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May 25, 2006IEEE Transactions on Biomedical Engineering

Shannon entropy tends to increase while other tested measures decrease with deepening sedation, and ApEn, LZC, and HFD are highly sensitive to high-frequency components in the EEG signal.

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Why the study?

Do different EEG entropy and complexity measures correlate differently with clinical depth of sedation scores in ICU patients?

Population

Patients in the intensive care unit (ICU) undergoing sedation

Comparison

EEG entropy and complexity measures vs Clinical depth of sedation score (Ramsay score)

Design

Other

Authors

RFRain FerenetsTLTarmo LippingAAAndres Anier

Discussion

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Overview

Different EEG measures should not yet guide ICU sedation; leaves open optimal algorithm selection for depth tracking.

Structured PICO

Do different EEG entropy and complexity measures correlate differently with clinical depth of sedation scores in ICU patients?

P
Population
Patients in the intensive care unit (ICU) undergoing sedation
I
Intervention
EEG entropy and complexity measures (Shannon entropy, spectral entropy, approximate entropy, Lempel-Ziv complexity, and Higuchi fractal dimension)
C
Comparator
Clinical depth of sedation score (Ramsay score)
O
Outcome
Behavior of EEG measures compared to clinical depth of sedation scoresurrogate

Different algorithms for calculating EEG entropy and complexity measure different signal properties and behave differently when assessing depth of sedation in the ICU.

Cite This Study

Ferenets et al. (2006) studied this question.

synapsesocial.com/papers/69d572c675589c71d767e785https://doi.org/10.1109/tbme.2006.873543
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