Wouda Natasja Charon, Geerars Marieke, Pisters Martijn Frits, Visser-Meily Johanna Maria Augusta, Punt Michiel
Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, The Netherlands.
Department of Neurorehabilitation, De Hoogstraat Rehabilitation, Utrecht, The Netherlands.
Clin Rehabil. 2025 Oct;39(10):1366-1377. doi: 10.1177/02692155251362742. Epub 2025 Aug 3.
ObjectiveTo evaluate the added value of sensor-based tests over conventional tests in explaining the variance in independence in activities of daily living (ADL) and independent walking in patients during inpatient stroke rehabilitation.DesignCross-sectional designSettingInpatient stroke rehabilitationParticipantsData were collected from 115 patients with stroke admitted to inpatient rehabilitation.InterventionNo intervention has been applied.Main measuresConventional measures and sensor-based tests in which postural sway and gait variables were measured using inertial measurement units. Outcome measures were ADL independence (determined by Barthel Index [BI]) and independent walking (determined by Functional Ambulation Categories [FAC]).ResultsWith univariable linear regression analyses showed that the Berg Balance Scale (BBS) explained most variance in ADL independence (² .527) and independent walking (² .727). In hierarchical multivariable regression analyses, symmetry during walking without a walking aid contributed most (Δ²=18.6%) in explaining variance in ADL independency, resulting in a model explaining 15.7% ( = .029) of the variance in the BI. Tempo during walking with a walking aid contributed most (Δ 20.1%) in explaining variance in independent walking, resulting in a model explaining 23.3% ( = .002) of the variance in the FAC. Adding sensor-based variables to models with the BBS did not significantly improve variance explanation.ConclusionsThe added value of variables measured with an inertial measurement unit in explaining ADL independence and walking ability after stroke is limited. These findings contribute to understanding the use of inertial measurement units in stroke rehabilitation, but caution is needed when applying them to predict physical recovery.
评估基于传感器的测试相对于传统测试在解释住院脑卒中康复患者日常生活活动（ADL）独立性和独立行走方面的方差增加值。
横断面设计
住院脑卒中康复机构
收集了115名入住住院康复机构的脑卒中患者的数据。
未实施干预。
传统测量指标和基于传感器的测试，其中使用惯性测量单元测量姿势摆动和步态变量。结局指标为ADL独立性（由Barthel指数[BI]确定）和独立行走（由功能步行分类[FAC]确定）。
单变量线性回归分析显示，Berg平衡量表（BBS）在解释ADL独立性（² =.527）和独立行走（² =.727）方面解释的方差最多。在分层多变量回归分析中，无辅助行走时的步行对称性在解释ADL独立性方差方面贡献最大（Δ² = 18.6%），得出的模型解释了BI方差的15.7%（ = 0.029）。辅助行走时的步速在解释独立行走方差方面贡献最大（Δ = 20.1%），得出的模型解释了FAC方差的23.3%（ = 0.002）。在包含BBS的模型中添加基于传感器的变量并未显著改善对方差的解释。
使用惯性测量单元测量的变量在解释脑卒中后ADL独立性和行走能力方面的增加值有限。这些发现有助于理解惯性测量单元在脑卒中康复中的应用，但在应用它们预测身体恢复时需要谨慎。
