Effective management of device-supported patients in the Intensive Care Unit (ICU) is complex, involving the interpretation of large volumes of high frequency data from numerous cardiac and respiratory parameters presented by the ICU monitors. ICU Clinical Decision Support systems can play an important role in assisting medical staff in terms of its ability to disentangle and comprehend large amount of physiological datasets with a number of explanatory variables. We propose data wavelets as a data mining approach for analyzing historical ICU data for deriving trends. We propose a clinical decision support system that uses the trends to assist medical staff by performing temporal reasoning to determine the outcome of therapies and to reason qualitatively to remove clinically insignificant events and to identify clinical conditions.

1. Sukuvaara, T.I., Sydanmaa, M.E., Nieminen, H.O., Heikela, A., Koski, E.M.J. (1993), Object-Oriented Implementation of an Architecture for Patient Monitoring, IEEE Engineering in Medicine and Biology, Volume 12, Issue 4, pages 69-81, December 1993.
2. Salatian A., Adepoju F., Odinma A. (2010) A Data Wavelets Approach to Deriving Trends in Historical ICU Monitor Data, Proceedings of the 2010 IEEE Sensors Applications Symposium, pages 162 – 165, IEEE Cat No: CFP10SAS-CDR, ISBN 978-1-4244-2787-1/09, Limerick, Ireland, 23-25 February 2010.
3. Amara G. (1995) Journal of Computational Science and Engineering, Summer 1995, vol. 2, num. 2, published by the IEEE Computer Society, 10662 Los Vaqueros Circle, Los Alamitos, CA 90720, USA, 1995.
4. Priestley M.B. (1981) Spectral Analysis and Time Series. (Vol. 1): Univariate Series. London: Academic Press, 1981.
5. Kendall M. (1973) Time Series. London: Charles Griffin, 1973.
6. Brillinger D. (1994) Some river wavelets. Journal of Enivronmetrics, Vol 5, pages 211–220, 1994.
7. Brillinger D. (1996) Some uses of cumulants in wavelet analysis. Journal of Nonparametric Statistics Vol 6, pages 93–114, 1996.
8. Nico M. Temme, N.M. (1991) Asymptotics and Numerics of Zeros of Polynomials that are Related to Daubechies Wavelets, 1991.
9. Kohane I. S. (1986) Temporal Reasoning in Medical Expert Systems, Boston University School of Medicine, Boston, MA 02118 U.S.A, 1986.
10. Salatian A. (2003) Interpreting Historical ICU Data Using Associational and Temporal Reasoning, 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), Sacramento, California, USA, pages 442-450, ISBN 0-7695-2038-3, ISSN 1082-3409, 3-5 November 2003.
11. Allen J. F. (1981) Maintaining Knowledge about Temporal Intervals, Department of Computer Science, University of Rochester, Rochester, NY 14627, TR 86, 1981.
12. Shahar Y. (1997) A Framework for Knowledge-Based Temporal Abstraction, Artificial Intelligence in Medicine, pp 79-133, 1997.
13. Salatian A., Hunter J. R. W. (1999) Deriving trends in historical and real-time continuously sampled medical data, Journal of Intelligent Information Systems, 13:47-74, ISSN 0925-9902, 1999.
14. DeCoste D. (1991) Dynamic across-time measurement interpretation, Artificial Intelligence 51, pp 273-341, 1991.
15. Davies PL, Fried R, Gather U. Robust signal extraction for on-line monitoring data. J Stat Plan Infer 2003;122:65–78.
16. Fried R. Robust filtering of time series with trends. J Nonparametr Stat 2004; 6: 313–28 (Special Issue).
17. Charbonnier S, Becq G, Biot L. On-line segmentation algorithm for continuously monitored data in intensive care units. IEEE Trans Biomed Engl 2004;51:484–92.
18. Kohane I.S., Haimowitz I. J. (1993) Hypothesis-Driven Data Abstraction with Trend Templates, Symposium on Computer Applications in Medical Care, 1993.
19. Steimann F., Adlassnig K.P. (1994) Two-Stage Interpretation of ICU Data Based on Fuzzy Sets, Working Notes of AAAI Spring Symposium Series: Interpreting Clinical Data, pp 152-156, Stanford University, arch 21-23, 1994.
20. Miksch S., Horn W., Popow, C., Paky F. (1995) Therapy Planning Using Qualitative Trend Descriptions, Proceeding of the 5th Conference of Artificial Intelligence in Medicine Europe, (AIME 95), June 25-28, Pavia, Italy, 1995.
21. Tak-Wai Hau D. (1994) Learning Qualitative Models from Physiological Signals, Master of Science in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1994.

signal processing medicine time-series analysis data mining wavelets