Neurology

Seizures

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

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An EEG-based brain-computer interface for real-time multi-task robotic control.

The Brain Computer Interface (BCI) is the communication between the human brain and the computer. El...

Jul 2023 38082620
Real-Time Epileptic Seizure Detection Based on Deep Learning.

Epilepsy is one of the most common neurological diseases, and video EEG is the most commonly used ex...

Jul 2023 38082823
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network.

Motor kinematics decoding (MKD) using brain signal is essential to develop Brain-computer interface ...

Jul 2023 38082886
2D Wavelet-Scalogram Deep-Learning for Seizures Pattern Identification in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep.

Neonatal seizures after an hypoxic-ischemic (HI) event in preterm newborns can contribute to neural ...

Jul 2023 38082957
Primary color decoding using deep learning on source reconstructed EEG signal responses.

The brain's response to visual stimuli of different colors might be used in a brain-computer interfa...

Jul 2023 38083049
Classification of Mental Stress Levels using EEG Connectivity and Convolutional Neural Networks.

Classifying mental stress is important as it helps in identifying the type and severity of stress, w...

Jul 2023 38083224
EEG Epileptic Data Classification Using the Schrodinger Operator's Spectrum.

Epilepsy is a common brain disorder characterized by recurrent, unprovoked seizures which affects ov...

Jul 2023 38083329
SleepSIM: Conditional GAN-based non-REM sleep EEG Signal Generator.

Synthetic data generation has become increasingly popular with the increasing use of generative netw...

Jul 2023 38083563
Deep Depression Detection with Resting-State and Cognitive-Task EEG.

Depression is a common mental disorder that negatively affects physical health and personal, social ...

Jul 2023 38083722
Error-related Potentials in a Virtual Pick-and-Place Experiment: Toward Real-world Shared-control.

In Human-Robot Collaboration setting a robot may be controlled by a user directly or through a Brain...

Jul 2023 38083754
Modulating hierarchical learning by high-definition transcranial alternating current stimulation at theta frequency.

Considerable evidence highlights the dorsolateral prefrontal cortex (DLPFC) as a key region for hier...

Apr 2023 36089836
Auditory stimulation and deep learning predict awakening from coma after cardiac arrest.

Assessing the integrity of neural functions in coma after cardiac arrest remains an open challenge. ...

Feb 2023 36637902
Classification of EEG signals related to real and imagery knee movements using deep learning for brain computer interfaces.

BACKGROUND: Non-invasive Brain-Computer Interface (BCI) uses an electroencephalogram (EEG) to obtain...

Jan 2023 36617798
A Self-Interpretable Deep Learning Model for Seizure Prediction Using a Multi-Scale Prototypical Part Network.

The epileptic seizure prediction (ESP) method aims to timely forecast the occurrence of seizures, wh...

Jan 2023 37030672
Artificial Intelligence-based Detection of Epileptic Discharges from Pediatric Scalp Electroencephalograms: A Pilot Study.

We developed an artificial intelligence (AI) technique to identify epileptic discharges (spikes) in ...

Dec 2022 36549763
A Critical Test of Deep Convolutional Neural Networks' Ability to Capture Recurrent Processing in the Brain Using Visual Masking.

Recurrent processing is a crucial feature in human visual processing supporting perceptual grouping,...

Nov 2022 36122352
Development and Validation of a Deep Learning Model for Predicting Treatment Response in Patients With Newly Diagnosed Epilepsy.

IMPORTANCE: Selection of antiseizure medications (ASMs) for epilepsy remains largely a trial-and-err...

Oct 2022 36036923
MEMD-HHT based Emotion Detection from EEG using 3D CNN.

In this study, the Multivariate Empirical Mode Decomposition (MEMD) is applied to multichannel EEG t...

Jul 2022 36085624
A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.

Alzheimer's Disease (AD) is the most common form of dementia. Mild Cognitive Impairment (MCI) is the...

Jul 2022 36085668
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