Patient-Specific Statistics-Based Decision Support in Health Monitoring Using Fuzzy Logic

Abstract:

In this paper, the usage possibilities of personal statistics are introduced, which can be applied to improve the patient-specific evaluation in health monitoring systems. The aim of these techniques is to obtain reliable results based on previous measurements. This goal can be achieved by membership function tuning or modification, as well as by a pre-processing method, which is used to judge whether a situation is normal or not. In the latter case, a further requirement, that the appropriate result should be available in time, can also be fulfilled. If the situation is judged to be critical then a reduced model is evaluated instead of the full one.

• Periodical: Advanced Materials Research (Volume 1117)
• Pages: 273-276
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1117.273
• Online since: July 2015
• Authors: Edit Tóth-Laufer*, Annamária R. Várkonyi-Kóczy
• Keywords: Fuzzy Logic, Health Monitoring, Personal Statistics

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