Biomedical Research Institute of Málaga (IBIMA), 29010 Málaga, Spain.
Legal and Forensic Medicine Area, Department of Human Anatomy, Legal Medicine and History of Science, Faculty of Medicine, University of Málaga, 29071 Málaga, Spain.
Sensors (Basel). 2022 Mar 26;22(7):2552. doi: 10.3390/s22072552.
Through this study, we developed and validated a system for energy expenditure calculation, which only requires low-cost inertial sensors and open source R software. Five healthy subjects ran at ten different speeds while their kinematic variables were recorded on the thigh and wrist. Two ActiGraph wireless inertial sensors and a low-cost Bluetooth-based inertial sensor (Lis2DH12), assembled by SensorID, were used. Ten energy expenditure equations were automatically calculated in a developed open source R software (our own creation). A correlation analysis was used to compare the results of the energy expenditure equations. A high interclass correlation coefficient of estimated energy expenditure on the thigh and wrist was observed with an Actigraph and Sensor ID accelerometer; the corrected Freedson equation showed the highest values, and the Santos-Lozano vector magnitude equation and Sasaki equation demonstrated the lowest one. Energy expenditure was compared between the wrist and thigh and showed low correlation values. Despite the positive results obtained, it was necessary to design specific equations for the estimation of energy expenditure measured with inertial sensors on the thigh. The use of the same formula equation in two different placements did not report a positive interclass correlation coefficient.
通过这项研究，我们开发并验证了一个仅需要低成本惯性传感器和开源 R 软件的能量消耗计算系统。五位健康受试者在十种不同速度下跑步，同时记录大腿和手腕的运动学变量。使用了两个 ActiGraph 无线惯性传感器和一个由 SensorID 组装的低成本蓝牙惯性传感器（Lis2DH12）。在开发的开源 R 软件（我们自己的创作）中自动计算了十个能量消耗方程。使用相关分析比较能量消耗方程的结果。观察到大腿和手腕处的 Actigraph 和 SensorID 加速度计估算能量消耗的组内相关系数较高；校正的 Freedson 方程显示出最高值，而 Santos-Lozano 向量幅度方程和 Sasaki 方程显示出最低值。比较手腕和大腿的能量消耗，发现相关性值较低。尽管取得了积极的结果，但有必要为大腿上的惯性传感器测量的能量消耗设计特定的方程。在两个不同位置使用相同的公式方程并未报告出正的组内相关系数。
