Rowlands Alex V, Fraysse FranÇois, Catt Mike, Stiles Victoria H, Stanley Rebecca M, Eston Roger G, Olds Tim S
1Health and Use of Time Group, Sansom Institute for Health Research, Division of Health Sciences, University of South Australia, Adelaide, AUSTRALIA; 2Exercise for Health and Human Performance Group, Sansom Institute for Health Research, Division of Health Sciences, University of South Australia, Adelaide, AUSTRALIA; 3Institute for Ageing and Health, Faculty of Medicine, Newcastle University, Newcastle, UNITED KINGDOM; and 4Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UNITED KINGDOM.
Med Sci Sports Exerc. 2015 Jan;47(1):201-10. doi: 10.1249/MSS.0000000000000394.
Accelerometers that provide triaxial measured acceleration data are now available. However, equivalence of output between brands cannot be assumed and testing is necessary to determine whether features of the acceleration signal are interchangeable.
This study aimed to establish the equivalence of output between two brands of monitor in a laboratory and in a free-living environment.
For part 1, 38 adults performed nine laboratory-based activities while wearing an ActiGraph GT3X+ and GENEActiv (Gravity Estimator of Normal Everyday Activity) at the hip. For part 2, 58 children age 10-12 yr wore a GT3X+ and GENEActiv at the hip for 7 d in a free-living setting.
For part 1, the magnitude of time domain features from the GENEActiv was greater than that from the GT3X+. However, frequency domain features compared well, with perfect agreement of the dominant frequency for 97%-100% of participants for most activities. For part 2, mean daily acceleration measured by the two brands was correlated (r = 0.93, P < 0.001, respectively) but the magnitude was approximately 15% lower for the GT3X+ than that for the GENEActiv at the hip.
Frequency domain-based classification algorithms should be transferable between monitors, and it should be possible to apply time domain-based classification algorithms developed for one device to the other by applying an affine conversion on the measured acceleration values. The strong relation between accelerations measured by the two brands suggests that habitual activity level and activity patterns assessed by the GENE and GT3X+ may compare well if analyzed appropriately.
现在已有能提供三轴测量加速度数据的加速度计。然而,不能假定各品牌之间的输出等效,需要进行测试以确定加速度信号的特征是否可互换。
本研究旨在确定两种品牌监测仪在实验室环境和自由生活环境中的输出等效性。
在第1部分中,38名成年人在髋部佩戴ActiGraph GT3X+和GENEActiv(日常正常活动重力估计器)进行9项基于实验室的活动。在第2部分中,58名10 - 12岁的儿童在自由生活环境中于髋部佩戴GT3X+和GENEActiv 7天。
在第1部分中,GENEActiv的时域特征幅度大于GT3X+的。然而,频域特征比较吻合,在大多数活动中,97% - 100%的参与者的主导频率完全一致。在第2部分中,两个品牌测量的日均加速度具有相关性(r分别为0.93,P < 0.001),但GT3X+在髋部测量的加速度幅度比GENEActiv的低约15%。
基于频域的分类算法应可在监测仪之间转换,并且通过对测量的加速度值进行仿射转换,应该能够将为一种设备开发基于时域的分类算法应用于另一种设备。两个品牌测量的加速度之间的强相关性表明,如果进行适当分析,GENE和GT3X+评估的习惯性活动水平和活动模式可能比较吻合。