Influence of the training set on the accuracy of surface EMG classification in dynamic contractions for the control of multifunction prostheses

Journal of NeuroEngineering and Rehabilitation

Volumn 8, Issue 1, 2011, Pages

  Lorrain, Thomas ^a   Jiang, Ning ^b,c   Farina, Dario ^b  

^a AALBORG UNIVERSITY   (Denmark)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

^c Otto Bock HealthCare GmbH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALGORITHM; ANALYSIS OF VARIANCE; ARTICLE; ELECTROMYOGRAPHY; FEMALE; HAND; HUMAN; MALE; METHODOLOGY; MUSCLE CONTRACTION; PHYSIOLOGY; PROSTHESES AND ORTHOSES; PROSTHESIS; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY; SIGNAL PROCESSING; SKELETAL MUSCLE; STATISTICAL MODEL; WRIST;

ADULT; ALGORITHMS; ANALYSIS OF VARIANCE; ELECTROMYOGRAPHY; FEMALE; HAND; HUMANS; LINEAR MODELS; MALE; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PROSTHESES AND IMPLANTS; PROSTHESIS DESIGN; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; WRIST; YOUNG ADULT;

EID: 79955677322     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-8-25     Document Type: Article

References (16)

1. Myoelectric prostheses: State of the art. RN Scott PA Parker, J Med Eng Technol 1988 12 Suppl 4 143 151 3057209
2. A new strategy for multifunction myoelectric control. B Hudgins P Parker RN Scott, IEEE Transactions on Biomedical Engineering 1993 40 Suppl 1 82 94 8468080 (Pubitemid 24060692)
3. Functional separation of EMG signals via ARMA identification methods for prosthesis control purposes. D Graupe WK Cline, IEEE Trans Syst Man Cybern 1975 5 Suppl 2 252 259
4. Applying genetic programming to control of an artificial arm. KA Farry JJ Fernandez R Abramczyk M Novy D Atkins, Myoelectric Controls Conf.: Issues Upper Limb Prosthetics, Fredericton 1997 50 55
5. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses. Y Huang KB Englehart B Hudgins ADC Chan, IEEE Transactions on Biomedical Engineering 2005 52 Suppl 11 1801 1811 16285383 (Pubitemid 41578800)
6. Online electromyographic control of a robotic prosthesis. P Shenoy KJ Miller B Crawford RPN Rao, IEEE Transactions on Biomedical Engineering 2008 55 Suppl 3 1128 1135 18334405 (Pubitemid 351301229)
7. Principal components analysis preprocessing for improved classification accuracies in pattern-recognition-based myoelectric control. LJ Hargrove G Li KB Englehart BS Hudgins, IEEE Trans Biomed Eng 2009 56 Suppl 5 1407 1414 19473932
8. Multichannel surface EMG based estimation of bilateral hand kinematics during movements at multiple degrees of freedom. S Muceli N Jiang D Farina, IEEE-EMBC 2010 6066 6069
9. 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. F Sebelius L Eriksson C Balkenius T Laurell, J Med Eng Technol 2006 30 Suppl 1 2 10 16393847 (Pubitemid 43062213)
10. Principal components analysis tuning for improved myoelectric control. L Hargrove E Scheme K Englehart B Hudgins, 2007
11. A supervised feature-projection-based real-time EMG pattern recognition for multifunction myoelectric hand control. JU Chu I Moon YJ Lee SK Kim MS Mun, IEEE/ASME Transactions on Mechatronics 2007 12 Suppl 3 282 290 (Pubitemid 47018779)
12. A robust, real-time control scheme for multifunction myoelectric control. K Englehart B Hudgins, IEEE Transactions on Biomedical Engineering 2003 50 Suppl 7 848 854 12848352
13. The optimal controller delay for myoelectric prostheses. TR Farrell RF Weir, IEEE Transactions on Neural Systems and Rehabilitation Engineering 2007 15 Suppl 1 111 118 17436883
14. Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization. MF Lucas A Gaufriau S Pascual C Doncarli D Farina, Biomedical Signal Processing and Control 2008 3 Suppl 2 169 174 (Pubitemid 351426301)
15. Classification of the myoelectric signal using time-frequency based representations. K Englehart B Hudgins PA Parker M Stevenson, Medical Engineering and Physics 1999 21 Suppl 6-7 431 438 10624739 (Pubitemid 29537720)
16. Teager-Kaiser Operator improves the accuracy of EMG onset detection independent of signal-to-noise ratio. S Solnik P DeVita P Rider B Long T Hortobgyi, Acta of bioengineering and biomechanics/Wroclaw University of Technology 2008 10 Suppl 2 65 19152476