Department of Computing, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland.
Department of Science, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland.
Sensors (Basel). 2021 Mar 13;21(6):2034. doi: 10.3390/s21062034.
In the midst of the COVID-19 pandemic, Remote Patient Monitoring technologies are highly important for clinicians and researchers. These connected-health technologies enable monitoring of patients and facilitate remote clinical trial research while reducing the potential for the spread of the novel coronavirus. There is a growing requirement for monitoring of the full 24 h spectrum of behaviours with a single research-grade sensor. This research describes a free-living and supervised protocol comparison study of the Verisense inertial measurement unit to assess physical activity and sleep parameters and compares it with the Actiwatch 2 actigraph. Fifteen adults (11 males, 23.4 ± 3.4 years and 4 females, 29 ± 12.6 years) wore both monitors for 2 consecutive days and nights in the free-living study while twelve adults (11 males, 23.4 ± 3.4 years and 1 female, 22 ± 0 years) wore both monitors for the duration of a gym-based supervised protocol study. Agreement of physical activity epoch-by-epoch data with activity classification of sedentary, light and moderate-to-vigorous activity and sleep metrics were evaluated using Spearman's rank-order correlation coefficients and Bland-Altman plots. For all activity, Verisense showed high agreement for both free-living and supervised protocol of r = 0.85 and r = 0.78, respectively. For physical activity classification, Verisense showed high agreement of sedentary activity of r = 0.72 for free-living but low agreement of r = 0.36 for supervised protocol; low agreement of light activity of r = 0.42 for free-living and negligible agreement of r = -0.04 for supervised protocol; and moderate agreement of moderate-to-vigorous activity of r = 0.52 for free-living with low agreement of r = 0.49 for supervised protocol. For sleep metrics, Verisense showed moderate agreement for sleep time and total sleep time of r = 0.66 and 0.54, respectively, but demonstrated high agreement for determination of wake time of r = 0.83. Overall, our results showed moderate-high agreement of Verisense with Actiwatch 2 for assessing epoch-by-epoch physical activity and sleep, but a lack of agreement for activity classifications. Future validation work of Verisense for activity cut-point potentially holds promise for 24 h continuous remote patient monitoring.
在 COVID-19 大流行期间，远程患者监测技术对临床医生和研究人员非常重要。这些连接健康技术可以监测患者，促进远程临床试验研究，同时降低新型冠状病毒传播的可能性。人们越来越需要使用单个研究级传感器来监测 24 小时的全谱行为。本研究描述了一种使用 Verisense 惯性测量单元进行自由生活和监督协议比较研究，以评估体力活动和睡眠参数，并将其与 Actiwatch 2 活动记录仪进行比较。15 名成年人（11 名男性，23.4±3.4 岁和 4 名女性，29±12.6 岁）在自由生活研究中连续两天两夜佩戴两个监测器，而 12 名成年人（11 名男性，23.4±3.4 岁和 1 名女性，22±0 岁）在基于健身房的监督协议研究期间佩戴两个监测器。使用 Spearman 秩相关系数和 Bland-Altman 图评估体力活动时相数据与久坐、轻度和中度至剧烈活动以及睡眠指标的活动分类的一致性。对于所有活动，Verisense 在自由生活和监督协议中的表现均高度一致，分别为 r = 0.85 和 r = 0.78。对于体力活动分类，Verisense 在自由生活中显示出高度一致的 r = 0.72 静息活动，但监督协议中的 r = 0.36 一致性较低；自由生活中轻度活动的 r = 0.42 一致性较低，监督协议中 r = -0.04 几乎没有一致性；自由生活中中度至剧烈活动的 r = 0.52 适度一致，监督协议中 r = 0.49 一致较低。对于睡眠指标，Verisense 显示出睡眠时间和总睡眠时间的中等一致性，r = 0.66 和 0.54，分别，但确定清醒时间的 r = 0.83 显示出高度一致。总体而言，我们的结果表明，Verisense 与 Actiwatch 2 对评估逐时体力活动和睡眠具有中等至高度一致性，但活动分类的一致性较低。Verisense 用于活动切点的未来验证工作有可能为 24 小时连续远程患者监测提供支持。
