Seizures

Seizures

Latest AI and machine learning research in seizures for healthcare professionals.

4,533 articles

Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 1534-1554 of 4,533 articles

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

As an important paradigm of spontaneous brain-computer interfaces (BCIs), motor imagery (MI) has bee...

Aug 2020 32796607

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

In the past few decades, identification recognition based on electroencephalography (EEG) has receiv...

Aug 2020 32849910

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

OBJECTIVES: To determine the accuracy of, and agreement among, EEG and aEEG readers' estimation of m...

Aug 2020 32767645

Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic charact...

Aug 2020 32767763

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

OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocriti...

Aug 2020 32761902

An Automatic Epilepsy Detection Method Based on Improved Inductive Transfer Learning.

Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons, causing transien...

Aug 2020 32831900

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

Stress is categorized as a condition of mental strain or pressure approaches because of upsetting or...

Aug 2020 32802030

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

The automatic detection of epilepsy is essentially the classification of EEG signals of seizures and...

Aug 2020 32802149

Data augmentation for deep-learning-based electroencephalography.

BACKGROUND: Data augmentation (DA) has recently been demonstrated to achieve considerable performanc...

Jul 2020 32745492

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

Intermittent theta burst stimulation (iTBS) is a novel treatment approach for post-traumatic stress ...

Jul 2020 32719969

Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach.

Deep learning techniques have recently made considerable advances in the field of artificial intelli...

Jul 2020 33854642

Machine learning and wearable devices of the future.

Machine learning (ML) is increasingly recognized as a useful tool in healthcare applications, includ...

Jul 2020 32712958

Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network.

EEG pattern recognition is an important part of motor imagery- (MI-) based brain computer interface ...

Jul 2020 32765639

Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.

Both labeled and unlabeled data have been widely used in electroencephalographic (EEG)-based brain-c...

Jul 2020 32676841

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network.

OBJECTIVE: Mobile Brain/Body Imaging (MoBI) frameworks allowed the research community to find eviden...

Jul 2020 32480381

Development and Validation of Forecasting Next Reported Seizure Using e-Diaries.

OBJECTIVE: There are no validated methods for predicting the timing of seizures. Using machine learn...

Jul 2020 32567720

Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals.

Electroencephalogram (EEG) signals accumulate the brain's spiking activities using standardized elec...

Jun 2020 32650152

F-FDG PET-guided diffusion tractography reveals white matter abnormalities around the epileptic focus in medically refractory epilepsy: implications for epilepsy surgical evaluation.

BACKGROUND: Hybrid PET/MRI can non-invasively improve localization and delineation of the epileptic ...

Jun 2020 34191151

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification.

Classifiers that can be implemented on chip with minimal computational and memory resources are esse...

Jun 2020 32746347

Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network.

Emotion recognition plays an important role in the field of human-computer interaction (HCI). An ele...

Jun 2020 32575708

Convolutional neural network for detection and classification of seizures in clinical data.

Epileptic seizure detection and classification in clinical electroencephalogram data still is a chal...

Jun 2020 32533511

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