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首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson's Disease-Associated Gait?
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Is the Assessment of 5 Meters of Gait with a Single Body-Fixed-Sensor Enough to Recognize Idiopathic Parkinson's Disease-Associated Gait?

机译:评估5米的步态与单身固定传感器足以识别特征帕金森病相关步态吗?

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摘要

Quantitative assessment of gait in patients with Parkinson's disease (PD) is an important step in addressing motor symptoms and improving clinical management. Based on the assessment of only 5 meters of gait with a single body-fixed-sensor placed on the lower back, this study presents a method for the identification of step-by-step kinematic parameters in 14 healthy controls and in 28 patients at early-to-moderate stages of idiopathic PD. Differences between groups in step-by-step kinematic parameters were evaluated to understand gait impairments in the PD group. Moreover, a discriminant model between groups was built from a subset of significant and independent parameters and based on a 10-fold cross-validated model. The discriminant model correctly classified a total of 89.5% participants with four kinematic parameters. The sensitivity of the model was 95.8% and the specificity 78.6%. The results indicate that the proposed method permitted to reasonably recognize idiopathic PD-associated gait from 5-m walking assessments. This motivates further investigation on the clinical utility of short episodes of gait assessment with body-fixed- sensors.
机译:帕金森病(PD)患者的步态的定量评估是解决运动症状和改善临床管理的重要一步。基于对较低背部的单个身体固定传感器的单个身体固定传感器的评估,本研究提出了一种在14例健康对照中鉴定逐步运动参数的方法,并在早期患者中 - 中等特发性PD的阶段。评估逐步运动参数中的组之间的差异以了解PD组中的步态损伤。此外,组之间的判别模型是由重要和独立参数的子集构成的,并且基于10倍交叉验证模型构建。判别模型正确归类为共有4个运动参数的89.5%的参与者。该模型的敏感性为95.8%,特异性为78.6%。结果表明,允许合理地识别来自5米行走评估的特征性PD相关步态的所提出的方法。这激发了进一步调查与身体固定传感器的步态评估短发作的临床效用进一步调查。

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