Electrocardiogram Comparison of Stress Recognition in Automobile Drivers on MATLAB

摘要

ECG is accustomed for measuring the rate and periodicity of heart pulses, also the chamber's placement and size, the existence of any injury to the heart, and the consequences of instruments or drugs wont to regulate the heart, example pacemaker. This paper demonstrates the comparison of ECG obtained from the person identification mechanism of automobile drivers beneath several physiological states on Matlab. A count of sixteen cases was used in this analysis from the Stress recognition in Automobile Driver database (DRIVEDB). Automotive arrangements are used to observe physiological stress throughout the natural but physical driving of automobile. Services that requests absolute and apparent ceaseless recognition of the driver have recently appealed many investigation attempts, mostly recommending video-based face/pose recognition, or acoustical investigation, but very few on signal bases on tool. This research paper introduces a novel approach for real-time simulation of the heart dynamics whereas assessed ECG signal recording is the origin for the energizing acts for the model heart. This is inducing the categorization very prompt, reliable and easy. In this paper result obtained presenting the comparison of ECG of stress recognition in automobile drivers (SRAD) with Normal (Sinus) rhythm ECG signal. Through this technique we can compare any type of irregular signal of heart.