Department of Rehabilitation and Movement Science, University of Vermont, 106 Carrigan Dr., Rowell 310, Burlington, VT, USA.
J Neuroeng Rehabil. 2021 Apr 21;18(1):67. doi: 10.1186/s12984-021-00863-x.
Extremity weakness, fatigue, and postural instability often contribute to mobility deficits in persons after stroke. Wearable technologies are increasingly being utilized to track many health-related parameters across different patient populations. The purpose of this systematic review was to identify how wearable technologies have been used over the past decade to assess gait and mobility in persons with stroke.
We performed a systematic search of Ovid MEDLINE, CINAHL, and Cochrane databases using select keywords. We identified a total of 354 articles, and 13 met inclusion/exclusion criteria. Included studies were quality assessed and data extracted included participant demographics, type of wearable technology utilized, gait parameters assessed, and reliability and validity metrics.
The majority of studies were performed in either hospital-based or inpatient settings. Accelerometers, activity monitors, and pressure sensors were the most commonly used wearable technologies to assess gait and mobility post-stroke. Among these devices, spatiotemporal parameters of gait that were most widely assessed were gait speed and cadence, and the most common mobility measures included step count and duration of activity. Only 4 studies reported on wearable technology validity and reliability metrics, with mixed results.
The use of various wearable technologies has enabled researchers and clinicians to monitor patients' activity in a multitude of settings post-stroke. Using data from wearables may provide clinicians with insights into their patients' lived-experiences and enrich their evaluations and plans of care. However, more studies are needed to examine the impact of stroke on community mobility and to improve the accuracy of these devices for gait and mobility assessments amongst persons with altered gait post-stroke.
肢体无力、疲劳和姿势不稳常常导致中风后患者的活动能力受损。可穿戴技术正越来越多地被用于跟踪不同患者群体的许多健康相关参数。本系统综述的目的是确定在过去十年中,可穿戴技术如何用于评估中风患者的步态和移动能力。
我们使用选定的关键字对 Ovid MEDLINE、CINAHL 和 Cochrane 数据库进行了系统搜索。我们共确定了 354 篇文章,其中 13 篇符合纳入/排除标准。纳入的研究进行了质量评估,提取的数据包括参与者的人口统计学资料、使用的可穿戴技术类型、评估的步态参数以及可靠性和有效性指标。
大多数研究都是在医院或住院环境中进行的。加速度计、活动监测器和压力传感器是最常用于评估中风后步态和移动能力的可穿戴技术。在这些设备中,最广泛评估的步态时空参数是步速和步频,最常见的移动性测量指标包括步数和活动持续时间。只有 4 项研究报告了可穿戴技术的有效性和可靠性指标,结果不一。
各种可穿戴技术的使用使研究人员和临床医生能够在中风后在多种环境中监测患者的活动。使用可穿戴设备的数据可以为临床医生提供有关其患者生活体验的见解,并丰富他们对患者的评估和护理计划。然而,需要更多的研究来检验中风对社区移动能力的影响,并提高这些设备在评估中风后步态异常患者的步态和移动能力方面的准确性。