@文章{信息:doi/10.2196/41782,作者="Smiley, Aref和Tsai, Te-Yi和Cui, wanenand Parvanova, Irena和Lyu, Jinyan和Zakashansky, Elena和Xhakli, Taulant和Cui, Hu和Finkelstein, Joseph",标题="基于家庭的自行车运动的远程监测:无线接口的评估",期刊="JMIR Biomed Eng",年="2022",月=" 10月",日="12",卷="7",数="2",页数="e41782",关键词="远程康复;无线接口;远程骑自行车;背景:远程康复已被证明在扩大康复服务、提高患者生活质量和改善临床结果方面具有巨大潜力。固定自行车运动可以作为家庭体能康复计划中有效的有氧运动组成部分。远程监测自行车运动为确保患者在家坚持锻炼和安全提供了必要的保障。目前远程监测自行车运动解决方案的可扩展性受到高成本的阻碍,这限制了患者获得这些服务,特别是患有慢性疾病的老年人。目的:本课题旨在设计和测试两种低成本的无线接口,用于家庭骑行运动的远程监控。方法:我们设计了一个由平板电脑和低成本自行车组成的交互式自行车系统(iBikE)。建立并测试了两个无线接口来监测每分钟转数(RPM)。 The first version of the iBikE system uses Bluetooth Low Energy (BLE) to send information from the iBikE to the PC tablet, and the second version uses a Wi-Fi network for communication. Both systems provide patients and their clinical teams the capability to monitor exercise progress in real time using a simple graphical representation. The bike can be used for upper or lower limb rehabilitation. We developed two tablet applications with the same graphical user interfaces between the application and the bike sensors but with different communication protocols (BLE and Wi-Fi). For testing purposes, healthy adults were asked to use an arm bike for three separate subsessions (1 minute each at a slow, medium, and fast pace) with a 1-minute resting gap. While collecting speed values from the iBikE application, we used a tachometer to continuously measure the speed of the bikes during each subsession. Collected data were later used to assess the accuracy of the measured data from the iBikE system. Results: Collected RPM data in each subsession (slow, medium, and fast) from the iBikE and tachometer were further divided into 4 categories, including RPM in every 10-second bin (6 bins), RPM in every 20-second bin (3 bins), RPM in every 30-second bin (2 bins), and RPM in each 1-minute subsession (60 seconds, 1 bin). For each bin, the mean difference (iBikE and tachometer) was then calculated and averaged for all bins in each subsession. We saw a decreasing trend in the mean RPM difference from the 10-second to the 1-minute measurement. For the 10-second measurements during the slow and fast cycling, the mean discrepancy between the wireless interface and tachometer was 0.67 (SD 0.24) and 1.22 (SD 0.67) for the BLE iBike, and 0.66 (SD 0.48) and 0.87 (SD 0.91) for the Wi-Fi iBike system, respectively. For the 1-minute measurements during the slow and fast cycling, the mean discrepancy between the wireless interface and tachometer was 0.32 (SD 0.26) and 0.66 (SD 0.83) for the BLE iBike, and 0.21 (SD 0.21) and 0.47 (SD 0.52) for the Wi-Fi iBike system, respectively. Conclusions: We concluded that a low-cost wireless interface provides the necessary accuracy for the telemonitoring of home-based biking exercise. ", issn="2561-3278", doi="10.2196/41782", url="https://biomedeng.www.mybigtv.com/2022/2/e41782", url="https://doi.org/10.2196/41782" }
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