Department of Clinical Sciences, James L. Voss Veterinary Teaching Hospital, Colorado State University, Fort Collins, CO, 80525, USA.
Department of Clinical Sciences, James L. Voss Veterinary Teaching Hospital, Colorado State University, Fort Collins, CO, 80525, USA.
Vet J. 2019 Oct;252:105355. doi: 10.1016/j.tvjl.2019.105355. Epub 2019 Aug 16.
Accelerometer measurements are frequently reported as total weekly activity counts (AC). Methods of utilizing activity parameters to allow differentiation of activity intensities (i.e., manually derived cut-points) have been described. While this information may provide valuable data for researchers, only few investigators have utilized these methods. This may, in part, be due to the challenge associated with data processing. Some devices, however, generate activity intensity data automatically. This study was conducted to evaluate a novel accelerometer that allows for remote download of data via Wi-Fi (Heyrex), to compare automatically generated parameters quantifying activity levels to previously established cut-points (Actical) and to describe the variability of accelerometer data in dogs with osteoarthritis. Twelve client-owned dogs with osteoarthritis were fitted with a collar with two accelerometers (Heyrex and Actical). Accelerometer data were recorded for 28 days. Pearson bivariate correlations and coefficient of variation (CV%) were calculated for accelerometer data. There was a strong correlation between the AC reported by Heyrex and Actical devices. Several automatically generated parameters showed strong correlations to previously validated cut-points and displayed lower CV% than weekly AC. The activity intensity derived from the Heyrex was associated with the lowest CV% of all parameters from both accelerometers. Automatically generated activity intensity parameters should be considered as potential outcome measures in clinical trials for dogs with osteoarthritis. This novel technology may allow for convenient acquisition of activity intensity data in companion animals. However, technical difficulties (e.g., lack of Wi-Fi connectivity) may pose challenges when using this novel device.
加速度计测量值通常以总周活动计数 (AC) 报告。已经描述了利用活动参数来区分活动强度的方法（即手动推导的切点）。虽然这些信息可能为研究人员提供有价值的数据，但只有少数研究人员使用了这些方法。部分原因可能是与数据处理相关的挑战。然而，一些设备会自动生成活动强度数据。本研究旨在评估一种新型的加速度计，该加速度计可通过 Wi-Fi（Heyrex）远程下载数据，比较自动生成的参数与先前建立的切点（Actical）来定量评估活动水平，并描述骨关节炎犬的加速度计数据的变异性。十二只患有骨关节炎的犬佩戴带有两个加速度计（Heyrex 和 Actical）的项圈。记录了 28 天的加速度计数据。计算了加速度计数据的 Pearson 双变量相关系数和变异系数 (CV%)。Heyrex 和 Actical 设备报告的 AC 之间存在很强的相关性。几个自动生成的参数与先前验证的切点有很强的相关性，并且显示出比每周 AC 更低的 CV%。从 Heyrex 得出的活动强度与两个加速度计的所有参数中 CV%最低的参数相关。自动生成的活动强度参数应被视为骨关节炎犬临床试验的潜在结果测量指标。这项新技术可能允许在伴侣动物中方便地获取活动强度数据。然而，技术困难（例如缺乏 Wi-Fi 连接）可能会对使用这种新型设备构成挑战。
