DocumentCode
1604862
Title
Monitoring the fuzziness of human vital parameters
Author
Schuh, Christian J.
Author_Institution
Sect. on Med. Expert & Knowledge-Based Syst., Med. Univ. of Vienna, Vienna
fYear
2008
Firstpage
1
Lastpage
6
Abstract
In critical care, patients are surrounded by a multitude of devices for monitoring, diagnostics, and therapy. These devices include patient monitors to measure and monitor human vital parameters, therapeutic devices to support or replace impaired or failing organs and also to administer medications and fluids for the patients. In this special environment the complexity of biological systems makes traditional quantitative approaches of analysis inappropriate. There is an unavoidable substantial degree of fuzziness in the description of the behavior of biological systems as well as their characteristics. Fuzzy logic provides a suitable basis for the ability to summarize and extract from masses of data impinging upon the human brain those facts that are related to the performance of the task at hand. Therefore, this approach may be very suitable for intensive care medicine, where experience and intuition play an important role in decision-making. This paper surveys the utilisation of the fuzzy set theory in medical sciences in general, as well as on the basis of two concrete medical fuzzy applications.
Keywords
decision making; diseases; fuzzy control; fuzzy logic; fuzzy set theory; intelligent control; medical control systems; patient care; patient monitoring; GlucoNotify system; acute respiratory distress syndrome; biological systems; decision-making; fuzziness monitoring; fuzzy knowledge-based hyperglycaemia control program; fuzzy set theory; human vital parameters; intelligent online patient monitoring system; intensive care medicine; medical fuzzy applications; therapeutic devices; Anthropometry; Biological systems; Condition monitoring; Data mining; Fuzzy logic; Fuzzy set theory; Humans; Medical diagnostic imaging; Medical treatment; Patient monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location
New York City, NY
Print_ISBN
978-1-4244-2351-4
Electronic_ISBN
978-1-4244-2352-1
Type
conf
DOI
10.1109/NAFIPS.2008.4531323
Filename
4531323
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