Healthcare providers continue to address the challenges caused by aging populations, chronic disease management, hospitalization costs, as well as significant legal risks. Characterisation of physical activity and sedentary behaviour within ambulatory conditions is becoming increasingly popular in view of growing evidence for the health implications of these tendencies. Wearable technology can potentially offer a solution to these problems by using state-of-the-art sensors and wearable systems as well as secure and effective networks of communication between patients and clinicians. The primary aim of this study is to investigate levels of agreement between two wearable sensors for use in clinical studies. Establishing validity of these wearable devices is of particular interest as they may be utilised in future clinical studies to monitor sleep and activity patterns over prolonged time periods. Initial visualization of data from physical activity and periods of inactivity show high similarity between devices for ambulatory conditions and standardized activities. However, future steps concerning alignment of timestamps needs to be utilized in order to coordinate the devices' outputs.
医疗服务提供者继续应对人口老龄化、慢性病管理、住院费用以及重大法律风险所带来的挑战。鉴于越来越多的证据表明身体活动和久坐行为对健康有影响,在门诊环境中对身体活动和久坐行为进行特征描述变得越来越流行。可穿戴技术通过使用最先进的传感器和可穿戴系统以及患者和临床医生之间安全有效的通信网络,有可能为这些问题提供解决方案。本研究的主要目的是调查用于临床研究的两种可穿戴传感器之间的一致性水平。确定这些可穿戴设备的有效性尤为重要,因为它们可能在未来的临床研究中用于长期监测睡眠和活动模式。对身体活动和不活动时间段的数据进行的初步可视化显示,在门诊环境和标准化活动中,设备之间具有高度相似性。然而,为了协调设备的输出,需要采取有关时间戳对齐的后续步骤。