HAVAE EA6310 (Handicap, Aging, Autonomy, Environment), IFRH, University of Limoges, 87042 Limoges, France; Department of Physical Medicine and Rehabilitation in the University Hospital Center of Limoges, 87042 Limoges, France.
HAVAE EA6310 (Handicap, Aging, Autonomy, Environment), IFRH, University of Limoges, 87042 Limoges, France.
Ann Phys Rehabil Med. 2020 May;63(3):209-215. doi: 10.1016/j.rehab.2019.07.002. Epub 2019 Aug 10.
Recent studies reported that wearable sensor devices show low validity for assessing the amount of energy expenditure in individuals after stroke.
We aimed to evaluate the validity of energy expenditure calculation based on the product of energy cost and walked distance estimated by wearable devices in individuals after hemispheric stroke.
We recruited individuals with hemispheric stroke sequelae who were able to walk without human assistance. The participants wore a tri-axial accelerometer (Actigraph GT3x) and a pedometer (ONStep 400) on the unaffected hip in addition to a respiratory gas exchange analyzer (METAMAX 3B) during 6min of walking at their self-selected walking speed and mode. The energy expenditure was calculated from the product of energy cost measured by the METAMAX 3B and the distance estimated by wearable devices. It was compared to the energy expenditure measured by the METAMAX 3B and the energy expenditure values recorded by the devices according to the manufacturer's algorithms. The validity was investigated by Bland-Altman analysis (mean bias [MB], root mean square error [RMSE], limits of agreement [95%LoA]), and Pearson correlation analysis (r).
We included 26 participants (mean [SD] age 64.6 [14.8] years). With the pedometer, the energy expenditure calculated from the product of energy cost and walked distance showed high accuracy and agreement with METAMAX 3B values (MB=-1.6kcal; RMSE=4.1kcal; 95%LoA=-9.9; 6.6kcal; r=0.87, P<0.01) but low accuracy and agreement with Actigraph GT3x values (MB=15.7kcal; RMSE=8.7kcal; 95%LoA=-1.3; 32.6kcal; r=0.44, P=0.02) because of poorer estimation of walked distance. With the pedometer, this new method of calculation strongly increased the validity parameter values for estimating energy expenditure as compared with the manufacturer's algorithm.
This new method based on the energy cost and distance estimated by wearable devices provided better energy expenditure estimates for the pedometer than did the manufacturer's algorithm. The validity of this method depended on the accuracy of the sensor to measure the distance walked by an individual after stroke.
最近的研究报告表明，可穿戴传感器设备在评估脑卒中后个体的能量消耗方面的有效性较低。
我们旨在评估基于可穿戴设备估计的能量消耗和行走距离的乘积来计算能量消耗的有效性，该方法适用于半球性脑卒中后的个体。
我们招募了能够在没有他人帮助的情况下行走的半球性脑卒中后遗症患者。参与者在未受影响的臀部上佩戴三轴加速度计（Actigraph GT3x）和计步器（ONStep 400），同时在他们自行选择的行走速度和模式下进行 6 分钟的行走时，使用呼吸气体交换分析仪（METAMAX 3B）。通过 METAMAX 3B 测量的能量消耗与可穿戴设备估计的距离的乘积来计算能量消耗。将其与 METAMAX 3B 测量的能量消耗和根据制造商算法记录的设备的能量消耗值进行比较。通过 Bland-Altman 分析（均值偏差 [MB]、均方根误差 [RMSE]、一致性界限 [95%LoA]）和 Pearson 相关分析（r）来评估有效性。
我们纳入了 26 名参与者（平均 [标准差] 年龄 64.6 [14.8] 岁）。使用计步器，通过能量消耗和行走距离的乘积计算得出的能量消耗与 METAMAX 3B 值具有高度准确性和一致性（MB=-1.6kcal；RMSE=4.1kcal；95%LoA=-9.9；6.6kcal；r=0.87，P<0.01），但与 Actigraph GT3x 值的准确性和一致性较低（MB=15.7kcal；RMSE=8.7kcal；95%LoA=-1.3；32.6kcal；r=0.44，P=0.02），因为行走距离的估计较差。使用计步器，与制造商的算法相比，这种新的计算方法可以更准确地计算能量消耗。
与制造商的算法相比，这种基于可穿戴设备估计的能量消耗和距离的新方法可以为计步器提供更好的能量消耗估计值。该方法的有效性取决于传感器测量脑卒中后个体行走距离的准确性。
