Latest AI and machine learning research in seizures for healthcare professionals.
Electroencephalogram (EEG) is widely used in basic and clinical neuroscience to explore neural state...
INTRODUCTION: Intracerebral hemorrhage represents 15 % of all strokes and it is associated with a hi...
Prompt diagnosis of epilepsy relies on accurate classification of automated electroencephalogram (EE...
Epilepsy is a chronic neurological disorder that causes a major threat to public health and the burd...
. This study aims to develop and validate an end-to-end software platform, PyHFO, that streamlines t...
Human emotions are complex psychological and physiological responses to external stimuli. Correctly ...
Epilepsy is a common neurological disorder, and its diagnosis mainly relies on the analysis of elect...
Electroencephalography (EEG) plays a crucial role in epilepsy analysis, and epileptic seizure predic...
Bringing out brain activity through the interpretation of EEG signals is a challenging problem that ...
This study develops a deep learning (DL) method for fast auditory attention decoding (AAD) using ele...
In order to improve the performance of binary motor imagery (MI) - based brain-computer interfaces (...
OBJECTIVE: Common pain assessment approaches such as self-evaluation and observation scales are inap...
The olfactory system enables humans to smell different odors, which are closely related to emotions....
Aiming for the research on the brain-computer interface (BCI), it is crucial to design a MI-EEG reco...
BACKGROUND: The conceptual definition of epilepsy has been changing over decades and remains debatab...
The widely adopted paradigm in brain-computer interfaces (BCIs) involves motor imagery (MI), enablin...
In this paper, we propose a novel multi-scale 3D-CRU model, with the goal of extracting more discrim...
Epilepsy surgery is effective for patients with medication-resistant seizures, however 20-40% of the...
Motor imagery (MI) based brain-computer interfaces (BCIs) decode the users' intentions from electroe...
The study introduces a new online spike encoding algorithm for spiking neural networks (SNN) and sug...
To evaluate sleep quality, it is necessary to monitor overnight sleep duration. However, sleep monit...