Study of stability of time-domain features for electromyographic pattern recognition

Journal of NeuroEngineering and Rehabilitation

Volumn 7, Issue 1, 2010, Pages

  Tkach, Dennis ^a,b   Huang, He ^a,c   Kuiken, Todd A ^a,d  

^a REHABILITATION INSTITUTE OF CHICAGO   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c University of Rhode Island   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; ELECTRODE; ELECTROMYOGRAPHY; FEMALE; HUMAN; INSTRUMENTATION; MALE; METHODOLOGY; MUSCLE FATIGUE; MUSCLE ISOMETRIC CONTRACTION; PHYSIOLOGY; SKELETAL MUSCLE; TIME;

ADULT; ALGORITHMS; ELECTRODES; ELECTROMYOGRAPHY; FEMALE; HUMANS; ISOMETRIC CONTRACTION; MALE; MUSCLE FATIGUE; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; TIME;

EID: 77952443226     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-7-21     Document Type: Article

References (30)

1. JV Basmajian CJ De Luca, Muscles alive: their functions revealed by electromyography Baltimore: Williams & Wilkins 5 1985
2. Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms. TA Kuiken G Li BA Lock RD Lipschutz LA Miller KA Stubblefield KB Englehart, Jama 2009 301 619 628 10.1001/jama.2009.116 19211469
3. Electromyography-controlled exoskeletal upper-limb-powered orthosis for exercise training after stroke. J Stein K Narendran J McBean K Krebs R Hughes, Am J Phys Med Rehabil 2007 86 255 261 10.1097/PHM.0b013e3180383cc5 17413538
4. A myosignal-based powered exoskeleton system. J Rosen M Brand MB Fuchs M Arcan, IEEE Transation on System, Man, and Cybernetics 2001 31 210 222 10.1109/3468.925661 (Pubitemid 32585017)
5. Customized interactive robotic treatment for stroke: EMG-triggered therapy. L Dipietro M Ferraro JJ Palazzolo HI Krebs BT Volpe N Hogan, IEEE Trans Neural Syst Rehabil Eng 2005 13 325 334 10.1109/TNSRE.2005.850423 16200756
6. EMG-based neuro-fuzzy control of a 4DOF upper-limb power-assist exoskeleton. K Kiguchi Y Imada M Liyanage, Conf Proc IEEE Eng Med Biol Soc 2007 2007 3040 3043 18002635
7. Human-machine interfaces based on EMG and EEG applied to robotic systems. A Ferreira WC Celeste FA Cheein TF Bastos-Filho M Sarcinelli-Filho R Carelli, J Neuroeng Rehabil 2008 5 10 10.1186/1743-0003-5-10 18366775
8. Development and quantitative performance evaluation of a noninvasive EMG computer interface. C Choi S Micera J Carpaneto J Kim, IEEE Trans Biomed Eng 2009 56 188 191 10.1109/TBME.2008.2005950 19224732
9. Practical methods for controlling powered upper-extremity prostheses. TW Williams, Assist Technol 1990 2 3 18 10149040
10. A robust, real-time control scheme for multifunction myoelectric control. K Englehart B Hudgins, IEEE Trans Biomed Eng 2003 50 848 854 10.1109/TBME.2003.813539 12848352
11. Classification of the myoelectric signal using time-frequency based representations. K Englehart B Hudgins PA Parker M Stevenson, Med Eng Phys 1999 21 431 438 10.1016/S1350-4533(99)00066-1 10624739 (Pubitemid 29537720)
12. EMG feature evaulation for movement control of upper extrmity prostheses. M Zardoshti-Kermani B Wheeler K Badie R Hashemi, IEEE Trans Rehabil Eng 1995 3 324 333 10.1109/86.481972
13. A Comparison of Surface and Intramuscular Myoelectric Signal Classification. L Hargrove K Englehart B Hudgins, IEEE Transactions on Biomedical Engineering 2007 54 847 853 10.1109/TBME.2006.889192 17518281 (Pubitemid 46628567)
14. On automatic identification of upper-limb movements using small-sized training sets of EMG signals. S Micera AM Sabatini P Dario, Med Eng Phys 2000 22 527 533 10.1016/S1350-4533(00)00069-2 11182577
15. Control of multifunctional prosthetic hands by processing the electromyographic signal. M Zecca S Micera MC Carrozza P Dario, Crit Rev Biomed Eng 2002 30 459 485 10.1615/CritRevBiomedEng.v30.i456.80 12739757
16. Adaptive pattern recognition of myoelectric signals: exploration of conceptual framework and practical algorithms. JW Sensinger BA Lock TA Kuiken, IEEE Trans Neural Syst Rehabil Eng 2009 17 270 278 10.1109/TNSRE.2009.2023282 19497834
17. Factors influencing quantified surface EMGs. B Vigreux JC Cnockaert E Pertuzon, Eur J Appl Physiol Occup Physiol 1979 41 119 129 10.1007/BF00421659 467411
18. Myoelectric signal conduction velocity and spectral parameters: influence of force and time. H Broman G Bilotto CJ De Luca, J Appl Physiol 1985 58 1428 1437 3997710
19. Energy supply and muscle fatigue in humans. K Sahlin M Tonkonogi K Soderlund, Acta Physiol Scand 1998 162 261 266 10.1046/j.1365-201X.1998.0298f.x 9578371
20. The relationship between voluntary electromyogram, endurance time and intensity of effort in isometric handgrip exercise. W West A Hicks L Clements J Dowling, Eur J Appl Physiol Occup Physiol 1995 71 301 305 10.1007/BF00240408 8549571
21. EF Delagi A Perotto, Anatomic guide for the electromyographer - the limbs Springfield, Ill.: Thomas 2 1980
22. Mechanisms of fatigue differ after low- and high-force fatiguing contractions in men and women. T Yoon B Schlinder Delap EE Griffith SK Hunter, Muscle Nerve 2007 36 515 524 10.1002/mus.20844 17626289
23. Relationship of contraction capacity to metabolic changes during recovery from a fatiguing contraction. K Sahlin JM Ren, J Appl Physiol 1989 67 648 654 2793665
24. Fatigue and functional performance of human biceps muscle following concentric or eccentric contractions. IC Smith DJ Newham, J Appl Physiol 2007 102 207 213 10.1152/japplphysiol.00571.2006 16990506
25. Decoding a New Neural-Machine Interface for Control of Artificial Limbs. P Zhou MM Lowery KB Englehart H Huang G Li L Hargrove JP Dewald TA Kuiken, J Neurophysiol 2007 17728391
26. Multifunctional prosthesis and orthosis control via microcomputer identification of temporal pattern differences in single-site myoelectric signals. D Graupe J Salahi KH Kohn, J Biomed Eng 1982 4 17 22 10.1016/0141-5425(82)90021-8 7078136
27. A new strategy for multifunction myoelectric control. B Hudgins P Parker RN Scott, IEEE Trans Biomed Eng 1993 40 82 94 10.1109/10.204774 8468080
28. Real-time intelligent pattern recognition algorithm for surface EMG signals. M Khezri M Jahed, Biomed Eng Online 2007 6 45 10.1186/1475-925X-6-45 18053184
29. The effect of electrode displacements on pattern recognition based myoelectric contro. L Hargrove K Englehart B Hudgins, the 28th IEEE EMG Annual International Conference; New York City 2006
30. A strategy for identifying locomotion modes using surface electromyography. H Huang TA Kuiken RD Lipschutz, IEEE Trans Biomed Eng 2009 56 65 73 10.1109/TBME.2008.2003293 19224720