Rehabilitation Center for Children and Adolescents, University Children's Hospital Zurich, Mühlebergstrasse 104, CH-8910, Affoltern am Albis, Switzerland.
Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Syst Rev. 2018 Oct 24;7(1):174. doi: 10.1186/s13643-018-0824-4.
People with mobility impairments may have difficulties in everyday life motor activities, and assessing these difficulties is crucial to plan rehabilitation interventions and evaluate their effectiveness. Wearable inertial sensors enable long-term monitoring of motor activities in a patient's habitual environment and complement clinical assessments which are conducted in a standardised environment. The application of wearable sensors requires appropriate data processing algorithms to estimate clinically meaningful outcome measures, and this review will provide an overview of previously published measures, their underlying algorithms, sensor placement, and measurement properties such as validity, reproducibility, and feasibility.
We will screen the literature for studies which applied inertial sensors to people with mobility impairments in free-living conditions, described the data processing algorithm reproducibly, and calculated everyday life motor activity-related outcome measures. Three databases (MEDLINE, EMBASE, and SCOPUS) will be searched with terms out of four different categories: study population, measurement tool, algorithm, and outcome measure. Abstracts and full texts will be screened independently by the two review authors, and disagreement will be solved by discussion and consensus. Data will be extracted by one of the review authors and verified by the other. It includes the type of outcome measures, the underlying data processing algorithm, the required sensor technology, the corresponding sensor placement, the measurement properties, and the target population. We expect to find a high heterogeneity of outcome measures and will therefore provide a narrative synthesis of the extracted data.
This review will facilitate the selection of an appropriate sensor setup for future applications, contain recommendations about the design of data processing algorithms as well as their evaluation procedure, and present a gap for innovative, new algorithms, and devices.
International prospective register of systematic reviews (PROSPERO): CRD42017069865 .
行动障碍患者在日常生活中的运动活动中可能会遇到困难，评估这些困难对于规划康复干预措施和评估其效果至关重要。可穿戴惯性传感器能够在患者的习惯环境中对运动活动进行长期监测，并补充在标准化环境中进行的临床评估。可穿戴传感器的应用需要适当的数据处理算法来估计具有临床意义的结果测量值，本综述将概述以前发表的测量值、其基础算法、传感器位置以及测量特性，如有效性、可重复性和可行性。
我们将筛选文献，寻找在自由生活条件下将惯性传感器应用于行动障碍患者的研究，这些研究能够可重复性地描述数据处理算法，并计算与日常生活运动活动相关的结果测量值。将从四个不同类别（研究人群、测量工具、算法和结果测量值）中搜索三个数据库（MEDLINE、EMBASE 和 SCOPUS）中的文献。摘要和全文将由两位综述作者独立筛选，如果存在分歧，将通过讨论和达成共识来解决。一位综述作者将提取数据，并由另一位进行验证。它包括结果测量值的类型、基础数据处理算法、所需传感器技术、相应的传感器位置、测量特性和目标人群。我们预计会发现结果测量值存在高度异质性，因此将对提取的数据进行叙述性综合。
本综述将有助于为未来的应用选择合适的传感器设置，包含有关数据处理算法设计及其评估程序的建议，并为创新的新算法和设备提供一个空白。
国际前瞻性系统评价注册（PROSPERO）：CRD42017069865。
