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Analysis of Multifractality of Various Components of the Electroencephalogram in Mental Disorders
AbstractThe wavelet transform modulus maxima (WTMM) method was used to comparatively analyze multifractality of various components of the...
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Resonance Scanning and Analysis of the Electroencephalogram in Determining the Maturity of Cortical Rhythms in Younger Schoolchildren
AbstractThe possibility of assessing the activity levels of resonance and adaptive mechanisms as well as mechanisms of neuroplasticity in...
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Neuro quantum computing based optoelectronic artificial intelligence in electroencephalogram signal analysis
With micrometre resolution, optical coherence tomography (OCT) is a noninvasive cross-sectional imaging method. The centre wavelength and bandwidth...
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An efficient epileptic seizure detection based on tunable Q-wavelet transform and DCVAE-stacked Bi-LSTM model using electroencephalogram
The recording and measurement of the electric events of the brain utilizing an electroencephalogram (EEG) has turned out to be a prominent equipment...
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Comparative Analysis of Interchannel Relationships on Electroencephalograms in Healthy People and Patients with Depression Using the Method of Correlation Ratios
AbstractDuring the study of patients with depression, an approach was applied to the clinical material based on the analysis of the...
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Classifier for Detecting Outliers in Epileptic Seizures
AbstractThe authors consider a classifier for detecting seizures on electroencephalogram records. The classifier is based on a one-class support...
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A novel SVMA and K-NN classifier based optical ML technique for seizure detection
Among the most common paroxysmal neurological conditions is epilepsy. When spontaneous combustion occurs seizure is a defining feature. An epileptic...
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Research on EEG emotion recognition based on CNN+BiLSTM+self-attention model
To address the problems of insufficient dimensionality of electroencephalogram (EEG) feature extraction, the tendency to ignore the importance of...
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Assessment and prevention of inattention and sleepiness during monotonous operator activity with underlying sleep deprivation
The aim of the study was to evaluate psychophysiological predictors of the quality of monotonous activity performance against the background of...
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Human Electroencephalogram-Controlled Effects of Photostimulation
AbstractThe assumption that rhythmic light stimulation may exhibit high biological efficiency when automatically modulated by a human...
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Characteristics of ceaselessly generable biological time series
In this study, the characteristics of biological signals were examined, and a biological time series was produced by making use of the...
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Explainable AI based wearable electronic optical data analysis with quantum photonics and quadrature amplitude neural computing
The electrocardiogram, electroencephalogram, blood pressure, temperature, etc. are only some of the physiological signals that may be monitored using...
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Analytic Representation vs. Angle Modulation of Hilbert Transform of Fast Walsh-Hadamard Coefficients (HTFWHC) in Epileptic EEG Classification
The demand for automation of epilepsy diagnosis from electroencephalogram (EEG) signals as an alternative to manual interpretation performed by a...
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A robust complexity measure for noisy EEG time series under dynamic transitions during anesthesia
Measuring complexity from noisy time series provides a crucial insight into the understanding and monitoring of pattern dynamics of complex dynamical...
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Automatic classification of seizure and seizure-free EEG signals based on phase space reconstruction features
Epilepsy is a type of brain disorder triggered by an abrupt electrical imbalance of neuronal networks. An electroencephalogram (EEG) is a diagnostic...
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COGITO in Space
COGITO in Space is an experiential narrative based on sending thoughts into outer space as radio waves. The project exists both as a mobile...
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A Hardware–Software Complex for Diagnostics of a Human Being’s Psychophysiological State during the Solution of Cognitive Tasks
AbstractThe psychological state of a person can change under conditions of cognitive load. Excessive cognitive load can lead to distress, which...
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Predicting Epileptic Seizures—An Update
Lehnertz, KlausEpilepsyEpilepsy is a malfunction of the brain that affects about 0.8% of the world population. Epileptic seizures are the cardinal...
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Perception of monotonic load: different types of microsleep tolerance
Our study aims to clarify the mechanisms of successful microsleep tolerance that accompanies the monotonous solving of simple cognitive tasks. On the...
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Multistability in Perception
Multistability exists not only in mathematical models, but also in complex biological systems, such as the brain. We can easily confirm that our...