High-Density EMG E-Textile Systems for the Control of Active Prostheses

被引：38

作者：

Farina, Dario ^{[1
]}

Lorrain, Thomas ^{[1
]}

Negro, Francesco ^{[1
]}

Jiang, Ning ^{[1
]}

机构：

[1] Univ Aalborg, Dept Hlth Sci & Technol, Ctr Sensory Motor Interact SMI, DK-9220 Aalborg, Denmark

来源：

2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年

关键词：

CLASSIFICATION; DESIGN; HAND;

D O I：

10.1109/IEMBS.2010.5627455

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Myoelectric control of active prostheses requires electrode systems that are easy to apply for daily repositioning of the electrodes by the user. In this study we propose the use of Smart Fabric and Interactive Textile (SFIT) systems as an alternative solution for recording high-density EMG signals for myoelectric control. A sleeve covering the upper and lower arm, which contains 100 electrodes arranged in four grids of 5x5 electrodes, was used to record EMG signals in 3 subjects during the execution of 9 tasks of the wrist and hand. The signals were analyzed by extracting wavelet coefficients which were classified with linear discriminant analysis. The average classification accuracy for the nine tasks was 89.1 +/- 1.9 %. These results show that SFIT systems can be used as an effective way for muscle-machine interfacing.

引用

收藏

页码：3591 / 3593

页数：3

相关论文

共 10 条

[1] Muscle synergies as a predictive framework for the EMG patterns of new hand postures [J].

Ajiboye, A. B. ;

Weir, R. F. .

JOURNAL OF NEURAL ENGINEERING, 2009, 6 (03) :036004

[2]

[Anonymous], EMBC 2009 ANN INT C

[3] Design of a cybernetic hand for perception and action [J].

Carrozza, M. C. ;

Cappiello, G. ;

Micera, S. ;

Edin, B. B. ;

Beccai, L. ;

Cipriani, C. .

BIOLOGICAL CYBERNETICS, 2006, 95 (06) :629-644

[4] A real-time pattern recognition based myoelectric control usability study implemented in a virtual environment [J].

Hargrove, L. ;

Losier, Y. ;

Lock, B. ;

Englehart, K. ;

Hudgins, B. .

2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, :4842-+

[5] Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal [J].

Jiang, Ning ;

Englehart, Kevin B. ;

Parker, Philip A. .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2009, 56 (04) :1070-1080

[6] The design of anthropomorphic prosthetic hands: A study of the Southampton Hand [J].

Kyberd, PJ ;

Light, C ;

Chappell, PH ;

Nightingale, JM ;

Whatley, D ;

Evans, M .

ROBOTICA, 2001, 19 :593-600

[7]

LORIGA G, 2007, IEEE IND ELECT MAGAZ, V1

[8] Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization [J].

Lucas, Marie-Francoise ;

Gaufriau, Adrien ;

Pascual, Sylvain ;

Doncarli, Christian ;

Farina, Dario .

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2008, 3 (02) :169-174

[9] Signal-dependent wavelets for electromyogram classification [J].

Maitrot, A ;

Lucas, MF ;

Doncarli, C ;

Farina, D .

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2005, 43 (04) :487-492

[10] Myoelectric control of a computer animated hand: A new concept based on the combined use of a tree-structured artificial neural network and a data glove [J].

Department of Electrical Measurements, Lund Institute of Technology, PO Box 118, SE-221 00 Lund, Sweden ;

不详 .

J. Med. Eng. Technol., 2006, 1 (2-10) :2-10