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Электронный научный архив УрФУ
Просмотр коллекции по группе - По тематике ELECTROPHYSIOLOGY
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Отображение результатов 1 до 20 из 24
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Дата публикации
Название
Авторы
2019
Case study of interrelation between brain-computer interface based multimodal metric and heart rate variability
Vasilyev, V. S.
;
Borisov, V. I.
;
Syskov, A. M.
;
Kublanov, V. S.
2023
Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy
Dokuchaev, A.
;
Chumarnaya, T.
;
Bazhutina, A.
;
Khamzin, S.
;
Lebedeva, V.
;
Lyubimtseva, T.
;
Zubarev, S.
;
Lebedev, D.
;
Solovyova, O.
2018
Comparison of Depolarization and Depolarization in Mathematical Models of the Left Ventricle and the Longitudinal Ventricular Slice
Bazhutina, A. E.
;
Khokhlova, A.
;
Ushenin, K. S.
;
Solovyova, O.
2021
The current role and prospects of electrophysiological research methods in ophthalmology. Literature review
Kazaykin, V. N.
;
Ponomarev, V. O.
;
Lizunov, A. V.
;
Zhdanov, A. E.
;
Dolganov, A. Y.
;
Borisov, V. I.
2018
Dynamical anchoring of distant arrhythmia sources by fibrotic regions via restructuring of the activation pattern
Vandersickel, N.
;
Watanabe, M.
;
Tao, Q.
;
Fostier, J.
;
Zeppenfeld, K.
;
Panfilov, A. V.
2020
The electrophysiological underpinnings of variation in verbal working memory capacity
Pavlov, Y. G.
;
Kotchoubey, B.
2023
Evaluation of the effectiveness of the decision support algorithm for physicians in retinal dystrophy using machine learning methods
Zhdanov, A. E.
;
Dolganov, A. Yu.
;
Zanca, D.
;
Borisov, V. I.
;
Luchian, E.
;
Dorosinsky, L. G.
2018
In Silico Comparison of Phase Maps Based on Action Potential and Extracellular Potential
Ushenin, K.
;
Razumov, A.
;
Kalinin, V.
;
Solovyova, O.
2023
The inter-chamber differences in the contractile function between left and right atrial cardiomyocytes in atrial fibrillation in rats
Butova, X.
;
Myachina, T.
;
Simonova, R.
;
Kochurova, A.
;
Mukhlynina, E.
;
Kopylova, G.
;
Shchepkin, D.
;
Khokhlova, A.
2019
The local repolarization heterogeneity in the murine pulmonary veins myocardium contributes to the spatial distribution of the adrenergically induced ectopic foci
Potekhina, V. M.
;
Averina, O. A.
;
Razumov, A. A.
;
Kuzmin, V. S.
;
Rozenshtraukh, L. V.
2021
Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data
Khamzin, S.
;
Dokuchaev, A.
;
Bazhutina, A.
;
Chumarnaya, T.
;
Zubarev, S.
;
Lyubimtseva, T.
;
Lebedeva, V.
;
Lebedev, D.
;
Gurev, V.
;
Solovyova, O.
2021
Mathematical modelling of the mechano-electric coupling in the human cardiomyocyte electrically connected with fibroblasts
Bazhutina, A.
;
Balakina-Vikulova, N. A.
;
Kursanov, A.
;
Solovyova, O.
;
Panfilov, A.
;
Katsnelson, L. B.
2018
Mechano-Electric Feedbacks in a New Model of the Excitation-Contraction Coupling in Human Cardiomyocytes
Balakina-Vikulova, N.
;
Solovyova, O.
;
Panfilov, A.
;
Katsnelson, L.
2012
Modeling of heterogeneity in electrical and mechanical properties of guinea pig ventricular myocytes
Vasilyeva, Anastasia
;
Solovyova, Olga
2018
New Mathematical Model of Electromechanical Coupling in Rat Cardiomyocytes
Katsnelson, L. B.
;
Konovalov, P.
;
Solovyova, O.
2023
OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms
Zhdanov, A.
;
Constable, P.
;
Manjur, S. M.
;
Dolganov, A.
;
Posada-Quintero, H. F.
;
Lizunov, A.
2023
Ophthalmic Bioengineering. Review
Ponomarev, V. O.
;
Zhdanov, A. E.
;
Luzhnov, P. V.
;
Davydova, I. D.
;
Iomdina, E. N.
;
Lizunov, A. V.
;
Dolganov, A. Yu.
;
Ivliev, S. A.
;
Znamenskaya, M. A.
;
Kazaykin, V. N.
;
Borisov, V. I.
;
Filatova, E. O.
2020
Overdrive pacing of spiral waves in a model of human ventricular tissue
Pravdin, S. F.
;
Epanchintsev, T. I.
;
Panfilov, A. V.
2020
Phase Mapping for Cardiac Unipolar Electrograms with Neural Network Instead of Phase Transformation
Ushenin, K.
;
Nesterova, T.
;
Smarko, D.
;
Sholokhov, V.
2019
Processing the results of electroencephalography for patients suffering from depression after neuro-electrostimulation course: Case study
Kublanov, V.
;
Dolganov, A.