Frontal electroencephalographic (EEG) alpha asymmetry is widely researched in studies of
emotion, motivation, and psychopathology, yet it is a metric that has been quantified and …

The heart continuously and cyclically communicates with the brain. Beyond homeostatic
regulation and sensing, recent neuroscience research has started to shed light on brain …

Electroencephalography (EEG), as a non-invasive modality, enables the representation of
the underlying neuronal activities as electrical signals with high temporal resolution. In …

Background Electroencephalographic data are easily contaminated by signals of non-neural
origin. Independent component analysis (ICA) can help correct EEG data for such artifacts …

Conventional leg prostheses do not convey sensory information about motion or interaction
with the ground to above-knee amputees, thereby reducing confidence and walking speed …

Electromagnetic data collected using electroencephalography (EEG) and
magnetoencephalography (MEG) are of central importance for psychophysiological …

This study presents first evidence that reliable EEG data can be recorded with a new
cEEGrid electrode array, which consists of ten electrodes printed on flexible sheet and …

Over recent years, brain-computer interface (BCI) has emerged as an alternative
communication system between the human brain and an output device. Deciphered intents …

Background Artifacts contained in EEG recordings hamper both, the visual interpretation by
experts as well as the algorithmic processing and analysis (eg for Brain-Computer Interfaces …

A successful method for removing artifacts from electroencephalogram (EEG) recordings is
Independent Component Analysis (ICA), but its implementation remains largely user …