MONITORING THE DEPTH OF ANAESTHESIA USING FRACTAL COMPLEXITY METHOD

Complexus Mundi: Emergent Patterns in Nature

Volumn , Issue , 2006, Pages 333-342

  Klonowski, W ^a   Olejarczyk, E ^a   Stepien, R ^a   Jalowiecki, P ^b   Rudner, R ^b  

^a INSTITUTE OF BIOCYBERNETICS AND BIOMEDICAL ENGINEERING   (Poland)

^b MEDICAL UNIVERSITY OF SILESIA   (Poland)

Author keywords

Anaesthesia; Complexity; EEG; Fractal Dimension

Indexed keywords

EID: 85122872914     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1142/9789812774217_0031     Document Type: Chapter

References (17)

1. R. Rudner, P. Jalowiecki, M. Willand, W. Klonowski, E. Olejarczyk, R. Stepien, S. Hagihira: Fractal dimension - a new EEG-based method of assessing depth of anaesthesia in comparison with BIS during induction and recovery from anaesthesia. Euroanaesthesia 2005, Vienna, Austria, May 28-31, 2005, European Journal of Anaesthesiology 22, Suppl. 34, 2005, A-118,. pp. 32-33.
2. D. A. Chernik, D. Gillings, and H. Laine: Validity and reliability of the observer’s assessment of alertness/sedation scale: Study with intravenous midazolam. J. Clin. Psychopharm. 10, 244-245 (1990).
3. J.B. Bassingthwaighte, L. Liebovitch, B.J. West: Fractal Physiology. Oxford University Press, 1994.
4. B.J. West, M.N. Novaes, V. Kavcic: Fractal Probability Density and EEG/ERP Time Series. In: Fractal Geometry in Biological Systems: An Analytical Approach P.M. Iannaccone and M. Khokha (Eds.), pp. 267-316, CRC-Press, Boca Raton, 1996.
5. I. Dvorak and J. Siska: On some problems encountered in the estimation of the correlation dimension of the EEG. Physics Letters A, 118(2), p. 63-66 (1986).
6. M. Palus, I. Dvorak, I. David: Spatio-temporal dynamics of human EEG. Physica A 185(1-4), pp. 433-438 (1992).
7. A.L. Goldberger, L.A.N. Amaral, J.M. Hausdorff, P.Ch. Ivanov, C.-K. Peng and H.E. Stanley: Fractal dynamics in physiology: Alterations with disease and aging. PNAS 99, Suppl.1 pp. 2466-2472 (2002).
8. Ying-Cheng Lay and N. Ye: Recent development in chaotic time series analysis. Int. J. Bifurcation and Chaos 13(6), pp. 1383-1422 (2003).
9. N.G. Makarenko: Time series from geometry and topology of spatio-temporal chaos. Izvestiya VUZ Applied Nonlinear Dynamics, 12 (6), pp. 3-16 (Saratov, 2004, in Russian).
10. I. Bojak and D.T. Liley: Modeling the effects of anesthesia on the electroencephalogram. Physical Review E 71 (4), (2005).
11. J. I. Rampil: A Primer for EEG signal processing in anaesthesia. Anesthesiology 89, 980-1002 (1998).
12. T. Higuchi: Approach to an irregular time series on the basis of the fractal theory, Physica D 31, 277-283 (1988).
13. S. Hagihira, M. Takasina, T. Mori, T. Mashimo, I. Yashiya: Practical issues in bispectral analysis of electroencephalographic signals. Anesthesia and Analgesia; 93, 966-70, (2001)
14. E. Olejarczyk: Analysis of EEG signals using fractal dimension. PhD Thesis, Supervisor Prof. W.Klonowski, Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, 2003.
15. W. Klonowski, E. Olejarczyk, and R. Stepien: New Methods of Nonlinear and Symbolic Dynamics in Sleep EEG-Signal Analysis. In: Modelling and Control in Biomedical Systems (D. D. Feng and E. R. Carson, Eds.), pp. 241-244, IFAC Publications, Elsevier, Oxford, 2003.
16. W. Klonowski, E. Olejarczyk, and R. Stepien: Complexity of Polysomnogram Signals. WSEAS Transactions on Computers 3(5), 1290-1294 (2004).
17. W. Klonowski, E. Olejarczyk, R. Stepien, P. Jaiowiecki, R. Rudner: Methods of Monitoring of the Depth of Anaesthesia, P-372355, Patent Office, Warsaw 2005.