Korean J Physiol Pharmacol.  2009 Dec;13(6):497-502. 10.4196/kjpp.2009.13.6.497.

Efficient Management Design for Swimming Exercise Treatment

Affiliations
  • 1Department of Computer Engineering, College of Electronics and Information, Kyung Hee University, Yongin 446-701, Korea.
  • 2Technology Support Department, Korea Institute of Industrial Technology, Cheonan 331-825, Korea.
  • 3Department of Physical Education, College of Education, Inha University, Incheon 402-751, Korea.
  • 4Department of Physiology, College of Medicine, Chung-Ang University, Seoul 156-756, Korea.
  • 5Department of Life & Leisure Sport/Sport Industry, College of Sports Science, Chung-Ang University, Anseong 456-756, Korea. choyc33@cau.ac.kr

Abstract

Exercise-mediated physical treatment has attracted much recent interest. In particular, swimming is a representative exercise treatment method recommended for patients experiencing muscular and cardiovascular diseases. The present study sought to design a swimming-based exercise treatment management system. A survey questionnaire was completed by participants to assess the prevalence of muscular and cardiovascular diseases among adult males and females participating in swimming programs at sport centers in metropolitan regions of country. Using the Fuzzy Analytic Hierarchy Process (AHP) technique, weighted values of indices were determined, to maximize participant clarity. A patient management system model was devised using information technology. The favorable results are evidence of the validity of this approach. Additionally, the swimming-based exercise management system can be supplemented together with analyses of weighted values considering connectivity between established indices.

Keyword

Swimming exercise treatment; Fuzzy; AHP; Fuzzy AHP

MeSH Terms

Adult
Cardiovascular Diseases
Female
Humans
Hydroxyproline
Male
Prevalence
Surveys and Questionnaires
Sports
Swimming
Hydroxyproline

Figure

  • Fig. 1. Intersection of M1 and M2.

  • Fig. 2. Status of weighted values with regard to evaluation items.

  • Fig. 3. Analyses of weighted values with regard to indices.

  • Fig. 4. Depiction of grid structure.

  • Fig. 5. Structure of SCM.


Cited by  1 articles

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Chan-Ho Park, Kwi-Baek Kim, Jin Han, Jin-Goo Ji, Yi-Sub Kwak
Korean J Physiol Pharmacol. 2014;18(5):419-423.    doi: 10.4196/kjpp.2014.18.5.419.


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