Detailed Information on Publication Record
2007
Fuzzy logic in sports medicine
NOVOTNY, JanBasic information
Original name
Fuzzy logic in sports medicine
Name in Czech
Fuzzy logika ve sportovní medicíně
Authors
NOVOTNY, Jan (203 Czech Republic, guarantor)
Edition
Prague, Vth European Sports Medicine Congress, p. 69-77, 14 pp. 2007
Publisher
Czech Society of Sports Medicine
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
30000 3. Medical and Health Sciences
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
RIV identification code
RIV/00216224:14510/07:00039998
Organization unit
Faculty of Sports Studies
ISSN
Keywords in English
fuzzy logic - sport medicine
Tags
International impact
Změněno: 26/3/2010 10:14, RNDr. JUDr. Vladimír Šmíd, CSc.
V originále
In the sports medicine we deal with diagnostics of health problems and management of movement regimen (therapeutic exercise or sport training). In course of diagnostic process and exercise management we must evaluate a lot of endogenous and exogenous factors (endogenous: biological, physiological, somatic, psychological, social, athletic training etc.; exogenous: environmental, physic, chemical, etc.). The health state as well as a reaction and/or adaptation to the exercise have various symptoms, and there are under impact of many very uncertain factors without a clear border. Values of the factors are expressed by verbs about, approximately, somewhere, very etc. A synoptic diagram of the impact factors is very useful for the description of a relationship among the factors and creation of a support decision computer system. The fuzzy system can evaluate the uncertain input (independent) and output (dependent) factors by fuzzy sets. The fuzzy border between factor values is in intersection of the sets. The uncertain value of factor is expressed by grade of membership to the set. A process of the input factor evaluation and result of the consultation (output factor - solution of the question) is under expert rules and Zadeh max-min principle. The expert rules represent maximum of eventualities of the relationships among factors. A creation of the system is product of the expert team, and its tuning is long-time process. We present example of fuzzy system on a problem solution of cardiac diagnostics of oncological patients and exercise regulation of diabetic patients.
In Czech
Ve sportovní medicíně musíme často řešit problémy, které jsou spúojeny s určitou mírou neurčitosti. Např. vstupní údaje o pacientovi, u něhož řídíme pohybovou léčbu, mohou být vyjádřeny také přídavnými jmény nebo příslovci poněkud, trochu, spíše, trochu málo téměř apod. Tento problém manipulace s nepřesně ohraničenými proměnnými pomáhá řešit fuzzy logika. Je uveden příklad řízení pohybové léčby diabetiků.
Links
| NE5920, research and development project |
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