P. V. Murashov

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A software complex for the automation of functional electrocardiographic (ECG) studies is presented. The algorithms of ECG signal processing and recognition of diagnostically significant ECG changes are considered. Methods of 3D visualization are proposed to increase the informativeness of electrocardiographic data and improve diagnostic accuracy.
The aim of this study was to investigate the possibility of voluntary training for independent component of event-related potentials in modified two-stimuli Go/NoGo test by the method of biofeedback. Subjects were 10 healthy people which were asked to increase amplitude of P3b component of event-related potentials from Go stimulus. This component is(More)
The possibility of voluntary training of the independent component of event-related potentials (ERPs) by the method of biological feedback (BFB) using a modified two-stimulus test of Go/NoGo paradigm was studied. Ten subjects had to increase the amplitude of the P3b component of ERPs induced by the Go stimulus during one training session. This component is(More)
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