The technology of accelerometry-based activity monitors: Current and future
The technology of accelerometry-based activity monitors: Current and future
复制标题
DOI：
10.1249/01.mss.0000185571.49104.82
复制
发表时间：
2005-11-01
期刊：
影响因子：
--
通讯作者：
Bassett, DR
中科院分区：
文献类型：
--
作者：
Chen, KY;Bassett, DR
目的：本文综述了基于加速度计的活动监测器，包括单站点第一代设备，新兴技术和预测能量消耗的分析方法，并提出了进一步研究和开发的建议。研究方法：介绍了加速度计的物理和测量原理，包括传感器特性、数据采集、滤波和积分分析。本文还比较了几种常用的单点加速度计的这些特性。介绍的新兴加速度计技术包括多传感器阵列和加速度计与生理传感器的组合。将加速度计的输出与能量消耗的标准措施（间接热量计和双标记水）进行比较，以建立数学模型（线性，非线性和可变性方法）。结果如下：传感器和数据处理技术直接影响结果测量的结果（活动计数和能量消耗预测）。多点评估和将加速度计与生理测量相结合可以提供额外的优势。使用来自多个地点和方向的加速度计输出来预测能量消耗的非线性方法可以提高准确性。结论：便携式加速度计的发展使客观评估身体活动成为可能。未来的技术改进将包括检查原始加速度信号和开发先进的模型，以准确预测能量消耗。
Purpose: This paper reviews accelerometry-based activity monitors, including single-site first-generation devices, emerging technologies, and analytical approaches to predict energy expenditure, with suggestions for further research and development. Methods: The physics and measurement principles of the accelerometer are described, including the sensor properties, data collections, filtering, and integration analyses. The paper also compares these properties in several commonly used single-site accelerometers. The emerging accelerometry technologies introduced include the multisensor arrays and the combination of accelerometers, with physiological sensors. The outputs of accelerometers are compared with criterion measures of energy expenditure (indirect calorimeters and double-labeled water) to develop mathematical models (linear, nonlinear, and variability approaches). Results: The technologies of the sensor and data processing directly influence the results of the outcome measurement (activity counts and energy expenditure predictions). Multisite assessment and combining accelerometers with physiological measures may offer additional advantages. Nonlinear approaches to predict energy expenditure using accelerometer outputs from multiple sites and orientation can enhance accuracy. Conclusions: The development of portable accelerometers has made objective assessments of physical activity possible. Future technological improvements will include examining raw acceleration signals and developing advanced models for accurate energy expenditure predictions.