Latest AI and machine learning research in seizures for healthcare professionals.
Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is inve...
This paper presents a novel method for feature extraction from electroencephalogram (EEG) signals us...
The objective of this study is to evaluate machine learning algorithms aimed at predicting surgical ...
OBJECTIVE: This work presents a novel automated system to classify the severity of hypoxic-ischemic ...
Focal cortical dysplasia (FCD) is the most common cause of pediatric epilepsy and the third most com...
With the rapid increase of 3-dimensional (3D) content, considerable research related to the 3D human...
Supervised machine learning-based seizure prediction methods consider preictal period as an importan...
In this study, a novel spatial filter design method is introduced. Spatial filtering is an important...
Temporal lobe epilepsy (TLE) is a common type of epilepsy with hippocampus as the usual site of orig...
A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute po...
This paper presents an investigation aimed at drastically reducing the processing burden required by...
The paper presents a methodology for the analysis of functional changes in brain activity across dif...
Automatic seizure detection technology is of great significance for long-term electroencephalogram (...
In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroen...
Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize ev...
Learning optimal spatio-temporal filters is a key to feature extraction for single-trial electroence...
Sleep apnea syndrome (SAS) is prevalent in individuals and recently, there are many studies focus on...
Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect aware...
Seizures below one minute in duration are difficult to assess correctly using seizure detection algo...
This paper describes a discrete wavelet transform-based feature extraction scheme for the classifica...
The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by re...