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 1618-1638 of 4,541 articles

Machine learning validation of EEG+tACS artefact removal.

OBJECTIVE: Electroencephalography (EEG) recorded during transcranial alternating current simulation ...

Jan 2020 31739290

Identifying epilepsy psychiatric comorbidities with machine learning.

OBJECTIVE: People with epilepsy are at increased risk for mental health comorbidities. Machine-learn...

Jan 2020 31889296

Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review.

Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit sensorimotor rhy...

Jan 2020 32038208

An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.

In this paper, we investigate various machine learning classifiers used in our Virtual Reality (VR) ...

Jan 2020 31952289

EEG-Controlled Wall-Crawling Cleaning Robot Using SSVEP-Based Brain-Computer Interface.

The assistive, adaptive, and rehabilitative applications of EEG-based robot control and navigation a...

Jan 2020 32399166

Comparison of different input modalities and network structures for deep learning-based seizure detection.

The manual review of an electroencephalogram (EEG) for seizure detection is a laborious and error-pr...

Jan 2020 31924842

Assessing various sensorimotor and cognitive functions in people with epilepsy is feasible with robotics.

BACKGROUND: Epilepsy is a common neurological disorder characterized by recurrent seizures, along wi...

Jan 2020 31918991

HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification.

OBJECTIVE: Electroencephalography (EEG) motor imagery classification has been widely used in healthc...

Jan 2020 31476743

Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue.

OBJECTIVE: Electroencephalogram (EEG) signals are non-stationary. This could be due to internal fluc...

Jan 2020 31683268

Interpreting neural decoding models using grouped model reliance.

Machine learning algorithms are becoming increasingly popular for decoding psychological constructs ...

Jan 2020 31905373

A novel method of motor imagery classification using eeg signal.

A subject of extensive research interest in the Brain Computer Interfaces (BCIs) niche is motor imag...

Dec 2019 32143794

Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.

The identification of sleep stages is essential in the diagnostics of sleep disorders, among which o...

Dec 2019 31869808

EEG-based image classification via a region-level stacked bi-directional deep learning framework.

BACKGROUND: As a physiological signal, EEG data cannot be subjectively changed or hidden. Compared w...

Dec 2019 31856818

A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.

Electroencephalographic (EEG) recordings generate an electrical map of the human brain that are usef...

Dec 2019 31884180

Y-Site Compatibility of Intravenous Levetiracetam With Commonly Used Critical Care Medications.

Levetiracetam is an antiepileptic medication commonly used in critical care areas for seizure treat...

Dec 2019 34381262

Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.

Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a per...

Dec 2019 31834531

A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.

Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance e...

Dec 2019 31877443

Perspectives on the current developments with neuromodulation for the treatment of epilepsy.

: As deep brain stimulation revolutionized the treatment of movement disorders in the late 80s, neur...

Dec 2019 31815564

Robot-assisted versus manual navigated stereoelectroencephalography in adult medically-refractory epilepsy patients.

OBJECTIVE: Stereoelectroencephalography (SEEG) has experienced a recent growth in adoption for epile...

Dec 2019 31855826

Machine learning: assessing neurovascular signals in the prefrontal cortex with non-invasive bimodal electro-optical neuroimaging in opiate addiction.

Chronic and recurrent opiate use injuries brain tissue and cause serious pathophysiological changes ...

Dec 2019 31797878

Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study.

Electroencephalography (EEG) has relatively poor spatial resolution and may yield incorrect brain dy...

Dec 2019 31816868

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