메뉴 건너뛰기




Volumn 11, Issue 4, 2012, Pages

Investigating long-term effects of feature extraction methods for continuous emg pattern classification

Author keywords

Electromyography signal; human computer interface; linear discriminant analysis; multifunction myoelectric control system; reusability; robustness

Indexed keywords


EID: 84871160897     PISSN: 02194775     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219477512500289     Document Type: Article
Times cited : (34)

References (41)
  • 4
  • 5
    • 0036337540 scopus 로고    scopus 로고
    • EMG analysis of two portions of the vastus medialis muscle during selected knee rehabilitation exercises
    • J. K. Hubbard and S. Opersteny, EMG analysis of two portions of the vastus medialis muscle during selected knee rehabilitation exercises, J. Musculoskelet. Res. 6 (2002) 107-118.
    • (2002) J. Musculoskelet. Res. , vol.6 , pp. 107-118
    • Hubbard, J.K.1    Opersteny, S.2
  • 6
    • 84863033966 scopus 로고    scopus 로고
    • Empirical copula-based templates to recognize surface EMG signals of hand motions
    • Z. Ju, X. Zhu and H. Liu, Empirical copula-based templates to recognize surface EMG signals of hand motions, Int. J. Humanoid Rob. 8 (2011) 725-741.
    • (2011) Int. J. Humanoid Rob. , vol.8 , pp. 725-741
    • Ju, Z.1    Zhu, X.2    Liu, H.3
  • 7
    • 84863067208 scopus 로고    scopus 로고
    • Fusing EMG and visual data for hands-free control of an intelligent wheelchair
    • L. Wei, H. Hu and Y. Zhang, Fusing EMG and visual data for hands-free control of an intelligent wheelchair, Int. J. Humanoid Rob. 8 (2011) 707-724.
    • (2011) Int. J. Humanoid Rob. , vol.8 , pp. 707-724
    • Wei, L.1    Hu, H.2    Zhang, Y.3
  • 8
    • 80053025929 scopus 로고    scopus 로고
    • Robot assisted stroke rehabilitation: Joint torque/force conversion from EMG using SA process
    • S. Parasuraman, A. W. Oyong and V. L. Jauw, Robot assisted stroke rehabilitation: Joint torque/force conversion from EMG using SA process, J. Mech. Med. Biol. 11 (2011) 691-704.
    • (2011) J. Mech. Med. Biol. , vol.11 , pp. 691-704
    • Parasuraman, S.1    Oyong, A.W.2    Jauw, V.L.3
  • 9
    • 38749148834 scopus 로고    scopus 로고
    • A real-time EMG-driven arm wrestling robot considering motion characteristics of human upper limbs
    • Q. Song, Y. Yu, Y. Ge, Z. Gao, H. Shen and X. Deng, A real-time EMG-driven arm wrestling robot considering motion characteristics of human upper limbs, Int. J. Humanoid Rob. 4 (2007) 645-670.
    • (2007) Int. J. Humanoid Rob. , vol.4 , pp. 645-670
    • Song, Q.1    Yu, Y.2    Ge, Y.3    Gao, Z.4    Shen, H.5    Deng, X.6
  • 10
    • 79955831275 scopus 로고    scopus 로고
    • Wavelet-based denoising algorithm for robust EMG pattern recognition
    • A. Phinyomark, P. Phukpattaranont and C. Limsakul, Wavelet-based denoising algorithm for robust EMG pattern recognition, Fluctuation Noise Lett. 10 (2011) 157-167.
    • (2011) Fluctuation Noise Lett. , vol.10 , pp. 157-167
    • Phinyomark, A.1    Phukpattaranont, P.2    Limsakul, C.3
  • 11
    • 42249101059 scopus 로고    scopus 로고
    • The application of mutual information-based feature selection and fuzzy LS-SVM-based classifier in motion classification
    • Z. Yan, Z. Wang and H. Xie, The application of mutual information-based feature selection and fuzzy LS-SVM-based classifier in motion classification, Comput. Methods Programs Biomed. 90 (2008) 275-284.
    • (2008) Comput. Methods Programs Biomed. , vol.90 , pp. 275-284
    • Yan, Z.1    Wang, Z.2    Xie, H.3
  • 12
    • 69849106721 scopus 로고    scopus 로고
    • Motion classification of EMG signals based on wavelet packet transform and LS-SVMS ensemble
    • Z. Yan, X. You, L. Chen and X. Ye, Motion classification of EMG signals based on wavelet packet transform and LS-SVMS ensemble, Trans. Tianjin Univ. 15 (2009) 300-307.
    • (2009) Trans. Tianjin Univ. , vol.15 , pp. 300-307
    • Yan, Z.1    You, X.2    Chen, L.3    Ye, X.4
  • 13
    • 0032727526 scopus 로고    scopus 로고
    • Classification of the myoelectric signal using time-frequency based representations
    • K. Englehart, B. Hudgin, P. A. Parker and M. Stevenson, Classification of the myoelectric signal using time-frequency based representations, Med. Eng. Phys. 21 (1999) 431-438.
    • (1999) Med. Eng. Phys. , vol.21 , pp. 431-438
    • Englehart, K.1    Hudgin, B.2    Parker, P.A.3    Stevenson, M.4
  • 14
    • 0035088706 scopus 로고    scopus 로고
    • A wavelet-based continuous classification scheme for multifunction myoelectric control
    • K. Englehart, B. Hudgin and P. A. Parker, A wavelet-based continuous classification scheme for multifunction myoelectric control, IEEE Trans. Biomed. Eng. 48 (2001) 302-311.
    • (2001) IEEE Trans. Biomed. Eng. , vol.48 , pp. 302-311
    • Englehart, K.1    Hudgin, B.2    Parker, P.A.3
  • 15
    • 34347378883 scopus 로고    scopus 로고
    • Recognition of electromyographic signals using cascaded kernel learning machine
    • Y. H. Liu, H. P. Huang and C. H. Weng, Recognition of electromyographic signals using cascaded kernel learning machine, IEEE/ASME Trans. Mechatronics 12 (2007) 253-264.
    • (2007) IEEE/ASME Trans. Mechatronics , vol.12 , pp. 253-264
    • Liu, Y.H.1    Huang, H.P.2    Weng, C.H.3
  • 16
    • 77952562740 scopus 로고    scopus 로고
    • Orthogonal fuzzy neighborhood discriminant analysis for multifunction myoelectric hand control
    • R. N. Khushaba, A. Al-Ani and A. Al-Jumaily, Orthogonal fuzzy neighborhood discriminant analysis for multifunction myoelectric hand control, IEEE Trans. Biomed. Eng. 57 (2010) 1410-1419.
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , pp. 1410-1419
    • Khushaba, R.N.1    Al-Ani, A.2    Al-Jumaily, A.3
  • 17
    • 63349089891 scopus 로고    scopus 로고
    • Evolutionary fuzzy discriminant analysis feature projection technique in myoelectric control
    • R. N. Khushaba, A. Al-Jumaily and A. Al-Ani, Evolutionary fuzzy discriminant analysis feature projection technique in myoelectric control, Pattern Recognit. Lett. 30 (2009) 699-707
    • (2009) Pattern Recognit. Lett. , vol.30 , pp. 699-707
    • Khushaba, R.N.1    Al-Jumaily, A.2    Al-Ani, A.3
  • 19
    • 0027135489 scopus 로고
    • A new strategy for multifunction myoelectric control
    • B. Hudgins, P. Parker and R. Scott, A new strategy for multifunction myoelectric control, IEEE Trans. Biomed. Eng. 40 (1993) 82-94.
    • (1993) IEEE Trans. Biomed. Eng. , vol.40 , pp. 82-94
    • Hudgins, B.1    Parker, P.2    Scott, R.3
  • 20
    • 84856265945 scopus 로고    scopus 로고
    • Identification of motion from multi-channel EMG signals for control of prosthetic hand
    • P. Geethanjali and K. K. Ray, Identification of motion from multi-channel EMG signals for control of prosthetic hand, Australas. Phys. Eng. Sci. Med. 34 (2011) 419-427.
    • (2011) Australas. Phys. Eng. Sci. Med. , vol.34 , pp. 419-427
    • Geethanjali, P.1    Ray, K.K.2
  • 21
    • 77249161100 scopus 로고    scopus 로고
    • Portable hand motion classifier for multi-channel surface electromyography recognition using grey relational analysis
    • Y.-C. Du, C.-H. Lin, L.-Y. Shyu and T. Chen, Portable hand motion classifier for multi-channel surface electromyography recognition using grey relational analysis, Expert Syst. Appl. 37 (2010) 4283-4291.
    • (2010) Expert Syst. Appl. , vol.37 , pp. 4283-4291
    • Du, Y.-C.1    Lin, C.-H.2    Shyu, L.-Y.3    Chen, T.4
  • 22
    • 79958814582 scopus 로고    scopus 로고
    • Conditioning and sampling issues of EMG signals in motion recognition of multifunctional myoelectric prostheses
    • G. Li, Y. Li, L. Yu and Y. Geng, Conditioning and sampling issues of EMG signals in motion recognition of multifunctional myoelectric prostheses, Ann. Biomed. Eng. 39 (2011) 1779-1787.
    • (2011) Ann. Biomed. Eng. , vol.39 , pp. 1779-1787
    • Li, G.1    Li, Y.2    Yu, L.3    Geng, Y.4
  • 23
    • 79951706431 scopus 로고    scopus 로고
    • Indicator of the quality of the sensor setup: A study using surface EMG on sub-band ICA
    • G. R. Naik and D. K. Kumar, Indicator of the quality of the sensor setup: A study using surface EMG on sub-band ICA, Int. J. Innovative Comput. Inf. Control 7 (2011) 1285-1298.
    • (2011) Int. J. Innovative Comput. Inf. Control , vol.7 , pp. 1285-1298
    • Naik, G.R.1    Kumar, D.K.2
  • 24
    • 79954524147 scopus 로고    scopus 로고
    • Determining the optimal window length for pattern recognition-based myoelectric control: Balancing the competing effects of classification error and controller delay
    • L. H. Smith, L. J. Hargrove, B. A. Lock and T. A. Kuiken, Determining the optimal window length for pattern recognition-based myoelectric control: Balancing the competing effects of classification error and controller delay, IEEE Trans. Neural Syst. Rehabil. Eng. 19 (2011) 186-192.
    • (2011) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.19 , pp. 186-192
    • Smith, L.H.1    Hargrove, L.J.2    Lock, B.A.3    Kuiken, T.A.4
  • 25
    • 79956346285 scopus 로고    scopus 로고
    • Selective classification for improved robustness of myoelectric control under nonideal conditions
    • E. J. Scheme, K. B. Englehart and B. S. Hudgins, Selective classification for improved robustness of myoelectric control under nonideal conditions, IEEE Trans. Biomed. Eng. 58 (2011) 1698-1705.
    • (2011) IEEE Trans. Biomed. Eng. , vol.58 , pp. 1698-1705
    • Scheme, E.J.1    Englehart, K.B.2    Hudgins, B.S.3
  • 26
    • 47649094596 scopus 로고    scopus 로고
    • Support vector machine-based classification scheme for myoelectric control applied to upper limb
    • M. A. Oskoei and H. Hu, Support vector machine-based classification scheme for myoelectric control applied to upper limb, IEEE Trans. Biomed. Eng. 55 (2008) 1956-1965.
    • (2008) IEEE Trans. Biomed. Eng. , vol.55 , pp. 1956-1965
    • Oskoei, M.A.1    Hu, H.2
  • 28
    • 79955677322 scopus 로고    scopus 로고
    • Influence of the training set on the accuracy of surface EMG classification in dynamic contractions for the control of multifunction prostheses
    • T. Lorrain, N. Jiang and D. Farina, Influence of the training set on the accuracy of surface EMG classification in dynamic contractions for the control of multifunction prostheses, J. NeuroEng. Rehabil. 8 (2011) 1-8.
    • (2011) J. NeuroEng. Rehabil. , vol.8 , pp. 1-8
    • Lorrain, T.1    Jiang, N.2    Farina, D.3
  • 33
    • 77952443226 scopus 로고    scopus 로고
    • Study of stability of time-domain features for electromyographic pattern recognition
    • D. Tkach, H. Huang and T. A. Kuiken, Study of stability of time-domain features for electromyographic pattern recognition, J. NeuroEng. Rehabil. 7 (2010) 1-13.
    • (2010) J. NeuroEng. Rehabil. , vol.7 , pp. 1-13
    • Tkach, D.1    Huang, H.2    Kuiken, T.A.3
  • 34
    • 84857653669 scopus 로고    scopus 로고
    • Feature reduction and selection for EMG signal classification
    • A. Phinyomark, P. Phukpattaranont and C. Limsakul, Feature reduction and selection for EMG signal classification, Expert Syst. Appl. 39 (2012) 7420-7431.
    • Expert Syst. Appl. , vol.39 , Issue.2012 , pp. 7420-7431
    • Phinyomark, A.1    Phukpattaranont, P.2    Limsakul, C.3
  • 36
    • 84861184205 scopus 로고    scopus 로고
    • Fractal analysis features for weak and single-channel upper-limb EMG signals
    • A. Phinyomark, P. Phukpattaranont and C. Limsakul, Fractal analysis features for weak and single-channel upper-limb EMG signals, Expert Syst. Appl. 39 (2012) 11156-11163.
    • Expert Syst. Appl. , vol.39 , Issue.2012 , pp. 11156-11163
    • Phinyomark, A.1    Phukpattaranont, P.2    Limsakul, C.3
  • 37
    • 0029347476 scopus 로고
    • The application of cepstral coefficients and maximum likelihood method in EMG pattern recognition
    • W. J. Kang, J. R. Shiu, C. K. Cheng, J. S. Lai, H. W. Tsao and T. S. Kuo, The application of cepstral coefficients and maximum likelihood method in EMG pattern recognition, IEEE Trans. Biomed. Eng. 42 (1995) 777-785.
    • (1995) IEEE Trans. Biomed. Eng. , vol.42 , pp. 777-785
    • Kang, W.J.1    Shiu, J.R.2    Cheng, C.K.3    Lai, J.S.4    Tsao, H.W.5    Kuo, T.S.6
  • 38
    • 0022929612 scopus 로고
    • Short time Fourier analysis of the electromyogram: Fast movements and constant contraction
    • B. Hannaford and S. Lehman, Short time Fourier analysis of the electromyogram: Fast movements and constant contraction, IEEE Trans. Biomed. Eng. 33 (1986) 1173-1181.
    • (1986) IEEE Trans. Biomed. Eng. , vol.33 , pp. 1173-1181
    • Hannaford, B.1    Lehman, S.2
  • 39
    • 79958103012 scopus 로고    scopus 로고
    • Application of wavelet analysis in EMG feature extraction for pattern classification
    • A. Phinyomark, C. Limsakul and P. Phukpattaranont, Application of wavelet analysis in EMG feature extraction for pattern classification, Meas. Sci. Rev. 11 (2011) 45-52.
    • (2011) Meas. Sci. Rev. , vol.11 , pp. 45-52
    • Phinyomark, A.1    Limsakul, C.2    Phukpattaranont, P.3
  • 40
    • 84866914017 scopus 로고    scopus 로고
    • Feature extraction and reduction of wavelet transform coefficients for EMG pattern classification
    • A. Phinyomark, A. Nuidod, P. Phukpattaranont and C. Limsakul, Feature extraction and reduction of wavelet transform coefficients for EMG pattern classification, Elektronika ir Elektrotechnika 122 (2012) 27-32.
    • Elektronika Ir Elektrotechnika , vol.122 , Issue.2012 , pp. 27-32
    • Phinyomark, A.1    Nuidod, A.2    Phukpattaranont, P.3    Limsakul, C.4
  • 41
    • 0042664129 scopus 로고    scopus 로고
    • A robust, real-time control scheme for multifunction myoelectric control
    • K. Englehart and B. Hudgin, A robust, real-time control scheme for multifunction myoelectric control, IEEE Trans. Biomed. Eng. 50 (2003) 848-854.
    • (2003) IEEE Trans. Biomed. Eng. , vol.50 , pp. 848-854
    • Englehart, K.1    Hudgin, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.