Literature DB >> 18002844

EEG effects of motion sickness induced in a dynamic virtual reality environment.

Chin-Teng Lin1, Shang-Wen Chuang, Yu-Chieh Chen, Li-Wei Ko, Sheng-Fu Liang, Tzyy-Ping Jung.   

Abstract

The Electroencephalogram (EEG) dynamics which relate to motion sickness are studied in this paper. Instead of providing visual or motion stimuli to the subjects to induce motion sickness, we employed a dynamic virtual-reality (VR) environment in our research. The environment consisted of a 3D surrounding VR scene and a motion platform providing a realistic situation. This environment provided the advantages of safety, low cost, and the realistic stimuli to induce motion sickness. The Motion Sickness Questionnaire (MSQ) was used to assess the sickness level, and the EEG effects on the subjects with high sickness levels were investigated using the independent component analysis (ICA). The fake-epoch extraction was then applied to the nausea-related independent components. Finally we employed the Event-Related Spectral Perturbation (ERSP) technology on the fake-epochs in order to determine the EEG dynamics during motion sickness. The experimental results show that most subjects experienced an 8-10 Hz power increase to their motion sickness-related phenomena in the parietal and motor areas. Moreover, some subjects experienced an EEG power increase of 18-20 Hz in their synchronized responses recorded in the same areas. The motion sickness-related effects and regions can be successfully obtained from our experimental results.

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Mesh:

Year:  2007        PMID: 18002844     DOI: 10.1109/IEMBS.2007.4353178

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  A Pilot Study on EEG-Based Evaluation of Visually Induced Motion Sickness.

Authors:  Ran Liu; Miao Xu; Yanzhen Zhang; Eli Peli; Alex D Hwang
Journal:  J Imaging Sci Technol       Date:  2020-01-31       Impact factor: 0.400

Review 2.  What is nausea? A historical analysis of changing views.

Authors:  Carey D Balaban; Bill J Yates
Journal:  Auton Neurosci       Date:  2016-07-16       Impact factor: 3.145

Review 3.  Neurophysiological Correlates of Cognition as Revealed by Virtual Reality: Delving the Brain with a Synergistic Approach.

Authors:  Sachin Mishra; Ajay Kumar; Parasuraman Padmanabhan; Balázs Gulyás
Journal:  Brain Sci       Date:  2021-01-05

4.  Changes in Electroencephalography Activity of Sensory Areas Linked to Car Sickness in Real Driving Conditions.

Authors:  Eléonore H Henry; Clément Bougard; Christophe Bourdin; Lionel Bringoux
Journal:  Front Hum Neurosci       Date:  2022-02-08       Impact factor: 3.169

Review 5.  Still Not Solved: A Call for Renewed Focus on User-Centered Teleoperation Interfaces.

Authors:  Daniel J Rea; Stela H Seo
Journal:  Front Robot AI       Date:  2022-03-29

6.  Auditory cortical deactivation during speech production and following speech perception: an EEG investigation of the temporal dynamics of the auditory alpha rhythm.

Authors:  David Jenson; Ashley W Harkrider; David Thornton; Andrew L Bowers; Tim Saltuklaroglu
Journal:  Front Hum Neurosci       Date:  2015-10-08       Impact factor: 3.169

7.  Design and Application of a Novel Virtual Reality Navigational Technology (VRNChair).

Authors:  Ahmad Byagowi; Danyal Mohaddes; Zahra Moussavi
Journal:  J Exp Neurosci       Date:  2014-03-02
  7 in total

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