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Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control., , , и . SMC, стр. 511-514. IEEE, (2018)Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification., , , , , и . Inf. Sci., (2019)Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms., , , , , , и . Inf. Sci., (2018)Finite element analysis for normal pressure hydrocephalus: The effects of the integration of sulci., , , , , , , и . Medical Image Anal., 24 (1): 235-244 (2015)Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping., , , , , и . BCI, стр. 1-4. IEEE, (2019)Classification of computed tomography scanner manufacturer using support vector machine., , , и . BCI, стр. 85-87. IEEE, (2017)Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block., , , и . BCI, стр. 1-5. IEEE, (2020)Estimation on the development of cerebral edema from computed tomography preliminary studies for pediatric traumatic brain injury patients., , и . BCI, стр. 69-71. IEEE, (2013)Morphological landmark detection in arterial blood pressure and intracranial pressure: Preliminary procedures for intracranial pressure waveform analysis., , , , , , и . BCI, стр. 1-3. IEEE, (2015)Robust arterial blood pressure onset detection method from signal artifacts., , , и . BCI, стр. 1-3. IEEE, (2018)