Seizures

Seizures

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

4,541 articles

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

Showing 1744-1764 of 4,541 articles

Sleep staging from single-channel EEG with multi-scale feature and contextual information.

PURPOSE: Portable sleep monitoring devices with less-attached sensors and high-accuracy sleep stagin...

Mar 2019 30863994

Learning joint space-time-frequency features for EEG decoding on small labeled data.

Brain-computer interfaces (BCIs), which control external equipment using cerebral activity, have rec...

Mar 2019 30897519

Early Alzheimer's disease diagnosis based on EEG spectral images using deep learning.

Early diagnosis of Alzheimer's disease (AD) is a proceeding hot issue along with a sharp upward tren...

Mar 2019 30903945

Portable brain-computer interface based on novel convolutional neural network.

Electroencephalography (EEG) is a powerful, noninvasive tool that provides a high temporal resolutio...

Mar 2019 30856388

Deep learning for electroencephalogram (EEG) classification tasks: a review.

OBJECTIVE: Electroencephalography (EEG) analysis has been an important tool in neuroscience with app...

Feb 2019 30808014

EEG-based mild depression recognition using convolutional neural network.

Electroencephalography (EEG)-based studies focus on depression recognition using data mining methods...

Feb 2019 30778842

Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.

In motor imagery (MI) based brain-computer interface (BCI) signal analysis, mu and beta rhythms of e...

Feb 2019 30802693

Design and Implementation of a Novel Subject-Specific Neurofeedback Evaluation and Treatment System.

Electroencephalography (EEG)-based neurofeedback (NF) is a safe, non-invasive, non-painful method fo...

Feb 2019 30771136

Machine learning identifies "rsfMRI epilepsy networks" in temporal lobe epilepsy.

OBJECTIVES: Experimental models have provided compelling evidence for the existence of neural networ...

Feb 2019 30734849

Machine learning for MEG during speech tasks.

We consider whether a deep neural network trained with raw MEG data can be used to predict the age o...

Feb 2019 30733596

Potential EEG biomarkers of sedation doses in intensive care patients unveiled by using a machine learning approach.

OBJECTIVE: Sedation of neurocritically ill patients is one of the most challenging situation in ICUs...

Jan 2019 30703765

Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images.

We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG p...

Jan 2019 30711680

Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals.

Automated evaluation of a subject's neurocognitive performance (NCP) is a relevant topic in neurolog...

Jan 2019 30685634

Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.

Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However...

Jan 2019 30692945

Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot.

BACKGROUND: Previous automated EEG-based diagnosis of autism spectrum disorders (ASD) using various ...

Jan 2019 30641159

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