关节活动角度测量与云数据存储系统的开发。
Development of Joint Activity Angle Measurement and Cloud Data Storage System.
机构信息
Department of Electronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
Interdisciplinary Program of Green and Information Technology, National Taitung University, Taitung 95092, Taiwan.
出版信息
Sensors (Basel). 2022 Jun 21;22(13):4684. doi: 10.3390/s22134684.
In this study, we developed a range of motion sensing system (ROMSS) to simulate the function of the elbow joint, with errors less than 0.76 degrees and 0.87 degrees in static and dynamic verification by the swinging and angle recognition modules, respectively. In the simulation process, the ɣ correlation coefficient of the Pearson difference between the ROMSS and the universal goniometer was 0.90, the standard deviations of the general goniometer measurements were between ±2 degrees and ±2.6 degrees, and the standard deviations between the ROMSS measurements were between ±0.5 degrees and ±1.6 degrees. With the ROMSS, a cloud database was also established; the data measured by the sensor could be uploaded to the cloud database in real-time to provide timely patient information for healthcare professionals. We also developed a mobile app for smartphones to enable patients and healthcare providers to easily trace the data in real-time. Historical data sets with joint activity angles could be retrieved to observe the progress or effectiveness of disease recovery so the quality of care could be properly assessed and maintained.
在这项研究中，我们开发了一种运动感知系统 (ROMSS)，以模拟肘关节的功能，通过摆动和角度识别模块进行静态和动态验证，误差分别小于 0.76 度和 0.87 度。在模拟过程中，ROMSS 和通用量角器之间的 Pearson 差异的ɣ相关系数为 0.90，通用量角器测量的标准偏差在±2 度和±2.6 度之间，ROMSS 测量的标准偏差在±0.5 度和±1.6 度之间。使用 ROMSS，我们还建立了一个云数据库；传感器测量的数据可以实时上传到云数据库，为医疗保健专业人员提供及时的患者信息。我们还为智能手机开发了一个移动应用程序，使患者和医疗保健提供者能够轻松实时跟踪数据。可以检索具有关节活动角度的历史数据集，以观察疾病恢复的进展或效果，从而可以适当评估和维持护理质量。
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