The Muscle Activity Detection from Surface EMG Signal using the Morphological Filter

被引：0

作者：

Li, Qiang ^{[1
]}

Li, Bo ^{[1
]}

机构：

[1] SW Univ Sci & Technol, Sch Informat Engn, Mianyang, Peoples R China

来源：

MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS, PTS 1 AND 2 | 2012年 / 195-196卷

关键词：

muscle activity; sEMG signal; morphological filter; structuring element; ACTIVATION; ONSET; EXTRACTION; ENVELOPE;

D O I：

10.4028/www.scientific.net/AMM.195-196.1137

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

For the recognition of action sEMG signal, the muscle activity detection is the elementary work, and the morphological filter was explored to achieve the target in this paper. To reduce the noise interference in the collected sEMG signal, the band-pass filter and spectrum interpolation method were applied. Based on two structuring elements, the morphological filter was utilized to separate the action signal from the background signal. Then, the amplitude envelope which could indicate the muscle activity was acquired. The experimental results showed that the satisfying muscle activity detection performance could be implemented by the morphological filter.

引用

页码：1137 / 1141

页数：5

共 19 条

[1]

Abbink JH, 1998, J ORAL REHABIL, V25, P365

[2]

Azzerboni B, 2002, LECT NOTES COMPUT SC, V2486, P109

[3] A statistical method for the measurement of muscle activation intervals from surface myoelectric signal during gait [J].

Bonato, P ;

D'Alessio, T ;

Knaflitz, M .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1998, 45 (03) :287-299

[4]

Chen Xiang, 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering (ICBBE '08), P1923, DOI 10.1109/ICBBE.2008.810

[5] Extraction of the envelope from surface EMG signals [J].

D'Alessio, T ;

Conforto, S .

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2001, 20 (06) :55-61

[6]

Lanyi Xu, 2004, Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513), P357, DOI 10.1109/CCECE.2004.1345029

[7] The effect of background muscle activity on computerized detection of sEMG onset and offset [J].

Lee, Angela S. ;

Cholewicki, Jacek ;

Reeves, N. Peter .

JOURNAL OF BIOMECHANICS, 2007, 40 (15) :3521-3526

[8] Detection technique of muscle activation intervals for sEMG signals based on the Empirical Mode Decomposition [J].

Lee, Junghoon ;

Ko, Hyunchul ;

Lee, Seunghwan ;

Lee, Hyunsook ;

Yoon, Youngro .

2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, :336-+

[9] Teager-Kaiser energy operation of surface EMG improves muscle activity onset detection [J].

Li, Xiaoyan ;

Zhou, Ping ;

Aruin, Alexander S. .

ANNALS OF BIOMEDICAL ENGINEERING, 2007, 35 (09) :1532-1538

[10] A fast and reliable technique for muscle activity detection from surface EMG signals [J].

Merlo, A ;

Farina, D ;

Merletti, R .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2003, 50 (03) :316-323

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