【摘要】：目的:以智能手機內(nèi)置加速度傳感器為基礎(chǔ),對健身跳繩運動的原始加速度信號處理方法進(jìn)行探討,以此建立健身跳繩的能耗預(yù)測方程,并對其進(jìn)行驗證,進(jìn)而為智能手機在后續(xù)相關(guān)研究中的應(yīng)用奠定基礎(chǔ)。方法:選取54名受試者(27男、27女),實驗組40人,驗證組14人。54名受試者分別同時佩戴1部紅米手機和一套氣體代謝分析儀(Cosmed K4b2)完成兩個部分的測試;測試動作為持續(xù)并步跳,(1)第一部分測試為固定頻率的測試,受試者先靜坐5分鐘,再分別以60次/分鐘、90次/分鐘、120次/分鐘的頻率完成5分鐘的跳繩測試;(2)第二部分測試為建模組的測試,受試者靜坐5分鐘,接著在1×1米的正方形內(nèi)進(jìn)行5分鐘的跳繩測試。通過Matlab7.0軟件對原始信號進(jìn)行濾波、去趨勢和數(shù)據(jù)合成;以K4b2能量消耗的實測值作為因變量,采用逐步回歸方法建立以手機VM(三軸向量計數(shù)值)、年齡、身高、體重等為自變量的預(yù)測方程;使用配對t檢驗、組內(nèi)相關(guān)分析、Bland—Altman圖等方法對手機能耗預(yù)測方程的準(zhǔn)確性進(jìn)行聯(lián)合評價。結(jié)果:第一部分測試中,60次/分鐘、90次/分鐘、120次/分鐘頻率的能量消耗平均值分別為6.37 Kcal/min、8.98Kcal/min、9.76Kcal/min,(P0.05);梅脫值分別為6.00METs/min、8.03 METs/min、8.51METs/min,(P0.05);三種頻率均屬于大強度運動。三種跳繩頻率下男生的能量消耗與女生的能量消耗具有顯著性差異;但三種跳繩頻率下男生的梅脫與女生的梅脫不具有顯著性差異,P值大于0.05。在第二部分測試中,手機VM與跳繩頻率存在相關(guān)性為0.76(P0.01);手機VM與跳繩能耗的相關(guān)系數(shù)為0.55;兩者呈現(xiàn)中等強度的正相關(guān)(P0.01)。建模組手機跳繩能耗預(yù)測方程的相關(guān)系數(shù)R為0.897;判定系數(shù)R2為0.804;方程調(diào)整后的R2為0.799;方程F檢驗的相伴概率值P0.01;預(yù)測方程回歸殘差為1.691。配對t檢驗結(jié)果顯示校標(biāo)能耗實測值與手機預(yù)測值具有顯著性差異(P0.05);組內(nèi)相關(guān)分析的克倫巴赫系數(shù)為0.717;Bland—Altman圖中只有一個點在一致性限度區(qū)間以外,占總點數(shù)比例的2.44%,不高于5%的標(biāo)準(zhǔn)。結(jié)論:(1)三種頻率均屬于大強度的體力活動;依據(jù)本研究所建立的實驗條件,采用120次/分鐘的健身跳繩頻率相比其他頻率的健身效果更為經(jīng)濟有效,也更佳符合人體運動特征。(2)手機垂直軸不適用于健身跳繩運動的監(jiān)測,而采用加速度三軸傳感器對健身跳繩運動的監(jiān)測更為科學(xué)有效。(3)本研究中手機能耗預(yù)測值與校標(biāo)能耗實測值均表現(xiàn)出較好的一致性,智能手機能夠?qū)∩硖K的能量消耗進(jìn)行較好的預(yù)測,可作為補充設(shè)備應(yīng)用到大學(xué)生健身跳繩運動的指導(dǎo)和干預(yù)中。
[Abstract]:Objective: based on the built-in acceleration sensor of smart phone, the original acceleration signal processing method of fitness rope skipping is discussed, and the energy consumption prediction equation of fitness skipping is established and verified. And then lay a foundation for the application of smart phone in the following related research. Methods: 54 subjects (27 males, 27 females), 40 subjects in the experimental group and 14 subjects in the test group, 54 subjects wore a red rice cell phone and a set of gas metabolism analyzer (Cosmed K4b2) at the same time. (1) the first part of the test was a constant frequency test. The subjects sat for 5 minutes first, and then completed the rope skipping test for 5 minutes at the frequency of 60 times per minute, 90 times per minute and 120 times per minute respectively; (2) the second part of the test is the modeling group. The subjects sit in silence for 5 minutes, and then test the skipping rope for 5 minutes in the square of 1 脳 1 meter. The original signal is filtered by Matlab7.0 software, the trend is removed and the data is synthesized. Taking the measured value of K4b2 energy consumption as dependent variable, the prediction equation of mobile phone VM (triaxial meter), age, height, weight and so on was established by stepwise regression method. The accuracy of mobile phone energy consumption prediction equation was evaluated by paired t test, intra-group correlation analysis and Bland-Altman diagram. Results: in the first part of the test, the average energy consumption of 60, 90 and 120 times per minute frequency was 6.37 Kcal/min,8.98Kcal/min,9.76Kcal/min, (P0.05). Meitou value was 6.00METs / mint 8.03 METs/min,8.51METs/min, (P0.05), and the three frequencies belonged to high intensity exercise. There was significant difference in energy expenditure between boys and girls under three kinds of rope skipping frequency, but there was no significant difference between male and female students in three kinds of rope skipping frequencies (P > 0.05). In the second part, the correlation between mobile phone VM and rope skipping frequency was 0.76 (P0.01), and the correlation coefficient between mobile phone VM and rope skipping energy consumption was 0.55. In the model group, the correlation coefficient R is 0.897; the decision coefficient R 2 is 0.804; the adjusted R2 is 0.799; the associated probability value of equation F test is P 0.01; the regression residual of the prediction equation is 1.691. The result of paired t test showed that there was significant difference between the measured value of calibration energy consumption and the predicted value of mobile phone (P0.05), and the Krenbach coefficient of correlation analysis in group was 0.717; There is only one point in the Bland-Altman diagram, which is outside the range of consistency limits, accounting for 2.44% of the total number of points, and is not higher than the standard of 5%. Conclusion: (1) the three kinds of frequency belong to the physical activity of high intensity; According to the experimental conditions established in this study, the fitness effect of skipping rope frequency of 120 times per minute is more economical and effective than that of other frequencies. (2) the vertical axis of mobile phone is not suitable for the monitoring of skipping exercise. The acceleration triaxial sensor is more scientific and effective in the monitoring of fitness skipping movement. (3) in this study, the predicted value of mobile phone energy consumption is in good agreement with the measured value of calibration energy consumption. Smart phone can predict the energy consumption of skipping rope and can be used as supplementary equipment to guide and intervene in skipping exercise of college students.
【學(xué)位授予單位】：四川師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：G898.1

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