Latest AI and machine learning research in seizures for healthcare professionals.
Capturing dynamic spatiotemporal neural activity is essential for understanding large-scale brain me...
Accurate sleep staging is essential for diagnosing OSA and hypopnea in stroke patients. Although PSG...
Automated seizure detection from long-term clinical videos can substantially reduce manual review ti...
Epilepsy is a chronic neurological disorder requiring multi-faceted management, including seizure de...
Human visual reconstruction aims to reconstruct fine-grained visual stimuli based on subject-provide...
Machine learning methods employing neuroimaging data are useful for monitoring the activation of neu...
Electroencephalography (EEG) is a widely used tool for studying brain function, with applications in...
Applying machine learning to sensitive time-series data is often bottlenecked by the iteration loop:...
Persistent homology (PH) -- the conventional method in topological data analysis -- is computational...
Visual stimuli reconstruction from EEG remains challenging due to fidelity loss and representation s...
The use of wearables in medicine and wellness, enabled by AI-based models, offers tremendous potenti...
Epileptic seizure forecasting is a clinically important yet challenging problem in epilepsy research...
Electroencephalogram (EEG) classification is critical for applications ranging from medical diagnost...
Electroencephalography (EEG) provides a non-invasive window into neural dynamics at high temporal re...
We present an EEG-based approach to characterize disease-related spectro-temporal signatures in Alzh...
Accurate detection of interictal epileptiform discharges (IEDs) in electroencephalography (EEG) play...
Magnetoencephalography (MEG) and electroencephalography (EEG) source imaging requires solving an ill...
Motor imagery (MI) brain-computer interfaces (BCIs) are promising technologies for neurorehabilitati...
Resting-state electroencephalography (EEG) has been proposed as a scalable source of biomarkers for ...
Sense of agency (SoA), the experience of controlling one's actions and their consequences, is crucia...
Pretraining for electroencephalogram (EEG) foundation models has predominantly relied on self-superv...