Seizures

Seizures

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

4,533 articles

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

Showing 1555-1575 of 4,533 articles

Auditory attention tracking states in a cocktail party environment can be decoded by deep convolutional neural networks.

OBJECTIVE: A deep convolutional neural network (CNN) is a method for deep learning (DL). It has a po...

Jun 2020 32403093

EEG-Brain Activity Monitoring and Predictive Analysis of Signals Using Artificial Neural Networks.

Predictive observation and real-time analysis of the values of biomedical signals and automatic dete...

Jun 2020 32545622

Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off.

Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome reco...

Jun 2020 32525885

Machine-learning-based diagnostics of EEG pathology.

Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be cate...

Jun 2020 32534126

Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.

Diagnosis of learning difficulties is a challenging goal. There are huge number of factors involved ...

Jun 2020 32496139

Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach.

The human brain is characterized by complex structural, functional connections that integrate unique...

Jun 2020 32491928

Single-Trial EEG Responses Classified Using Latency Features.

Covert attention has been repeatedly shown to impact on EEG responses after single and repeated prac...

Jun 2020 32486921

Emotion recognition with convolutional neural network and EEG-based EFDMs.

Electroencephalogram (EEG), as a direct response to brain activity, can be used to detect mental sta...

Jun 2020 32497532

Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination.

Convolutional neural networks (CNNs) are emerging as powerful tools for EEG decoding: these techniqu...

May 2020 32502798

Classifying creativity: Applying machine learning techniques to divergent thinking EEG data.

Prior research has shown that greater EEG alpha power (8-13 Hz) is characteristic of more creative ...

May 2020 32474083

A Real-Time Depth of Anesthesia Monitoring System Based on Deep Neural Network With Large EDO Tolerant EEG Analog Front-End.

In this article, we present a real-time electroencephalogram (EEG) based depth of anesthesia (DoA) m...

May 2020 32746339

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.

The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of...

May 2020 32466692

Pilot study: can machine learning analyses of movement discriminate between leg movements in sleep (LMS) with vs. without cortical arousals?

PURPOSE: Clinical and animal studies indicate frequent small micro-arousals (McA) fragment sleep lea...

May 2020 32451761

Real-time Inference and Detection of Disruptive EEG Networks for Epileptic Seizures.

Recent studies in brain science and neurological medicine paid a particular attention to develop mac...

May 2020 32457378

Detection of Depression and Scaling of Severity Using Six Channel EEG Data.

Depression is a psychiatric problem which affects the growth of a person, like how a person thinks, ...

May 2020 32435986

Psychosocial profiles and their predictors in epilepsy using patient-reported outcomes and machine learning.

OBJECTIVE: To apply unsupervised machine learning to patient-reported outcomes to identify clusters ...

May 2020 34080185

An improved common spatial pattern combined with channel-selection strategy for electroencephalography-based emotion recognition.

Emotional human-computer interaction (HCI) has become an important research area in the fields of ar...

May 2020 32475767

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