AIMC Topic: Electroencephalography

Clear Filters Showing 1141 to 1150 of 2123 articles

CNN and LSTM-Based Emotion Charting Using Physiological Signals.

Sensors (Basel, Switzerland) Aug 14, 2020
Novel trends in affective computing are based on reliable sources of physiological signals such as Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin Response (GSR). The use of these signals provides challenges of performance impr...
Arousal Galvanic Skin Response Electrocardiography Emotions Electroencephalography Humans Neural Networks, Computer
View on PubMed DOI

Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network.

Sensors (Basel, Switzerland) Aug 11, 2020
As an important paradigm of spontaneous brain-computer interfaces (BCIs), motor imagery (MI) has been widely used in the fields of neurological rehabilitation and robot control. Recently, researchers have proposed various methods for feature extracti...
Humans Brain-Computer Interfaces Imagination Neural Networks, Computer Algorithms Electroencephalography
View on PubMed DOI

DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography.

Computational and mathematical methods in medicine Aug 8, 2020
In the past few decades, identification recognition based on electroencephalography (EEG) has received extensive attention to resolve the security problems of conventional biometric systems. In the present study, a novel EEG-based identification syst...
Signal Processing, Computer-Assisted Nonlinear Dynamics Biometric Identification Computational Biology Mathematical Concepts Emotions Electroencephalography Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Reliability and accuracy of EEG interpretation for estimating age in preterm infants.

Annals of clinical and translational neurology Aug 7, 2020
OBJECTIVES: To determine the accuracy of, and agreement among, EEG and aEEG readers' estimation of maturity and a novel computational measure of functional brain age (FBA) in preterm infants.
Humans Machine Learning Brain Diseases Diagnosis, Computer-Assisted Infant, Premature Predictive Value of Tests Brain Gestational Age Electroencephalography Neonatology Infant, Newborn Reproducibility of Results
View on PubMed DOI

Accurate detection of spontaneous seizures using a generalized linear model with external validation.

Epilepsia Aug 6, 2020
OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocritical care, epilepsy diagnosis and management, and the instantiation of novel therapies such as closed-loop stimulation or optogenetic control of seizur...
Disease Models, Animal Machine Learning Epilepsies, Partial Seizures Kainic Acid Reproducibility of Results Area Under Curve Signal Processing, Computer-Assisted Excitatory Amino Acid Agonists Electrocorticography Electroencephalography Linear Models Animals ROC Curve Rats
View on PubMed DOI

Research and Verification of Convolutional Neural Network Lightweight in BCI.

Computational and mathematical methods in medicine Aug 1, 2020
With the increasing of depth and complexity of the convolutional neural network, parameter dimensionality and volume of computing have greatly restricted its applications. Based on the SqueezeNet network structure, this study introduces a block convo...
Models, Neurological Data Compression Humans Algorithms Facial Expression Electroencephalography Neural Networks, Computer Brain-Computer Interfaces Databases, Factual Stochastic Processes Signal Processing, Computer-Assisted Deep Learning
View on PubMed DOI

An Epilepsy Detection Method Using Multiview Clustering Algorithm and Deep Features.

Computational and mathematical methods in medicine Aug 1, 2020
The automatic detection of epilepsy is essentially the classification of EEG signals of seizures and nonseizures, and its purpose is to distinguish the different characteristics of seizure brain electrical signals and normal brain electrical signals....
Electroencephalography Epilepsy Seizures Signal Processing, Computer-Assisted Deep Learning Cluster Analysis Algorithms Humans Unsupervised Machine Learning Neural Networks, Computer Brain Diagnosis, Computer-Assisted
View on PubMed DOI

Modified Support Vector Machine for Detecting Stress Level Using EEG Signals.

Computational intelligence and neuroscience Aug 1, 2020
Stress is categorized as a condition of mental strain or pressure approaches because of upsetting or requesting conditions. There are various sources of stress initiation. Researchers consider human cerebrum as the primary wellspring of stress. To st...
Humans Female Emotions Electroencephalography Middle Aged Young Adult Stress, Psychological Adult Support Vector Machine Male
View on PubMed DOI

Data augmentation for deep-learning-based electroencephalography.

Journal of neuroscience methods Jul 31, 2020
BACKGROUND: Data augmentation (DA) has recently been demonstrated to achieve considerable performance gains for deep learning (DL)-increased accuracy and stability and reduced overfitting. Some electroencephalography (EEG) tasks suffer from low sampl...
Brain-Computer Interfaces Humans Electroencephalography Seizures Machine Learning Deep Learning
View on PubMed DOI

Changes in functional connectivity after theta-burst transcranial magnetic stimulation for post-traumatic stress disorder: a machine-learning study.

European archives of psychiatry and clinical neuroscience Jul 27, 2020
Intermittent theta burst stimulation (iTBS) is a novel treatment approach for post-traumatic stress disorder (PTSD), and recent neuroimaging work indicates that functional connectivity profiles may be able to identify those most likely to respond. Ho...
Rest Dorsolateral Prefrontal Cortex Transcranial Magnetic Stimulation Theta Rhythm Stress Disorders, Post-Traumatic Support Vector Machine Electroencephalography Humans Reproducibility of Results
View on PubMed DOI
Popular Topics
Recent Journals