Latest AI and machine learning research in seizures for healthcare professionals.
We present SeizureFormer, a Transformer-based model for long-term seizure risk forecasting using i...
Epileptic seizures are sudden neurological disorders characterized by abnormal, excessive neuronal...
Unmanned aerial vehicles (UAVs), initially developed for military applications, are now used in va...
Achieving a high level of immersion and adaptation in virtual reality (VR) requires precise measur...
Focal cortical dysplasia (FCD) type II is a major cause of drug-resistant epilepsy, often curable ...
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in childre...
The performance of deep learning methods critically depends on the quality and quantity of the ava...
Decoding gait dynamics from EEG signals presents significant challenges due to the complex spatial...
Alzheimer's Disease is a progressive neurological disorder that is one of the most common forms of...
Epilepsy is a common neurological disorder that affects around 65 million people worldwide. Detect...
Emotion recognition is crucial for advancing mental health, healthcare, and technologies like brai...
Epilepsy is typically diagnosed through electroencephalography (EEG) and long-term video-EEG (vEEG...
Depression disorder is a serious health condition that has affected the lives of millions of peopl...
Cross-subject EEG emotion recognition is challenged by significant inter-subject variability and i...
Neural decoding is an important method in cognitive neuroscience that aims to decode brain represe...
Deep networks for electroencephalogram (EEG) decoding are currently often trained to only solve a ...
Forecasting electroencephalography (EEG) signals, that is, estimating future values of the time seri...
Drug-resistant focal epilepsy is associated with abnormalities in the brain in both grey matter (G...
This study investigates EEG as a potential early biomarker by applying deep learning techniques to...
We propose a novel dual-loop system that synergistically combines responsive neurostimulation (RNS...
Electroencephalography (EEG) serves as an essential diagnostic tool in neurology; however, its acc...