北京生物醫(yī)學工程

基于HHT變換的SEMG信號中MUAP的數(shù)目估計

A MUAP Onset Detection Method of Surface EMG Signal Based on HHT Transform

作者：戴亮楊基海

單位：江蘇科技大學電子信息學院(江蘇鎮(zhèn)江212003)

分類號：

出版年·卷·期（頁碼）：2011·30·3（269-273）

摘要：

對表面肌電（SEMG）信號中單位動作電位（MUAP）的數(shù)目進行估計可為神經(jīng)肌肉控制的理論研究和神經(jīng)肌肉疾病的診斷開辟新途徑，本文給出了一種基于Hilbert-Huang變換(HHT)的表面肌電信號中運動MUAP數(shù)目估計方法。通過對SEMG信號經(jīng)驗模態(tài)分解后的第一內(nèi)稟模態(tài)函數(shù)分量進行瞬時頻率分析，利用其瞬時頻率極值點的計數(shù)即可估計出運動MUAP數(shù)目。仿真信號與真實信號的實驗結(jié)果均表明，基于HHT的SEMG信號中MUAP的估計方法是有效的。

In this paper, a new motor unit action potential (MUAP) onset detection method was presented based on the Hilbert-Huang transform (HHT). First, the signal was decomposed into IMFs based on the EMD algorithm, and then, the first IMF was selected and its instantaneous frequency was calculated. After that, all the peaks of the instantaneous frequency function of the first IMF were counted, which amount was the estimation of the MUAP amount. Through the experiments of the emulated and real SEMG signals, we concluded that this method was an effective method compared to the existing methods.

參考文獻：

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