Electroencephalography (EEG) is a mechanism to understand the brain's functioning by
analyzing brain electrical signals. More recently, it has been more commonly used in studies …

Objective: Epilepsy is one of the chronic diseases, which requires exceptional attention. The
unpredictability of the seizures makes it worse for a person suffering from epilepsy. Methods …

Most magneto-and electroencephalography (M/EEG) based source estimation techniques
derive their estimates sample wise, independently across time. However, neuronal …

Bad channels result from the inherent instability of wearable optically pumped
magnetometers (OPMs). These unreliable channels significantly impede subsequent signal …

Visualization and visual analytic tools amplify one's perception of data, facilitating deeper
and faster insights that can improve decision making. For multidimensional data sets, one of …

Optically pumped magnetometer magnetoencephalography (OPM-MEG) holds significant
promise for clinical functional brain imaging due to its superior spatiotemporal resolution …

Artificial lighting, which profits from the non-visual effects of light, is a potentially promising
solution to support residents' psychophysiological health and performance at specific times …

This work addresses the challenge of classifying multiclass visual EEG signals into 40
classes for brain–computer interface applications using deep learning architectures. The …

Deep neural networks applied to signal processing problems will have to incorporate
various architectural features to remember the history of the input signals, eg, loops between …

Magnetoencephalography (MEG) is an important development in the field of noninvasive
brain imaging. Nevertheless, MEG recordings are prone to contamination from background …