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Study On Body Function Monitoring Of Training And Its DSS For Chinese Elite Badminton Athletes

Posted on:2010-01-08Degree:DoctorType:Dissertation
Country:ChinaCandidate:W B WuFull Text:PDF
GTID:1117360302970978Subject:Human Movement Science
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Checking-up and assessing athletes'training state by BFM (body function monitoring,BFM), it is an important measure of diagnosing competitive capability, and it is also a key part of scientific training nowadays. It is a regular way of BFM by testing physiologic and biochemical indexes, which has been abroad used in sports team. But, current way in BFM has been short of scientific estimate and reference, and training data is processed poor efficiency and information is feed back slowly, which affects training purpose and exactly diagnosing physical performance.The study objects are athletes of Chinese Badminton team (n=48). Body function indexes are tested in time from Feb 9,2006 to Aug 4,2008. The paper has discussed the evaluating means and bound of elite athletes'BFM. By the analysis of time series, body function of badminton athletes'Training is monitored and forecasted. By the model of system dynamics and database technology and so on, the decision support system of BFM for elite badminton athletes'training is studied and constructed.The methods of study are included: document summary, interview survey, mathematics statistics, case analysis, systems analysis and software engineering.The research findings are as follows:(1) The data during BFM for Chinese elite badminton athletes'Training has been analyzed, and the paper has established the measuring scale of grade evaluation for men's and woman's badminton athletes by deviation method and method of percentiles.①The paper has analyzed the changes of body function for Lin and Xie during training. It discovers that Lin's low limits of WBC, HGB, T and T/C are 5.67×109, 142g/L, 721ng/dl and 0.052, and Lin's high limits of CK, BUN and C are 706IU/L, 8.79mmol/L and 19.55ug/dl. Comparing with individual basic value, the descending per cent of WBC, HGB, T and T/C are 17.83%,6.58%,15.38% and 23.53%, and the rising per cent of CK, BUN and C are 112.01%,19.59% and 28.20%. It discovers that Xie's low limits of WBC, HGB, T and T/C are 4.40×109, 116.7g/L, 31.51ng/dl and 0.0022, and Xie's high limits of CK, BUN and C are 230.1IU/L, 5.96mmol/L and 18.88ug/dl. Comparing with individual basic value, the descending per cent of WBC, HGB, T and T/C are 16.98%,6.27%,30.62% and 40.54%, and the rising per cent of CK, BUN and C are 83.35%,27.35% and 20.41%.②The paper has analyzed the changes of body function for men's and woman's badminton athletes during training. The low limits and high limits of BFM for Chinese elite men's and woman's badminton athletes have been discovered. Comparing with individual basic value, the descending per cent of WBC, HGB, T and T/C are 19.04%, 5.27%, 16.45% and 25.00%, and the rising per cent of CK, BUN and C are 105.50%, 21.98% and 22.73% in men's athletes. The descending per cent of WBC, HGB, T and T/C are 17.01%, 5.84%, 27.35% and 33.22%, and the rising per cent of CK, BUN and C are 84.05%, 25.76% and 24.79% in woman's athletes.(2) Using the method of time series, the paper has demonstrated analyses to the time series data of Lin's body function. The model of BFM for badminton athletes'training has been established.By compared the models of AR(1), ARMA(1,1) and ARMA(1,2), and based on adjusted R-squared, akaike info criterion and schwarz criterion, the model of HGB time series is selected ARMA(1,1): Xt=151.2178+0.5276Xt-1 +εt + 0.1928εt-1.(3) By analyzed and designed of database and model, the decision support system of BFM for elite badminton athletes'training is constructed.①Basing on the understandability of DSS's character, mode, constitution and structure and following the requirement analysis of BFM, the DSS of BFM for badminton athletes is constructed by designing of database, model and knowledge base.②Applied database technique, the paper has analyzed and constructed the DBMS for body function monitoring of badminton athletes'training. By used the system, the testing data can be effectively managed, evaluated and analyzed, and assistant decision-making can be provided for the BFM of badminton athletes'training.③Applied system dynamics model, the paper has constructed system dynamics model of BFM for badminton athletes'training by the causal relationships of stock variables(BFL,TLQ,BRQ),flow variables(BFLI,BFLD,TLQI,BRQI) and convertor variables(TT,TI,RT,RM), and has simulated the changes of body function for badminton athletes'training by different projects of adjustment parameter.
Keywords/Search Tags:body function monitoring, time series, database, system dynamics, modeling, decision support system
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