Latest AI and machine learning research in seizures for healthcare professionals.
Electroencephalogram (EEG) source imaging (ESI) is highly underdetermined, which poses a long-standi...
Meditation is a widely recognized practice that enhances mental well-being and cognitive function. D...
Objective.Accurate detection of single-trial P300 ERPs (event-related potentials) is crucial for dev...
BACKGROUND: General anesthesia comprises 3 essential components-hypnosis, analgesia, and immobility....
BACKGROUND: Approximately 3.8 billion people lack access to essential health services, and diagnosti...
This study explored the value of nonlinear features extracted from EEG signals to facilitate the ass...
Humans rapidly and efficiently categorize others with limited information, forming split-second impr...
Electroencephalogram (EEG) plays a vital role in seizure detection, yet existing methods often fail ...
BACKGROUND: Motor imagery (MI)-based electroencephalogram (EEG) brain-computer interfaces (BCIs) fac...
Introduction.Focal cortical dysplasia type II (FCD II) is a significant cause of drug-resistant epil...
Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resour...
BACKGROUND AND OBJECTIVE: Worldwide, over 50 million people suffer from epilepsy, a neurological dis...
Aging is associated with widespread structural and functional changes in the brain including reduced...
BACKGROUND: Cognitive dysfunction is common in people with epilepsy (PWE). Although expectations exi...
Objective. Epilepsy is a chronic brain disorder characterized by recurrent seizures due to abnormal ...
OBJECTIVE: This paper presents a two-stage machine learning model for electrographic seizure detecti...
Epilepsy is the fourth most common neurological disorder, and seizures significantly impact quality ...
Auditory-evoked EEG signals contain rich temporal and cognitive features that reflect both the ident...
BACKGROUND: Non-linear neural dynamics reflect the inherent complexity of brain activity and are inc...
As artificial intelligence (AI) is increasingly integrated into medical diagnostics, it is essential...
Electroencephalography (EEG) has shown promise in assessing and monitoring functional recovery in st...