Key result
Differential entropy was the most accurate and stable EEG feature to reflect vigilance changes when compared to four existing features in a dataset of 23 subjects.
Population
EEG data set of twenty-three subjects
Comparison
Differential entropy feature for EEG-based… vs Four existing features
Design
Other
Authors
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May refine EEG vigilance monitoring; leaves open validation in larger clinical cohorts.
Differential entropy is a more accurate and stable feature for EEG-based vigilance estimation compared to existing features.
Shi et al. (2013) studied Vigilance estimation (n=23). Differential entropy feature vs. Four existing features was evaluated on Accuracy and stability of vigilance estimation. Differential entropy was the most accurate and stable EEG feature to reflect vigilance changes when compared to four existing features in a dataset of 23 subjects.
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