Physical activity monitoring based on accelerometry: validation and comparison with video observation
Physical activity monitoring based on accelerometry: validation and comparison with video observation
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DOI：
10.1007/bf02513304
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发表时间：
1999-05-01
影响因子：
3.2
通讯作者：
Depairon, M
中科院分区：
文献类型：
--
作者：
Aminian, K;Robert, P;Depairon, M
本可行性研究的目的是评价“Physilog”设备（一种基于加速度测量的非卧床身体活动记录仪）用于监测日常身体活动的使用。在5名正常受试者中，通过Physilog在1小时的时间内记录在胸部和大腿水平处测量的加速度。一个特别设计的工作室一样的房间，允许日常生活中最常见的活动的性能被使用。为每个受试者获取与Physilog同步的视频影片，以检查从Physilog导出的数据的准确性。基于对加速度信号的平均值和偏差的分析，开发了一种算法，将活动分为四类，即躺下，坐着，站立和运动。与视频观察结果相比，该算法的结果显示了10.7%的总体错误分类，这主要是由于动态活动和站立姿势之间的混淆。相比之下，姿势之间的错误分类是可以忽略的。可以得出结论，Physilog可以用于临床环境中的可靠测量和长期记录最常见的身体活动。
The objective of this feasibility study is to evaluate the use of the 'Physilog' device, an ambulatory physical-activity recorder based on acceleration measurement, for the monitoring of daily physical activities. Accelerations measured at the level of the chest and the thigh are recorded by Physilog over a period of 1 h in five normal subjects. A specially designed studio-like room allowing the performance of most usual activities of everyday life is used. A video film synchronised with the Physilog is obtained for each subject to check the accuracy of the data derived from Physilog. Based on the analysis of the average and the deviation of the acceleration signal, an algorithm is developed to classify the activities in four categories, i.e. lying, sitting, standing and locomotion. Compared with the video observations, the results from the algorithm show an overall misclassification of 10.7%, which is mainly due to confusion between dynamic activities and the standing posture. In contrast, the misclassification between postures is negligible. It is concluded that Physilog can be used in the clinical setting for the reliable measurement and long-term recording of most usual physical activities.