Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Wavelet analysis in neurodynamics
AN Pavlov, AE Hramov, AA Koronovskii… - Physics …, 2012 - iopscience.iop.org
Results obtained using continuous and discrete wavelet transforms as applied to problems
in neurodynamics are reviewed, with the emphasis on the potential of wavelet analysis for …
in neurodynamics are reviewed, with the emphasis on the potential of wavelet analysis for …
A multivariate approach for patient-specific EEG seizure detection using empirical wavelet transform
A Bhattacharyya, RB Pachori - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Objective: This paper investigates the multivariate oscillatory nature of
electroencephalogram (EEG) signals in adaptive frequency scales for epileptic seizure …
electroencephalogram (EEG) signals in adaptive frequency scales for epileptic seizure …
[BOOK][B] Wavelets in neuroscience
Alexander E. Hramov · Alexey A. Koronovskii · Valeri A. Makarov · Vladimir A. Maksimenko ·
Alexey N. Pavlov Page 1 Springer Series in Synergetics Alexander E. Hramov · Alexey A …
Alexey N. Pavlov Page 1 Springer Series in Synergetics Alexander E. Hramov · Alexey A …
[HTML][HTML] From novel technology to novel applications: Comment on “An integrated brain-machine interface platform with thousands of channels” by Elon Musk and …
The first attempts to translate neuronal activity into commands to control external devices
were made in monkeys yet in 1960s [1]. After that, during 1960-1970, the biological …
were made in monkeys yet in 1960s [1]. After that, during 1960-1970, the biological …
Statistical properties and predictability of extreme epileptic events
The use of extreme events theory for the analysis of spontaneous epileptic brain activity is a
relevant multidisciplinary problem. It allows deeper understanding of pathological brain …
relevant multidisciplinary problem. It allows deeper understanding of pathological brain …
Absence seizure control by a brain computer interface
VA Maksimenko, S Van Heukelum, VV Makarov… - Scientific Reports, 2017 - nature.com
The ultimate goal of epileptology is the complete abolishment of epileptic seizures. This
might be achieved by a system that predicts seizure onset combined with a system that …
might be achieved by a system that predicts seizure onset combined with a system that …
Classifying the perceptual interpretations of a bistable image using EEG and artificial neural networks
AE Hramov, VA Maksimenko, SV Pchelintseva… - Frontiers in …, 2017 - frontiersin.org
In order to classify different human brain states related to visual perception of ambiguous
images, we use an artificial neural network (ANN) to analyze multichannel EEG. The …
images, we use an artificial neural network (ANN) to analyze multichannel EEG. The …
Deep learning for robust detection of interictal epileptiform discharges
D Geng, A Alkhachroum, MAM Bicchi… - Journal of neural …, 2021 - iopscience.iop.org
Objective. Automatic detection of interictal epileptiform discharges (IEDs, short as' spikes')
from an epileptic brain can help predict seizure recurrence and support the diagnosis of …
from an epileptic brain can help predict seizure recurrence and support the diagnosis of …
Methods of automated absence seizure detection, interference by stimulation, and possibilities for prediction in genetic absence models
G van Luijtelaar, A Lüttjohann, VV Makarov… - Journal of neuroscience …, 2016 - Elsevier
Background Genetic rat models for childhood absence epilepsy have become instrumental
in develo** theories on the origin of absence epilepsy, the evaluation of new and …
in develo** theories on the origin of absence epilepsy, the evaluation of new and …