Seizures

Seizures

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

3,743 articles

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

Showing 1114-1134 of 3,743 articles

Emotion-Driven Analysis and Control of Human-Robot Interactions in Collaborative Applications.

The utilization of robotic systems has been increasing in the last decade. This increase has been de...

Jul 2021 PMID: 34300366

Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition.

Emotions composed of cognizant logical reactions toward various situations. Such mental responses st...

Jul 2021 PMID: 32735536

Artificial Intelligence Analysis of EEG Amplitude in Intensive Heart Care.

This article first studied the morphological characteristics of the EEG for intensive cardiac care; ...

Jul 2021 PMID: 34306595

A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG.

Autism spectrum disorder (ASD) is a developmental disability characterized by persistent impairments...

Jun 2021 PMID: 34170979

Universum based Lagrangian twin bounded support vector machine to classify EEG signals.

BACKGROUND AND OBJECTIVE: The detection of brain-related problems and neurological disorders like ep...

Jun 2021 PMID: 34216880

Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network.

The treatment of refractory epilepsy via closed-loop implantable devices that act on seizures either...

Jun 2021 PMID: 34201480

Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals.

The emergence of an aging society is inevitable due to the continued increases in life expectancy an...

Jun 2021 PMID: 34206540

Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer's disease, mild cognitive impairment and healthy ageing.

This study aimed to produce a novel deep learning (DL) model for the classification of subjects with...

Jun 2021 PMID: 34044374

Benefits of deep learning classification of continuous noninvasive brain-computer interface control.

. Noninvasive brain-computer interfaces (BCIs) assist paralyzed patients by providing access to the ...

Jun 2021 PMID: 34038873

Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals.

This paper proposes a novel method and algorithms for the design of MRI structured personalized 3D s...

Jun 2021 PMID: 34103545

Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG.

Currently there are no reliable means of identifying infants at-risk for later language disorders. I...

Jun 2021 PMID: 34111684

Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning.

Electroencephalogram (EEG)-based automated depression diagnosis systems have been suggested for earl...

Jun 2021 PMID: 34080925

Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.

Early diagnosis of attention deficit and hyperactivity disorder (ADHD) by experts is difficult. Some...

May 2021 PMID: 34043150

Neurology

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Emotion-Driven Analysis and Control of Human-Robot Interactions in Collaborative Applications.

Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition.

Artificial Intelligence Analysis of EEG Amplitude in Intensive Heart Care.

A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG.

Universum based Lagrangian twin bounded support vector machine to classify EEG signals.

Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network.

Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals.

Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer's disease, mild cognitive impairment and healthy ageing.

Benefits of deep learning classification of continuous noninvasive brain-computer interface control.

Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals.

Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG.

Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning.

Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.

Epileptic Seizures Detection Using Deep Learning Techniques: A Review.

Real-time, automatic, open-source sleep stage classification system using single EEG for mice.

Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning.

Expression-EEG Bimodal Fusion Emotion Recognition Method Based on Deep Learning.

Delayed brain development of Rolandic epilepsy profiled by deep learning-based neuroanatomic imaging.

A CNN identified by reinforcement learning-based optimization framework for EEG-based state evaluation.

EEG microstate features for schizophrenia classification.

Deep learning applied to electroencephalogram data in mental disorders: A systematic review.

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