2019). Despite this progress, applying these techniques to the analysis of electroencephalography (EEG) signals presents unique challenges due to the complex, non-stationary nature of brain activity.

This project probes the role of the motor system during action observation using EEG data analysis. It explores the interaction between the motor system and the mirror neuron system, aiming to provide ...

Introduction: Intersections are particularly complex traffic situations and are often ... We recorded their driving behaviour as well as their brain activity using electroencephalography (EEG).

Electroencephalography (EEG) is a method for monitoring electrical activity in the brain. It uses electrodes placed on or below the scalp to record activity with coarse spatial but high temporal ...

Discover how heart rate variability (HRV) from ECG offers a practical, sensitive alternative to EEG for fatigue detection in ...

Double-pulse TMS was delivered over each of the TW of either the pMTG or the IFG. (D) Procedure of Experiment 3. Semantically congruent gesture-speech pairs were presented randomly with ...

The IOP Medical Physics Group meeting examined the impact of advanced imaging techniques and computational modelling on ...

This study uses electrophysiological recordings, causal manipulations of activity, and modeling to investigate how the maintenance of a spatial location in working memory affects the representation of ...

Major types of brain imaging techniques used today include functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and emission computed tomography. Each presents a different ...

Silicone tapes are removed easily and painlessly over hairy areas. Attaching electroencephalograph (EEG) electrodes is an example of how this feature can be applied (Fig. 4). A study in adults ...

A new report from the Institute for the Future of Work (IFOW) explores the increasing use of affective computing in the ...