data acquisition card (DAC), we have used the Xbee module to create the BSN. After the acquisition and reception these signals are processed in Matlab Software. In Matlab we have created an algorithm using this algorithm our system differentiates the relaxed state with stress state. As we have designed this system for the monitoring the patients those are facing the issue of the panic attacks hence we have designed a separate module in this system which sends the message on the pre provided mobile number. In the message it sends the State of the person with the location of the person. To determine the location we have used the GPS module and the information is sent through a GSM module and a SIM.