应用于表面肌电图瞬时平均频率估计的改进最大频率估计

Improved maximum frequency estimation with application to instantaneous mean frequency estimation of surface electromyography.

作者信息

Ostlund Nils, Yu Jun, Karlsson J Stefan

机构信息

Department of Biomedical Engineering and Informatics, University Hospital, 901 85 Umeå, Sweden.

出版信息

IEEE Trans Biomed Eng. 2004 Sep;51(9):1541-6. doi: 10.1109/TBME.2004.827930.

DOI:10.1109/TBME.2004.827930

PMID:15376502

Abstract

The purpose of this study was to improve the maximum-frequency estimation. Three methods to estimate the maximum frequency of a bandlimited signal with additive white noise were compared. Two existing methods, the threshold-crossing method (TCM) and the hybrid method, were modified for time-frequency representations. A novel approach, the running-block threshold method (RBTM), was introduced. Based on calculation of detection probability (sensitivity) the RBTM improved the maximum-frequency estimate as compared with the TCM. The maximum-frequency estimation methods were also used to determine the integration interval for instantaneous mean-frequency (IMNF) estimation from synthesized surface electromyography containing white noise. Results showed that the IMNF estimate was improved by using any of the three methods and that the RBTM gave the best IMNF estimate.

摘要

本研究的目的是改进最大频率估计。比较了三种估计加性白噪声下带限信号最大频率的方法。对两种现有方法，即过阈值法（TCM）和混合方法进行了时频表示方面的改进。引入了一种新方法，即滑动块阈值法（RBTM）。基于检测概率（灵敏度）的计算，与TCM相比，RBTM改进了最大频率估计。最大频率估计方法还用于确定从包含白噪声的合成表面肌电图估计瞬时平均频率（IMNF）的积分区间。结果表明，使用这三种方法中的任何一种都能改进IMNF估计，且RBTM给出的IMNF估计最佳。