Using frequency domain characteristics to discriminate physiologic and parkinsonian tremors
Using frequency domain characteristics to discriminate physiologic and parkinsonian tremors
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DOI：
10.1097/00004691-199909000-00010
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发表时间：
1999-09-01
影响因子：
2.4
通讯作者：
Edwards, R
中科院分区：
文献类型：
--
作者：
Beuter, A;Edwards, R
研究了当震颤幅度较低时，频域中时间序列的特征可以增强生理性震颤和帕金森病震颤之间的区分的方式。使用位移激光系统，在一组帕金森病（PD）患者（n = 21）和一组健康对照受试者（n = 30）的双手中记录两次静息震颤和姿势性震颤（有和无视觉反馈）。记录进行了定量分析，使用振幅和七个频域特性。姿势性震颤，无视觉反馈。允许在两组受试者之间进行最有效的区分，特别是在速度和加速度（源自位移）方面，并允许识别更多的PD患者，与对照组中观察到的范围不同。此外，所研究的频域特征识别了大多数患者，即使振幅没有。在消除冗余（相关）特征后，发现PD中震颤的频率组成可以用四个特征充分描述，这四个特征是用于检测震颤的早期或细微修改的最可靠、独立和有区别的元素。此外，一系列的手指屈曲被发现，以加强生理性震颤，但不震颤PD。PD中的低振幅震颤与正常生理性震颤的鉴别通过检查来增强;振荡的中值频率、功率谱中的功率浓度以及特定范围内的功率分布。震颤测量不应仅限于加速度数据，因为某些信息在速度时间序列中更明显。
The manner in which characteristics of time series in the frequency domain can enhance discrimination between physiologic and parkinsonian tremor when tremor amplitude is low was examined. Rest tremor and postural tremor with and without visual feedback were recorded twice in the two hands of a group of patients with Parkinson's disease (PD) (n = 21) and a group of healthy control subjects (n = 30) using displacement laser systems. Recordings were analyzed quantitatively using amplitude and seven frequency domain characteristics. Postural tremor with no Visual feedback. allowed the most efficient discrimination between the two groups of subjects especially in velocity and acceleration (derived from displacement) and allowed identification of more patients with PD as separate from the range observed in the control group. Moreover, the frequency domain characteristics that were investigated identified the majority of the patients even when amplitude did not. After eliminating redundant (correlated) characteristics, it was found that the frequency composition of tremor in PD can be described adequately with four characteristics, which are the most reliable, independent, and discriminative elements for detecting early or subtle modifications in tremor. Also, a series of finger flexions was found to enhance physiologic tremor but not tremor in PD. Discrimination of low-amplitude tremor in PD from normal physiologic tremor is enhanced by examining;Me median frequency of oscillations, the concentration of power in the power spectrum, and the distribution of power in particular ranges. Tremor measurement should not be limited to acceleration data as some information is more visible in velocity time series.