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:Correlations of pilot trainees brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis
Authors:Zhao MLaw ASu CJennings SBourgon AJia WLarose MHBowness DZeng Y
Link:https://pubmed.ncbi.nlm.nih.gov/40109507/
DOI:10.3389/fnrgo.2025.1472693
Publication:Frontiers in neuroergonomics
Keywords:EEG microstate analysisaircraft control evaluationsbrain dynamicscognitive functionscorrelation analysislearning processespilot training
PMID:40109507 Category: Date Added:2025-03-20
Dept Affiliation: ENCS
1 Concordia Institute for Information Systems Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC, Canada.
2 Flight Research Laboratory, Aerospace Research Centre, National Research Council of Canada, Ottawa, ON, Canada.
3 CAE Inc., St-Laurent, QC, Canada.
4 Marinvent Corporation, St-Bruno, QC, Canada.

Description:

Objective: This study aims to investigate the relationship between the subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in the results from EEG microstate analysis. Specifically, we seek to identify correlations between distinct microstate patterns and each dimension included in the subjective flight control evaluations, shedding light on the neurophysiological mechanisms underlying aviation expertise and possible directions for future improvements in pilot training.

Background: Proficiency in aircraft control is crucial for aviation safety and modern aviation where pilots need to maneuver aircraft through an array of situations, ranging from routine takeoffs and landings to complex weather conditions and emergencies. However, the neurophysiological aspects of aviation expertise remain largely unexplored. This research bridges the gap by examining the relationship between pilot trainees' specific brainwave patterns and their subjective evaluations of flight control levels, offering insights into the cognitive underpinnings of pilot skill efficiency and development.

Method: EEG microstate analysis was employed to examine the brainwave dynamics of pilot trainees while they performed aircraft control tasks under a flight simulator-based pilot training process. Trainees' control performance was evaluated by experienced instructors across five dimensions and their EEG data were analyzed to investigate the associations between the parameters of specific microstates with successful aircraft control.

Results: The experimental results revealed significant associations between aircraft control levels and the parameters of distinct EEG microstates. Notably, these associations varied across control dimensions, highlighting the multifaceted nature of control proficiency. Noteworthy correlations included positive correlations between microstate class E and class G with aircraft control, emphasizing the role of attentional processes, perceptual integration, working memory, cognitive flexibility, decision-making, and executive control in aviation expertise. Conversely, negative correlations between microstate class C and class F with aircraft control indicated links between pilot trainees' cognitive control and their control performance on flight tasks.

Conclusion: The findings underscore the multidimensional nature of aircraft control proficiency and emphasize the significance of attentional and cognitive processes in achieving aviation expertise. These neurophysiological markers offer a basis for designing targeted pilot training programs and interventions to enhance trainees' aircraft control skills.





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