Hamilton Rebecca I, Williams Jenny, Holt Cathy
Musculoskeletal Biomechanics Research Facility, School of Engineering, Cardiff University, Cardiff, United Kingdom.
Osteoarthritis Technology NetworkPlus (OATech+), EPSRC UK-Wide Research Network+, United Kingdom.
Front Rehabil Sci. 2022 Nov 14;3:1005000. doi: 10.3389/fresc.2022.1005000. eCollection 2022.
The objective of this project is to produce a review of available and validated technologies suitable for gathering biomechanical and functional research data in patients with osteoarthritis (OA), outside of a traditionally fixed laboratory setting. A scoping review was conducted using defined search terms across three databases (Scopus, Ovid MEDLINE, and PEDro), and additional sources of information from grey literature were added. One author carried out an initial title and abstract review, and two authors independently completed full-text screenings. Out of the total 5,164 articles screened, 75 were included based on inclusion criteria covering a range of technologies in articles published from 2015. These were subsequently categorised by technology type, parameters measured, level of remoteness, and a separate table of commercially available systems. The results concluded that from the growing number of available and emerging technologies, there is a well-established range in use and further in development. Of particular note are the wide-ranging available inertial measurement unit systems and the breadth of technology available to record basic gait spatiotemporal measures with highly beneficial and informative functional outputs. With the majority of technologies categorised as suitable for part-remote use, the number of technologies that are usable and fully remote is rare and they usually employ smartphone software to enable this. With many systems being developed for camera-based technology, such technology is likely to increase in usability and availability as computational models are being developed with increased sensitivities to recognise patterns of movement, enabling data collection in the wider environment and reducing costs and creating a better understanding of OA patient biomechanical and functional movement data.
本项目的目标是对适用于在传统固定实验室环境之外收集骨关节炎（OA）患者生物力学和功能研究数据的现有且经过验证的技术进行综述。使用定义好的搜索词在三个数据库（Scopus、Ovid MEDLINE和PEDro）中进行了范围综述，并补充了来自灰色文献的其他信息来源。一位作者进行了初步的标题和摘要审查，两位作者独立完成了全文筛选。在总共筛选的5164篇文章中，根据纳入标准，纳入了75篇涵盖2015年以来发表的文章中一系列技术的文章。随后，这些文章按技术类型、测量参数、远程程度进行了分类，并单独列出了商用系统表。结果表明，从越来越多的现有和新兴技术来看，在使用范围和进一步发展方面都有既定的情况。特别值得注意的是，广泛使用的惯性测量单元系统以及可用于记录基本步态时空测量且具有高度有益和信息丰富的功能输出的技术广度。由于大多数技术被归类为适用于部分远程使用，可完全远程使用的技术数量很少，并且它们通常采用智能手机软件来实现这一点。随着许多基于摄像头的技术系统的开发，随着计算模型的开发对运动模式的识别灵敏度提高，这种技术的可用性和易用性可能会增加，从而能够在更广泛的环境中进行数据收集，降低成本，并更好地理解OA患者的生物力学和功能运动数据。
