Wavelet analysis of the electrocardioignals for detection of the posttraumatic myocardial dystrophy features

Abstract

Introduction. The features of the traumatic disease's impact on the cardiovascular system are reviewed. Numerical experiments on electrocardiosignals of the soldiers injuried by mine explosion were held. The nature of the posttraumatic myocardial dystrophy is described. HR ECG signals' analysis. During clinical studies the registration and processing of electrocardiosignals were performed by the high resolution electrocardiography system. The time and amplitude analysis of HR ECG signals was held, and its low efficiency was approved. The integral parameters for detection of the posttraumatic myocardial dystrophy features based on the wavelet analysis of the electrocardiosignals are proposed. Conclusion. Since the myocardial dystrophy is caused by the violation of the processes related to the transport of ions Ca2+, the changes of electrocardiosignals are visible at the highest levels of wavelet decomposition. Thus, the 8th and 9th levels of the 9-level wavelet decomposition of averaged cardiocycles showed the best result for diagnostic.