Study and Development of a Non Invasive System for the Evaluation of the Cardiac Activity during Vehicle Driving

Abstract

This thesis deals with the realization of the device for ECG signal measurement and further HRV acquisition during vehicle driving. The signal is acquired using two fabric electrodes with the help of virtual ground as a reference electrode. Furthermore, an analog ECG signal is processed using Olimex EKG Shield and then sent by BLE113 to the LabView software. The preprocessing of the signal and its analysis is realized in LabView. The ECG signal is filtered using wavelets and processed using adapted Pan Tompkins algorithm for further peak detection. The RR intervals are then obtained using these detected peaks which are possible to acquire Heart Rate Variability from. After that, the stress and drowsiness are detected from the HRV.