Forecasting the unresponsiveness to verbal command on the basis of EEG frequency progression during anesthetic induction with propofol

IEEE Transactions on Biomedical Engineering

Volumn 53, Issue 10, 2006, Pages 2008-2014

  Koskinen, Miika ^b   Mustola, Seppo ^c   Seppänen, Tapio ^a,b  

^a IEEE

^b UNIVERSITY OF OULU   (Finland)

^c SOUTH KARELIA CENTRAL HOSPITAL   (Finland)

Author keywords

Depth of anesthesia; Electroencephalogram (EEG); Multiple linear regression; Sedation

Indexed keywords

ANESTHESIA DEPTH; MULTIPLE LINEAR REGRESSION; SEDATION; VERBAL COMMAND (LVC);

BIOMEDICAL ENGINEERING; DRUG PRODUCTS; ERROR ANALYSIS; MATHEMATICAL MODELS; POLYNOMIAL APPROXIMATION; REGRESSION ANALYSIS; SOUND RECORDING; SPEECH ANALYSIS;

ELECTROENCEPHALOGRAPHY;

PROPOFOL;

ADULT; AMPLITUDE MODULATION; ANALYTICAL ERROR; ANESTHESIA INDUCTION; ANESTHESIA LEVEL; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; ELECTROENCEPHALOGRAM; HUMAN; HUMAN EXPERIMENT; MULTIPLE LINEAR REGRESSION ANALYSIS; NORMAL HUMAN; PREDICTION; SEDATION; TIME SERIES ANALYSIS;

ADULT; ALGORITHMS; ANESTHESIA; ANESTHETICS, INTRAVENOUS; AUDITORY PERCEPTION; CONSCIOUSNESS; DIAGNOSIS, COMPUTER-ASSISTED; DRUG THERAPY, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; INJECTIONS, INTRAVENOUS; MALE; MIDDLE AGED; PROPOFOL;

EID: 33749520636     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2006.881786     Document Type: Article

References (23)

1. M. N. Avramov and P. F. White, "Methods for monitoring the level of sedation," Crit. Care Clin., vol. 11, pp. 803-826, Oct. 1995.
2. W. D. Smith, R. C. Dutton, and N. T. Smith, "Measuring the performance of anesthetic depth indicators," Anesthesiology, vol. 84, pp. 38-51, Jan. 1996.
3. E. W. Jensen, H. Litvan, M. Struys, and P. M. Vazquez, "Pitfalls and challenges when assessing the depth of hypnosis during general anaesthesia by clinical signs and electronic indices," Acta Anaesthesiol. Scand., vol. 48, pp. 1260-1267, Nov. 2004.
4. I. J. Rampil, "A primer for EEG signal processing in anesthesia," Anesthesiology, vol. 89, pp. 980-1002, Oct. 1998.
5. J. C. Sigl and N. G. Chamoun, "An introduction to bispectral analysis for the electroencephalogram," J. Clin. Monit., vol. 10, pp. 392-404, Nov. 1994.
6. H. Viertiö-Oja, V. Maja, M. Särkela, P. Talja, N. Tenkanen, H. Tolvanen-Laakso, M. Paloheimo, A. Vakkuri, A. Yli-Hankala, and P. Meriläinen, "Description of the entropy algorithm as applied in the Datex-Ohmeda S/5 Entropy Module," Acta Anaesthesiol. Scand., vol. 48, pp. 154-161, Feb. 2004.
7. D. R. Drover, H. J. Lemmens, E. T. Pierce, G. Plourde, G. Loyd, E. Ornstein, L. S. Prichep, R. J. Chabot, and L. Gugino, "Patient state index: Titration of delivery and recovery from propofol, alfentanil, and nitrous oxide anesthesia," Anesthesiology, vol. 97, pp. 82-89, July 2002.
8. M. Koskinen, S. Mustola, and T. Seppänen, "Relation of EEG spectrum progression to loss of responsiveness during induction of anesthesia with propofol," Clin. Neurophysiol., vol. 116, pp. 2069-2076, 2005.
9. E. C. Ifeachor and B. W. Jervis, Digital Signal Processing: A Practical Approach. Wokingham, U.K.: Addison-Wesley, 1993.
10. R. Wichman, J. T. Astola, P. J. Heinonen, and Y. A. Neuvo, "FIR-median hybrid filters with excellent transient response in noisy conditions," IEEE Trans. Acoust. Speech Signal Process., vol. 38, no. 12, pp. 2018-2117, Dec. 1990.
11. S. J. Orfanidis, Introduction to Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1996, pp. 434-462.
12. D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis. New York: Wiley, 2001.
13. P. Pudil, J. Novovicova, and J. Kittler, "Floating search methods in feature selection," Pattern Recognit. Lett., vol. 15, pp. 1119-1125, 1994.
14. J. W. Huang, Y. Y. Lu, A. Nayak, and R. J. Roy, "Depth of anesthesia estimation and control," IEEE Trans. Biomed. Eng., vol. 46, no. 1, pp. 71-81, Jan. 1999.
15. X. S. Zhang and R. J. Roy, "Derived fuzzy knowledge model for estimating the depth of anesthesia," IEEE Trans. Biomed. Eng., vol. 48, no. 3, pp. 312-323, Mar. 2001.
16. X. S. Zhang, R. J. Roy, and E. W. Jensen, "EEG complexity as a measure of depth of anesthesia for patients," IEEE Trans. Biomed. Eng., vol. 48, no. 12, pp. 1424-1433, Dec. 2001.
17. M. van Gils, I. Korhonen, and A. Yli-Hankala, "Methods for assessing adequacy of anesthesia," Crit. Rev. Biomed. Eng., vol. 30, pp. 99-130, 2002.
18. K. M. Gregg, J. R. Varvel, and S. L. Shafer, "Application of semi-linear canonical correlation to the measurement of opioid drug effect," J. Pharmacokinet. Biopharm., vol. 20, pp. 611-635, Dec. 1992.
19. P. L. Gambus, K. M. Gregg, and S. L. Shafer, "Validation of the alfentanil canonical univariate parameter as a measure of opioid effect on the electroencephalogram," Anesthesiology, vol. 83, pp. 747-756, Oct. 1995.
20. T. W. Schnider, C. F. Minto, P. Fiset, K. M. Gregg, and S. L. Shafer, "Semilinear canonical correlation applied to the measurement of the electroencephalographic effects of midazolam and flumazenil reversal," Anesthesiology, vol. 84, pp. 510-519, Mar. 1996.
21. S. T. Mustola, G. A. Baer, P. J. Neuvonen, and K. J. Toivonen, "Requirements of propofol at different endpoints without adjuvant and during two different steady infusions of remifentanil," Acta Anaesthesiol. Scand., vol. 49, pp. 215-221, Feb. 2005.
22. K. Kuizenga, J. M. Wierda, and C. J. Kalkman, "Biphasic EEG changes in relation to loss of consciousness during induction with thiopental, propofol, etomidate, midazolam or sevoflurane," Br. J. Anaesth., vol. 86, pp. 354-360, Mar. 2001.
23. M. Koskinen, S. Mustola, and T. Seppänen, "Monotonicity of approximate entropy during transition from awareness to unresponsiveness due to propofol anesthetic," IEEE Trans. Biomed. Eng., vol. 53, no. 4, pp. 669-675, Apr. 2006.