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Volumn 107, Issue 1, 1998, Pages 44-58

Automatic EEG analysis during long-term monitoring in the ICU

Author keywords

Clustering; Computer analysis; Intensive care unit; Prolonged EEG; Segmentation

Indexed keywords

ARTICLE; AUTOANALYSIS; CHILD; CLASSIFICATION; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; HEART SURGERY; HUMAN; INFANT; INTENSIVE CARE UNIT; LONG TERM CARE; MAJOR CLINICAL STUDY; NEWBORN; PATIENT MONITORING; PEDIATRIC SURGERY; PRIORITY JOURNAL;

EID: 0031877294     PISSN: 00134694     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0013-4694(98)00009-1     Document Type: Article
Times cited : (146)

References (26)
  • 1
    • 0024415379 scopus 로고
    • Segmentation of EEG during sleep using time-varying autoregressive modeling
    • Amir N., Gath I. Segmentation of EEG during sleep using time-varying autoregressive modeling. Biol. Cybernet. 61:1989;447-455.
    • (1989) Biol. Cybernet. , vol.61 , pp. 447-455
    • Amir, N.1    Gath, I.2
  • 5
    • 0017490015 scopus 로고
    • Feature extraction from the electroencephalogram by adaptive segmentation
    • Bodenstein G., Praetorius J.M. Feature extraction from the electroencephalogram by adaptive segmentation. Proc. IEEE. 65:1977;642-652.
    • (1977) Proc. IEEE , vol.65 , pp. 642-652
    • Bodenstein, G.1    Praetorius, J.M.2
  • 6
    • 0022263139 scopus 로고
    • Computerized EEG pattern classification by adaptive segmentation and probability-density function classification. Description of method
    • Bodenstein G., Schneider W., Malsburg C.V.D. Computerized EEG pattern classification by adaptive segmentation and probability-density function classification. Description of method. Comput. Biol. Med. 15:1985;297-313.
    • (1985) Comput. Biol. Med. , vol.15 , pp. 297-313
    • Bodenstein, G.1    Schneider, W.2    Malsburg, C.V.D.3
  • 7
    • 0022185664 scopus 로고
    • Neurological intensive care unit monitoring
    • In: Rogers, M.C., Traysman, R.J. (Eds.), Saunders, Philadelphia
    • Borel, C., Hanley, D., 1985. Neurological intensive care unit monitoring. In: Rogers, M.C., Traysman, R.J. (Eds.), Critical Care Clinics. Symposium on Neurological Intensive Care. Saunders, Philadelphia, pp. 223-239.
    • (1985) Critical Care Clinics. Symposium on Neurological Intensive Care , pp. 223-239
    • Borel, C.1    Hanley, D.2
  • 9
    • 0021816055 scopus 로고
    • Computerized EEG pattern classification by adaptive segmentation and probability-density-function evaluation
    • Creutzfeldt O.D., Bodenstein G., Barlow J.S. Computerized EEG pattern classification by adaptive segmentation and probability-density-function evaluation. Electroenceph. clin. Neurophysiol. 60:1981;373-393.
    • (1981) Electroenceph. Clin. Neurophysiol. , vol.60 , pp. 373-393
    • Creutzfeldt, O.D.1    Bodenstein, G.2    Barlow, J.S.3
  • 10
    • 0000165413 scopus 로고
    • Electrophysiologic monitoring
    • In: Ropper, A.H., Kennedy, S.K., Zervas, N.T. (Eds.), Aspen, Rockville, MD, 1988
    • Emmerson, R.G., Chiappa, K.H., 1988. Electrophysiologic monitoring. In: Ropper, A.H., Kennedy, S.K., Zervas, N.T. (Eds.), Neurological Neurosurgical Intensive Care, 2nd ed. Aspen, Rockville, MD, 1988.
    • (1988) Neurological Neurosurgical Intensive Care, 2nd Ed.
    • Emmerson, R.G.1    Chiappa, K.H.2
  • 11
    • 0026675081 scopus 로고
    • Automated interictal EEG spike detection using artificial neural networks
    • Gabor A.J., Seyal M. Automated interictal EEG spike detection using artificial neural networks. Electroenceph. clin. Neurophysiol. 83:1992;271-280.
    • (1992) Electroenceph. Clin. Neurophysiol. , vol.83 , pp. 271-280
    • Gabor, A.J.1    Seyal, M.2
  • 12
    • 0018420870 scopus 로고
    • Automatic recognition of interictal epileptic activity in prolonged EEG recordings
    • Gotman J., Ives J.R., Gloor P. Automatic recognition of interictal epileptic activity in prolonged EEG recordings. Electroenceph. clin. Neurophysiol. 46:1979;510-520.
    • (1979) Electroenceph. Clin. Neurophysiol. , vol.46 , pp. 510-520
    • Gotman, J.1    Ives, J.R.2    Gloor, P.3
  • 13
    • 0020382517 scopus 로고
    • Automatic recognition of epileptic seizures in the EEG
    • Gotman J. Automatic recognition of epileptic seizures in the EEG. Electroenceph. clin. Neurophysiol. 54:1982;530-540.
    • (1982) Electroenceph. Clin. Neurophysiol. , vol.54 , pp. 530-540
    • Gotman, J.1
  • 14
    • 0027199942 scopus 로고
    • An automated seizure monitoring system for patients with indwelling recording electrodes
    • Harding G.W. An automated seizure monitoring system for patients with indwelling recording electrodes. Electroenceph. clin. Neurophysiol. 86:1993;428-437.
    • (1993) Electroenceph. Clin. Neurophysiol. , vol.86 , pp. 428-437
    • Harding, G.W.1
  • 15
    • 0027440803 scopus 로고
    • Continuous EEG and evoked potential monitoring in the neuroscience intensive care unit
    • Jordan K.G. Continuous EEG and evoked potential monitoring in the neuroscience intensive care unit. J. Clin. Neurophysiol. 10:1993;445-475.
    • (1993) J. Clin. Neurophysiol. , vol.10 , pp. 445-475
    • Jordan, K.G.1
  • 16
    • 0025635254 scopus 로고
    • On a simple algorithm to calculate the 'energy' of a signal
    • Albuquerque, NM, April 1990
    • Kaiser, J.F., 1990. On a simple algorithm to calculate the 'energy' of a signal. In: IEEE Int. Conf. Acoust., Speech, and Signal Processing, Albuquerque, NM, April 1990, 1: pp. 381-384.
    • (1990) In: IEEE Int. Conf. Acoust., Speech, and Signal Processing , vol.1 , pp. 381-384
    • Kaiser, J.F.1
  • 17
    • 0025886792 scopus 로고
    • Automatic identification of significant graphoelements in multichannel EEG recording by adaptive segmentation and fuzzy clustering
    • Krajca V., Petranek S., Patakova I., Varri A. Automatic identification of significant graphoelements in multichannel EEG recording by adaptive segmentation and fuzzy clustering. Int. J. Biomed. Comput. 28:1991;71-89.
    • (1991) Int. J. Biomed. Comput. , vol.28 , pp. 71-89
    • Krajca, V.1    Petranek, S.2    Patakova, I.3    Varri, A.4
  • 19
    • 84965275348 scopus 로고
    • Device for continuous monitoring of cerebral activity in resuscitated patients
    • Maynard D.E., Prior P.F., Scott D.F. Device for continuous monitoring of cerebral activity in resuscitated patients. Br. Med. J. 4:1969;545.
    • (1969) Br. Med. J. , vol.4 , pp. 545
    • Maynard, D.E.1    Prior, P.F.2    Scott, D.F.3
  • 21
    • 25744480136 scopus 로고
    • Nonlinear signal processing based on parameter invariant moving average modeling
    • Toronto, Canada, September 1992
    • Plotkin, E.I., Swamy, M.N.S., 1992. Nonlinear signal processing based on parameter invariant moving average modeling. In: Proc. CCECE '21, Toronto, Canada, September 1992, pp. TM3.11.1-TM3.11.4.
    • (1992) In: Proc. CCECE '21
    • Plotkin, E.I.1    Swamy, M.N.S.2
  • 23
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward J.H. Hierarchical grouping to optimize an objective function. Am. Stat. Assoc. 58:1963;236-244.
    • (1963) Am. Stat. Assoc. , vol.58 , pp. 236-244
    • Ward, J.H.1
  • 26
    • 0028022769 scopus 로고
    • Prognostic value of continuous electroencephalographic recording in full term infants with hypoxic ischaemic encephalopathy
    • Wertheim D., Mercury E., Faundez J.C., Rutherford M., Acolet D., Dubowitz L. Prognostic value of continuous electroencephalographic recording in full term infants with hypoxic ischaemic encephalopathy. Arch. Dis. Child. 71:1994;F97-F102.
    • (1994) Arch. Dis. Child. , vol.71
    • Wertheim, D.1    Mercury, E.2    Faundez, J.C.3    Rutherford, M.4    Acolet, D.5    Dubowitz, L.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.