Subject-independent emotion recognition of EEG signals based on dynamic empirical convolutional neural network
S Liu, X Wang, L Zhao, J Zhao, Q Xin… - … /ACM transactions on …, 2020 - ieeexplore.ieee.org
Affective computing is one of the key technologies to achieve advanced brain-machine
interfacing. It is increasingly concerning research orientation in the field of artificial …
interfacing. It is increasingly concerning research orientation in the field of artificial …
A neuronal population model based on cellular automata to simulate the electrical waves of the brain
Neural oscillations as synchronized activity of large numbers of neurons in the neural
ensembles have always been a hot topic of research for experimental and theoretical …
ensembles have always been a hot topic of research for experimental and theoretical …
Byte-Pair Encoding for classifying routine clinical electroencephalograms in adults over the lifespan
M Klymenko, SM Doesburg… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Routine clinical EEG is a standard test used for the neurological evaluation of patients. A
trained specialist interprets EEG recordings and classifies them into clinical categories …
trained specialist interprets EEG recordings and classifies them into clinical categories …
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder
Objective To develop a semi-unsupervised automatic sleep staging method capable of
detecting novel sleep patterns beyond standard sleep stages in the EEG, as may be seen in …
detecting novel sleep patterns beyond standard sleep stages in the EEG, as may be seen in …
The development of statistical methods for the diagnosis of neurological diseases based on multiparameter analysis of brain activity
VA Yunusov, SA Demin - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The application of data science for the analysis of biomedical data presented as time series
allows using new methods of analysis of living systems. Therefore, using these methods it …
allows using new methods of analysis of living systems. Therefore, using these methods it …
The influence of filters on EEG-ERP testing: analysis of motor cortex in healthy subjects
I Karpiel, Z Kurasz, R Kurasz, K Duch - Sensors, 2021 - mdpi.com
The raw EEG signal is always contaminated with many different artifacts, such as muscle
movements (electromyographic artifacts), eye blinking (electrooculographic artifacts) or …
movements (electromyographic artifacts), eye blinking (electrooculographic artifacts) or …