An automated, KS-statistic-based way to choose modified diffusion entropy analysis parameters is proposed and used to show complexity synchronization among EEG, ECG, and filtered respiration during a cognitive task.
Journal of Computational and Applied Mathematics 296, 181–211
1 Pith paper cite this work, alongside 30 external citations. Polarity classification is still indexing.
1
Pith paper citing it
30
external citations · OpenAlex
fields
q-bio.NC 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Complexity synchronization analysis of neurophysiological data: Theory and methods
An automated, KS-statistic-based way to choose modified diffusion entropy analysis parameters is proposed and used to show complexity synchronization among EEG, ECG, and filtered respiration during a cognitive task.