메뉴 건너뛰기




Volumn 12, Issue 4, 2008, Pages 393-407

Estimating the depth of anesthesia using fuzzy soft computation applied to EEG features

Author keywords

Depth of anesthesia; Electroencephalogram (EEG); Fuzzy logic; Linguistic rules; Spectral analysis

Indexed keywords


EID: 51149098963     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/ida-2008-12406     Document Type: Article
Times cited : (25)

References (22)
  • 1
    • 0031955077 scopus 로고    scopus 로고
    • Power Spectral Analysis of The Electroencephalogram During Increasing End-Expiratory Concentrations of Isoflurane and Sevoflurane
    • D. Schwender, M. Daunerer, S. Klasing, U. Finsterer and K. Peter, Power Spectral Analysis of The Electroencephalogram During Increasing End-Expiratory Concentrations of Isoflurane and Sevoflurane, Anesthesiology 53 (1998), 335-342.
    • (1998) Anesthesiology , vol.53 , pp. 335-342
    • Schwender, D.1    Daunerer, M.2    Klasing, S.3    Finsterer, U.4    Peter, K.5
  • 2
    • 0035105170 scopus 로고    scopus 로고
    • Biphasic EEG Changes in Relation to Loss of Consciosness During Induction with Thiopental, Propofol, Etomidate, Midazolam or Sevoflurane
    • K. Kuizenga, J.M.K.H. Wierda and C.J. Kalkman, Biphasic EEG Changes in Relation to Loss of Consciosness During Induction with Thiopental, Propofol, Etomidate, Midazolam or Sevoflurane, Br J Anaesth 86 (3) (2001), 354-360.
    • (2001) Br J Anaesth , vol.86 , Issue.3 , pp. 354-360
    • Kuizenga, K.1    Wierda, J.M.K.H.2    Kalkman, C.J.3
  • 3
    • 0030056570 scopus 로고    scopus 로고
    • Spectral Edge Frequency of The Electroencephalogram to Monitor Depth of Anaesthesia with Isoflurane or Propofol
    • D. Schwender, M. Daunerer, S. Mulzer, S. Klasing, U. Finstere and K. Peter, Spectral Edge Frequency of The Electroencephalogram to Monitor Depth of Anaesthesia with Isoflurane or Propofol, Br J Anaeseh 77 (1996), 179-184.
    • (1996) Br J Anaeseh , vol.77 , pp. 179-184
    • Schwender, D.1    Daunerer, M.2    Mulzer, S.3    Klasing, S.4    Finstere, U.5    Peter, K.6
  • 4
    • 2542562742 scopus 로고    scopus 로고
    • Bispectral index monitoring to prevent awareness during anaesthesia: The B-AWARE randomized controlled trial
    • P. Myles, K. Leslie, J. McNeil, A. Forbes and M. Chan, Bispectral index monitoring to prevent awareness during anaesthesia: The B-AWARE randomized controlled trial, Lancet 363 (2004), 1757-1763.
    • (2004) Lancet , vol.363 , pp. 1757-1763
    • Myles, P.1    Leslie, K.2    McNeil, J.3    Forbes, A.4    Chan, M.5
  • 7
    • 33744971857 scopus 로고    scopus 로고
    • Comparison of Entropy and Complexity Measures for the Assessment of Depth of Sedation
    • R. Ferenets et al., Comparison of Entropy and Complexity Measures for the Assessment of Depth of Sedation, IEEE Trans Biomed Eng 53 (6) (2006), 1067-1077.
    • (2006) IEEE Trans Biomed Eng , vol.53 , Issue.6 , pp. 1067-1077
    • Ferenets, R.1
  • 8
    • 0035090998 scopus 로고    scopus 로고
    • Derived Fuzzy Knowledge Model for Estimating the Depth of Anesthesia
    • X.-S. Zhang and R.J. Roy, Derived Fuzzy Knowledge Model for Estimating the Depth of Anesthesia, IEEE Trans Biomed Eng 48(2001), 312-323.
    • (2001) IEEE Trans Biomed Eng , vol.48 , pp. 312-323
    • Zhang, X.-S.1    Roy, R.J.2
  • 9
    • 0034946118 scopus 로고    scopus 로고
    • Shannon Entropy Applied to the Measurement of the Electroencephalographic Effects of Desflurane
    • J. Bruhn, L.E. Lehmann, H. Röpcke, T.W. Bouillon and A. Hoeft, Shannon Entropy Applied to the Measurement of the Electroencephalographic Effects of Desflurane, Anesthesiology 95 (2001), 30-35.
    • (2001) Anesthesiology , vol.95 , pp. 30-35
    • Bruhn, J.1    Lehmann, L.E.2    Röpcke, H.3    Bouillon, T.W.4    Hoeft, A.5
  • 10
    • 11144322974 scopus 로고    scopus 로고
    • Application of Spectral Entropy to EEG and Facial EMG Frequency Bands for the Assessment of Level of Sedation in ICU
    • San Francisco, CA
    • R. Rautee, T. Sampson, M. Särkel, S. Melto, S. Hovilehto and M. van Gils, Application of Spectral Entropy to EEG and Facial EMG Frequency Bands for the Assessment of Level of Sedation in ICU, in: Proc. 26th IEEE EMBS Annu. Int. Conf. (EMBC'04), San Francisco, CA, 2004, 3481-3484.
    • (2004) Proc. 26th IEEE EMBS Annu. Int. Conf. (EMBC'04) , pp. 3481-3484
    • Rautee, R.1    Sampson, T.2    Särkel, M.3    Melto, S.4    Hovilehto, S.5    van Gils, M.6
  • 11
    • 0035200464 scopus 로고    scopus 로고
    • EEG Complexity as a Measure of Depth of Anesthesia for Patients
    • 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 48 (12) (2001), 1424-1433.
    • (2001) IEEE Trans Biomed Eng , vol.48 , Issue.12 , pp. 1424-1433
    • Zhang, X.-S.1    Roy, R.J.2    Jensen, E.W.3
  • 12
    • 0033106220 scopus 로고    scopus 로고
    • The Use of Fuzzy Integrals and Bispectral Analysis of the Electroencephalogram to Predict Movement Under Anesthesia
    • J. Muthuswamy and R.J. Roy, The Use of Fuzzy Integrals and Bispectral Analysis of the Electroencephalogram to Predict Movement Under Anesthesia, IEEE Trans Biomed Eng vol. 46, no. 3, pp. 291-299, 1999.
    • (1999) IEEE Trans Biomed Eng , vol.46 , Issue.3 , pp. 291-299
    • Muthuswamy, J.1    Roy, R.J.2
  • 13
    • 0031172638 scopus 로고    scopus 로고
    • Design of a Recognition System to Predict Movement During Anesthesia
    • A. Sharma and R.J. Roy, Design of a Recognition System to Predict Movement During Anesthesia, IEEE Trans Biomed Eng 44(6) (1997), 505-511.
    • (1997) IEEE Trans Biomed Eng , vol.44 , Issue.6 , pp. 505-511
    • Sharma, A.1    Roy, R.J.2
  • 14
    • 26944492619 scopus 로고    scopus 로고
    • Fuzzy Sets in Pattern Recognition and Machine Intelligence
    • S. Mitra and S.K. Pal, Fuzzy Sets in Pattern Recognition and Machine Intelligence, Fuzzy Sets and Systems 156 (2005), 381-386.
    • (2005) Fuzzy Sets and Systems , vol.156 , pp. 381-386
    • Mitra, S.1    Pal, S.K.2
  • 15
    • 31944446994 scopus 로고    scopus 로고
    • Fuzzy logic from the viewpoint of machine intelligence
    • J. Ma, S. Chen and Y. Xu, Fuzzy logic from the viewpoint of machine intelligence, Fuzzy Sets and Systems 157 (2006), 628-634.
    • (2006) Fuzzy Sets and Systems , vol.157 , pp. 628-634
    • Ma, J.1    Chen, S.2    Xu, Y.3
  • 16
    • 33746887801 scopus 로고    scopus 로고
    • Cerebral State Index during Propofol Anesthesia, A Comparison with the Bispectral Index and the A-Line ARX Index
    • E.W. Jensen et al., Cerebral State Index during Propofol Anesthesia, A Comparison with the Bispectral Index and the A-Line ARX Index, Anesthesiology 105 (2006), 28-36.
    • (2006) Anesthesiology , vol.105 , pp. 28-36
    • Jensen, E.W.1
  • 17
    • 28844498476 scopus 로고    scopus 로고
    • Comparative evaluation of the cerebral state index and the bispectral index during target-controlled infusion of propofol
    • October 6
    • T. Zhong, Q.L. Guo, Y.D. Pang, L.F. Peng and C.L. Li, Comparative evaluation of the cerebral state index and the bispectral index during target-controlled infusion of propofol, British Journal of Anaesthesia (October 6, 2005).
    • (2005) British Journal of Anaesthesia
    • Zhong, T.1    Guo, Q.L.2    Pang, Y.D.3    Peng, L.F.4    Li, C.L.5
  • 19
    • 0031657514 scopus 로고    scopus 로고
    • A primer for EEG signal processing in anesthesia
    • I.J. Rampil, A primer for EEG signal processing in anesthesia, Anesthesiology 89 (1998), 980-1002.
    • (1998) Anesthesiology , vol.89 , pp. 980-1002
    • Rampil, I.J.1
  • 20
    • 0029359001 scopus 로고
    • Selecting Fuzzy If-Then Rules for Classification Problems Using Genetic Algorithm
    • H. Ishibuchi, K. Nozaki, N. Yamamoto and H. Tanaka, Selecting Fuzzy If-Then Rules for Classification Problems Using Genetic Algorithm, IEEE Trans Fuzzy Systems 1(3) (1995), 260-270.
    • (1995) IEEE Trans Fuzzy Systems , vol.1 , Issue.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 21
    • 0036458246 scopus 로고    scopus 로고
    • Improving the Performance of Fuzzy Classification Systems by Membership Function Learning and Feature Selection
    • T. Nakashima, G. Nakai and H. Ishibuchi, Improving the Performance of Fuzzy Classification Systems by Membership Function Learning and Feature Selection, IEEE Proc. Int. Conf. Fuzzu systems, 2002.
    • (2002) IEEE Proc. Int. Conf. Fuzzu systems
    • Nakashima, T.1    Nakai, G.2    Ishibuchi, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.