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首页> 外文期刊>Gait & posture >Identification of peripheral neuropathy in type-2 diabetic subjects by static posturography and linear discriminant analysis.
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Identification of peripheral neuropathy in type-2 diabetic subjects by static posturography and linear discriminant analysis.

机译：通过静态姿势成像和线性判别分析确定2型糖尿病受试者的周围神经病变。

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BACKGROUND: An early diagnosis of peripheral neuropathy in diabetic patients is useful in order to slow down the progress of this complication. Nerve conduction tests are the gold standard for this diagnosis but they are challenging for the patients. This study examines whether it is possible to assess the presence of diabetic neuropathy at an early stage by static posturography tests. METHODS: Static posturography tests were performed on 37 type-2 diabetic subjects (25 neuropathic patients and 12 non-neuropathic control subjects). Each subject was tested twice under two visual conditions: open and closed eyes. Both "global" (classic) and "structural" (model-based) posturographic parameters (PP) were derived from centre-of-pressure trajectories. A total of 65 PP were computed but only five were selected, normalized and fed to a linear classifier based on linear discriminant analysis. RESULTS: This method correctly classified 86.5% of the patients. Five subjects were misclassified and only 2 false negatives out of 25 neuropathic subjects were erroneously diagnosed as control subjects. CONCLUSIONS: This paper shows that "global" and "structural" parameters derived by static posturography tests, and classic linear statistical approaches, can be used for the diagnosis of neuropathy provided PP are properly chosen and normalized.
机译：背景：对糖尿病患者周围神经病的早期诊断有助于减慢这种并发症的进展。神经传导测试是该诊断的金标准，但对患者而言具有挑战性。这项研究检查了是否有可能通过静态体位检查来评估糖尿病神经病变的早期存在。方法：对37名2型糖尿病受试者（25名神经病患者和12名非神经病对照受试者）进行了静态姿势检查。每个对象在两种视觉条件下测试两次：睁开和闭上眼睛。 “整体”（经典）和“结构”（基于模型）姿势参数（PP）均来自压力中心轨迹。总共计算了65个PP，但只有5个被选择，标准化并根据线性判别分析送入线性分类器。结果：该方法正确分类了86.5％的患者。五名受试者被错误分类，而25名神经病受试者中只有2例假阴性被错误地诊断为对照受试者。结论：本文表明，只要正确选择和标准化PP，通过静态姿势检查和经典线性统计方法得出的“整体”和“结构”参数可用于神经病变的诊断。

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