A review on machine learning for EEG signal processing in bioengineering
Electroencephalography (EEG) has been a staple method for identifying certain health
conditions in patients since its discovery. Due to the many different types of classifiers …
conditions in patients since its discovery. Due to the many different types of classifiers …
[HTML][HTML] MILimbEEG: A dataset of EEG signals related to upper and lower limb execution of motor and motor imagery tasks
Biomedical Electroencephalography (EEG) signals are the result of measuring the electric
potential difference generated on the scalp surface by neural activity corresponding to each …
potential difference generated on the scalp surface by neural activity corresponding to each …
[HTML][HTML] An efficient AP-ANN-based multimethod fusion model to detect stress through EEG signal analysis
Stress is a universal emotion that every human experiences daily. Psychologists say stress
may lead to heart attack, depression, hypertension, strokes, or even sudden death. Many …
may lead to heart attack, depression, hypertension, strokes, or even sudden death. Many …
Eeg-based person identification using multi-verse optimizer as unsupervised clustering techniques
Recently, electroencephalogram (EEG) signal provides great potential for identification
systems. Many studies have shown that the EEG introduces unique, universal features and …
systems. Many studies have shown that the EEG introduces unique, universal features and …
Automatic Clustering of Students by Level of Situational Interest Based on Their EEG Features
The usage of physiological measures in detecting student's interest is often said to improve
the weakness of psychological measures by decreasing the susceptibility of subjective bias …
the weakness of psychological measures by decreasing the susceptibility of subjective bias …
Role of AI and AI-Derived Techniques in Brain and Behavior Computing
Human brains are full of neurons and nerve cells connected to each other through dendrites
and axons. These neurons and nerve cells are at work for every action and help brain in …
and axons. These neurons and nerve cells are at work for every action and help brain in …
[PDF][PDF] MILimbEEG: A Dataset of EEG Signals related to Upper and Lower Limb Execution of Motor and
Biomedical Electroencephalography (EEG) signals are the result of measuring the electric
potential difference generated on the scalp surface by neural activity corresponding to each …
potential difference generated on the scalp surface by neural activity corresponding to each …
SSVEP-EEG data collection using Emotiv EPOC
V Asanza - 2021 - ieee-dataport.org
The data acquisition process begins with capturing EEG signals from 20 healthy skilled
volunteers who gave their written consent before performing the experiments. Each …
volunteers who gave their written consent before performing the experiments. Each …