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Assessment of cognitive load in the context of neurosurgery
Daniel A. Di Giovanni
, M. Kersten-Oertel
,
S. Drouin
, D. L. Collins
École de technologie supérieure
Software and Information Technology Engineering Department
LIO - Imaging and Orthopedics Research Laboratory
McGill University
Concordia University
Research output
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Contribution to journal
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Journal Article
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peer-review
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Keyphrases
Neurosurgery
100%
Cognitive Load
100%
Electroencephalography
50%
Visualization Method
50%
Dynamic Mode
50%
Neurosurgeon
25%
Raw Signal
25%
Visualization Techniques
25%
Image-guided Neurosurgery
25%
Performance Metrics
25%
Power Extraction
25%
Evaluation Method
25%
Dynamic Interaction
25%
Rendering Techniques
25%
Brain Imaging
25%
User Feedback
25%
Mental Effort
25%
Static Condition
25%
Aerial View
25%
Depth Perception
25%
Chromadepth
25%
Physiological Measurement
25%
Computed Tomography Angiography
25%
Visualization Strategy
25%
High-density Electroencephalography
25%
Static Mode
25%
Depth Cues
25%
Visualization Types
25%
Muse Headband
25%
Dynamic Visualization
25%
Adaptive Visualization
25%
Cognitive Burden
25%
Traditional Performance
25%
Surgical Visualization
25%
Repeated Measures ANOVA
25%
Theta Power
25%
Neural Markers
25%
Continuous Electroencephalogram
25%
Performance Outcomes
25%
Computer Science
visualization method
100%
Visualization Technique
50%
Performance Metric
50%
Computer Assisted Tomography
50%
Dynamic Interaction
50%
Neuroscience
Neurosurgery
100%
Cognitive Load
100%
Brain Imaging
25%
Depth Perception
25%
Computed Tomography Angiography
25%
Psychology
Cognitive Load
100%
Analysis of Variance
25%
Physiological Measure
25%
Depth Perception
25%
Methods Evaluation
25%
Tomography
25%