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Volumn , Issue , 2013, Pages 5926-5929

Real-time implementation of a self-recovery EMG pattern recognition interface for artificial arms

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; EMG PATTERN CLASSIFICATION; EMG PATTERN RECOGNITION; EXPERIMENTAL EVALUATION; INTENT RECOGNITION; PROSTHESIS CONTROL; REAL-TIME IMPLEMENTATIONS; SIGNAL DISTURBANCES;

EID: 84886573726     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610901     Document Type: Conference Paper
Times cited : (22)

References (11)
  • 1
    • 0042664129 scopus 로고    scopus 로고
    • A robust, real-time control scheme for multifunction myoelectric control
    • Englehart, K. and Hudgins, B., A robust, real-time control scheme for multifunction myoelectric control. Biomedical Engineering, IEEE Transactions on, 2003. 50(7): p. 848-854.
    • (2003) Biomedical Engineering, IEEE Transactions on , vol.50 , Issue.7 , pp. 848-854
    • Englehart, K.1    Hudgins, B.2
  • 2
    • 60549118041 scopus 로고    scopus 로고
    • A strategy for identifying locomotion modes using surface electromyography
    • Huang, H., Kuiken, T.A., and Lipschutz, R.D., A strategy for identifying locomotion modes using surface electromyography. IEEE Trans Biomed Eng, 2009. 56(1): p. 65-73.
    • (2009) IEEE Trans Biomed Eng , vol.56 , Issue.1 , pp. 65-73
    • Huang, H.1    Kuiken, T.A.2    Lipschutz, R.D.3
  • 3
    • 84863552528 scopus 로고    scopus 로고
    • Implementing an fpga system for real-time intent recognition for prosthetic legs
    • San Fransico, CA
    • Zhang, X., Huang, H., and Yang, Q., Implementing an FPGA System for Real-Time Intent Recognition for Prosthetic Legs, in Design Automation Conference. 2012: San Fransico, CA. p. 169-75.
    • (2012) Design Automation Conference , pp. 169-175
    • Zhang, X.1    Huang, H.2    Yang, Q.3
  • 5
    • 67650825202 scopus 로고    scopus 로고
    • Adaptive pattern recognition of myoelectric signals: Exploration of conceptual framework and practical algorithms
    • Sensinger, J.W., Lock, B.A., and Kuiken, T.A., Adaptive pattern recognition of myoelectric signals: exploration of conceptual framework and practical algorithms. Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 2009. 17(3): p. 270-278.
    • (2009) Neural Systems and Rehabilitation Engineering, IEEE Transactions on , vol.17 , Issue.3 , pp. 270-278
    • Sensinger, J.W.1    Lock, B.A.2    Kuiken, T.A.3
  • 6
    • 77952443226 scopus 로고    scopus 로고
    • Study of stability of time-domain features for electromyographic pattern recognition
    • Tkach, D., Huang, H., and Kuiken, T.A., Study of stability of time-domain features for electromyographic pattern recognition. J Neuroeng Rehabil, 2010. 7: p. 21.
    • (2010) J Neuroeng Rehabil , vol.7 , pp. 21
    • Tkach, D.1    Huang, H.2    Kuiken, T.A.3
  • 7
    • 41149111431 scopus 로고    scopus 로고
    • A training strategy to reduce classification degradation due to electrode displacements in pattern recognition based myoelectric control
    • Hargrove, L., Englehart, K., and Hudgins, B., A training strategy to reduce classification degradation due to electrode displacements in pattern recognition based myoelectric control. Biomedical Signal Processing and Control, 2008. 3(2): p. 175-180.
    • (2008) Biomedical Signal Processing and Control , vol.3 , Issue.2 , pp. 175-180
    • Hargrove, L.1    Englehart, K.2    Hudgins, B.3
  • 8
    • 78649312290 scopus 로고    scopus 로고
    • Design of a robust emg sensing interface for pattern classification
    • Huang, H., Zhang, F., Sun, Y.L., and He, H., Design of a robust EMG sensing interface for pattern classification. J Neural Eng, 2010. 7(5): p. 056005.
    • (2010) J Neural Eng , vol.7 , Issue.5 , pp. 056005
    • Huang, H.1    Zhang, F.2    Sun, Y.L.3    He, H.4
  • 9
    • 84861660466 scopus 로고    scopus 로고
    • Trust sensor interface for improving reliability of emg-based user intent recognition
    • Boston, MA
    • Liu, Y., Zhang, F., Sun, Y., and Huang, H. Trust sensor interface for improving reliability of EMG-based user intent recognition. in 33rd EMBC 2011, Boston, MA.
    • (2011) 33rd EMBC
    • Liu, Y.1    Zhang, F.2    Sun, Y.3    Huang, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.