Latest AI and machine learning research in seizures for healthcare professionals.
Motor skill deficits are common in epilepsy. The Grooved Pegboard Test (GPT) is the most commonly us...
OBJECTIVE: To develop an adaptive framework for seizure detection in real-time that is practical to ...
This paper puts forward a new method of landscape recognition and evaluation by using aerial video a...
Brain-computer interface (BCI) aims to establish communication paths between the brain processes and...
This study applies adaptive mixture independent component analysis (AMICA) to learn a set of ICA mod...
Automatic high-level feature extraction has become a possibility with the advancement of deep learni...
Parkinson's disease (PD) is one of the most common neurodegenerative diseases, and early diagnosis i...
Color has an important role in object recognition and visual working memory (VWM). Decoding color VW...
Temporal lobe epilepsy is associated with MRI findings reflecting underlying mesial temporal scleros...
Electroencephalogram (EEG)-based quantitative pain measurement is valuable in the field of clinical ...
Cognitive brain-computer interface (cBCI) is an emerging area with applications in neurorehabilitati...
Electroencephalography (EEG) signals collected from human brains have generally been used to diagnos...
This study presents a method with high accuracy performance that aims to automatically detect schizo...
Horizon scanning for innovative technologies that might be applied to medical products and requires ...
Domain adaptation (DA) tackles the problem where data from the source domain and target domain have ...
PURPOSE: The currently available indicators-sensitivity and specificity of expert radiological evalu...
Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions fr...
Epilepsy is a brain disorder disease that affects people's quality of life. Electroencephalography (...
OBJECTIVE: The aim of this study was to evaluate the feasibility of machine learning approach based ...
OBJECTIVE: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for a...
The ability to forecast seizures minutes to hours in advance of an event has been verified using inv...