382
P. Martínez-Vázquez et al.
25. S.R. Lewis et al., Bispectral index for improving intraoperative awareness and early postoperative recovery in adults. Cochrane Database Syst. Rev. 9 (Sept. 2019)
26. Z. Liang et al., Multiscale rescaled range analysis of EEG recordings in sevoflurane anesthesia.
Clin. Neurophysiol. 123(4) (2012)
27. M. Luginbuhl et al., Different benefit of bispectal index (BIS) in desflurane and propofol
anesthesia. Acta Anaesthesiol. Scand. 47(2) (2003)
28. C. Luo, W. Zou, Cerebral monitoring of anaesthesia on reducing cognitive dysfunction and
postoperative delirium: a systematic review. J. Int. Med. Res. 46(10) (2018)
29. L.P. Malver et al., Electroencephalography and analgesics. Br. J. Clin. Pharmacol. 77 (1 Jan
2014)
30. P. Martinez-Vazquez et al., Taking on TIVA: Debunking Myths and Dispelling Misunderstandings (Cambridge University press, 2020) (Chapter 9). ISBN: 1316609367
31. G.A. Mashour et al., Prevention of intraoperative awareness with explicit recall in an unselected surgical population: a randomized comparative effectiveness trial. Anesthesiology
117(4) (2012)
32. R.D. Miller, Miller’s Anesthesia, 7th edn. (Churchill Livingstone: Elsevier, Philadelphia, PA,
2015)
33. C.F. Minto et al., Influence of age and gender on the pharmacokinetics and pharmacodynamics
of remifentanil. I. Model development. Anesthesiology 86(1) (1997)
34. S.M. Mousavi et al., A wavelet transform based method to determine depth of anesthesia to
prevent awareness during general anesthesia. Comput. Math Methods Med. (2014)
35. J.N. Muller et al., Monitoring depth of sedation: evaluating the agreement between the Bispectral Index, qCON and the Entropy Module’s State Entropy during flexible bronchoscopy.
Minerva. Anestesiol. 83(6) (2017)
36. P.S. Myles et al., Bispectral index monitoring to prevent awareness during anaesthesia: the
B-Aware randomised controlled trial. Lancet 363(9423) (2004)
37. T. Nguyen-Ky et al., Measuring and reflecting depth of anesthesia using wavelet and power
spectral density. IEEE Trans. Inf. Technol. Biomed. 15(4) (2011)
38. N. Nicolaou et al., EEG-based automatic classification of ‘awake’ versus ‘anesthetized’ state
in general anesthesia using Granger causality. PLoS One 7(3) (2012)
39. E. Niedermeyer, F.L. da Silva, Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, 5th edn (LippincottWilliams & Wilkins, 2005). ISBN: 0781751268
40. E. Olejarczyk, R. Stepien, P. Jalowiecki, W. Klonowski, R. Rudner, Monitoring the depth
of anaesthesia using fractal complexity method. Complex. Mundi. Emerg. Pattern. Nat. 116
(2006)
41. A. Papoulis, S.U. Pillai, Probability, Random Variables, and Stochastic Processes, 4th edn.
(McGraw Hill, Boston, 2002). ISBN: 0-07-366011-6
42. S. Pilge et al., Differences between state entropy and bispectral index during analysis of identical
electroencephalogram signals: a comparison with two randomised anaesthetic techniques. Eur.
J. Anaesthesiol. 32 (2015)
43. W.S. Pritchard, D.W. Duke, K.K. Krieble., Dimensional analysis of resting human EEG. II:
Surrogate-data testing indicates nonlinearity but not low-dimensional chaos. Psychophysiology
32(5) (1995)
44. Y. Punjasawadwong, A. Phongchiewboon, N. Bunchungmongkol, Bispectral index for improving anaesthetic delivery and postoperative recovery. Cochrane Database Syst. Rev. 6 (2014)
45. P.L. Purdon et al., Electroencephalogram signatures of loss and recovery of consciousness from
propofol. PNAS 110(12) (2013)
46. W. Riad, M. Schreiber, A.B. Saeed., Monitoring with EEG entropy decreases propofol requirement and maintains cardiovascular stability during induction of anaesthesia in elderly patients.
Eur. J. Anaesthesiol. 24(8) (2007)
47. A. Rigouzzo et al., The relationship between bispectral index and propofol during targetcontrolled infusion anesthesia: a comparative study between children and young adults. Anesth.
Analg. 106(4) (2008)
P. Martínez-Vázquez et al.
25. S.R. Lewis et al., Bispectral index for improving intraoperative awareness and early postoperative recovery in adults. Cochrane Database Syst. Rev. 9 (Sept. 2019)
26. Z. Liang et al., Multiscale rescaled range analysis of EEG recordings in sevoflurane anesthesia.
Clin. Neurophysiol. 123(4) (2012)
27. M. Luginbuhl et al., Different benefit of bispectal index (BIS) in desflurane and propofol
anesthesia. Acta Anaesthesiol. Scand. 47(2) (2003)
28. C. Luo, W. Zou, Cerebral monitoring of anaesthesia on reducing cognitive dysfunction and
postoperative delirium: a systematic review. J. Int. Med. Res. 46(10) (2018)
29. L.P. Malver et al., Electroencephalography and analgesics. Br. J. Clin. Pharmacol. 77 (1 Jan
2014)
30. P. Martinez-Vazquez et al., Taking on TIVA: Debunking Myths and Dispelling Misunderstandings (Cambridge University press, 2020) (Chapter 9). ISBN: 1316609367
31. G.A. Mashour et al., Prevention of intraoperative awareness with explicit recall in an unselected surgical population: a randomized comparative effectiveness trial. Anesthesiology
117(4) (2012)
32. R.D. Miller, Miller’s Anesthesia, 7th edn. (Churchill Livingstone: Elsevier, Philadelphia, PA,
2015)
33. C.F. Minto et al., Influence of age and gender on the pharmacokinetics and pharmacodynamics
of remifentanil. I. Model development. Anesthesiology 86(1) (1997)
34. S.M. Mousavi et al., A wavelet transform based method to determine depth of anesthesia to
prevent awareness during general anesthesia. Comput. Math Methods Med. (2014)
35. J.N. Muller et al., Monitoring depth of sedation: evaluating the agreement between the Bispectral Index, qCON and the Entropy Module’s State Entropy during flexible bronchoscopy.
Minerva. Anestesiol. 83(6) (2017)
36. P.S. Myles et al., Bispectral index monitoring to prevent awareness during anaesthesia: the
B-Aware randomised controlled trial. Lancet 363(9423) (2004)
37. T. Nguyen-Ky et al., Measuring and reflecting depth of anesthesia using wavelet and power
spectral density. IEEE Trans. Inf. Technol. Biomed. 15(4) (2011)
38. N. Nicolaou et al., EEG-based automatic classification of ‘awake’ versus ‘anesthetized’ state
in general anesthesia using Granger causality. PLoS One 7(3) (2012)
39. E. Niedermeyer, F.L. da Silva, Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, 5th edn (LippincottWilliams & Wilkins, 2005). ISBN: 0781751268
40. E. Olejarczyk, R. Stepien, P. Jalowiecki, W. Klonowski, R. Rudner, Monitoring the depth
of anaesthesia using fractal complexity method. Complex. Mundi. Emerg. Pattern. Nat. 116
(2006)
41. A. Papoulis, S.U. Pillai, Probability, Random Variables, and Stochastic Processes, 4th edn.
(McGraw Hill, Boston, 2002). ISBN: 0-07-366011-6
42. S. Pilge et al., Differences between state entropy and bispectral index during analysis of identical
electroencephalogram signals: a comparison with two randomised anaesthetic techniques. Eur.
J. Anaesthesiol. 32 (2015)
43. W.S. Pritchard, D.W. Duke, K.K. Krieble., Dimensional analysis of resting human EEG. II:
Surrogate-data testing indicates nonlinearity but not low-dimensional chaos. Psychophysiology
32(5) (1995)
44. Y. Punjasawadwong, A. Phongchiewboon, N. Bunchungmongkol, Bispectral index for improving anaesthetic delivery and postoperative recovery. Cochrane Database Syst. Rev. 6 (2014)
45. P.L. Purdon et al., Electroencephalogram signatures of loss and recovery of consciousness from
propofol. PNAS 110(12) (2013)
46. W. Riad, M. Schreiber, A.B. Saeed., Monitoring with EEG entropy decreases propofol requirement and maintains cardiovascular stability during induction of anaesthesia in elderly patients.
Eur. J. Anaesthesiol. 24(8) (2007)
47. A. Rigouzzo et al., The relationship between bispectral index and propofol during targetcontrolled infusion anesthesia: a comparative study between children and young adults. Anesth.
Analg. 106(4) (2008)