Keyword search (4,163 papers available)

"Zeng Y" Authored Publications:

Title Authors PubMed ID
1 Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study Wu G; Eastwood CA; Cheligeer C; Southern DA; Zeng Y; Ghali WA; Bakal JA; Boussat B; Flemons W; Forster A; Xu Y; Quan H; 41592994
CONCORDIA
2 Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review Jafarpour H; Wu G; Cheligeer CK; Yan J; Xu Y; Southern DA; Eastwood CA; Zeng Y; Quan H; 41072367
ENCS
3 Correlations of pilot trainees brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis Zhao M; Law A; Su C; Jennings S; Bourgon A; Jia W; Larose MH; Bowness D; Zeng Y; 40109507
ENCS
4 Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H; 40105654
ENCS
5 Monitoring pilot trainees' cognitive control under a simulator-based training process with EEG microstate analysis Zhao M; Jia W; Jennings S; Law A; Bourgon A; Su C; Larose MH; Grenier H; Bowness D; Zeng Y; 39428425
ENCS
6 EEG-based study of design creativity: a review on research design, experiments, and analysis Zangeneh Soroush M; Zeng Y; 39148896
ENCS
7 Identifying personalized barriers for hypertension self-management from TASKS framework Yang J; Zeng Y; Yang L; Khan N; Singh S; Walker RL; Eastwood R; Quan H; 39143621
ENCS
8 Loosely controlled experimental EEG datasets for higher-order cognitions in design and creativity tasks Zangeneh Soroush M; Zhao M; Jia W; Zeng Y; 38152489
ENCS
9 Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review Yang L; Kuang A; Xu C; Shewchuk B; Singh S; Quan H; Zeng Y; 36811938
ENCS
10 Reinforcement learning for automatic quadrilateral mesh generation: A soft actor-critic approach Pan J; Huang J; Cheng G; Zeng Y; 36375347
ENCS
11 Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol Wu G; Eastwood C; Zeng Y; Quan H; Long Q; Zhang Z; Ghali WA; Bakal J; Boussat B; Flemons W; Forster A; Southern DA; Knudsen S; Popowich B; Xu Y; 36197944
ENCS
12 A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary Wan TTH; Matthews S; Luh H; Zeng Y; Wang Z; Yang L; 35372638
ENCS
13 Network oscillations imply the highest cognitive workload and lowest cognitive control during idea generation in open-ended creation tasks Jia W; von Wegner F; Zhao M; Zeng Y; 34930950
ENCS
14 EEG signals respond differently to idea generation, idea evolution and evaluation in a loosely controlled creativity experiment. Jia W, Zeng Y 33483583
ENCS
15 Phylogeny reconstruction and hybrid analysis of populus (Salicaceae) based on nucleotide sequences of multiple single-copy nuclear genes and plastid fragments. Wang Z, Du S, Dayanandan S, Wang D, Zeng Y, Zhang J 25116432
BIOLOGY

 

Title:Monitoring pilot trainees' cognitive control under a simulator-based training process with EEG microstate analysis
Authors:Zhao MJia WJennings SLaw ABourgon ASu CLarose MHGrenier HBowness DZeng Y
Link:https://pubmed.ncbi.nlm.nih.gov/39428425/
DOI:10.1038/s41598-024-76046-0
Publication:Scientific reports
Keywords:Cognitive controlEEG analysisEEG microstatesNeurophysiological measuresPilot training
PMID:39428425 Category: Date Added:2024-10-21
Dept Affiliation: ENCS
1 Concordia Institute for Information Systems, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, Canada.
2 National Research Council of Canada, Aerospace Research Centre, Ottawa, Canada.
3 CAE Inc., St-Laurent, Canada.
4 Marinvent Corporation, St-Bruno, Canada.
5 Concordia Institute for Information Systems, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, Canada. yong.zeng@concordia.ca.

Description:

The objective of pilot training is to equip trainees with the knowledge, judgment, and skills to maintain control of an aircraft and respond to critical flight tasks. The present research aims to investigate changes in trainees' cognitive control levels during a pilot training process while they underwent basic flight maneuvers. EEG microstate analysis was applied together with spectral power features to quantitatively monitor trainees' cognitive control under varied flight tasks during different training sessions on a flight simulator. Not only could EEG data provide an objective measure of cognitive control to complement the current subjective assessments, but the application of EEG microstate analysis is particularly well-suited for capturing rapid dynamic changes in cognitive states that may happen under complex human activities in conducting flight maneuvers. Comparisons were conducted between two types of tasks and across different training stages to monitor how pilot trainees' cognitive control responds to varied flight task types and training stages. The present research provides insights into the changes in trainees' cognitive control during a pilot training process and highlights the potential of EEG microstate analysis for monitoring cognitive control.





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