Related Experiment Video
Updated: May 24, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
Published on: March 28, 2025
Neural source reconstruction using a novel ultra-high-density EEG system and vibrotactile stimulation of individual
Abstract:
Estimating the origin of the neural source from noninvasive high-density EEG recordings is of high value in clinical diagnosis and is referred to as neural source reconstruction. This paper presents a novel ultra-high-density Electroencephalography (uHD EEG) system and the FieldTrip toolbox deployed for EEG source analysis. The experiment showed that an EEG system with a high spatial resolution could reconstruct the neural activation of time-locked somatosensory evoked potentials (SEPs) elicited by vibrotactile stimulation applied to individual fingers on the right and left hand. Minimum norm estimation (MNE) and dipole fitting methods were employed to address the inverse problem. Findings from both methodologies indicate that tactile stimulation applied to the right-hand fingers elicits activation in the somatosensory cortex of the left hemisphere. Similarly, left-hand stimulation activates the somatosensory cortex in the right hemisphere. Moreover, a distinct segregation of activation for each specific finger is evident in the calculated dipoles.

