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Computational and Mathematical Methods in Medicine
Volume 2011, Article ID 143480, 11 pages
http://dx.doi.org/10.1155/2011/143480
Research Article

Reducing False Alarms of Intensive Care Online-Monitoring Systems: An Evaluation of Two Signal Extraction Algorithms

1Fakultät Statistik, Technische Universität Dortmund, 44227 Dortmund, Germany
2Universitätsklinikum Regensburg, 93042 Regensburg, Germany
3Helios Klinikum Berlin-Buch, 13125 Berlin, Germany
4Abteilung für Medizinische Informatik, Biometrie und Epidemiologie, Ruhr-Universität, Bochum, 44801 Bochum, Germany

Received 16 August 2010; Accepted 11 January 2011

Academic Editor: Yvonne Vergouwe

Copyright © 2011 M. Borowski et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. C. Chambrin, D. Calvelo-Aros, A. Jaborska, C. Chopin, P. Ravaux, and B. Boniface, “Multicentric study at monitoring alarms in the adult intensive care unit (ICU): a descriptive analysis,” Intensive Care Medicine, vol. 25, no. 12, pp. 1360–1366, 1999. View at Publisher · View at Google Scholar · View at Scopus
  2. C. L. Tsien and J. C. Fackler, “Poor prognosis for existing monitors in the intensive care unit,” Critical Care Medicine, vol. 25, no. 4, pp. 614–619, 1997. View at Google Scholar · View at Scopus
  3. M. C. Chambrin, “Alarms in the intensive care unit: how can the number of false alarms be reduced?” Critical Care, vol. 5, no. 4, pp. 184–188, 2001. View at Publisher · View at Google Scholar · View at Scopus
  4. S. T. Lawless, “Crying wolf: false alarms in a pediatric intensive care unit,” Critical Care Medicine, vol. 22, no. 6, pp. 981–985, 1994. View at Google Scholar · View at Scopus
  5. Z. Reslan, Clinical alarm management and noise reduction in hospitals, M.S. thesis, University of Connecticut, 2007.
  6. A. Mäkivirta, E. Koski, A. Kari, and T. Sukuvaara, “The median filter as a preprocessor for a patient monitor limit alarm system in intensive care,” Computer Methods and Programs in Biomedicine, vol. 34, no. 2-3, pp. 139–144, 1991. View at Google Scholar · View at Scopus
  7. R. R. Kennedy, “A modified Trigg's tracking variable as an 'advisory' alarm during anaesthesia,” International Journal of Clinical Monitoring and Computing, vol. 12, no. 4, pp. 197–204, 1995. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Charbonnier, G. Becq, and L. Biot, “On-line segmentation algorithm for continuously monitored data in intensive care units,” IEEE Transactions on Biomedical Engineering, vol. 51, no. 3, pp. 484–492, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Charbonnier and S. Gentil, “A trend-based alarm system to improve patient monitoring in intensive care units,” Control Engineering Practice, vol. 15, no. 9, pp. 1039–1050, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Imhoff and S. Kuhls, “Alarm algorithms in critical monitoring,” Anesthesia and Analgesia, vol. 102, no. 5, pp. 1525–1537, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. P. L. Davies, R. Fried, and U. Gather, “Robust signal extraction for on-line monitoring data,” Journal of Statistical Planning and Inference, vol. 122, no. 1-2, pp. 65–78, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. U. Gather, R. Fried, and V. Lanius, “Robust detail-preserving signal extraction,” in Handbook of Time Series Analysis, M. Winterhalder, B. Schelter, and J. Timmer, Eds., pp. 6–32, Wiley, Berlin, Germany, 2005. View at Google Scholar
  13. U. Gather, K. Schettlinger, and R. Fried, “Online signal extraction by robust linear regression,” Computational Statistics, vol. 21, no. 1, pp. 33–51, 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. A. F. Siegel, “Robust regression using repeated medians,” Biometrika, vol. 69, no. 1, pp. 242–244, 1982. View at Publisher · View at Google Scholar
  15. K. Schettlinger, R. Fried, and U. Gather, “Real-time signal processing by adaptive repeated median filters,” International Journal of Adaptive Control and Signal Processing, vol. 24, no. 5, pp. 346–362, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Borowski, K. Schettlinger, and U. Gather, “Multivariate real time signal processing by a robust adaptive regression filter,” Communications in Statistics—Simulation and Computation, vol. 38, no. 2, pp. 426–440, 2009. View at Google Scholar
  17. R. Fried, K. Schettlinger, and M. Borowski, robfilter: Robust Time Series Filters, R package version 2.6.1, 2010.
  18. P. Rousseeuw and A. Leroy, Robust Regression and Outlier Detection, Wiley, New York, NY, USA, 1987.
  19. V. Lanius and U. Gather, “Robust online signal extraction from multivariate time series,” Computational Statistics and Data Analysis, vol. 54, no. 4, pp. 966–975, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. R. A. Maronna and R. H. Zamar, “Robust estimates of location and dispersion for high-dimensional datasets,” Technometrics, vol. 44, no. 4, pp. 307–317, 2002. View at Google Scholar · View at Scopus
  21. S. Siebig, S. Kuhls, M. Imhoff et al., “Collection of annotated data in a clinical validation study for alarm algorithms in intensive care-a methodologic framework,” Journal of Critical Care, vol. 25, no. 1, pp. 128–135, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. S. Kuhls, S. Siebig, F. Stóßel, and M. Imhoff, “Entwicklung einer Eingabemaske für die Erfassung klinischer Annotationen,” Tech. Rep. 15/06, SFB 475, Technische Universität Dortmund, 2006. View at Google Scholar
  23. S. Kuhls, Planung, Dürchfuhrung und Analyse einer klinischen Studie zur Bewertung und zum Vergleich von Alarmsystemen in der Intensivmedizin, Ph.D. dissertation, Fakultät Statistik, Technische Universität Dortmund, 2008.
  24. M. Görges, B. A. Markewitz, and D. R. Westenskow, “Improving alarm performance in the medical intensive care unit using delays and clinical context,” Anesthesia & Analgesia, vol. 108, no. 5, pp. 1546–1552, 2009. View at Publisher · View at Google Scholar · View at Scopus
  25. M. Imhoff and R. Fried, “The crying wolf: still crying?” Anesthesia and Analgesia, vol. 108, no. 5, pp. 1382–1383, 2009. View at Publisher · View at Google Scholar · View at Scopus