DIGITAL LOW-PASS DIFFERENTIATION FOR BIOLOGICAL SIGNAL-PROCESSING
DIGITAL LOW-PASS DIFFERENTIATION FOR BIOLOGICAL SIGNAL-PROCESSING
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DOI：
10.1109/tbme.1982.324861
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发表时间：
1982-01-01
影响因子：
4.6
通讯作者：
AMIDROR, I
中科院分区：
文献类型：
--
作者：
USUI, S;AMIDROR, I
在处理各种生物或生物力学数据时，经常需要数字低通微分。然而，无论是生物信号的性质和使用微型或小型计算机在这样的应用意味着需要简单，低阶，快速的微分方法，而不是复杂的高阶算法。为了满足这一需求，我们从理论和实践的角度研究了低通一阶和二阶数字微分，以实现良好而简单的算法。与大多数以前在这一领域所做的研究工作，其主要目的是实现更好的精度，即使在成本使用相当高阶算法相比，我们限制自己在这项研究中只低订单，感兴趣的不仅是在实现的精度，而且在算法的简单性。在讨论了关于我们的最佳低通微分滤波器的理论考虑之后，我们提出了我们的简单的低阶滤波器，并且表明它们不仅非常方便使用，而且几乎是最佳的。
Digital low-pass differentiation is often required in processing various biological or biomechanical data. However, both the nature of biological signals and the use of micro-or minicomputers in such applications imply the need for simple, low-order, and fast differentiation methods, rather than sophisticated high-order algorithms. Responding to this need, we investigate here the low-pass first- and second-order digital differentiation from both theoretical and practical points of view, in order to achieve good and simple algorithms. In contrast with most of the research works previously done in this field, whose main aim was to achieve better accuracy even in the cost of using quite high-order algorithms, we restrict ourselves in this study only to low orders, being interested not only in the accuracy achieved, but also in the simplicity of the algorithm. After discussing the theoretical considerations concerning our optimum low-pass differentiation filters, we present our simple low-order filters and show them to be not only very convenient for use, but also almost optimum.