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Issue DateTitleAuthor(s)
2019Application of multichannel electrical stimulation of the neck nervous structures in patients with depressive disorders: An fMRI case studyKublanov, V.; Petrenko, T.; Efimtcev, A.
2019An Approach to Unification of Application Programming Interfaces of Gaming Platforms for Artificial IntelligencePonomareva, O.; Vesnin, D.; Vesnina, A.
2019Case study of interrelation between brain-computer interface based multimodal metric and heart rate variabilityVasilyev, V. S.; Borisov, V. I.; Syskov, A. M.; Kublanov, V. S.
2019Climatized module as the basic unit of high-tech medicine. Problems of development and applicationTomilin, V. A.; Ananin, M. Yu.; Perfilieva, N. D.
2017Computational study of thermal changes during the non-invasive neuro-electrostimulation of the nerve structures in the human neck modelling using finite element methodKublanov, V.; Babich, M.; Dolganov, A.; Kornilov, F.; Sajler, A.
2017Correction of attention in a learning ability task with using non-invasive neurostimulation of peripheral nervous systemKublanov, V.; Petrenko, A.; Nabiullina, A.
2005Coupling of University Photonic Courses with Clinical TrainingYakovleva, S. V.
2018Development of the decision support system in treatment of arterial hypertension application of artificial neural networks for evaluation of heart rate variability signalsDolganov, A.; Kublanov, V.; Belo, D.; Gamboa, H.
2017Diagnostics of the arterial hypertension by means of the discriminant analysis analysis of the heart rate variability signals features combinationsKublanov, V.; Dolganov, A.; Kazakov, Y.
2020Effects of Lead Position, Cardiac Rhythm Variation and Drug-induced QT Prolongation on Performance of Machine Learning Methods for ECG ProcessingBogdanov, M.; Baigildin, S.; Fabarisova, A.; Ushenin, K.; Solovyova, O.
2018Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signalsSyskov, A.; Borisov, V.; Tetervak, V.; Kublanov, V.
2019Ferrogels ultrasonography for biomedical applicationsBlyakhman, F. A.; Sokolov, S. Y.; Safronov, A. P.; Dinislamova, O. A.; Shklyar, T. F.; Zubarev, A. Y.; Kurlyandskaya, G. V.; Сафронов, А. П.
2018Investigation of the neuro-electrostimulation mechanisms by means of the functional MRI: Case studyKublanov, V.; Aftanas, L.; Petrenko, T.; Danilenko, K.; Maria, R.; Efimtcev, A.; Babich, M.; Dolganov, A.; Sokolov, A.
2020Machine Learning Methods for Predicting the Lattice Characteristics of MaterialsFilanovich, A. N.; Povzner, A. A.
2019On some possibilities of organizing a mobile hardware-information system for polyfactorial neuro-electrostimulationKublanov, V.; Babich, M.; Dolganov, A.
2018On the possibilities of neuro-electrostimulation for increasing learning parametersKublanov, V.; Petrenko, A.
2020On the stability of tubes of discontinuous solutions of bilinear systems with delaySesekin, A. N.; Zhelonkina, N. I.
2018Oxide layer thickness effects on the resistance switching characteristics of Ti/TiO2-NT/Au structureDorosheva, I. B.; Vokhmintsev, A. S.; Kamalov, R. V.; Gryaznov, A. O.; Weinstein, I. A.
2020Phase Mapping for Cardiac Unipolar Electrograms with Neural Network Instead of Phase TransformationUshenin, K.; Nesterova, T.; Smarko, D.; Sholokhov, V.
2017Polyacrylamide ferrogels with embedded maghemite nanoparticles for biomedical engineeringBlyakhman, F. A.; Safronov, A. P.; Zubarev, A. Y.; Shklyar, T. F.; Makeyev, O. G.; Makarova, E. B.; Melekhin, V. V.; Larrañaga, A.; Kurlyandskaya, G. V.; Сафронов, А. П.