Comparison of machine learning methods for the arterial hypertension diagnostics VS Kublanov, AY Dolganov, D Belo, H Gamboa Applied bionics and biomechanics 2017, 2017 | 44 | 2017 |
Development of a decision support system for neuro-electrostimulation: Diagnosing disorders of the cardiovascular system and evaluation of the treatment efficiency V Kublanov, A Dolganov Applied Soft Computing 77, 329-343, 2019 | 15 | 2019 |
OculusGraphy: Literature review on electrophysiological research methods in ophthalmology and electroretinograms processing using wavelet transform AE Zhdanov, AY Dolganov, VN Kazajkin, VO Ponomarev, AV Lizunov, ... 2020 International Conference on e-Health and Bioengineering (EHB), 1-6, 2020 | 14 | 2020 |
Investigation of the neuro-electrostimulation mechanisms by means of the functional MRI: Case study V Kublanov, L Aftanas, T Petrenko, K Danilenko, R Maria, A Efimtcev, ... SciTePress, 2018 | 10 | 2018 |
OculusGraphy: Filtering of electroretinography response in adults AE Zhdanov, VI Borisov, AY Dolganov, E Lucian, X Bao, VN Kazaijkin 2021 IEEE 22nd International Conference of Young Professionals in Electron …, 2021 | 9 | 2021 |
Towards a decision support system for disorders of the cardiovascular system diagnosing and evaluation of the treatment efficiency A Dolganov, V Kublanov SciTePress, 2018 | 9 | 2018 |
The interface between the brain microwave radiation and autonomic nervous system VS Kublanov, VI Borisov, AY Dolganov 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 922-925, 2015 | 9 | 2015 |
Diagnostics of the arterial hypertension by means of the discriminant analysis analysis of the heart rate variability signals features combinations V Kublanov, A Dolganov, Y Kazakov SciTePress, 2017 | 8 | 2017 |
Classification of the physical training level by heart rate variability and stabilography data VS Kublanov, DR Yamaliev, AY Dolganov, EA Goncharova 2017 Siberian Symposium on Data Science and Engineering (SSDSE), 49-54, 2017 | 7 | 2017 |
Application of the discriminant analysis for diagnostics of the arterial hypertension-analysis of short-term heart rate variability signals V Kublanov, A Dolganov, V Borisov International Congress on Neurotechnology, Electronics and Informatics 2, 45-52, 2016 | 7 | 2016 |
Advanced Analysis of Electroretinograms Based on Wavelet Scalogram Processing A Zhdanov, A Dolganov, D Zanca, V Borisov, M Ronkin Applied Sciences 12 (23), 12365, 2022 | 6 | 2022 |
OculusGraphy: Norms for electroretinogram signals AE Zhdanov, VI Borisov, AY Dolganov, E Lucian, X Bao, VN Kazaijkin 2021 IEEE 22nd International Conference of Young Professionals in Electron …, 2021 | 6 | 2021 |
Oculusgraphy: Ocular examination for toxicity evaluation based on biomedical signals AE Zhdanov, L Evdochim, X Bao, AY Dolganov, VI Borisov, VN Kazajkin, ... 2020 International Conference on e-Health and Bioengineering (EHB), 1-6, 2020 | 5 | 2020 |
Storage of Biomedical Signals: Comparative Review of Formats and Databases J Rodrigues, H Gamboa, V Kublanov, A Dolganov 2019 International Multi-Conference on Engineering, Computer and Information …, 2019 | 5 | 2019 |
Summary processing of Radiophysical complex MRTHR signals multifractal analisys of the brain microwave radiation and heart rate variability V Kublanov, V Borisov, A Dolganov SciTePress, 2016 | 5 | 2016 |
Application of multifractal formalism in study of the role of autonomic regulation in formation of intrinsic electromagnetic radiation of the brain VS Kublanov, VI Borisov, AY Dolganov Biomedical Engineering 50 (1), 30-35, 2016 | 4 | 2016 |
Применение мультифрактального формализма при исследовании роли вегетативной регуляции в формировании собственного электромагнитного излучения головного мозга ВС Кубланов, В Борисов, АЮ Долганов Медицинская техника, 21-24, 2016 | 4 | 2016 |
OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms A Zhdanov, P Constable, SM Manjur, A Dolganov, HF Posada-Quintero, ... Bioengineering 10 (6), 708, 2023 | 3 | 2023 |
Evaluation of the effectiveness of the decision support algorithm for physicians in retinal dystrophy using machine learning methods AE Zhdanov, AY Dolganov, D Zanca, VI Borisov, E Lucian, ... Comput. Opt 42, 272-277, 2023 | 3 | 2023 |
Application of the evolutionary programming for indirect evaluation of blood pressure based on heart rate variability parameters A Dolganov 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and …, 2020 | 3 | 2020 |