Calibration of the Computer Science and Applications, Inc. accelerometer
Calibration of the Computer Science and Applications, Inc. accelerometer
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DOI：
10.1097/00005768-199805000-00021
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发表时间：
1998-05-01
期刊：
影响因子：
--
通讯作者：
Sirard, J
中科院分区：
文献类型：
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作者：
Freedson, PS;Melanson, E;Sirard, J
目的：我们建立了计算机科学与应用程序公司（CSA）活动监视器的加速度计数范围，与常用的MET类别相对应。方法：在跑步机运动中以三种不同的速度（4.8、6.4和9.7 km.h（-1））从50名成年人（25名男性，25名女性）获得数据。结果：活动计数和稳态氧的消耗高度相关（r = 0.88），计数范围对应于光，中度，硬强度和非常硬的强度水平小于或等于1951，1952-5724，5725-9498 ，分别大于或等于9499 CNTs.min（-1）。使用35名受试者的随机样本（r（2）= 0.82，参见= 1.40 kcal.min（-1））的数据开发了一种预测活性计数和体重的能量消耗的模型。与其余15名受试者的数据交叉验证显示，在任何跑步机速度下，实际和预测能量支出之间没有显着差异（请参见= 0.50-1.40 kcal.min（-1））。结论：这些数据提供了一个模板，可以使用CSA加速度计将活动模式分为强度水平。
Purpose: We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. Methods: Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km.h(-1)). Results: Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding to light, moderate, hard, and very hard intensity levels were less than or equal to 1951, 1952-5724, 5725-9498, greater than or equal to 9499 cnts.min(-1), respectively. A model to predict energy expenditure from activity counts and body mass was developed using data from a random sample of 35 subjects (r(2) = 0.82, SEE = 1.40 kcal.min(-1)). Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed (SEE = 0.50-1.40 kcal.min(-1)). Conclusions: These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.