| Objective Using Indirect calorimetry Cosmed K4b2 as the reference to verify the accelerometry and heart rate monitor(Actiheart) energy expenditure prediction effectiveness equation in the site of project of middle school students in China. Then, use the the accelerometry and heart rate monitor(Actiheart) to measure middle school students’ special physical education classes. The intensity level of physical activity and exercise evaluation, provide reference for the reform of special physical education classes.Methods We selected 26 middle school students aged 11-17 years old, the subjects wearing Cosmed K4b2 gas analyzer and Actiheart, wear testing instrument, keep pace with the K4b2 to record the time, complete indoor repose, homework, standard broadcasting gymnastics, rope skipping, outside the normal pace, brisk walking, jogging, running speed, measured the energy expenditure of the project index.We selected 60 middle school students aged 15-17 years old, wearing a heart rate combined with acceleration sensor, real-time record of the subjects of physical education courses during the period of energy expenditure and heart rate per minute,assess basketball, volleyball, table tennis, assessment, martial arts and the football physical activity.Through the Actiheart Software derived from Actiheart three prediction model(ACC model, HR model and ACC+HR model of data records per minute). Data processing using JMP10.0 and SPSS18.0, compared with the energy expenditure and the paired samples T test, P<0.05, the difference was statistically significant, and all the data were expressed by Mean±SD.Results1 Compared with ACC model and HR model, ACC+HR prediction model results show no significant difference between reference value of K4b2 in the rope skipping,walking, jogging and running away in the project(P>0.05). Three prediction model to predict energy expenditure results in normal compared to the reference value of K4b2 was significant difference(P<0.05). The HR model predict homework is better than the ACC+HR and ACC model compared to the K4b2 reference value(P>0.05).2 The activity intensity definition by the MET value, a special course of football,basketball, volleyball, table tennis and martial arts classes class average MVPA ratio was 81.23%±15.53%, 65.12%±24.04%, 52.39%±23.86%, 30%±25.28% and20.38%±17.37%.3 The activity intensity definition by the HRmax%, a special course of football,basketball, volleyball, table tennis and martial arts classes class average MVPA ratio was 80.67%±18.19%, 71.42%±22.43%, 68.88%±28.68%, 29.21%±24.74% and28.88%±24.91%.4 Independent T test results show that the MVPA length and ratio defined by the MET value and the HRmax% is basically the same, the difference was not statistically significant(P>0.05).Conclusions1 ACC+HR prediction model compared with ACC and HR prediction model has better prediction ability in the rope skipping, walking, jogging and running speed of these projects.2 The activity intensity definition by the MET value results is similar with The activity intensity definition by the HRmax% results, suggesting that the two methods can be used in the same population grouping method.3 The activity intensity definition by the MET value and the HRmax% results, found the special course of football, basketball and volleyball class MVPA reached the Healthy People 2010 recommended amount, table tennis and martial arts classes did not reach the recommended amount of exercise intensity, suggesting that in the future special physical education should strengthen the regulation and control. |
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