CAJ | 학술논문

目的：：评价RT3三轴加速度传感器测量20种身体活动效度水平,验证其能耗预测模型精度,并试图推导精度更高的适合中国人群的能耗预测模型。方法：运用间接热量测定法,测试14名男性和16名女性共计20项活动能耗水平,测量项目包括：2mph步行、3mph步行、3mph 3%坡度斜坡行走、3mph 8%坡度斜坡行走、4mph快走、4mph 3%坡度斜坡快走、5mph慢跑、6mph中速跑、中速跳绳、快速跳绳、10mph骑自行车、13mph骑自行车、沿楼梯上楼、沿楼梯下楼、擦桌子、洗衣服、拖地、打乒乓球、上肢力量、下肢力量测试。结果：RT3三轴加速度传感器三轴矢量和、垂直轴、矢状轴、水平轴counts与实测MET的一元线性回归方程R2分别为0.63、0.62、0.59,0.46,表明RT3三轴counts对于活动均较为敏感,呈现一定程度同步变化。 RT3矢量和与垂直轴counts无论是测量步行,还是测量日常生活活动,与实测MET的一元线性回归方程的R2均一致。结论：使用三轴加速度传感器未体现明显优于单轴加速度传感器。 RT3自身能耗预测模型不适合中国人群。 RT3可以较好感应不同速度步行运动,但仍然无法感应坡度步行、上下楼运动,本研究推导的步行回归公式及常见活动回归公式预测能耗的准确度高于国外公式,但仍然存在一定误差。
목적：：평개RT3삼축가속도전감기측량20충신체활동효도수평,험증기능모예측모형정도,병시도추도정도경고적괄합중국인군적능모예측모형。방법：운용간접열량측정법,측시14명남성화16명녀성공계20항활동능모수평,측량항목포괄：2mph보행、3mph보행、3mph 3%파도사파행주、3mph 8%파도사파행주、4mph쾌주、4mph 3%파도사파쾌주、5mph만포、6mph중속포、중속도승、쾌속도승、10mph기자행차、13mph기자행차、연루제상루、연루제하루、찰탁자、세의복、타지、타핑퐁구、상지역량、하지역량측시。결과：RT3삼축가속도전감기삼축시량화、수직축、시상축、수평축counts여실측MET적일원선성회귀방정R2분별위0.63、0.62、0.59,0.46,표명RT3삼축counts대우활동균교위민감,정현일정정도동보변화。 RT3시량화여수직축counts무론시측량보행,환시측량일상생활활동,여실측MET적일원선성회귀방정적R2균일치。결론：사용삼축가속도전감기미체현명현우우단축가속도전감기。 RT3자신능모예측모형불괄합중국인군。 RT3가이교호감응불동속도보행운동,단잉연무법감응파도보행、상하루운동,본연구추도적보행회귀공식급상견활동회귀공식예측능모적준학도고우국외공식,단잉연존재일정오차。
Objective:The aim of this study was to evaluate the validity of RT3 Triaxial accelerometer in the aspects of measuring different types of physical activity and verify the precision accuracy of energy expenditure prediction model in the RT3 software in order to develop more accurate energy expenditure prediction formula for Chinese. Methods:In the method of Indirect heat measurement, 14 males and 16 females completed 20 activities inclu-ding 2mph walking, 3mph walking, 3mph 3% grade walking, 3mph 8% grade walking, 4mph brisk walking, 4mph 3% grade brisk walking, 5mph and 6mph running, slow and quick skipping, 10mph and 13mph bicycle riding, ascending stairs, descending stairs, cleaning table, washing clothes, mopping floor, playing table ten-nis, strength testing for upper limb and lower limb. Results:The R2 between counts of vector magnitude, Verti-cal (V), medial–lateral (ML), anterior–posterior (AP) planes and METs were0. 63、0. 62、0. 59,0. 46, the results showed three axis could occur synchronous changes with physical activities. The R2 between counts of vector magnitude counts , vertical counts and METs were almost same when measuring not only walking but also daily living activities. Conclusions:Using three-axis accelerometer is not considered much better than u-niaxial acceleration sensor. RT3 itself consumption prediction model is not suitable for Chinese people . RT3 could sensitively measure flat walking, but couldn' t accurately detect walking on slope, ascending and de-scending stairs. Regression formulas according to walking and all activities in the research and Common activi-ties regression formula have more accuracy in predicting energy consumption than foreign formulas;however the error is still inevitable.