限窗滑动线性傅里叶拟合在人体震颤预估滤波中的应用

背景：为抑制人体的震颤运动，各国研究人员试图设计出一套可穿戴机器人辅助抑震系统。 目的：分析介绍了针对震颤滤波预估常用的线性傅里叶拟合算法及其衍生算法，并在此基础上提出了改进算法。 方法：提出一种引入了加权线性傅里叶拟合算法变基频带限线性傅里叶拟合改进算法，迭代的过程中可随着对象的改变而发生改变，频带设定了一定约束条件以保证算法的滤波特性，限制了频带的变化范围，即限定了一个大的通频带，通频窗口只能在所设定的这个范围内进行滑动，所提出的这种算法为限窗滑动的线形傅里叶拟合。 结果及结论：该算法的适应性得到了拓宽，对震颤滤波预估具有更强的适应性与准确性。

Application of shifted band-limited multiple fourier linear combiner in pre-estimation and filtering of human tremor

BACKGROUND:To suppress the human tremor, researchers all over the world devote themselves to develop a wearable tremor-suppression orthosis. OBJECTIVE:To introduce and modify commonly used Fourier linear combiner and a series of derived algorithms. METHODS:The weighted Fourier linear combiner was introduced into a new algorithm, shifted bandlimited multiple Fourier linear combiner. Iterative process could change as the object changed. A certain bandwidth constraint was set to ensure the filtering properties of the algorithm, limiting the bandwidth range. RESULTS AND CONCLUSION: The shifted bandlimited multiple Fourier linear combiner is more adaptive and accurate for the tremor filtering and estimation.