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 1576-1596 of 4,533 articles

EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.

Transfer learning enables the adaption of models to handle mismatches of distributions across sessio...

May 2020 32394192

Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis.

OBJECTIVE: Digital media conversations can provide important insight into the concerns and struggles...

May 2020 32383797

Cross-Subject Seizure Detection in EEGs Using Deep Transfer Learning.

Electroencephalography (EEG) plays an import role in monitoring the brain activities of patients wit...

May 2020 32454884

Time-resolved correspondences between deep neural network layers and EEG measurements in object processing.

The ventral visual stream is known to be organized hierarchically, where early visual areas processi...

May 2020 32388211

Analyzing the Effectiveness of the Brain-Computer Interface for Task Discerning Based on Machine Learning.

The aim of the study is to compare electroencephalographic (EEG) signal feature extraction methods i...

Apr 2020 32340276

A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.

BACKGROUND: Generally, brain-computer interfaces (BCIs) require calibration before usage to ensure e...

Apr 2020 32299441

A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals.

The detection of recorded epileptic seizure activity in electroencephalogram (EEG) segments is cruci...

Apr 2020 32328157

Multivariate patterns of EEG microstate parameters and their role in the discrimination of patients with schizophrenia from healthy controls.

Quasi-stable electrical fields in the EEG, called microstates carry information on the dynamics of l...

Apr 2020 32315875

Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice.

Due to the difficulties and complications in the quantitative assessment of traumatic brain injury (...

Apr 2020 32260320

An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard.

OBJECTIVE: To validate an artificial intelligence-based computer algorithm for detection of epilepti...

Apr 2020 32299000

EEG based Classification of Long-term Stress Using Psychological Labeling.

Stress research is a rapidly emerging area in the field of electroencephalography (EEG) signal proce...

Mar 2020 32235295

A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome.

PURPOSE: The 2017 epilepsy and seizure diagnosis framework emphasizes epilepsy syndromes and the eti...

Mar 2020 32224446

Latent Phase Identification of High-Frequency Micro-Scale Gamma Spike Transients in the Hypoxic Ischemic EEG of Preterm Fetal Sheep Using Spectral Analysis and Fuzzy Classifiers.

Premature babies are at high risk of serious neurodevelopmental disabilities, which in many cases ar...

Mar 2020 32150987

Neurology

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EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.

Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis.

Cross-Subject Seizure Detection in EEGs Using Deep Transfer Learning.

Time-resolved correspondences between deep neural network layers and EEG measurements in object processing.

Analyzing the Effectiveness of the Brain-Computer Interface for Task Discerning Based on Machine Learning.

A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.

A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals.

Multivariate patterns of EEG microstate parameters and their role in the discrimination of patients with schizophrenia from healthy controls.

Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice.

An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard.

EEG based Classification of Long-term Stress Using Psychological Labeling.

A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome.

Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals.

Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals.

Automatic Seizure Detection using Fully Convolutional Nested LSTM.

Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback.

Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography.

Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces.

An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding.

Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.

Latent Phase Identification of High-Frequency Micro-Scale Gamma Spike Transients in the Hypoxic Ischemic EEG of Preterm Fetal Sheep Using Spectral Analysis and Fuzzy Classifiers.

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