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 1660-1680 of 4,541 articles

Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.

BACKGROUND AND OBJECTIVE: In recent years, several automatic sleep stage classification methods base...

Sep 2019 31586788

Seizure Prediction in Scalp EEG Using 3D Convolutional Neural Networks With an Image-Based Approach.

Epileptic seizures occur as a result of a process that develops over time and space in epileptic net...

Sep 2019 31562096

EEG-based single-channel authentication systems with optimum electrode placement for different mental activities.

BACKGROUND: Electroencephalogram (EEG) signals of a brain contain a unique pattern for each person a...

Sep 2019 31627868

A zero-shot learning approach to the development of brain-computer interfaces for image retrieval.

Brain decoding-the process of inferring a person's momentary cognitive state from their brain activi...

Sep 2019 31525201

Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection.

Epilepsy is a neurological illness caused by abnormal discharge of brain neurons, where epileptic se...

Sep 2019 31514144

Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks.

There is an essential requirement to support people with speech and communication disabilities. A br...

Sep 2019 31568896

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification.

Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and fa...

Sep 2019 31611912

Automatic detection of epileptic seizure based on approximate entropy, recurrence quantiﬁcation analysis and convolutional neural networks.

Epilepsy is the most common neurological disorder in humans. Electroencephalogram is a prevalent too...

Sep 2019 31980085

Nonconvulsive epileptic seizure monitoring with incremental learning.

Nonconvulsive epileptic seizures (NCSz) and nonconvulsive status epilepticus (NCSE) are two neurolog...

Sep 2019 31561098

World's fastest brain-computer interface: Combining EEG2Code with deep learning.

We present a novel approach based on deep learning for decoding sensory information from non-invasiv...

Sep 2019 31490999

Bursts with High and Low Load of Epileptiform Spikes Show Context-Dependent Correlations in Epileptic Mice.

Hypersynchronous network activity is the defining hallmark of epilepsy and manifests in a wide spect...

Sep 2019 31420348

Machine learning applications in epilepsy.

Machine learning leverages statistical and computer science principles to develop algorithms capable...

Sep 2019 31478577

Multi optimized SVM classifiers for motor imagery left and right hand movement identification.

EEG signal can be a good alternative for disabled persons who cannot perform actions or perform them...

Aug 2019 31485883

A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification.

One of the challenges in motor imagery (MI) classification tasks is finding an easy-handled electroe...

Aug 2019 31478864

Connectomic Profiling Identifies Responders to Vagus Nerve Stimulation.

OBJECTIVE: Vagus nerve stimulation (VNS) is a common treatment for medically intractable epilepsy, b...

Aug 2019 31393626

Active deep learning for the identification of concepts and relations in electroencephalography reports.

The identification of medical concepts, their attributes and the relations between concepts in a lar...

Aug 2019 31470094

Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whe...

Aug 2019 31441044

Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies.

Patients suffering from epileptic seizures are usually treated with medication and/or surgical proce...

Aug 2019 31479850

Deep learning-based electroencephalography analysis: a systematic review.

CONTEXT: Electroencephalography (EEG) is a complex signal and can require several years of training,...

Aug 2019 31151119

Early prediction of epileptic seizures using a long-term recurrent convolutional network.

BACKGROUND: A seizure prediction system can detect seizures prior to their occurrence and allow clin...

Aug 2019 31408651

Constructing a Personalized Cross-Day EEG-Based Emotion-Classification Model Using Transfer Learning.

State-of-the-art electroencephalogram (EEG)-based emotion-classification works indicate that a perso...

Aug 2019 31403448

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