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IEEE Trans Biomed Eng · Jun 2006
Comparative Study Controlled Clinical TrialComparison of entropy and complexity measures for the assessment of depth of sedation.
- Rain Ferenets, Tarmo Lipping, Andres Anier, Ville Jäntti, Sari Melto, and Seppo Hovilehto.
- Department of Information Technology, Tampere University of Technology, Pori, Finland.
- IEEE Trans Biomed Eng. 2006 Jun 1;53(6):1067-77.
AbstractEntropy and complexity of the electroencephalogram (EEG) have recently been proposed as measures of depth of anesthesia and sedation. Using surrogate data of predefined spectrum and probability distribution we show that the various algorithms used for the calculation of entropy and complexity actually measure different properties of the signal. The tested methods, Shannon entropy (ShEn), spectral entropy, approximate entropy (ApEn), Lempel-Ziv complexity (LZC), and Higuchi fractal dimension (HFD) are then applied to the EEG signal recorded during sedation in the intensive care unit (ICU). It is shown that the applied measures behave in a different manner when compared to clinical depth of sedation score--the Ramsay score. ShEn tends to increase while the other tested measures decrease with deepening sedation. ApEn, LZC, and HFD are highly sensitive to the presence of high-frequency components in the EEG signal.
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