Cross Teager-Kaiser operator and Lempel-Ziv Index for the assessment of human posturographic data

A. Tigrini, F. Verdini, S. Fioretti, R. Rabini, O. Mercante, A. Mengarelli
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Abstract

In this study Cross Teager-Kaiser (CTK) operator was employed to combine the two stabilogram components recorded during static posturography to generate a new time-series that describes the interaction among them. Then, such interaction was measured through a complexity index as Lemepel-Ziv. The method proposed would overcome some limitations that classical posturographic data analysis encounters in underlining differences among groups of subjects. This aspect is of great interest in the assessment of pathologies that affect the nervous system and its balance control strategies. The discriminative capability of the proposed method was evaluated through two assessments: the first aimed to highlight differences between young and elderly subjects; the second, more challenging, required to highlight differences between diabetic patients without neuropathy and diabetic patients with asymptomatic neuropathy. Wilcoxon-Mann-Whitney tests revealed that CTK combined with Lempel-Ziv index significantly differentiate the groups in the two assessments.
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交叉Teager-Kaiser算子和Lempel-Ziv指数用于评估人体姿势数据
在本研究中,交叉Teager-Kaiser (CTK)算子将静态姿势照相中记录的两个稳定图分量组合在一起,生成一个新的时间序列来描述它们之间的相互作用。然后,通过复杂性指数Lemepel-Ziv来衡量这种相互作用。所提出的方法将克服传统的姿势数据分析在强调受试者群体之间差异时遇到的一些局限性。这方面对评估影响神经系统及其平衡控制策略的病理非常感兴趣。通过两个评估来评估所提出方法的判别能力:第一个评估旨在突出青年和老年受试者之间的差异;第二项更具挑战性,需要强调无神经病变的糖尿病患者和无症状神经病变的糖尿病患者之间的差异。Wilcoxon-Mann-Whitney检验显示CTK联合Lempel-Ziv指数在两种评估中有明显的组别区分。
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