Latest AI and machine learning research in seizures for healthcare professionals.
In recent medical research, tremendous progress has been made in the application of deep learning (D...
Sleep scoring is one of the primary tasks for the classification of sleep stages using electroenceph...
Sleep disturbances are common in Alzheimer's disease and other neurodegenerative disorders, and toge...
Due to the complexity of human emotions, there are some similarities between different emotion featu...
Emotion is interpreted as a psycho-physiological process, and it is associated with personality, beh...
In current anesthesiology practice, anesthesiologists infer the state of unconsciousness without dir...
Automatic sleep stage mymargin classification is of great importance to measure sleep quality. In th...
Combining multimodal biomarkers could help in the early diagnosis of Alzheimer's disease (AD). We in...
OBJECTIVE: One barrier hindering high frequency brain signals (HFBS, >80 Hz) from wide clinical appl...
Both color and structure make important contributions to human visual perception, as well as the eva...
While Deep Learning (DL) is often considered the state-of-the art for Artificial Intel-ligence-based...
In humans, impaired response inhibition is characteristic of a wide range of psychiatric diseases an...
In recent years, electroencephalographic (EEG) signals have been intensively used in the area of emo...
Epileptic focus localization by analysing intracranial electroencephalogram (iEEG) plays a critical ...
Implanted devices providing real-time neural activity classification and control are increasingly us...
The brain electrical activity, recorded and materialized as electroencephalogram (EEG) signals, is k...
BACKGROUND AND OBJECTIVE: Recognition of motor intention based on electroencephalogram (EEG) signals...
The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of epilepsy...
Automatic detection of interictal epileptiform discharges (IEDs, short as 'spikes') from an epilepti...
OBJECTIVE: Improving the identification of the epileptogenic zone and associated seizure-spreading r...
Supervised learning paradigms are often limited by the amount of labeled data that is available. Thi...