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 …

The detection of mental fatigue is an important issue in the nascent field of
neuroergonomics. Although machine learning approaches and especially deep learning …

This paper examines the predictability of driving events by passenger
electroencephalography (EEG) data using Morlet wavelets and Evoked Responses (ER). As …

We have developed a novel approach to elucidate several discriminating EEG features of
Alzheimer's disease. The approach is based on the use of a variety of continuous wavelet …

Results Patients with CP had slowed EEG rhythmicity compared with healthy volunteers.
This was evident as increased activity in the lower frequency bands δ (1–3.5 Hz)(P= 0.05), θ …

This paper presents a novel application of convolutional neural networks, classifying user
intent generated through motor imagery and signalled using EEG data, with the intent of …

In this work, the results of an analysis of the response of a near-resonant series resistance−
inductance− capacitance (RLC) electric circuit with time-dependent forcing frequency by …

Electroencephalogram (EEG) signals are known to contain signatures of stimuli that induce
brain activities. However, detecting these signatures to classify captured EEG waveforms is …

Meditation is a commonly adopted lifestyle practice for the associated benefits in increasing
mental and emotional wellbeing. Meditation can be described as a non-physical exercise of …

EEG-based Brain Computer Interfaces (BCIs) are quite noisy brain signals recorded from the
scalp (electroencephalography, EEG) to translate the user's intent into action. This is usually …