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
Link To Document :
بازگشت