Efficacy of a Single-Task ERP Measure to Evaluate Cognitive Workload During a Novel Exergame.

cognitive workload electroencephalogram event-related potentials exergame rehabilitation

Journal

Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954

Informations de publication

Date de publication:
2021
Historique:
received: 16 07 2021
accepted: 18 08 2021
entrez: 27 9 2021
pubmed: 28 9 2021
medline: 28 9 2021
Statut: epublish

Résumé

This study aimed to validate the efficacy of single-task event-related potential (ERP) measures of cognitive workload to be implemented in exergame-based rehabilitation. Twenty-four healthy participants took part in a novel gamified balance task where task-irrelevant auditory tones were presented in the background to generate ERPs in the participants' electroencephalogram (EEG) as a measure of cognitive workload. For the balance task, a computer-based tilt-ball game was combined with a balance board. Participants played the game by shifting their weight to tilt the balance board, which moved a virtual ball to score goals. The game was manipulated by adjusting the size of the goalposts to set three predefined levels of game difficulty (easy, medium, and hard). The participant's experience of game difficulty was evaluated based on the number of goals scored and their subjective reporting of perceived difficulty. Participants experienced a significant difference in the three levels of task difficulty based on the number of goals scored and perceived difficulty (

Identifiants

pubmed: 34566610
doi: 10.3389/fnhum.2021.742384
pmc: PMC8456040
doi:

Types de publication

Journal Article

Langues

eng

Pagination

742384

Informations de copyright

Copyright © 2021 Ghani, Signal, Niazi and Taylor.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Usman Ghani (U)

Rehabilitation Innovation Centre, Auckland University of Technology, Auckland, New Zealand.

Nada Signal (N)

Rehabilitation Innovation Centre, Auckland University of Technology, Auckland, New Zealand.

Imran Khan Niazi (IK)

Rehabilitation Innovation Centre, Auckland University of Technology, Auckland, New Zealand.
Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand.

Denise Taylor (D)

Rehabilitation Innovation Centre, Auckland University of Technology, Auckland, New Zealand.

Classifications MeSH