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Volumn 14, Issue 3, 2010, Pages 866-882

Integrating heterogeneous classifier ensembles for EMG signal decomposition based on classifier agreement

Author keywords

statistic; Base classifiers; Classifier agreement; Classifier ensemble; Diversity measure; Hybrid classifier fusion; Motor unit potential classification

Indexed keywords

BASE CLASSIFIERS; CLASSIFIER AGREEMENTS; CLASSIFIER ENSEMBLES; DIVERSITY MEASURE; HYBRID CLASSIFIER; MOTOR UNIT; MOTOR UNIT POTENTIAL CLASSIFICATION;

EID: 77953144107     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2008.2010552     Document Type: Article
Times cited : (14)

References (38)
  • 2
    • 0035202645 scopus 로고    scopus 로고
    • An approach to the automatic design of multiple classifier systems
    • G. Giacinto and F. Roli, "An approach to the automatic design of multiple classifier systems," Pattern Recognit. Lett., vol.22, pp. 25-33, 2001.
    • (2001) Pattern Recognit. Lett. , vol.22 , pp. 25-33
    • Giacinto, G.1    Roli, F.2
  • 3
    • 34548129294 scopus 로고    scopus 로고
    • A hybrid classifier fusion approach for motor unit potential classification during EMG signal decomposition
    • Sep.
    • S. Rasheed, D. Stashuk, and M. Kamel, "A hybrid classifier fusion approach for motor unit potential classification during EMG signal decomposition," IEEE Trans. Biomed. Eng., vol.54, no.9, pp. 1715-1721, Sep. 2007.
    • (2007) IEEE Trans. Biomed. Eng. , vol.54 , Issue.9 , pp. 1715-1721
    • Rasheed, S.1    Stashuk, D.2    Kamel, M.3
  • 5
    • 0032701130 scopus 로고    scopus 로고
    • Decomposition and quantitative analysis of clinical electromyographic signals
    • D.W. Stashuk, "Decomposition and quantitative analysis of clinical electromyographic signals," Med. Eng. Phys., vol.21, pp. 389-404, 1999.
    • (1999) Med. Eng. Phys. , vol.21 , pp. 389-404
    • Stashuk, D.W.1
  • 7
    • 0035028021 scopus 로고    scopus 로고
    • EMG signal decomposition: How can it be accomplished and used?
    • D.W. Stashuk, "EMG signal decomposition: How can it be accomplished and used?," J. Electromyogr. Kinesiol., vol.11, pp. 151-173, 2001.
    • (2001) J. Electromyogr. Kinesiol. , vol.11 , pp. 151-173
    • Stashuk, D.W.1
  • 8
    • 0031985244 scopus 로고    scopus 로고
    • Robust supervised classification ofmotor unit action potentials
    • D.W. Stashuk and G.M. Paoli, "Robust supervised classification ofmotor unit action potentials," Med. Biol. Eng. Comput., vol.36, no.1, pp. 75-82, 1998.
    • (1998) Med. Biol. Eng. Comput. , vol.36 , Issue.1 , pp. 75-82
    • Stashuk, D.W.1    Paoli, G.M.2
  • 9
    • 33745456883 scopus 로고    scopus 로고
    • Adaptive certainty-based classification for decomposition of EMG signals
    • DOI 10.1007/s11517-006-0033-5
    • S. Rasheed, D. Stashuk, and M. Kamel, "Adaptive certainty-based classification for decomposition of EMG signals," Med. Biol. Eng. Comput., vol.44, no.4, pp. 298-310, 2006. (Pubitemid 43949706)
    • (2006) Medical and Biological Engineering and Computing , vol.44 , Issue.4 , pp. 298-310
    • Rasheed, S.1    Stashuk, D.2    Kamel, M.3
  • 11
    • 37349079982 scopus 로고    scopus 로고
    • A software package for interactive motor unit potential classification using fuzzy κ-NN classifier
    • S. Rasheed,D. Stashuk, andM.Kamel, "A software package for interactive motor unit potential classification using fuzzy κ-NN classifier," Comput. Methods Programs Biomed., vol.89, no.1, pp. 56-71, 2008.
    • (2008) Comput. Methods Programs Biomed. , vol.89 , Issue.1 , pp. 56-71
    • Rasheed, S.1    Stashuk, D.2    Kamel, M.3
  • 12
    • 33744813564 scopus 로고    scopus 로고
    • Adaptive fuzzy k-NN classifier for EMGsignal decomposition
    • S. Rasheed, D. Stashuk, and M. Kamel, "Adaptive fuzzy k-NN classifier for EMGsignal decomposition," Med. Eng. Phys., vol.28, no.7, pp. 694-709, 2006.
    • (2006) Med. Eng. Phys. , vol.28 , Issue.7 , pp. 694-709
    • Rasheed, S.1    Stashuk, D.2    Kamel, M.3
  • 13
    • 0035263073 scopus 로고    scopus 로고
    • Fast template matching using bounded partial correlation
    • L. D. Stefano and S. Mattoccia, "Fast template matching using bounded partial correlation," Mach. Vis. Appl., vol.13, pp. 213-221, 2003.
    • (2003) Mach. Vis. Appl. , vol.13 , pp. 213-221
    • Stefano, L.D.1    Mattoccia, S.2
  • 15
    • 33646364829 scopus 로고    scopus 로고
    • Automated decomposition of intramuscular electromyographic signals
    • May
    • J. R. Florestal, P. A. Mathieu, and A. Malanda, "Automated decomposition of intramuscular electromyographic signals," IEEE Trans. Biomed. Eng., vol.53, no.5, pp. 832-839, May 2006.
    • (2006) IEEE Trans. Biomed. Eng. , vol.53 , Issue.5 , pp. 832-839
    • Florestal, J.R.1    Mathieu, P.A.2    Malanda, A.3
  • 16
    • 0030585190 scopus 로고    scopus 로고
    • Engineering multiversion neural-net systems
    • D. Partridge and W. B. Yates, "Engineering multiversion neural-net systems," Neural Comput., vol.8, pp. 869-893, 1996.
    • (1996) Neural Comput. , vol.8 , pp. 869-893
    • Partridge, D.1    Yates, W.B.2
  • 17
    • 84867074502 scopus 로고    scopus 로고
    • The test and select approach to ensemble combination
    • Multiple Classifier Systems, J. Kittler and F. Roli, Eds. Gagliari, Italy: Springer-Verlag
    • A. J. C. Sharkey, N. E. Sharkey, U. Gerecke, and G. O. Chandroth, "The test and select approach to ensemble combination," in Multiple Classifier Systems (Lecture Notes in Computer Science), vol.1857, J. Kittler and F. Roli, Eds. Gagliari, Italy: Springer-Verlag, 2000, pp. 30-44.
    • (2000) Lecture Notes in Computer Science , vol.1857 , pp. 30-44
    • Sharkey, A.J.C.1    Sharkey, N.E.2    Gerecke, U.3    Chandroth, G.O.4
  • 18
    • 6344227338 scopus 로고    scopus 로고
    • Design of multiple classifier systems
    • H. Bunke and A. Kandel, Eds. Cambridge, MA: World Scientific
    • F. Roli and G. Giacinto, "Design of multiple classifier systems," in Hybrid Methods in Pattern Recognition, H. Bunke and A. Kandel, Eds. Cambridge, MA: World Scientific, 2002, pp. 199-226.
    • (2002) Hybrid Methods in Pattern Recognition , pp. 199-226
    • Roli, F.1    Giacinto, G.2
  • 19
    • 84956994921 scopus 로고    scopus 로고
    • Methods for designing multiple classifier systems
    • Proceedings of the Second International Workshop on Multiple Classifier Systems, J. Kittler and F. Roli, Eds. New York: Springer-Verlag
    • F. Roli, G. Giacinto, and G. Vernazza, "Methods for designing multiple classifier systems," in Proceedings of the Second International Workshop on Multiple Classifier Systems (Lecture Notes in Computer Science), vol.2096, J. Kittler and F. Roli, Eds. New York: Springer-Verlag, 2001, pp. 78-87.
    • (2001) Lecture Notes in Computer Science , vol.2096 , pp. 78-87
    • Roli, F.1    Giacinto, G.2    Vernazza, G.3
  • 21
    • 84973587732 scopus 로고
    • A coefficient of agreement for nominal scales
    • J. Cohen, "A coefficient of agreement for nominal scales," Educ. Psychol. Meas., vol.20, no.2, pp. 37-46, 1960.
    • (1960) Educ. Psychol. Meas. , vol.20 , Issue.2 , pp. 37-46
    • Cohen, J.1
  • 22
    • 0031238275 scopus 로고    scopus 로고
    • Application of majority voting to pattern recognition: An analysis of its behavior and performance
    • Sep.
    • L. Lam and C. Y. Suen, "Application of majority voting to pattern recognition: An analysis of its behavior and performance," IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol.27, no.5, pp. 553-568, Sep. 1997.
    • (1997) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.27 , Issue.5 , pp. 553-568
    • Lam, L.1    Suen, C.Y.2
  • 24
    • 0031171679 scopus 로고    scopus 로고
    • Optimal linear combinations of neural networks
    • S. Hashem, "Optimal linear combinations of neural networks," Neural Netw., vol.10, no.4, pp. 599-614, 1997.
    • (1997) Neural Netw. , vol.10 , Issue.4 , pp. 599-614
    • Hashem, S.1
  • 26
    • 0002516156 scopus 로고
    • Fuzzy measures and fuzzy integrals-A survey
    • Amsterdam, The Netherlands: North Holland
    • M. Sugeno, "Fuzzy measures and fuzzy integrals-A survey," in Fuzzy Automata Decision Processes. Amsterdam, The Netherlands: North Holland, 1977, pp. 89-102.
    • (1977) Fuzzy Automata Decision Processes , pp. 89-102
    • Sugeno, M.1
  • 27
    • 33751584745 scopus 로고    scopus 로고
    • The combining classifier: To train or not to train?
    • R. P. W. Duin, "The combining classifier: To train or not to train?," in Proc. 16th Int. Conf. Pattern Recognit., 2002, vol.2, pp. 765-770.
    • (2002) Proc. 16th Int. Conf. Pattern Recognit. , vol.2 , pp. 765-770
    • Duin, R.P.W.1
  • 28
    • 15744400992 scopus 로고    scopus 로고
    • Multi-classification techniques applied to EMG signal decomposition
    • SMC, The Hugue, The Netherland
    • S. Rasheed, D. Stashuk, and M. Kamel, "Multi-classification techniques applied to EMG signal decomposition," in Proc. 2004 IEEE Int. Conf. Syst., Man Cybern. (SMC 2004), The Hugue, The Netherland, vol.2, pp. 1226-1231.
    • (2004) Proc. 2004 IEEE Int. Conf. Syst., Man Cybern. , vol.2 , pp. 1226-1231
    • Rasheed, S.1    Stashuk, D.2    Kamel, M.3
  • 29
    • 0030020997 scopus 로고    scopus 로고
    • Resolving superimposed motor unit action potentials
    • H. Etawil and D. Stashuk, "Resolving superimposed motor unit action potentials," Med. Biol. Eng. Comput., vol.34, no.1, pp. 33-40, 1996.
    • (1996) Med. Biol. Eng. Comput. , vol.34 , Issue.1 , pp. 33-40
    • Etawil, H.1    Stashuk, D.2
  • 30
    • 0033079241 scopus 로고    scopus 로고
    • Choquet fuzzy integral-based hierarchical networks for decision analysis
    • Feb.
    • G.-H. Chiang, "Choquet fuzzy integral-based hierarchical networks for decision analysis," IEEE Trans. Fuzzy Syst., vol.7, no.1, pp. 63-71, Feb. 1999.
    • (1999) IEEE Trans. Fuzzy Syst. , vol.7 , Issue.1 , pp. 63-71
    • Chiang, G.-H.1
  • 32
    • 0030050384 scopus 로고    scopus 로고
    • Robust method for estimating motor unit firingpattern statistics
    • D.W. Stashuk and Y. Qu, "Robust method for estimating motor unit firingpattern statistics," Med. Biol. Eng. Comput., vol.34, no.1, pp. 50-57, 1996.
    • (1996) Med. Biol. Eng. Comput. , vol.34 , Issue.1 , pp. 50-57
    • Stashuk, D.W.1    Qu, Y.2
  • 33
  • 34
    • 0035116407 scopus 로고    scopus 로고
    • A model for the generation of synthetic intramuscular EMG signals to test decomposition algorithms
    • Jan.
    • D. Farina, A. Crosetti, and R. Merletti, "A model for the generation of synthetic intramuscular EMG signals to test decomposition algorithms," IEEE Trans. Biomed. Eng., vol.48, no.1, pp. 66-77, Jan. 2001.
    • (2001) IEEE Trans. Biomed. Eng. , vol.48 , Issue.1 , pp. 66-77
    • Farina, D.1    Crosetti, A.2    Merletti, R.3
  • 35
    • 0003128470 scopus 로고
    • Reflections onEMGsignal decomposition
    • J. E. Desmedt, Ed. Amesterdam, The Netherlands: Elsevier
    • C. J. De Luca, "Reflections onEMGsignal decomposition," in Computer-Aided Electromyography and Expert Systems, J. E. Desmedt, Ed. Amesterdam, The Netherlands: Elsevier, 1989, pp. 33-37.
    • (1989) Computer-Aided Electromyography and Expert Systems , pp. 33-37
    • De Luca, C.J.1
  • 37
    • 0020335520 scopus 로고
    • Digital low-pass differentiation for biological signal processing
    • Oct.
    • S. Usaui and I. Amidror, "Digital low-pass differentiation for biological signal processing," IEEE Trans. Biomed. Eng., vol.BME-29, no.10, pp. 686-693, Oct. 1982.
    • (1982) IEEE Trans. Biomed. Eng. , vol.BME-29 , Issue.10 , pp. 686-693
    • Usaui, S.1    Amidror, I.2
  • 38
    • 13244255261 scopus 로고    scopus 로고
    • Physiologically based simulation of clinical EMG signals
    • Feb.
    • A. Hamilton-Wright and D. W. Stashuk, "Physiologically based simulation of clinical EMG signals," IEEE Trans. Biomed. Eng., vol.52, no.2, pp. 171-183, Feb. 2005.
    • (2005) IEEE Trans. Biomed. Eng. , vol.52 , Issue.2 , pp. 171-183
    • Hamilton-Wright, A.1    Stashuk, D.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.