Direction decoding of physical and visual perturbations from EEG
- Resource Type
- Conference
- Authors
- Jalilpour, Shayan; Muller-Putz, Gernot R.
- Source
- 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2022 IEEE International Conference on. :427-431 Oct, 2022
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Visualization
Electric potential
Extended reality
Perturbation methods
Neural engineering
Metrology
Electroencephalography
balance
EEG
perturbation-evoked potential
virtual reality
- Language
It has been shown that perturbation evoked potentials could be decoded from rest electroencephalographic (EEG) signals. In this study, we investigated the neural responses of right and left perturbations in two different situations. Two types of sensorimotor perturbation consisted of visual field rotation (visual perturbation) and mediolateral pull at the waist (physical perturbation). Our results suggested that direction of perturbation can be distinguished in physical perturbation with high accuracy in single trials. No promising result was observed in differentiating the direction of perturbation in visual tasks. The findings of our study offer new possibilities in using human machine interface to compensate the imbalance events.