Stanislaw A. Krivenko

Kharkiv National University of Radio Electronics · Department of Information and Network Engineering (INE)

Automatic screening of the population for congestive heart failure (CHF) is a matter of pressing concern due to the severity of the health consequences resulting in disability and death of people. On the one hand, portable devices working with ECG signals become convenient tools for the lay user due to the simplicity. On the other hand, analyzing t...

With the sharp rise in the incidence of diabetes worldwide, the screening diagnosis of this disease is one of the most pressing public health concerns. A model that allows differentiating patients with and without diabetes mellitus is proposed in this study. The target group consisted of diabetics of different ages and sex, and the control group in...

In this paper, the authors consider how to label and save a large number of images that should be predicted in a single file. The technique of automatic labeling the data set with the finite element model for training of artificial neural network in tomography are proposed. A simple transparent example of thirty-two images to be predicted in a sing...

The electrocardiogram (ECG) of the first lead, obtained using portable signal collection tools is noise sensitive. One of the most common and poorly filterable types of noise is muscle artefact. As a result of the simulation, a criterion was found that identifies situations in which the use of kernel-based ECG smoothing after the filtering stage is...

In this paper, the authors consider how to label and save a large number of images that should be predict in a single file. Technique of automatic labeling the data set with finite element model for training of artificial neural network in tomography are proposed. Simple transparent example of sixteen images for predict in a single HDF5 file traini...

A simple method of assessment of electrocardiogram (ECG) quality based on lossless data compression is proposed. It is intended for a quick preliminary assessment of ECG in terms of further analysis of heart rate variability (HRV) based on a sequence of R-peaks. The method does not require a priori information about the type, nature and intensity o...

The non-invasive method for identifying the volunteers suffering from the type 2 diabetes mellitus (T2DM) is suggested. The method is based on the symbolic analysis of short series (~300 points) of RR-intervals of a single-lead electrocardiogram. To obtain the initial symbol sequences, 4 different methods of formation of symbols from the time serie...

Symbolic dynamics of electrocardiograms (ECG) carries the information about functioning of various human body systems. A method for distinguishing the men with low hemoglobin value from the men with normal hemoglobin value by analyzing the symbolic dynamics of the heart rate variability was proposed in the research. The method has got an acceptable...

A method for detection of twofold or greater change in the concentration of glucose in the blood of patients suffering from type 2 diabetes by means of the analysis of their electrocardiograms is proposed. The method is based on a tenth order linear prediction filter. The square of the Matthew's correlation coefficient 0.91 has been achieved during...

There are both the one-to-many and many-to-one types of linear-feedback shift registers. In this paper we filled the gap between them. Our linear-feedback shift register has many-to-many configuration. It generates the Galois field different from finite field formed Galois linear-feedback shift register. We consider inference for appropriate primit...