Latest AI and machine learning research in seizures for healthcare professionals.
Recently, high-frequency oscillations (HFOs) of range 80-500 Hz in electroencephalogram (EEG) record...
Olfactory perception involves complex processing distributed along several cortical and sub-cortical...
Development of noninvasive brain-machine interface (BMI) systems based on electroencephalography (EE...
Motor Imagery (MI) is a typical paradigm for Brain-Computer Interface (BCI) system. In this paper, w...
Innovative research in the fields of prosthetic, neurorehabilitation, motor control and human physio...
Manual and semi-automatic identification of artifacts and unwanted physiological signals in large in...
Purpose Speech-evoked neurophysiological responses are often collected to answer clinically and theo...
The recent advances in pervasive sensing technologies have enabled us to monitor and analyze the mul...
BACKGROUND: To decipher EEG (Electroencephalography), intending to locate inter-ictal and ictal disc...
BACKGROUND: Interictal epileptiform discharges are an important biomarker for localization of focal ...
Constructing a reliable and stable emotion recognition system is a critical but challenging issue fo...
It is known that brain dynamics significantly changes during motor imagery tasks of upper limb invol...
Electroencephalogram (EEG) signal based early diagnosis of Alzheimer's Disease (AD), especially a di...
Error-related potentials are considered an important neuro-correlate for monitoring human intentiona...
We present in this paper an efficient convolutional neural network (CNN) running on time-frequency i...
Chronic insomnia can significantly impair an individual's quality of life leading to a high societal...
We propose in this work a feature learning approach using deep bidirectional recurrent neural networ...
Motor imagery (MI) based Brain-Computer Interface (BCI) is an important active BCI paradigm for reco...
Face recognition plays an import role in our daily lives. However, computer face recognition perform...
We present for the first time a μW-power convolutional neural network for seizure detection running ...
In hospitals, physicians diagnose brain-related disorders such as epilepsy by analyzing electroencep...