Applicability of multiresolution wavelet analysis for QRS-waves detection.

The aim of this study is to create highly effective QRS-detector of electrocardiographic (ECG) signal based on the multiresolution wavelet analysis, set of nonlinear transforms and adaptive thresholding. The efficiency of various QRS-waves detectors for processing model ECG signals contaminated by artificially simulated intensive noise and artifacts was researched. The performance of the proposed method as well as some other well-known algorithms for QRS-waves detection was further verified for clinical ECG recordings from the Physionet MIT-BIH Arrhythmia database.

Modeling digital pulse waveforms by solving one-dimensional Navier-stokes equations.

Mathematical modeling for composition distal arterial pulse wave in the blood vessels of the upper limbs was considered. Formation of distal arterial pulse wave is represented as a composition of forward and reflected pulse waves propagating along the arterial vessels. The formal analogy between pulse waves propagation along the human arterial system and the propagation of electrical oscillations in electrical transmission lines with distributed parameters was proposed.

Alterations in cardiovascular system under artificially simulated microgravity: preliminary study.

The main goal of this work is to study the alterations occurred in human cardiovascular system under artificially simulated microgravity by using special short-arm centrifuge. We have used arterial blood pressure, ankle-brachial pressure index and accelerated photoplethysmography approach to determine the effects of artificially simulated microgravity on vascular system. The group of 30 healthy male volunteers was studied in a short-arm human centrifuge at two levels of gravity gradients along head-to-foot direction (Gz): normal gravity gradient of 1 Gz and so called microgravity mode of 0.