Latest AI and machine learning research in seizures for healthcare professionals.
Electroencephalography (EEG) and magnetic resonance imaging (MRI), as neuroimaging technologies, pro...
UNLABELLED: Epilepsy is a neurological disorder characterized by recurrent epileptic seizures, which...
OBJECTIVE: Motor imagery-based brain-computer interfaces (MI-BCIs) have been playing an increasingly...
. Developing an efficient and generalizable method for inter-subject emotion recognition from neural...
OBJECTIVES: Due to the absence of objective diagnostic criteria, tinnitus diagnosis primarily relies...
OBJECTIVES: The future emergence of disease-modifying treatments for dementia highlights the urgent ...
OBJECTIVE: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single...
In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (...
Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognit...
Diagnosing Alzheimer's disease (AD) through pathological markers is typically costly and invasive. T...
Developing an electroencephalogram (EEG)-based motor imagery and motor execution (MI/ME) decoding sy...
Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diag...
In this work, we propose a Fine-grained Hemispheric Asymmetry Network (FG-HANet), an end-to-end deep...
PURPOSE: Compare the identification of patients with established status epilepticus (ESE) and refrac...
BACKGROUND: Microstate characterization of electroencephalogram (EEG) is a data-driven approach to e...
Motor imagery (MI) decoding is the basis of external device control via electroencephalogram (EEG). ...
Motor imagery, one of the main brain-computer interface (BCI) paradigms, has been extensively utiliz...
Currently, spatiotemporal convolutional neural networks (CNNs) for electroencephalogram (EEG) signal...
BACKGROUND: Recognition of emotion changes is of great significance to a person's physical and menta...
. Brain-computer interface(BCI) is leveraged by artificial intelligence in EEG signal decoding, whic...
By gaining insights into how brain activity is encoded and decoded, we enhance our understanding of ...