| Literature DB >> 34892533 |
Karuna P Sahoo, Ananth Radhakrishnan, Sawon Pratiher, Sazedul Alam, Scott Kerick, Nirmalya Ghosh, David Chhan, Nilanjan Banerjee, Amit Patra.
Abstract
This paper explores power spectrum-based features extracted from the 64-channel electroencephalogram (EEG) signals to analyze brain activity alterations during a virtual reality (VR)-based stressful shooting task, with low and high difficulty levels, from an initial resting baseline. This paper also investigates the variations in EEG across several experimental sessions performed over multiple days. Results indicate that patterns of changes in different power bands of the EEG are consistent with high mental stress levels during the shooting task compared to baseline. Although there is one inconsistency, overall, the brain patterns indicate higher stress levels during high difficulty tasks than low difficulty tasks and in the first session compared to the last session.Entities:
Mesh:
Year: 2021 PMID: 34892533 DOI: 10.1109/EMBC46164.2021.9630007
Source DB: PubMed Journal: Annu Int Conf IEEE Eng Med Biol Soc ISSN: 2375-7477