Neurology

Seizures

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

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WeDea: A New EEG-Based Framework for Emotion Recognition.

With the development of sensing technologies and machine learning, techniques that can identify emot...

Jan 2022 34156955
Electroclinical spectrum of generalized paroxysmal fast activity in adults without epileptic encephalopathy.

INTRODUCTION: Generalized paroxysmal fast activity (GPFA) is a rare and underreported EEG pattern kn...

Jan 2022 35034232
Enhanced Recognition of Amputated Wrist and Hand Movements by Deep Learning Method Using Multimodal Fusion of Electromyography and Electroencephalography.

Motion classification can be performed using biometric signals recorded by electroencephalography (E...

Jan 2022 35062641
Deep learning of early brain imaging to predict post-arrest electroencephalography.

INTRODUCTION: Guidelines recommend use of computerized tomography (CT) and electroencephalography (E...

Jan 2022 35041875
Fine motor impairment in children with epilepsy: Relations with seizure severity and lateralizing value.

Motor skill deficits are common in epilepsy. The Grooved Pegboard Test (GPT) is the most commonly us...

Jan 2022 35016052
Dynamic training of a novelty classifier algorithm for real-time detection of early seizure onset.

OBJECTIVE: To develop an adaptive framework for seizure detection in real-time that is practical to ...

Jan 2022 35065325
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface.

Brain-computer interface (BCI) aims to establish communication paths between the brain processes and...

Jan 2022 34920443
Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features.

This paper puts forward a new method of landscape recognition and evaluation by using aerial video a...

Jan 2022 35055457
Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG.

This study applies adaptive mixture independent component analysis (AMICA) to learn a set of ICA mod...

Jan 2022 34998969
A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification.

Automatic high-level feature extraction has become a possibility with the advancement of deep learni...

Jan 2022 35049650
Deep learning reveals personalized spatial spectral abnormalities of high delta and low alpha bands in EEG of patients with early Parkinson's disease.

Parkinson's disease (PD) is one of the most common neurodegenerative diseases, and early diagnosis i...

Dec 2021 34875634
Decoding Color Visual Working Memory from EEG Signals Using Graph Convolutional Neural Networks.

Color has an important role in object recognition and visual working memory (VWM). Decoding color VW...

Dec 2021 34895115
Radiological identification of temporal lobe epilepsy using artificial intelligence: a feasibility study.

Temporal lobe epilepsy is associated with MRI findings reflecting underlying mesial temporal scleros...

Dec 2021 35243343
Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment.

Electroencephalogram (EEG)-based quantitative pain measurement is valuable in the field of clinical ...

Nov 2021 34843893
LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals.

Electroencephalography (EEG) signals collected from human brains have generally been used to diagnos...

Nov 2021 35847545
A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals.

This study presents a method with high accuracy performance that aims to automatically detect schizo...

Nov 2021 34822131
Study on Horizon Scanning with a Focus on the Development of AI-Based Medical Products: Citation Network Analysis.

Horizon scanning for innovative technologies that might be applied to medical products and requires ...

Nov 2021 34811711
An adversarial discriminative temporal convolutional network for EEG-based cross-domain emotion recognition.

Domain adaptation (DA) tackles the problem where data from the source domain and target domain have ...

Nov 2021 34838262
Deep learning-based diagnosis of temporal lobe epilepsy associated with hippocampal sclerosis: An MRI study.

PURPOSE: The currently available indicators-sensitivity and specificity of expert radiological evalu...

Nov 2021 34837826
DNA methylation-based classification of malformations of cortical development in the human brain.

Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions fr...

Nov 2021 34797422
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