Latest AI and machine learning research in seizures for healthcare professionals.
In the past decade, the rapid development of machine learning has dramatically improved the performa...
Tinnitus is attributed by the perception of a sound without any physical source causing the symptom....
Machine learning and more recently deep learning have become valuable tools in clinical decision mak...
Schizophrenia is one of the most complex of all mental diseases. In this paper, we propose a symmetr...
The success of deep learning in computer vision has inspired the scientific community to explore new...
Convolutional neural networks (CNN) have been frequently used to extract subject-invariant features ...
The majority of studies for automatic epileptic seizure (ictal) detection are based on electroenceph...
A convolution neural network (CNN) architecture has been designed to classify epileptic seizures bas...
classification of seizure types plays a crucial role in diagnosis and prognosis of epileptic patient...
The study of electroencephalography (EEG) data for cognitive load analysis plays an important role i...
Passive detection of footsteps in domestic settings can allow the development of assistive technolog...
Companion robots play an important role to accompany humans and provide emotional support, such as r...
Emotion recognition based on electroencephalography (EEG) plays a pivotal role in the field of affec...
In clinical examination, event-related potentials (ERPs) are estimated by averaging across multiple ...
Accurate and low-power decoding of brain signals such as electroencephalography (EEG) is key to cons...
Traumatic Brain Injury (TBI) is a highly prevalent and serious public health concern. Most cases of ...
General anesthesia is an essential part of surgery to ensure the safety of patients. Electroencephal...
STUDY OBJECTIVES: To assess the relationship between obstructive sleep apnea (OSA) severity and slee...
In this paper a machine learning model for automatic detection of abnormalities in electroencephalog...
Accurately identifying potential drug-target interactions (DTIs) is a key step in drug discovery. Al...
Most studies on drug addiction degree are made based on statistical scales, addicts' account, and su...