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Recurrence Quantification Analysis at work: Quasi-periodicity based interpretation of gait force profiles for patients with Parkinson disease

机译:工作中的复发定量分析:基于准周期的帕金森病患者步态力曲线解释

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摘要

In this letter, making use of real gait force profiles of healthy and patient groups with Parkinson disease which have different disease severity in terms of Hoehn-Yahr stage, we calculate various heuristic complexity measures of the recurrence quantification analysis (RQA). Using this technique, we are able to evince that entropy, determinism and average diagonal line length (divergence) measures decrease (increases) with increasing disease severity. We also explain these tendencies using a theoretical model (based on the sine-circle map), so that we clearly relate them to decreasing degree of irrationality of the system as a course of gait’s nature. This enables us to interpret the dynamics of normal/pathological gait and is expected to increase further applications of this technique on gait timings, gait force profiles and combinations of them with various physiological signals.
机译:在这封信中,利用在Hoehn-Yahr阶段就疾病严重程度不同的健康人群和帕金森氏病患者的实际步态力曲线,我们计算了复发量化分析(RQA)的各种启发式复杂性度量。使用这种技术,我们可以证明熵,确定性和平均对角线长度(散度)量度随疾病严重程度的增加而减少(增加)。我们还使用理论模型(基于正弦圆图)解释了这些趋势,从而使我们清楚地将它们与步态自然过程中系统的非理性程度降低联系起来。这使我们能够解释正常/病理性步态的动态,并有望在步态时间,步态力分布以及它们与各种生理信号的组合上进一步应用该技术。

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