Mean frequency derived via Hilbert-Huang transform with application to fatigue EMG signal analysis

被引：119

作者：

Xie, Hongbo ^{[1
]}

Wang, Zhizhong ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Biomed Engn, Shanghai 200030, Peoples R China

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2006年 / 82卷 / 02期

基金：

美国国家科学基金会;

关键词：

empirical mode decomposition; Hilbert transform; mean frequency; muscle fatigue; surface electromyography;

D O I：

10.1016/j.cmpb.2006.02.009

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The mean frequency (MNF) of surface electromyography (EMG) signal is an important index of local muscle fatigue. The purpose of this study is to improve the mean frequency (MNF) estimation. Three methods to estimate the MNF of non-stationary EMG are compared. A novel approach based on Hilbert-Huang transform (HHT), which comprises the empirical mode decomposition (EMD) and Hilbert transform, is proposed to estimate the mean frequency of non-stationary signal. The performance of this method is compared with the two existing methods, i.e. autoregressive (AR) spectrum estimation and wavelet transform method. it is observed that our method shows low variability in terms of robustness to the length of the analysis window. The time-varying characteristic of the proposed approach also enables us to accommodate other non-stationary biomedical data analysis. (c) 2006 Elsevier Ireland Ltd. All rights reserved.

引用

页码：114 / 120

页数：7

共 28 条

[1] NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].

AKAIKE, H .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723

[2]

[Anonymous], 1994, BIOMED SIGNAL PROCES

[3] PHYSIOLOGY AND MATHEMATICS OF MYOELECTRIC SIGNALS [J].

DE LUCA, CJ .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1979, 26 (06) :313-325

[4] Estimation of the relationship between the noninvasively detected activity of single motor units and their characteristic pathological changes by modelling [J].

Disselhorst-Klug, C ;

Silny, J ;

Rau, G .

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 1998, 8 (05) :323-335

[5]

DUCHENE J, 1993, CRIT REV BIOMED ENG, V21, P313

[6] Application of empirical mode decomposition to heart rate variability analysis [J].

Echeverría, JC ;

Crowe, JA ;

Woolfson, MS ;

Hayes-Gill, BR .

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2001, 39 (04) :471-479

[7] Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions [J].

Farina, D ;

Merletti, R .

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2000, 10 (05) :337-349

[8] EMG signals detection and processing for on-line control of functional electrical stimulation [J].

Frigo, C ;

Ferrarin, M ;

Frasson, W ;

Pavan, E ;

Thorsen, R .

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2000, 10 (05) :351-360

[9]

Georgakis A, 2003, IEEE T BIO-MED ENG, V50, P262, DOI [10.1109/TBME.2002.807641, 10.1109/TBMe.2002.807641]

[10] Applications of Hilbert-Huang transform to non-stationary financial time series analysis [J].

Huang, NE ;

Wu, ML ;

Qu, WD ;

Long, SR ;

Shen, SSP .

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2003, 19 (03) :245-268

← 1 2 3 →