메뉴 건너뛰기




Volumn 78, Issue 2, 2005, Pages 115-132

On line extraction of temporal episodes from ICU high-frequency data: A visual support for signal interpretation

Author keywords

Decision support; ICU monitoring; Temporal pattern recognition; Trend detection

Indexed keywords

ALGORITHMS; BLOOD; FEATURE EXTRACTION; ONLINE SYSTEMS; PATIENT MONITORING; PERSONNEL; PHYSIOLOGY; PRESSURE EFFECTS; SIGNAL PROCESSING;

EID: 17644408377     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2005.01.003     Document Type: Article
Times cited : (25)

References (26)
  • 1
    • 0024392439 scopus 로고
    • Alarms and their limits in monitoring
    • J.E.W. Beneken, and J. Van der Aa Alarms and their limits in monitoring J. Clin. Monit. 5 1989 205 210
    • (1989) J. Clin. Monit. , vol.5 , pp. 205-210
    • Beneken, J.E.W.1    Van Der Aa, J.2
  • 2
    • 0028300877 scopus 로고
    • Crying wolf: False alarms in a pediatric Intensive Care Unit
    • S. Lawless Crying wolf: false alarms in a pediatric Intensive Care Unit Crit. Care Med. 22 1994 981 985
    • (1994) Crit. Care Med. , vol.22 , pp. 981-985
    • Lawless, S.1
  • 3
    • 0022503076 scopus 로고
    • Survey of alarms in an intensive therapy units
    • T. O'Carrol Survey of alarms in an intensive therapy units Anaesthesia 41 1986 742 744
    • (1986) Anaesthesia , vol.41 , pp. 742-744
    • O'Carrol, T.1
  • 4
    • 0027551918 scopus 로고
    • Intelligent monitoring and control of dynamic physiological systems
    • E. Coiera Intelligent monitoring and control of dynamic physiological systems Artif. Intell. Med. 5 1993 1 8
    • (1993) Artif. Intell. Med. , vol.5 , pp. 1-8
    • Coiera, E.1
  • 5
    • 0028657599 scopus 로고
    • Intelligent systems in patient monitoring and therapy management. a survey of research projects
    • S. Uckun Intelligent systems in patient monitoring and therapy management. A survey of research projects Int. J. Clin. Monit. Comput. 11 1994 241 253
    • (1994) Int. J. Clin. Monit. Comput. , vol.11 , pp. 241-253
    • Uckun, S.1
  • 6
    • 0031069719 scopus 로고    scopus 로고
    • A framework for knowledge-based temporal abstraction
    • Y. Shahar A framework for knowledge-based temporal abstraction Artif. Intell. 90 1997 79 133
    • (1997) Artif. Intell. , vol.90 , pp. 79-133
    • Shahar, Y.1
  • 7
    • 0030200817 scopus 로고    scopus 로고
    • Knowledge-based temporal abstractions in clinical domains
    • Y. Shahar, and M.A. Musen Knowledge-based temporal abstractions in clinical domains Artif. Intell. Med. 8 1996 299 321
    • (1996) Artif. Intell. Med. , vol.8 , pp. 299-321
    • Shahar, Y.1    Musen, M.A.2
  • 9
    • 0029411924 scopus 로고
    • Clinical monitoring using regression-based trend templates
    • I. Haimowitz, P.L. Phillip, and I. Kohane Clinical monitoring using regression-based trend templates Artif. Intell. Med. 7 1995 473 496
    • (1995) Artif. Intell. Med. , vol.7 , pp. 473-496
    • Haimowitz, I.1    Phillip, P.L.2    Kohane, I.3
  • 10
    • 0028306933 scopus 로고
    • A knowledge-based alarm system for monitoring cardiac operated patients - Assessment of clinical performance
    • E.M.J. Koski, T. Sukuvaara, A. Makivirta, and A. Kari A knowledge-based alarm system for monitoring cardiac operated patients - assessment of clinical performance Int. J. Clin. Monit. Comput. 11 1994 79 83
    • (1994) Int. J. Clin. Monit. Comput. , vol.11 , pp. 79-83
    • Koski, E.M.J.1    Sukuvaara, T.2    Makivirta, A.3    Kari, A.4
  • 11
    • 0027272928 scopus 로고
    • A knowledge-based alarm system for monitoring cardiac operated patients - Technical construction and evaluation
    • T. Sukuvaara, E. Koski, A. Makivirta, and A. Kari A knowledge-based alarm system for monitoring cardiac operated patients - technical construction and evaluation Int. J. Clin. Monit. Comput. 10 1993 117 126
    • (1993) Int. J. Clin. Monit. Comput. , vol.10 , pp. 117-126
    • Sukuvaara, T.1    Koski, E.2    Makivirta, A.3    Kari, A.4
  • 12
    • 0025140133 scopus 로고
    • A critical review of trend-detection methodologies for biomedical systems
    • R. Avent, and J. Charlton A critical review of trend-detection methodologies for biomedical systems Crit. Rev. Biomed. Eng. 17 1990 621 659
    • (1990) Crit. Rev. Biomed. Eng. , vol.17 , pp. 621-659
    • Avent, R.1    Charlton, J.2
  • 13
    • 0031647499 scopus 로고    scopus 로고
    • Statistical pattern detection in univariate time series of intensive care on-line monitoring data
    • M. Imhoff, M. Bauer, U. Gather, and D. Lohlein Statistical pattern detection in univariate time series of intensive care on-line monitoring data Intensive Care Med. 24 1998 1305 1314
    • (1998) Intensive Care Med. , vol.24 , pp. 1305-1314
    • Imhoff, M.1    Bauer, M.2    Gather, U.3    Lohlein, D.4
  • 14
    • 0026111234 scopus 로고
    • The median filter as a preprocessor for a patient monitor limit alarm system in intensive care
    • A. Makivirta, E. Koski, A. Kari, and T. Sukuvaara The median filter as a preprocessor for a patient monitor limit alarm system in intensive care Comput. Methods Programs Biomed. 34 1991 139 144
    • (1991) Comput. Methods Programs Biomed. , vol.34 , pp. 139-144
    • Makivirta, A.1    Koski, E.2    Kari, A.3    Sukuvaara, T.4
  • 15
    • 0034235151 scopus 로고    scopus 로고
    • Towards symbolisation using data-driven extraction of local trends for ICU monitoring
    • D. Calvelo, M.C. Chambrin, D. Pomorski, and P. Ravaux Towards symbolisation using data-driven extraction of local trends for ICU monitoring Artif. Intell. Med. 1-2 2000 203 223
    • (2000) Artif. Intell. Med. , vol.1-2 , pp. 203-223
    • Calvelo, D.1    Chambrin, M.C.2    Pomorski, D.3    Ravaux, P.4
  • 16
    • 84862219783 scopus 로고    scopus 로고
    • ICU patient state characterization using machine learning in a time series framework, AIMDM'99
    • D. Calvelo, M.C. Chambrin, D. Pomorski, and P. Ravaux ICU patient state characterization using machine learning in a time series framework, AIMDM'99 Lect. Notes Artif. Intell. 1620 1999 356 360
    • (1999) Lect. Notes Artif. Intell. , vol.1620 , pp. 356-360
    • Calvelo, D.1    Chambrin, M.C.2    Pomorski, D.3    Ravaux, P.4
  • 17
    • 0031069041 scopus 로고
    • Learning qualitative models for dynamic systems
    • D. Hau, and E. Coiera Learning qualitative models for dynamic systems Mach. Learn. 26 2-3 1993 177 211
    • (1993) Mach. Learn. , vol.26 , Issue.2-3 , pp. 177-211
    • Hau, D.1    Coiera, E.2
  • 18
    • 84956869760 scopus 로고    scopus 로고
    • Knowledge based event detection in complex time series data, AIMDM'99
    • J. Hunter, and N. McIntosh Knowledge based event detection in complex time series data, AIMDM'99 Lect. Notes Artif. Intell. 1620 1999 271 280
    • (1999) Lect. Notes Artif. Intell. , vol.1620 , pp. 271-280
    • Hunter, J.1    McIntosh, N.2
  • 20
    • 0030198250 scopus 로고    scopus 로고
    • Managing temporal worlds for medical trend diagnosis
    • I. Haimowitz, P.L. Phillip, and I. Kohane Managing temporal worlds for medical trend diagnosis Artif. Intell. Med. 8 1996 299 321
    • (1996) Artif. Intell. Med. , vol.8 , pp. 299-321
    • Haimowitz, I.1    Phillip, P.L.2    Kohane, I.3
  • 21
    • 0005717257 scopus 로고    scopus 로고
    • Time-oriented analysis of high frequency data in ICU monitoring
    • N. Lavrac E. Keravnou B. Zupan Kluwer Academic Publishers
    • S. Miksh, W. Horn, C. Popow, and F. Paky Time-oriented analysis of high frequency data in ICU monitoring N. Lavrac E. Keravnou B. Zupan Intelligent Data Analysis in Medicine and Pharmacology 1997 Kluwer Academic Publishers 17 36
    • (1997) Intelligent Data Analysis in Medicine and Pharmacology , pp. 17-36
    • Miksh, S.1    Horn, W.2    Popow, C.3    Paky, F.4
  • 22
    • 0030294410 scopus 로고    scopus 로고
    • Utilizing temporal data abstraction for data validation in therapy planning for artificially ventilated newborn infants
    • S. Miksh, W. Horn, C. Popow, and F. Paky Utilizing temporal data abstraction for data validation in therapy planning for artificially ventilated newborn infants Artif. Intell. Med. 8 1996 543 576
    • (1996) Artif. Intell. Med. , vol.8 , pp. 543-576
    • Miksh, S.1    Horn, W.2    Popow, C.3    Paky, F.4
  • 23
    • 0030218093 scopus 로고    scopus 로고
    • The interpretation of time-varying data with DIAMON-1
    • F. Steimann The interpretation of time-varying data with DIAMON-1 Artif. Intell. Med. 8 1996 343 357
    • (1996) Artif. Intell. Med. , vol.8 , pp. 343-357
    • Steimann, F.1
  • 24
    • 0032913269 scopus 로고    scopus 로고
    • Diagnostic monitoring in anaesthesia using fuzzy trend templates for matching temporal patterns
    • A. Lowe, M. Harrison, and R. Jones Diagnostic monitoring in anaesthesia using fuzzy trend templates for matching temporal patterns Artif. Intell. Med. 16 1999 183 199
    • (1999) Artif. Intell. Med. , vol.16 , pp. 183-199
    • Lowe, A.1    Harrison, M.2    Jones, R.3
  • 25
    • 0035031278 scopus 로고    scopus 로고
    • The graphical presentation of decision support information in an intelligent anesthesia monitor
    • A. Lowe, R. Jones, and M. Harrison The graphical presentation of decision support information in an intelligent anesthesia monitor Artif. Intell. Med. 22 2001 173 191
    • (2001) Artif. Intell. Med. , vol.22 , pp. 173-191
    • Lowe, A.1    Jones, R.2    Harrison, M.3
  • 26
    • 1242276321 scopus 로고    scopus 로고
    • On line segmentation algorithm for continuously monitored data in Intensive Care Units
    • S. Charbonnier, G. Becq, and L. Biot On line segmentation algorithm for continuously monitored data in Intensive Care Units IEEE Trans. Biomed. Eng. 51 2004 484 492
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , pp. 484-492
    • Charbonnier, S.1    Becq, G.2    Biot, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.