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In order to better guide training according to the training test data, this paper uses the method of the time series data analysis, to obtain the knowledge rules from the training data of rowing through analysis. Namely the basis of different training content and the test project, we establish the different threshold value, thus obtain the athlete training effect of different time: The training excessively...
Testing for nonlinearity is one of the most important preprocessing steps in nonlinear time series analysis. Typically, this is done by means of the linear surrogate data methods. But it is a known fact that the validity of the results heavily depends on the stationarity of the time series. Since most physiological signals are non-stationary, it is easy to falsely detect nonlinearity using the linear...
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