Institute of Neuroscience/Institute for Ageing, Newcastle University, Newcastle Upon Tyne NE4 5PL, UK.
EPSRC Centre for Doctoral Training in Cloud Computing for Big Data, Newcastle University, Newcastle Upon Tyne NE4 5PL, UK.
Sensors (Basel). 2019 Dec 19;20(1):37. doi: 10.3390/s20010037.
Asymmetry is a cardinal symptom of gait post-stroke that is targeted during rehabilitation. Technological developments have allowed accelerometers to be a feasible tool to provide digital gait variables. Many acceleration-derived variables are proposed to measure gait asymmetry. Despite a need for accurate calculation, no consensus exists for what is the most valid and reliable variable. Using an instrumented walkway (GaitRite) as the reference standard, this study compared the validity and reliability of multiple acceleration-derived asymmetry variables. Twenty-five post-stroke participants performed repeated walks over GaitRite whilst wearing a tri-axial accelerometer (Axivity AX3) on their lower back, on two occasions, one week apart. Harmonic ratio, autocorrelation, gait symmetry index, phase plots, acceleration, and jerk root mean square were calculated from the acceleration signals. Test-retest reliability was calculated, and concurrent validity was estimated by comparison with GaitRite. The strongest concurrent validity was obtained from step regularity from the vertical signal, which also recorded excellent test-retest reliability (Spearman's rank correlation coefficients (rho) = 0.87 and Intraclass correlation coefficient (ICC) = 0.98, respectively). Future research should test the responsiveness of this and other step asymmetry variables to quantify change during recovery and the effect of rehabilitative interventions for consideration as digital biomarkers to quantify gait asymmetry.
步态失衡是中风后步态的一个主要特征,在康复过程中会对此进行针对性治疗。技术的发展使得加速度计成为提供数字步态变量的可行工具。许多基于加速度的变量被提出用于测量步态失衡。尽管需要进行准确的计算,但目前仍未就最有效和最可靠的变量达成共识。本研究使用仪器化步态测试平台(GaitRite)作为参考标准,比较了多种基于加速度的失衡变量的有效性和可靠性。25 名中风后患者在两次测试中,分别于一周内两次在 GaitRite 上重复行走,同时在其下背部佩戴三轴加速度计(Axivity AX3)。从加速度信号中计算出谐波比、自相关、步态对称性指数、相位图、加速度和冲击根均方。计算了测试-重测信度,并通过与 GaitRite 的比较来评估同时效度。来自垂直信号的步幅规则性具有最强的同时效度,同时也记录了极好的测试-重测信度(Spearman 等级相关系数(rho)= 0.87 和组内相关系数(ICC)= 0.98)。未来的研究应该测试这种和其他步幅失衡变量的反应能力,以量化恢复过程中的变化,并研究康复干预措施的效果,将其作为量化步态失衡的数字生物标志物。