Behavior of entropy/complexity measures of the electroencephalogram during propofol-induced sedation: Dose-dependent effects of remifentanil

Anesthesiology

Volumn 106, Issue 4, 2007, Pages 696-706

  Ferenets, Rain ^a,b   Vanluchene, Ann ^c   Lipping, Tarmo ^a,d,f   Heyse, Björn ^c   Struys, Michel M R F ^c,e  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b TALLINN UNIVERSITY OF TECHNOLOGY   (Estonia)

^c GHENT UNIVERSITY HOSPITAL   (Belgium)

^d SATAKUNTA CENTRAL HOSPITAL   (Finland)

^e GHENT UNIVERSITY   (Belgium)

^f NONE   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

PROPOFOL; REMIFENTANIL;

ADULT; ALERTNESS; ANESTHESIST; ARTICLE; BEHAVIOR; CLINICAL ARTICLE; CONTINUOUS INFUSION; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ENTROPY; HUMAN; OUTCOME ASSESSMENT; PATIENT ASSESSMENT; PERFORMANCE; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RATING SCALE; SEDATION;

ADOLESCENT; ADULT; DOSE-RESPONSE RELATIONSHIP, DRUG; ELECTROENCEPHALOGRAPHY; ENTROPY; HUMANS; HYPNOTICS AND SEDATIVES; MIDDLE AGED; PIPERIDINES; PROPOFOL;

EID: 34147121092     PISSN: 00033022     EISSN: 15281175     Source Type: Journal    
DOI: 10.1097/01.anes.0000264790.07231.2d     Document Type: Article

References (28)

1. Widman G, Schriber T, Rehberg B, Hoeft A, Elger CE: Quantification of depth of anesthesia by nonlinear time series analysis of brain electrical activity. Phys Rev E 2000; 62:4898-903
2. Bruhn J, Lehmann LE, Röpcke H, Bouillon TW, Hoeft A: Shannon entropy applied to the measurement of the electroencephalographic effects of desflurane. ANESTHESIOLOGY 2001; 95:30-5
3. Bruhn J, Röpcke H, Hoeft A: Approximate entropy as an electroencephalographic measure of anesthetic drug effect during desflurane anesthesia. ANESTHESIOLOGY 2000; 92:715-26
4. Bouillon TW, Bruhn J, Radulescu L, Andresen C, Shafer TJ, Cohane C, Shafer SL: Pharmacodynamic interaction between propofol and remifentanil regarding hypnosis, tolerance of laryngoscopy, bispectral index, and electroencephalographic approximate entropy. ANESTHESIOLOGY 2004; 100:1353-72
5. Zhang X-S, Roy RJ, Jensen EW: EEG complexity as a measure of depth of anesthesia for patients. IEEE Trans Biomed Eng 2001; 48:1424-33
6. Lipping T, Jäntti V, Yli-Hankala A: Monitoring in anesthesia, Wiley Encyclopedia on Medical Devices and Instrumentation, 2nd edition. Edited by Webster JG. Hoboken, New Jersey, John Wiley & Sons, Inc., 2006, pp 555-65
7. Schnider TW, Minto CF, Shafer SL, Gambus PL, Andresen C, Goodale DB, Youngs EJ: The influence of age on propofol pharmacodynamics. ANESTHESIOLOGY 1999; 90:1502-16
8. Schnider TW, Minto CF, Gambus PL, Andresen C, Goodale DB, Shafer SL, Youngs EJ: The influence of method of administration and covariates on the pharmacokinetics of propofol in adult volunteers. ANESTHESIOLOGY 1998; 88:1170-82
9. Minto CF, Schnider TW, Egan TD, Youngs E, Lemmens HJ, Gambus PL, Billard V, Hoke JF, Moore KH, Hermann DJ, Muir KT, Mandema JW, Shafer SL: Influence of age and gender on the pharmacokinetics and pharmacodynamics of remifentanil: I. Model development. ANESTHESIOLOGY 1997; 86:10-23
10. Minto CF, Schnider TW, Shafer SL: Pharmacokinetics and pharmacodynamics of remifentanil: II. Model application. ANESTHESIOLOGY 1997; 86:24-33
11. Shafer SL, Gregg KM: Algorithms to rapidly achieve and maintain stable drug concentrations at the site of drug effect with a computer-controlled infusion pump. J Pharmacokinet Biopharm 1992; 20:147-69
12. Struys MM, De Smet T, Depoorter B, Versichelen LF, Mortier EP, Dumortier FJ, Shafer SL, Rolly G: Comparison of plasma compartment versus two methods for effect compartment-controlled target-controlled infusion for propofol. ANESTHESIOLOGY 2000; 92:399-406
13. Viertiö-Oja H, Maja V, Särkelä M, Talja P, Tenkanen N, Tolvanen-Laakso H, Paloheimo M, Vakkuri A, Yli-Hankala A, Meriläinen P: Description of the Entropy™ algorithm as applied in the Datex-Ohmeda S/5™ Entropy Module. Acta Anaesthesiol Scand 2004; 48:154-61
14. Ferenets R, Lipping T, Anier A, Jäntti V, Melto S, Hovilehto S: Comparison of entropy and complexity measures for the assessment of depth of sedation. IEEE Trans Biomed Eng 2006; 53:1067-77
15. Anier A, Lipping T, Melto S, Hovilehto S: Higuchi fractal dimension and spectral entropy as measures of depth of sedation in intensive care unit, Proceedings of the 26th IEEE EMBS Annual International Conference. September 1-5, 2004; San Francisco, California. Piscataway, New Jersey, Institute of Electrical and Electronics Engineers, Inc., pp 526-9
16. Chernik DA, Gillings D, Laine H, Hendler J, Silver JM, Davidson AB, Schwam EM, Siegel JL: Validity and reliability of the Observer's Assessment of Alertness/Sedation Scale: Study with intravenous midazolam. J Clin Psychopharmacol 1990; 10:244-51
17. Smith WD, Dutton RC, Smith NT: Measuring the performance of anesthetic depth indicators. ANESTHESIOLOGY 1996; 84:38-51
18. Smith WD, Dutton RC, Smith NT: A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area. Stat Med 1996; 15:1199-215
19. Schneider G, Hollweck R, Ningler M, Stockmanns G, Kochs EF: Detection of consciousness by electroencephalogram and auditory evoked potentials. ANESTHESIOLOGY 2005; 103:934-43
20. Jordan D, Schneider G, Hock A, Hensel T, Stockmanns G, Kochs EF: EEG parameters and their combination as indicators of depth of anaesthesia. Biomed Tech 2006; 51:89-94
21. Koskinen M, Seppänen T, Tong S, Mustola S, Thakor NV: Monotonicity of approximate entropy during transition from awareness to unresponsiveness due to propofol anesthetic induction. IEEE Trans Biomed Eng 2006; 53:669-75
22. Inouye T, Shinosaki K, Sakamoto H, Toi S, Ukai S, Iyama A, Katsuda Y, Hirano M: Quantification of EEG irregularity by use of the entropy of the power spectrum. Electroenceph Clin Neurophysiol 1990; 79:204-10
23. Rezek IA, Roberts SJ: Stochastic complexity measures for physiological signals analysis. IEEE Trans Biomed Eng 1998; 45:1186-91
24. Pincus SM: Approximate entropy as a measure of system complexity. Proc Natl Acad Sci U S A 1991; 88:2297-301
25. Richman JS, Moorman JR: Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol 2000; 278:2039-49
26. Lempel A, Ziv J: On the complexity of finite sequences. IEEE Trans Information Theory 1976; IT-22:75-81
27. Higuchi T: Approach to an irregular time series on the basis of the fractal theory. Physica D 1988; 31:277-83
28. Accardo A, Affinito M, Carrozzi M, Bouquet F: Use of the fractal dimension for the analysis of electroencephalographic time series. Biol Cybern 1997; 77:339-50