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 1954-1974 of 4,541 articles

A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform.

Automatic classification of sleep stages is one of the most important methods used for diagnostic pr...

Jan 2016 26787511

Probabilistic machine learning for the evaluation of presurgical language dominance.

OBJECTIVE Providing a reliable assessment of language lateralization is an important task to be perf...

Jan 2016 26722848

Risk factors of vitamin D deficiency in children with epilepsy taking anticonvulsants at initial and during follow-up.

PURPOSE: Vitamin D status was evaluated in children with epilepsy taking anticonvulsants to determin...

Dec 2015 26813609

A Case of Influenza Associated Fulminant Myocarditis Successfully Treated with Intravenous Peramivir.

We report the case of a patient with fulminant myocarditis caused by influenza A virus, who presente...

Dec 2015 26788413

Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.

Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to ...

Dec 2015 26798330

Liquid chromatography-tandem mass spectrometry method for simultaneous determination of valproic acid and its ene-metabolites in epilepsy patient plasma.

A simple and high throughput method was developed and validated for simultaneous determination of va...

Nov 2015 29403970

A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects.

UNLABELLED: This paper introduces a method utilizing spiking neural networks (SNN) for learning, cla...

Nov 2015 26625401

Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network.

This paper proposes a generalized prediction system called a recurrent self-evolving fuzzy neural ne...

Nov 2015 26595929

A novel fuzzy logic-based image steganography method to ensure medical data security.

This study aims to secure medical data by combining them into one file format using steganographic m...

Oct 2015 26555746

Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines.

A growing body of literature suggests that changes in consciousness are reflected in specific connec...

Oct 2015 26596551

Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders.

We developed a machine learning methodology for automatic sleep stage scoring. Our time-frequency an...

Oct 2015 26464268

EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks.

In order to build a reliable index to monitor the depth of anesthesia (DOA), many algorithms have be...

Sep 2015 26491464

Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsy.

BACKGROUND: This study sought to predict postsurgical seizure freedom from pre-operative diagnostic ...

Jun 2015 26149291

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A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform.

Probabilistic machine learning for the evaluation of presurgical language dominance.

Risk factors of vitamin D deficiency in children with epilepsy taking anticonvulsants at initial and during follow-up.

A Case of Influenza Associated Fulminant Myocarditis Successfully Treated with Intravenous Peramivir.

Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.

Liquid chromatography-tandem mass spectrometry method for simultaneous determination of valproic acid and its ene-metabolites in epilepsy patient plasma.

A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects.

Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network.

A novel fuzzy logic-based image steganography method to ensure medical data security.

Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines.

Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders.

EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks.

An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection.

Machine learning classification of mesial temporal sclerosis in epilepsy patients.

Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.

Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine.

Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification.

Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy.

Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning.

A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery.

Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsy.

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