In condition based maintenance, different signal processing techniques are used to sense
the faults through the vibration and acoustic emission signals, received from the machinery …

Misdiagnosis of epilepsy is more seen in manual analysis of electroencephalogram (EEG)
signals for epileptic seizure event detection. Therefore, automated systems for epilepsy …

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 …

Among various physiological signal acquisition methods for the study of the human brain,
EEG (Electroencephalography) is more effective. EEG provides a convenient, non-intrusive …

Psychedelic drugs, such as psilocybin and LSD, represent unique tools for researchers
investigating the neural origins of consciousness. Currently, the most compelling theories of …

The lack of open-source tools for physiological signal processing hinders the development
of standardized pipelines in physiology. Researchers usually must rely on commercial …

Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

Recent evidence suggests that the quantity and quality of conscious experience may be a
function of the complexity of activity in the brain and that consciousness emerges in a critical …

With deep learning (DL) development, EEG-based emotion recognition has attracted
increasing attention. Diverse DL algorithms emerge and intelligently decode human emotion …

Affective human-robot interaction is still an active area of research in part due to the great
advances in artificial intelligence. Now, the design of autonomous devices that work in real …