메뉴 건너뛰기




Volumn 38, Issue 4, 2011, Pages 4058-4067

Feature extraction of forearm EMG signals for prosthetics

Author keywords

EMG; Feature extraction; Mother wavelet; Prosthetics; Robotic hand; Signal classification; Signal processing

Indexed keywords

ELECTROMYOGRAPHIC SIGNAL; EMG; EMG SIGNAL; FEATURE VECTORS; HAND MOTION; MATRIX; MOTHER WAVELETS; NEEDLE ELECTRODES; ROBOTIC HAND; SEM; SIGNAL CLASSIFICATION; STATISTICAL FEATURES; SURFACE ELECTRODE; WAVELET PACKET TRANSFORMS;

EID: 78650701410     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.068     Document Type: Article
Times cited : (137)

References (42)
  • 1
    • 74849128015 scopus 로고    scopus 로고
    • Denoising of surface EMG with a modified Wiener filtering approach
    • 10.1016/j.jelekin.2009.02.003
    • G. Aschero, and P. Gizdulich Denoising of surface EMG with a modified Wiener filtering approach Journal of Electromyography and Kinesiology 2009 10.1016/j.jelekin.2009.02.003
    • (2009) Journal of Electromyography and Kinesiology
    • Aschero, G.1    Gizdulich, P.2
  • 2
    • 17144397524 scopus 로고    scopus 로고
    • Comparison of Fourier and wavelet transform procedures for examining mechanomyographic and electromyographic frequency versus isokinetic torque relationships
    • T.W. Beck, T.J. Housh, G.O. Johnson, J.P. Weir, J.T. Cramer, and J.W. Coburn Comparison of Fourier and wavelet transform procedures for examining mechanomyographic and electromyographic frequency versus isokinetic torque relationships Electromyography and Clinical Neurophysiology 45 2 2005 93 103
    • (2005) Electromyography and Clinical Neurophysiology , vol.45 , Issue.2 , pp. 93-103
    • Beck, T.W.1    Housh, T.J.2    Johnson, G.O.3    Weir, J.P.4    Cramer, J.T.5    Coburn, J.W.6
  • 3
    • 36349022077 scopus 로고    scopus 로고
    • Compression of biomedical signals with mother wavelet optimization and best-basis wavelet packet selection
    • L. Brechet, M.F. Lucas, C. Doncarli, and D. Farina Compression of biomedical signals with mother wavelet optimization and best-basis wavelet packet selection IEEE Transactions on Biomedical Engineering 54 12 2007
    • (2007) IEEE Transactions on Biomedical Engineering , vol.54 , Issue.12
    • Brechet, L.1    Lucas, M.F.2    Doncarli, C.3    Farina, D.4
  • 5
    • 50649089145 scopus 로고    scopus 로고
    • Time- and frequency-domain monitoring of the myoelectric signal during a long-duration, cyclic, force-varying, fatiguing hand-grip task
    • E.A. Clancy, M.V. Bertolina, R. Merletti, and D. Farina Time- and frequency-domain monitoring of the myoelectric signal during a long-duration, cyclic, force-varying, fatiguing hand-grip task Journal of Electromyography and Kinesiology 18 2008 789 797
    • (2008) Journal of Electromyography and Kinesiology , vol.18 , pp. 789-797
    • Clancy, E.A.1    Bertolina, M.V.2    Merletti, R.3    Farina, D.4
  • 6
    • 47049090821 scopus 로고    scopus 로고
    • Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study
    • D. Cvetkovic, E.D. Ub̈eyli, and I. Cosic Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study Digital Signal Processing: A Review Journal 18 5 2008 861 874
    • (2008) Digital Signal Processing: A Review Journal , vol.18 , Issue.5 , pp. 861-874
    • Cvetkovic, D.1    Ub̈eyli, E.D.2    Cosic, I.3
  • 8
    • 60649089244 scopus 로고    scopus 로고
    • Surface electromyography and muscle force: Limits in sEMG-force relationship and new approaches for applications
    • C. Disselhorst-Klug, T. Schmitz-Rode, and G. Rau Surface electromyography and muscle force: Limits in sEMG-force relationship and new approaches for applications Clinical Biomechanics 24 3 2009 225 235
    • (2009) Clinical Biomechanics , vol.24 , Issue.3 , pp. 225-235
    • Disselhorst-Klug, C.1    Schmitz-Rode, T.2    Rau, G.3
  • 10
    • 0035088706 scopus 로고    scopus 로고
    • A wavelet-based continuous classification scheme for multifunction myoelectric control
    • K. Englehart, B. Hudgins, and P.A. Parker A wavelet-based continuous classification scheme for multifunction myoelectric control IEEE Transactions on Biomedical Engineering 48 3 2001 302 311
    • (2001) IEEE Transactions on Biomedical Engineering , vol.48 , Issue.3 , pp. 302-311
    • Englehart, K.1    Hudgins, B.2    Parker, P.A.3
  • 11
    • 0032727526 scopus 로고    scopus 로고
    • Classification of the myoelectric signal using time-frequency based representations
    • DOI 10.1016/S1350-4533(99)00066-1, PII S1350453399000661
    • K. Englehart, B. Hudgins, P.A. Parker, and M. Stevenson Classification of the myoelectric signal using time-frequency based representations Medical Engineering and Physics 21 1999 431 438 (Pubitemid 29537720)
    • (1999) Medical Engineering and Physics , vol.21 , Issue.6-7 , pp. 431-438
    • Englehart, K.1    Hudgins, B.2    Parker, P.A.3    Stevenson, M.4
  • 12
    • 34047120060 scopus 로고    scopus 로고
    • Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters
    • D. Farina, O.F. do Nascimento, M.F. Lucas, and C. Doncarli Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters Journal of Neuroscience Methods 162 2007 357 363
    • (2007) Journal of Neuroscience Methods , vol.162 , pp. 357-363
    • Farina, D.1    Do Nascimento, O.F.2    Lucas, M.F.3    Doncarli, C.4
  • 13
  • 14
    • 1642337026 scopus 로고    scopus 로고
    • The extraction of neural strategies from the surface EMG
    • D. Farina, R. Merletti, and R.M. Enoka The extraction of neural strategies from the surface EMG Journal of Applied Physiology 96 4 2004 1486 1495
    • (2004) Journal of Applied Physiology , vol.96 , Issue.4 , pp. 1486-1495
    • Farina, D.1    Merletti, R.2    Enoka, R.M.3
  • 16
    • 2942564121 scopus 로고    scopus 로고
    • A new method for the extraction and classification of single motor unit action potentials from surface EMG signals
    • M. Gazzoni, D. Farina, and R. Merletti A new method for the extraction and classification of single motor unit action potentials from surface EMG signals Journal of Neuroscience Methods 136 2004 165 177
    • (2004) Journal of Neuroscience Methods , vol.136 , pp. 165-177
    • Gazzoni, M.1    Farina, D.2    Merletti, R.3
  • 19
    • 1042275722 scopus 로고    scopus 로고
    • Validation of the wavelet spectral estimation technique in Biceps Brachii and Brachioradialis fatigue assessment during prolonged low-level static and dynamic contractions
    • I. Hostens, J. Seghers, A. Spaepen, and H. Ramon Validation of the wavelet spectral estimation technique in Biceps Brachii and Brachioradialis fatigue assessment during prolonged low-level static and dynamic contractions Journal of Electromyography and Kinesiology 14 2004 205 215
    • (2004) Journal of Electromyography and Kinesiology , vol.14 , pp. 205-215
    • Hostens, I.1    Seghers, J.2    Spaepen, A.3    Ramon, H.4
  • 20
    • 70350568750 scopus 로고    scopus 로고
    • Reproducibility of MUAP properties in array surface EMG recordings of the upper trapezius and sternocleidomastoid muscle
    • 10.1016/j.jelekin. 2008.11.012
    • L.A.C. Kallenberg, S. Preece, C. Nester, and H.J. Hermens Reproducibility of MUAP properties in array surface EMG recordings of the upper trapezius and sternocleidomastoid muscle Journal of Electromyography and Kinesiology 2009 10.1016/ j.jelekin. 2008.11.012
    • (2009) Journal of Electromyography and Kinesiology
    • Kallenberg, L.A.C.1    Preece, S.2    Nester, C.3    Hermens, H.J.4
  • 21
    • 0029372837 scopus 로고
    • Estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model
    • Y. Koike, and M. Kawato Estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model Biological Cybernetics 73 4 1995 291 300
    • (1995) Biological Cybernetics , vol.73 , Issue.4 , pp. 291-300
    • Koike, Y.1    Kawato, M.2
  • 25
    • 41149127373 scopus 로고    scopus 로고
    • Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization
    • M.F. Lucas, A. Gaufriau, S. Pascual, C. Doncarli, and D. Farina Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization Biomedical Signal Processing and Control 3 2008 169 174
    • (2008) Biomedical Signal Processing and Control , Issue.3 , pp. 169-174
    • Lucas, M.F.1    Gaufriau, A.2    Pascual, S.3    Doncarli, C.4    Farina, D.5
  • 27
    • 0034489071 scopus 로고    scopus 로고
    • On automatic identification of upper-limb movements using small-sized training sets of EMG signals
    • S. Micera, A.M. Sabatini, and P. Dario On automatic identification of upper-limb movements using small-sized training sets of EMG signals Medical Engineering and Physics 22 8 2000 527 533
    • (2000) Medical Engineering and Physics , vol.22 , Issue.8 , pp. 527-533
    • Micera, S.1    Sabatini, A.M.2    Dario, P.3
  • 28
    • 60849121062 scopus 로고    scopus 로고
    • An integrated intelligent computing model for the interpretation of EMG based neuromuscular diseases
    • B. Pandey, and R.B. Mishra An integrated intelligent computing model for the interpretation of EMG based neuromuscular diseases Expert Systems with Applications 36 5 2009 9201 9213
    • (2009) Expert Systems with Applications , vol.36 , Issue.5 , pp. 9201-9213
    • Pandey, B.1    Mishra, R.B.2
  • 32
    • 63449084621 scopus 로고    scopus 로고
    • Use of autocorrelation of wavelet coefficients for fault diagnosis
    • J. Rafiee, and P.W. Tse Use of autocorrelation of wavelet coefficients for fault diagnosis Mechanical Systems and Signal Processing 23 2009 1554 1572
    • (2009) Mechanical Systems and Signal Processing , vol.23 , pp. 1554-1572
    • Rafiee, J.1    Tse, P.W.2
  • 33
    • 50549085162 scopus 로고    scopus 로고
    • Diversity-based combination of non-parametric classifiers for EMG signal decomposition
    • S. Rasheed, D.W. Stashuk, and M.S. Kamel Diversity-based combination of non-parametric classifiers for EMG signal decomposition Pattern Analysis and Applications 11 3-4 2008 385 408
    • (2008) Pattern Analysis and Applications , vol.11 , Issue.34 , pp. 385-408
    • Rasheed, S.1    Stashuk, D.W.2    Kamel, M.S.3
  • 35
    • 0032840095 scopus 로고    scopus 로고
    • A hybrid approach to EMG pattern analysis for classification of arm movements using statistical and fuzzy techniques
    • S. Silvestro Micera, A.M. Sabatini, P. Dario, and B. Rossi A hybrid approach to EMG pattern analysis for classification of arm movements using statistical and fuzzy techniques Medical Engineering and Physics 21 1999 303 311
    • (1999) Medical Engineering and Physics , vol.21 , pp. 303-311
    • Silvestro Micera, S.1    Sabatini, A.M.2    Dario, P.3    Rossi, B.4
  • 36
    • 17844371713 scopus 로고    scopus 로고
    • Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients
    • A. Subasi Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients Expert Systems with Applications 28 4 2005 701 711
    • (2005) Expert Systems with Applications , vol.28 , Issue.4 , pp. 701-711
    • Subasi, A.1
  • 37
    • 33750338211 scopus 로고    scopus 로고
    • Feature selection using Haar wavelet power spectrum
    • P. Subramani, R. Sahu, and S. Verma Feature selection using Haar wavelet power spectrum BMC Bioinformatics 2006 art. no. 432
    • (2006) BMC Bioinformatics
    • Subramani, P.1    Sahu, R.2    Verma, S.3
  • 38
    • 0030127507 scopus 로고    scopus 로고
    • A review of wavelets in biomedical applications
    • Unser, M.; Aldroubi, A. (1996). A review of wavelets in biomedical applications. Proceedings of the IEEE 84 (4), 626-638.
    • (1996) Proceedings of the IEEE , vol.84 , Issue.4 , pp. 626-638
    • Unser, M.1    Aldroubi, A.2
  • 39
    • 0033728881 scopus 로고    scopus 로고
    • Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution
    • V. von Tscharner Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution Journal of Electromyography and Kinesiology 10 2000 433 445
    • (2000) Journal of Electromyography and Kinesiology , vol.10 , pp. 433-445
    • Von Tscharner, V.1
  • 40
    • 68949186244 scopus 로고    scopus 로고
    • Spherical classification of wavelet transformed EMG intensity patterns
    • 10.1016/j.jelekin.2008.07.001
    • V. von Tscharner Spherical classification of wavelet transformed EMG intensity patterns Journal of Electromyography and Kinesiology 2008 10.1016/j.jelekin.2008.07.001
    • (2008) Journal of Electromyography and Kinesiology
    • Von Tscharner, V.1
  • 42
    • 60749088342 scopus 로고    scopus 로고
    • Estimation of wrist angle from sonomyography using support vector machine and artificial neural network models
    • H.-B. Xie, Y.-P. Zheng, J.-Y. Guo, X. Chen, and J. Shi Estimation of wrist angle from sonomyography using support vector machine and artificial neural network models Medical Engineering and Physics 31 3 2009 384 391
    • (2009) Medical Engineering and Physics , vol.31 , Issue.3 , pp. 384-391
    • Xie, H.-B.1    Zheng, Y.-P.2    Guo, J.-Y.3    Chen, X.4    Shi, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.