一种用于分离动作电位序列的迭代算法。

An iterative algorithm for the separation of action potential sequences.

作者信息

Gath I, Nizan D

出版信息

Comput Programs Biomed. 1979 Jan;9(1):13-8. doi: 10.1016/0010-468x(79)90013-8.

Abstract

Various iterative algorithms for separation of superimposed event sequences were designed, and their efficiency examined through simulation studies. It has been found that a double parallel-serial algorithm improved markedly the efficiency of the filtration process. For the same probability of detection of the event series to be extracted, the probability of 'impurity' events dropped by roughly 0.10, as compared to the non-iterative fixed window width algorithm. Conclusions are drawn regarding separation of motor unit action potential sequences from the total electromyogram.

摘要

设计了多种用于分离叠加事件序列的迭代算法，并通过模拟研究检验了它们的效率。结果发现，一种双并行-串行算法显著提高了滤波过程的效率。对于相同的提取事件序列检测概率，与非迭代固定窗口宽度算法相比，“杂质”事件的概率大约降低了0.10。得出了关于从总肌电图中分离运动单位动作电位序列的结论。