使用基于胸部的惯性可穿戴传感器,我们检查了与腰椎间盘突出症(LDH)相关的定量步态模式,腰椎管狭窄症(LSS),慢性机械性腰背痛(CMLBP)。“病理步态特征”报告为与年龄匹配的对照人群的“规范步态值”相比具有统计学意义的组差异(%)。
向威尔士亲王私人医院就诊的患者样本(悉尼,澳大利亚)与LDH的初步诊断,LSS,或CMLBP被招募。Spatial,temporal,不对称,和变异性指标与从社区招募的年龄匹配(±2岁)对照参与者进行比较.参与者在胸骨角度安装了惯性测量单元,MetaMotionC,并且在没有障碍物的情况下(以自己选择的速度)行走了120m,铺有地毯的医院走廊。
LDH,CMLBP,LSS组有独特的步态损伤病理特征。LDH组(n=33)在步长方面具有明显的不对称性,步进时间,立场,和单支撑不对称。LDH组还涉及步态变异性,步长变化增加。然而,区分CMLBP组(n=33)的是步态变异性增加的单支持时间变异.LSS(n=22)参与者的步态既不对称又在步长上可变。
发现基于可穿戴传感器的加速度计能够检测LDH患者中存在的步态异常,LSS,和CMLBP,与年龄匹配的对照组相比。步态恶化的客观和定量模式在腰椎疾病的这些亚型之间具有独特的差异。通过进一步的测试和验证,步态特征可以帮助步态改变病理的临床鉴定。
Using a chest-based inertial wearable sensor, we examined the quantitative gait patterns associated with lumbar disc herniation (LDH), lumbar spinal stenosis (LSS), and chronic mechanical low back pain (CMLBP). \'Pathological gait signatures\' were reported as statistically significant group difference (%) from the \'normative\' gait values of an age-matched control population.
A sample of patients presenting to the Prince of Wales Private Hospital (Sydney, Australia) with primary diagnoses of LDH, LSS, or CMLBP were recruited. Spatial, temporal, asymmetry, and variability metrics were compared with age-matched (±2 years) control participants recruited from the community. Participants were fitted at the sternal angle with an inertial measurement unit, MetaMotionC, and walked unobserved (at a self-selected pace) for 120 m along an obstacle-free, carpeted hospital corridor.
LDH, CMLBP, and LSS groups had unique pathological signatures of gait impairment. The LDH group (n = 33) had marked asymmetry in terms of step length, step time, stance, and single-support asymmetry. The LDH group also involved gait variability with increased step length variation. However, distinguishing the CMLBP group (n = 33) was gait variability in terms increased single-support time variation. The gait of participants with LSS (n = 22) was both asymmetric and variable in step length.
Wearable sensor-based accelerometry was found to be capable of detecting the gait abnormalities present in patients with LDH, LSS, and CMLBP, when compared to age-matched controls. Objective and quantitative patterns of gait deterioration uniquely varied between these subtypes of lumbar spine disease. With further testing and validation, gait signatures may aid clinical identification of gait-altering pathologies.