Effects of weight load on physiological tremor: the AR representation.
Effects of weight load on physiological tremor: the AR representation.
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体重负荷对生理性震颤的影响：AR 表示。
DOI：
10.2114/ahs.14.7
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
K. Sakamoto
中科院分区：
文献类型：
--
作者：
T. Miao;K. Sakamoto
研究了自回归（AR）方法作为手指生理性震颤（手指震颤）信号处理方法的适当性。Akaike准则的应用表明，15阶AR模型需要描述手指震颤的记录。根据布尔格的算法，估计AR谱和AR参数，研究不同重量负荷对手指震颤的影响。结果表明：（1）随着载荷的增加，AR谱的幅值明显增大;（2）随着载荷的增加，第一预测系数（a1）和第一反射系数（rho 1）显著下降。并与快速傅里叶变换（FFT）和自相关函数的计算结果进行了比较。简单的物理解释的AR参数（即α 1和ρ 1）进行了讨论与系统的谐振模式。
The propriety of the autoregressive (AR) method as a means of processing the signals of physiological tremor of human finger (finger tremor) was investigated. Application of the Akaike's criterion demonstrated that the 15-th order AR model was required to describe the recordings of finger tremor. According to Burg's algorithm, both AR spectrum and AR parameters were estimated to study the effects of various weight loads on finger tremor. It was found that, (1) the amplitude of AR spectrum was apparently enhanced by adding the load; (2) the first prediction coefficient (a1) and the first reflection coefficient (rho 1) significantly declined by increasing the weight loads. The results were compared with the calculations from FFT (Fast Fourier Transform) and autocorrelation function. Simple physical interpretation of the AR parameters (i.e. a1 and rho 1) was discussed in relation with system's resonant modes.