ANALYSIS OF EMPIRICAL MODES OF ECG SIGNAL WITH BORDER MENTAL DISORDERS 

Tychkov Alexander Yuryevich, candidate of technical sciences, deputy director of the research institute for basic and applied studies, Penza State University (40 Krasnaya street, Penza, Russia), tychkov-a@mail.ru

004.9

10.21685/2307-5538-2018-2-10

Background. The subject of the study: patients with borderline mental disorders (BMD) of the Health Center, who experience changes in the functioning of the cardiovascular system. The subject of the study: a method for analyzing empirical modes (EM) of electrocardiographic (ECG) signals for the diagnosis of BMD. The purpose of the presented work is the development of a method for determining the final number of EM ECG signals in diagnosing patients with BMD to increase the reliability of diagnosis of cardiovascular diseases.
Materials and methods. As the materials, the informative parameters of the ECG signals were used – the amplitude-time components. For effective processing of ECG signals, the decomposition method into empirical modes of the Hilbert-Huang theory was used.
Results. A method for determining the final number of EM ECG signals in patients with BMD, using adaptive ECG signal processing using the Hilbert-Huang theory, has been developed; the determination of a finite number of EM and its comparison with the threshold value. A block diagram and a detailed mathematical description of the developed method are presented. The study of the method using the formed verified signal base of conditionally healthy patients and patients with BMD was carried out.
Conclusions. The results of the research showed that the developed method for determining the final number of EM provides an increase in the accuracy of the determination of the condition of patients with BMD with a sensitivity factor of 6.3 % and a specificity of 3.1 %.

ECG signal, decomposition of empirical modes, borderline mental disorders