No. 1, 2020
- Application of machine learning algorithms and neural networks for SCG signal classification pp. 5-20
- Methods for automatic assessment of the psychophysiological state of a person according to the parameters of electroencephalograms (review) pp. 21-34
- The pulse wave transit time estimation based on the arterial pressure pneumatic sensor data synchronized with ECG record pp. 35-43
- Finite element modelling of an ultrasonic recanalization of in-stent restenosis pp. 44-52
- Electrodes location determination during reopulmonographic studies pp. 53-59
- Reduction of regenerative activity of planarians in a low-intensity radio frequency field due to disruption of proliferative activity and cellular metabolism pp. 60-66
- Deep learning in fall detection by bioradar means pp. 67-72
- Theoretical and methodological foundations of biofeedback pp. 73-79