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Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Performance Monitoring via Functional Near Infrared Spectroscopy for Virtual Reality Based Basic Life Support Training
Frontiers in neuroscience, v 13, pp 1336-1336
12 Dec 2019
PMID: 31920503
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The use of serious game tools in training of medical professions is steadily growing. However, there is a lack of reliable performance assessment methods to evaluate learner’s outcome. The aim of this study is to determine whether functional near infrared spectroscopy (fNIRS) can be used as an additional tool for assessing the learning outcome of virtual reality (VR) based learning modules. The hypothesis is that together with an improvement in learning outcome there would be a decrease in the participants’ cerebral oxygenation levels measured from the prefrontal cortex (PFC) region and an increase of participants’ serious gaming results. To test this hypothesis, the subjects were recruited and divided into four groups with different combinations of prior virtual reality experience and prior Basic Life Support (BLS) knowledge levels. A VR based serious gaming module for teaching BLS and 16-Channel fNIRS system were used to collect data from the participants. Results of the participants’ scores acquired from the serious gaming module were compared with fNIRS measures on the initial and final training sessions. Kruskal Wallis test was run to determine any significant statistical difference between the groups and Mann–Whitney
U
test was utilized to obtain pairwise comparisons. BLS training scores of the participants acquired from VR based serious game’s the learning management system and fNIRS measurements revealed decrease in use of resources from the PFC, but increase in behavioral performance. Importantly, brain-based measures can provide an additional quantitative metric for trainee’s expertise development and can assist the medical simulation instructors.
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Details
- Title
- Performance Monitoring via Functional Near Infrared Spectroscopy for Virtual Reality Based Basic Life Support Training
- Creators
- Emin Aksoy - Department of Biomedical Device Technology, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.Kurtulus Izzetoglu - Drexel UniversityEngin Baysoy - Department of Biomedical Device Technology, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.Atahan Agrali - Department of Biomedical Device Technology, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.Dilek Kitapcioglu - Center of Advanced Simulation and Education, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.Banu Onaral - Drexel University
- Publication Details
- Frontiers in neuroscience, v 13, pp 1336-1336
- Publisher
- Frontiers Media S.A
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000504735200001
- Scopus ID
- 2-s2.0-85077287315
- Other Identifier
- 991019168060904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neurosciences