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Volumn 26 V, Issue , 2004, Pages 3474-3477

Automatic characterization of events on SpO2 signal: Comparison of two methods

Author keywords

Decision support; Intensive care; Trend analysis

Indexed keywords

DECISION SUPPORT SYSTEMS; MEDICAL APPLICATIONS; PARAMETER ESTIMATION; PATIENT TREATMENT; PHYSIOLOGICAL MODELS; PROBLEM SOLVING; REGRESSION ANALYSIS; SIGNAL PROCESSING;

EID: 11144306565     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (7)
  • 1
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    • Alarms in the intensive care unit: How can the number of false alarms be reduced?
    • Aug.
    • M.C. Chambrin, "Alarms in the intensive care unit: how can the number of false alarms be reduced?" Crit Care. Vol 5, no 4, pp. 184-88, Aug. 2001.
    • (2001) Crit Care. , vol.5 , Issue.4 , pp. 184-188
    • Chambrin, M.C.1
  • 2
    • 0034235151 scopus 로고    scopus 로고
    • Towards symbolization using data-driven extraction of local trends for ICU monitoring
    • D. Calvelo, M.C. Chambrin, D. Pomorski, P. Ravaux, "Towards symbolization using data-driven extraction of local trends for ICU monitoring." Artif Intell Med, vol 19, pp. 203-223, 2000.
    • (2000) Artif Intell Med , vol.19 , pp. 203-223
    • Calvelo, D.1    Chambrin, M.C.2    Pomorski, D.3    Ravaux, P.4
  • 3
    • 1242276321 scopus 로고    scopus 로고
    • On line segmentation algorithm for continuously monitored data in intensive care units
    • March
    • S. Charbonnier, G. Becq, L. Biot, "On line segmentation algorithm for continuously monitored data in Intensive Care Units," IEEE Trans. Biomed. Eng., vol. 51, no. 3, pp. 484-492, March 2004.
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , Issue.3 , pp. 484-492
    • Charbonnier, S.1    Becq, G.2    Biot, L.3
  • 4
    • 0242370869 scopus 로고    scopus 로고
    • On line extraction of successive temporal sequences from ICU high frequency data for decision support information
    • AIME03
    • S. Charbonnier "On line extraction of successive temporal sequences from ICU high frequency data for decision support information" AIME03, Lecture notes in Artificial Intelligence 2780, pp. 1-10, 2003.
    • (2003) Lecture Notes in Artificial Intelligence , vol.2780 , pp. 1-10
    • Charbonnier, S.1
  • 5
    • 0025140133 scopus 로고
    • A critical review of trend-detection methodologies for biomedical monitoring systems
    • R.K. Avent, J.D. Charlton,"A critical review of trend-detection methodologies for biomedical monitoring systems", Crit Rev Biomed Eng, vol 17, no 6, pp. 621-659, 1990.
    • (1990) Crit Rev Biomed Eng , vol.17 , Issue.6 , pp. 621-659
    • Avent, R.K.1    Charlton, J.D.2
  • 6
    • 0030198250 scopus 로고    scopus 로고
    • Managing temporal worlds for medical trend diagnosis
    • Jul.
    • I. Haimowitz, I. Kohane,"Managing temporal worlds for medical trend diagnosis", Artif Intell Med, vol 8, no 3, pp. 299-321, Jul. 1996.
    • (1996) Artif Intell Med , vol.8 , Issue.3 , pp. 299-321
    • Haimowitz, I.1    Kohane, I.2
  • 7
    • 0030218093 scopus 로고    scopus 로고
    • The interpretation of time-varying data with DIAMON-1
    • Aug
    • F. Steimann."The interpretation of time-varying data with DIAMON-1," Artif Intell Med, vol 8, no 4, pp. 343-357, Aug 1996
    • (1996) Artif Intell Med , vol.8 , Issue.4 , pp. 343-357
    • Steimann, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.