On-line extraction of successive temporal sequences from ICU high-frequency data for decision support information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2780 LNAI, Issue , 2003, Pages 1-10

  Charbonnier, Sylvie ^a  

^a GIPSA LAB   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORTS; HIGH FREQUENCY DATA; INTELLIGENT ALARM SYSTEMS; ONLINE EXTRACTION; PHYSICAL MEANINGS; SEGMENTATION ALGORITHMS; SYSTOLIC BLOOD PRESSURE; TEMPORAL SEQUENCES;

DECISION SUPPORT SYSTEMS; ALGORITHMS; BLOOD; HEALTH CARE; INTELLIGENT AGENTS; ONLINE SYSTEMS;

ARTIFICIAL INTELLIGENCE; DATA REDUCTION;

INTELLIGENT ALARM SYSTEMS; ON-LINE EXTRACTION; SYSTOLIC BLOOD PRESSURE;

EID: 0242370869     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39907-0_1     Document Type: Conference Paper

References (12)

1. O'Carrol, T.: Survey of alarms in an intensive therapy units. Anaesthesia 41 (86) 742-744.
2. Beneken, J., Van der A.A. J.: Alarms and their limits in monitoring. J. Clin. Monit. 5 (89) 205-210.
3. Coiera, E.: Intelligent monitoring and control of dynamic physiological systems. Artificial Intelligence in Medicine 5 (93) 1-8.
4. Uckun, S.: Intelligent systems in patient monitoring and therapy management A survey of research projects. International Journal of Clinical Monitoring and Computing 11 (94) 241- 25.
5. Steimann, F.: The interpretation of time-varying data with DIAMON-1. Artificial Intelligence in Medicine 8 (96) 343-357.
6. Avent, R., Charlton, J.: A critical review of trend-detection methodologies for biomedical systems. Critical Reviews in Biomedical Engineering 17 (90) 621-659.
7. Haimowitz, I., Phillip, P. L., Kohane, I.: Clinical monitoring using regression-based trend templates. Artificial Intelligence in Medicine 7 (95) 473-496.
8. Shahar, Y.: A framework for knowledge-based temporal abstraction. Artificial Intelligence in Medicine 90 (97) 79-133.
9. Hunter, J., McIntosh, N.: Knowledge based event detection in complex time series data. AIDM'99, Lecture Notes in Artificial Intelligence 1620, (99), 271-280, .
10. Salatian, A., Hunter, J.R.W.: Deriving trends in historical and real-time continuously sampled medical data. Journal of Intelligent Information Systems 13 (99) 47-71.
11. Calvelo, D., Chambrin, M.C., Pomorski, D., Ravaux, P.: Towards symbolisation using data-driven extraction of local trends for ICU monitoring. Artificial Intelligence in Medicine 1-2 (2000) 203-223.
12. Charbonnier, S., Becq, G., Biot, L., Carry, P., Perdrix, J.P.: Segmentation algorithm for ICU continuously monitored clinical data. 15th World IFAC congress (2002).