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Tremor classification and tremor time series analysis

机译:震颤分类和震颤时间序列分析

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摘要

The separation between physiologic tremor (PT) in normal subjects and the pathological tremors of essential tremor (ET) or Parkinson's disease (PD) was investigated on the basis of monoaxial accelerometric recordings of 35 s hand tremor epochs. Frequency and amplitude were insufficient to separate between these conditions, except for the trivial distinction between normal and pathologic tremors that is already defined on the basis of amplitude. We found that waveform analysis revealed highly significant differences between normal and pathologic tremors, and, more importantly, among different forms of pathologic tremors. We found in our group of 25 patients with PT and 15 with ET a reasonable distinction with the third momentum and the time reversal invariance. A nearly complete distinction between these two conditions on the basis of the asymmetric decay of the autocorrelation function. We conclude that time series analysis can probably be developed into a powerful tool for the objective analysis of tremors.
机译:基于35秒手部震颤时期的单轴加速度记录,研究了正常受试者的生理性震颤(PT)与原发性震颤(ET)或帕金森氏病(PD)的病理性震颤之间的分离。频率和振幅不足以区分这两种情况,除了正常和病理性震颤之间的微小区别(已基于振幅定义)。我们发现波形分析揭示了正常和病理性震颤之间的高度显着差异,更重要的是,不同形式的病理性震颤之间也存在差异。我们在我们的25例PT患者和15例ET患者中发现了合理的区分,即第三动量和时间反转不变性。基于自相关函数的不对称衰减,这两个条件之间几乎完全不同。我们得出的结论是,时间序列分析可能可以发展成用于震颤客观分析的强大工具。

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