Dick O E, Nozdrachev A D
Fiziol Cheloveka. 2016 May-Jun;42(3):47-55.
Using spectral, wavelet, multifractal, and recurrence analyses we examined the features of involuntary shaking (tremor) arising during the performance of a given motor task. The task was to maintain the efforts of fingers under isometric conditions by a healthy subject, a patient with primary bilateral parkinsonism, and a patient with a syndrome of the essential tremor. The physiological tremor was characterized by the minimal amplitude, the broad power spectrum, the minimal energy of the wavelet spectrum, the maximal degree of multifractality, the minimal degree of determinism, and the maximal entropy of recurrence time density. In the case of the essential tremor we observed the significant enhancement of the wavelet spectrum energy and the decrease of the oscillation complexity. It was evident as the appearance of clear peaks in the power spectra, the fall in the multifractality degree, the emergence of a quasiperiodic structure in the recurrence diagrams, the grow of determinism and the decrease of the entropy of recurrence time density. All these trends were enhanced for the parkinsonian tremor. The suggested characteristics enable us to estimate the degree of deviation of the motor function from the healthy one.
我们使用频谱分析、小波分析、多重分形分析和递归分析，研究了在执行特定运动任务时出现的非自愿抖动（震颤）的特征。该任务是让健康受试者、原发性双侧帕金森病患者和特发性震颤综合征患者在等长条件下保持手指用力。生理性震颤的特征为振幅最小、功率谱宽、小波谱能量最小、多重分形程度最大、确定性程度最小以及递归时间密度熵最大。在特发性震颤的情况下，我们观察到小波谱能量显著增强，振荡复杂性降低。这表现为功率谱中出现明显峰值、多重分形程度下降、递归图中出现准周期结构、确定性增加以及递归时间密度熵降低。所有这些趋势在帕金森震颤中更为明显。所提出的这些特征使我们能够估计运动功能与健康状态的偏离程度。
