Latest AI and machine learning research in seizures for healthcare professionals.
Previous deep learning-based brain network research has made significant progress in understanding t...
BACKGROUND: Electroencephalogram (EEG) microstates, which reflect large-scale resting-state networks...
Accurate recognition and classification of motor imagery electroencephalogram (MI-EEG) signals are c...
Research on emotion recognition is an interesting area because of its wide-ranging applications in e...
BACKGROUND: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are both progressive neurolog...
EEG signals exhibit spatio-temporal characteristics due to the neural activity dispersion in space o...
Brain-controlled robotic arm systems are designed to provide a method of communication and control f...
With the advancement of artificial intelligence technology, more and more effective methods are bein...
PURPOSE: In the context of EEG-based emotion recognition tasks, a conventional strategy involves the...
Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications ...
Epilepsy, a neurological disorder causing recurring seizures, is often studied in zebrafish by expos...
PURPOSE: Advancements in Machine Learning (ML) techniques have revolutionized diagnosing and monitor...
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons generating d...
The objective of this study is to assess the potential of a transformer-based deep learning approach...
OBJECTIVES: To develop a predicted algorithm for drug-resistant epilepsy (DRE) in newly diagnosed te...
. Machine learning has enhanced the performance of decoding signals indicating human behaviour. Elec...
Electroencephalography (EEG) is invaluable in the management of acute neurological emergencies. Char...
Electroencephalography microstates (EEG-MS) show promise to be a neurobiological biomarker in stroke...
OBJECTIVE: This study aimed to establish an optimal model based on machine learning (ML) to predict ...
Anomalous chromosomes are the cause of genetic diseases such as cancer, Alzheimer's, Parkinson's, ep...
Electroencephalography (EEG) and magnetic resonance imaging (MRI), as neuroimaging technologies, pro...