REFERENCES
- DJ Cullenet al., Clinical signs of anesthesia, Anesthesiology, vol 36, pp 21–36, 1972.
- C Prys-Roberts, Anaesthesia: a practical or impractical construct, British Journal of Anaesthesia, vol 59, pp 1341–1345, 1987.
- M Marshall et al., Electroencephalography in anesthetic practice, British Journal of Anaesthesia, vol 37, pp 845–857, 1965.
- IJ Rampil & RS Matteo, Changes in EEG spectral edge frequency correlates with the hemodynamic response to laryngoscopy and intubation, Anesthesiology, vol 67, pp 139–142, 1987.
- W Nahm et al, Concept for an intelligent anesthesia EEG monitor, Medical Informatics, vol 24, pp 1–8, 1999.
- IJ Rampil, A primer for EEG signal processing in anesthesia, Anesthesiology, vol 89, pp 980–1002, 1998.
- I Bankman & I Gath, Feature extraction and clustering of EEG during anaesthesia, Med & Biol Engg & Comput, vol 25, pp 474–477, 1987.
- J Bruhn, H Röpcke & A Höft, Approximate entropy as an electroencephalographic measure of anesthetic drug effect during desflurane anesthesia, Anesthesiology, vol 92, pp 715–726, 2000.
- X S Zhang, R J Roy & E W Jensen, EEG complexity as a measure of depth of anesthesia for patients, IEEE Trans Biomed Engg, vol 48, pp 1424–1433, 2001.
- IA Rezek & S J Roberts, Stochastic complexity measures for physiological signal analysis, IEEE Trans Biomed Engg, vol 45, pp 1186–1191, 1998.
- S Bibian, T Zikov, G A Dumont et al. Method and apparatus for the estimation of the anesthetic depth using wavelet analysis of the electroencephalogram, Patent document # 60/395, pp 313, July 12th 2002.