Direction decoding of physical and visual perturbations from EEG

Shayan Jalilpourroudkoli; Gernot Müller-Putz

doi:10.1109/MetroXRAINE54828.2022.9967637

Direction decoding of physical and visual perturbations from EEG

Shayan Jalilpourroudkoli, Gernot Müller-Putz

Institute of Neural Engineering (7090)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

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.

Original language	English
Title of host publication	2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Publisher	IEEEXplore
Pages	427-431
Number of pages	5
ISBN (Electronic)	9781665485746
DOIs	https://doi.org/10.1109/MetroXRAINE54828.2022.9967637
Publication status	Published - 5 Dec 2022
Event	2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering: MetroXRAINE 2022 - Rome, Italy Duration: 26 Oct 2022 → 28 Oct 2022

Conference

Conference	2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering
Abbreviated title	MetroXRAINE 2022
Country/Territory	Italy
City	Rome
Period	26/10/22 → 28/10/22

Keywords

balance
EEG
Perturbation-evoked potential
virtual reality
perturbation-evoked potential

ASJC Scopus subject areas

Artificial Intelligence
Instrumentation
Neuroscience (miscellaneous)
Computer Science Applications
Media Technology

Cooperations

BioTechMed-Graz

Access to Document

10.1109/MetroXRAINE54828.2022.9967637

Cite this

Direction decoding of physical and visual perturbations from EEG. / Jalilpourroudkoli, Shayan ; Müller-Putz, Gernot.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEEXplore, 2022. p. 427-431.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Jalilpourroudkoli, S & Müller-Putz, G 2022, Direction decoding of physical and visual perturbations from EEG. in 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEEXplore, pp. 427-431, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, Rome, Italy, 26/10/22. https://doi.org/10.1109/MetroXRAINE54828.2022.9967637

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abstract = "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.",

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AB - 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.

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Direction decoding of physical and visual perturbations from EEG

Abstract

Conference

Keywords

ASJC Scopus subject areas

Cooperations

Access to Document

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