Using time domain characteristics to discriminate physiologic and Parkinsonian tremors

Using time domain characteristics to discriminate physiologic and Parkinsonian tremors
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DOI:
10.1097/00004691-200001000-00009
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发表时间:
2000-01-01
影响因子:
2.4
通讯作者:
Beuter, A
Beuter, A
中科院分区:
医学4区
文献类型:
--
作者:
Edwards, R;Beuter, A

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特别是在疾病的早期阶段,震颤幅度和频率并不总是能够清楚地将具有特定病理的受试者与对照受试者或具有其他病理的受试者区分开来。对于早期帕金森氏病(PD)患者,将振幅的鉴别能力与临床可能不明显的震颤记录的其他时域特征的鉴别能力进行比较。用位移激光记录帕金森病患者(n = 21)和健康对照(n = 30)的双手有视觉反馈和无视觉反馈的体位性震颤和静止性震颤。速度和加速度数据来源于位移数据。在每个记录上计算12个时域特征,并在每种情况下使用最差的手来评估每个特征的鉴别能力。没有视觉反馈的体位性震颤最有效地区分了两组受试者,特别是在速度和加速度方面。帕金森病的震颤(与正常生理性震颤相比)具有特定的形态,具有独特的直方图,更具周期性,并且在潜在动力学中包含非线性迹象。PD患者的震颤在双手振幅和时间不对称性上也有较大的差异。一系列的手指屈曲似乎增强了正常的震颤,而不是PD的震颤,因此可能有助于区分。通过测量比振幅更细微的时域特征,特别是在振幅本身不大的情况下,可以增强PD引起的震颤与正常生理性震颤的区别。震颤测量不应局限于加速度数据,因为有些信息在其他变量中更明显。
Tremor amplitude and frequency do not always clearly differentiate subjects with particular pathologies from control subjects or from subjects with other pathologies, especially in early stages of-a disease. For patients with early stages of Parkinson's disease (PD) the discriminative power of amplitude was compared with that of other time domain characteristics of tremor recordings that are probably nor evident clinically. Postural tremor with and without visual feedback and rest tremor were recorded in both hands of a group of patients with Parkinson's disease (n = 21) and a group of healthy control subjects (n = 30) using displacement lasers. Velocity and acceleration data were derived from displacement data. Twelve time domain characteristics were calculated on each recording and the discriminating power of each was evaluated using the worse hand in each case. Postural tremor with no visual feedback separates the two groups of subjects most efficiently, especially in velocity and acceleration. Tremor in Parkinson's disease (in comparison to normal physiologic tremor) has a specific morphology, has a distinctive histogram, is more periodic, and contains indications of nonlinearity in the underlying dynamics. There map also be greater difference in amplitude between the two hands and time asymmetry in tremor of patients with PD. A series of finger flexions seems to enhance normal tremor but not tremor in PD and may thus aid in discrimination. Discrimination of tremor attributable to PD from normal physiologic tremor can be enhanced by measuring time domain characteristics subtler than amplitude, particularly when amplitude itself is not large. Tremor measurement should not be limited to acceleration data because some information is more visible in other variables.