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使用小波和分形分析研究前庭神经炎对姿势控制的影响。

Effect of vestibular neuritis on postural control using wavelets and fractal analysis.

作者信息

Lorin P, Manceau C, Foubert F

机构信息

ENT and Vestibular Reeducation Department. 15 rue Gougeard 72000 Le Mans, France.

出版信息

Rev Laryngol Otol Rhinol (Bord). 2010;131(4-5):235-41.

Abstract

OBJECTIVE

What is the status of postural control a few months after an attack of vestibular neuritis (VN)? Using dynamic posturography and stabilometric signal treatment with wavelets and fractal analysis, we tried to answer this question by isolating the pathological postural parameters of VN.

MATERIAL AND METHOD

The study involved a group of 15 patients (GP) who suffered from VN and were compared to a group of control subjects (GC). Both groups underwent videonystagmography (VNG), dynamic posturography (PDY), and assessment using symptomatic scales (ES).

RESULTS

GP and GC were comparable in terms of age mean, sex-ratio, average height and weight. The differences between GP and GC were the following videonystagmography criteria: Spontaneous nystagmus (NS) (P= 0.005), head shaking test (HST) (p= 0.001), vibratory test (TVO) (p= 0.009). There were also differences in the symptomatic scales scores for the vertigo symptom scale (VSS) (p= 0.011), the dizziness handicap inventory (DHI) (p= 0.001), and the short form 36 (SF36) (p= 0.01). All the 84 new parameters of both GP and GC differ. This difference was significant (p< 0.05) in 16 cases (19%), and highly significant (p< 0.01) in 11 other cases (13%). The condition ("unsteady platforms" was the greatest determinant in both groups while the (closed eyess and (HST> conditions were found to be non-discriminating.

CONCLUSION

Vestibular neuritis affects new stabilometric parameters. These parameters are more adapted to the present setup compared to previous parameters which are used to analyse non-periodic oscillations of posture. They are important in follow-up and rehabilitation of patients.

摘要

目的

前庭神经炎(VN)发作数月后姿势控制的状况如何?通过动态姿势描记法以及使用小波和分形分析的稳定测量信号处理,我们试图通过分离VN的病理性姿势参数来回答这个问题。

材料与方法

该研究纳入了一组15例患有VN的患者(GP组),并与一组对照受试者(GC组)进行比较。两组均接受了视频眼震图检查(VNG)、动态姿势描记法(PDY)以及症状量表评估(ES)。

结果

GP组和GC组在平均年龄、性别比、平均身高和体重方面具有可比性。GP组和GC组之间的差异体现在以下视频眼震图标准上:自发性眼震(NS)(P = 0.005)、摇头试验(HST)(P = 0.001)、振动试验(TVO)(P = 0.009)。在眩晕症状量表(VSS)(P = 0.011)、头晕残障量表(DHI)(P = 0.001)和简明健康调查问卷36项(SF36)(P = 0.01)的症状量表评分上也存在差异。GP组和GC组的所有84个新参数均不同。这种差异在16例(19%)中具有显著性(P < 0.05),在另外11例(13%)中具有高度显著性(P < 0.01)。“不稳定平台”情况在两组中都是最大的决定因素,而“闭眼”和“摇头试验”情况则无鉴别意义。

结论

前庭神经炎会影响新的稳定测量参数。与用于分析姿势非周期性振荡的先前参数相比,这些参数更适用于当前设置。它们在患者的随访和康复中很重要。

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