Postgraduate Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil.
Graduation Program in Physical Therapy, Department of Physical Therapy, Federal University of Rio Grande do Norte, 3000 Av. Senador Salgado Filho, Post office box: 1524, Natal, RN 59072-970, Brazil.
Gait Posture. 2024 Sep;113:543-552. doi: 10.1016/j.gaitpost.2024.08.004. Epub 2024 Aug 8.
Wearable technologies using inertial sensors are an alternative for gait assessment. However, their psychometric properties in evaluating post-stroke patients are still being determined. This systematic review aimed to evaluate the psychometric properties of wearable technologies used to assess post-stroke gait and analyze their reliability and measurement error. The review also investigated which wearable technologies have been used to assess angular changes in post-stroke gait.
The present review included studies in English with no publication date restrictions that evaluated the psychometric properties (e.g., validity, reliability, responsiveness, and measurement error) of wearable technologies used to assess post-stroke gait. Searches were conducted from February to March 2023 in the following databases: Cochrane Central Registry of Controlled Trials (CENTRAL), Medline/PubMed, EMBASE Ovid, CINAHL EBSCO, PsycINFO Ovid, IEEE Xplore Digital Library (IEEE), and Physiotherapy Evidence Database (PEDro); the gray literature was also verified. The Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) risk-of-bias tool was used to assess the quality of the studies that analyzed reliability and measurement error.
Forty-two studies investigating validity (37 studies), reliability (16 studies), and measurement error (6 studies) of wearable technologies were included. Devices presented good reliability in measuring gait speed and step count; however, the quality of the evidence supporting this was low. The evidence of measurement error in step counts was indeterminate. Moreover, only two studies obtained angular results using wearable technology.
Wearable technologies have demonstrated reliability in analyzing gait parameters (gait speed and step count) among post-stroke patients. However, higher-quality studies should be conducted to improve the quality of evidence and to address the measurement error assessment. Also, few studies used wearable technology to analyze angular changes during post-stroke gait.
使用惯性传感器的可穿戴技术是步态评估的一种替代方法。然而，它们在评估脑卒中后患者的心理测量特性仍在确定中。本系统评价旨在评估用于评估脑卒中后步态的可穿戴技术的心理测量特性，并分析其可靠性和测量误差。该综述还调查了哪些可穿戴技术已用于评估脑卒中后步态的角度变化。
本综述包括对评估脑卒中后步态的可穿戴技术的心理测量特性（例如有效性、可靠性、响应性和测量误差）进行评估的英文研究，无出版日期限制。从 2023 年 2 月至 3 月，在以下数据库中进行了搜索：Cochrane 对照试验中心注册库（CENTRAL）、Medline/PubMed、EMBASE Ovid、CINAHL EBSCO、PsycINFO Ovid、IEEE Xplore 数字图书馆（IEEE）和物理治疗证据数据库（PEDro）；还验证了灰色文献。共识基础选择健康测量仪器标准（COSMIN）偏倚风险工具用于评估分析可靠性和测量误差的研究的质量。
纳入了 42 项研究，这些研究评估了可穿戴技术的有效性（37 项研究）、可靠性（16 项研究）和测量误差（6 项研究）。这些设备在测量步态速度和步数方面具有良好的可靠性；然而，支持这一结果的证据质量较低。步数测量误差的证据不确定。此外，只有两项研究使用可穿戴技术获得了角度结果。
可穿戴技术在分析脑卒中后患者的步态参数（步态速度和步数）方面表现出可靠性。然而，应进行更高质量的研究，以提高证据质量并解决测量误差评估问题。此外，很少有研究使用可穿戴技术分析脑卒中后步态的角度变化。
