The application of spectral analysis of electrocardiograms for valuation the condition of vehicles drivers

Abstract

The paper is devoted to analysis of the heart rate variability using the cardiointervalogram of patients with bradycardia. As a result of the analysis we showed in our work that it is possible to detect the time-domain moment of the person's transition from the waking state to the state of sleep. This problem is rather actual for drivers of vehicles to prevent the car accidents. We suggested the special spectral coefficient “K”. It is ratio of the high frequency part of the signal spectral power to its low frequency part. We calculated the mean values of the coefficient “K” for patients with bradycardia. These values were lower than corresponding values for patients with normal heart rate. It is revealed, this coefficient decreases in the case of more strongly expressive bradycardia according to the expressiveness of a bradycardia. In our work we suggest to define threshold values of this coefficient for patients with different expressiveness of a bradycardia. Besides we consider spectral analysis of electrocardiosignal to determine heart arrhythmias. We suggest algorithm of analysis and original spectral parameter to discriminate normal QRS-complexes from pathological QRS-complexes. Boundary value of frequency separating a low-frequency part of a spectrum from high-frequency part was found experimentally