Latest AI and machine learning research in seizures for healthcare professionals.
Different biological signals are recorded in sleep labs during sleep for the diagnosis and treatment...
OBJECTIVE: Seizure forecasting may provide patients with timely warnings to adapt their daily activi...
Effective patient care mandates rapid, yet accurate, diagnosis. With the abundance of non-invasive d...
In the field of brain-computer interfaces, it is very common to use EEG signals for disease diagnosi...
Using multimodal signals to solve the problem of emotion recognition is one of the emerging trends i...
Emotions are fundamental for human beings and play an important role in human cognition. Emotion is ...
Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact du...
Human activity recognition and neural activity analysis are the basis for human computational neureo...
Association between electroencephalography (EEG) and individually personal information is being expl...
OBJECTIVE: Medial temporal lobe epilepsy (TLE) is the most common form of medication-resistant focal...
In the process of brain-computer interface (BCI), variations across sessions/subjects result in diff...
BACKGROUND: Despite the availability of continuous conventional electroencephalography (cEEG), accur...
The amount of freely available human phenotypic data is increasing daily, and yet little is known ab...
Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to m...
This study aims to find an effective method to evaluate the efficacy of cognitive training of spatia...
OBJECTIVE: We have developed and validated a novel EEG-based signal processing approach to distingui...
Convolutional neural networks (CNNs) are widely used to recognize the user's state through electroen...
In recent years, robotic training has been utilized for recovery of motor control in patients with ...
Classification of electroencephalography (EEG) signals corresponding to imagined speech production i...
Electroencephalography (EEG) based biomarkers have been shown to correlate with the presence of psyc...
Novel trends in affective computing are based on reliable sources of physiological signals such as E...