Towards symbolization of intensive monitoring data for knowledge based inference systems
- 1 January 1988
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1282-1284 vol.3
- https://doi.org/10.1109/iembs.1988.95052
Abstract
Computer programs have been built for automatic collection of all intensively monitored physiological data, their storage and retrieval, graphically browsing the data, and testing any processing methods. A robust method for performing symbolization is proposed and tested with real data using the programs mentioned above. The method for performing symbolization is based on the use of a median filter bank for extraction of activities within speed of variation ranges. These are used to characterize the signal contents in terms of variability to extract information about short-term activity and long-term trends. The symbolic description of the signal at a given moment is based on this information. The authors' method also gives information about the credibility of the activity findings and their symbolic representation.Keywords
This publication has 1 reference indexed in Scilit:
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