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Volumn 41, Issue 2, 2007, Pages

Improving method for surface electromyography denoising based on wavelet transform

Author keywords

Electromyography signal; Pattern recognition; Threshold; Wavelet transform

Indexed keywords

PATTERN RECOGNITION; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

EID: 34247253840     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (12)
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    • Chinese source
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    • Multifunctional prosthesis and orthosis control via microcomputer identification of temporal pattern differences in single-site myoelectric signals
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    • EMG classification for prehensile postures using cascaded architecture of neural networks with self-organizing maps
    • Taipei: IEEE
    • HUANG H P, LIU Y H, LIU L W, et al. EMG classification for prehensile postures using cascaded architecture of neural networks with self-organizing maps[C]//IEEE International Conference on Robotics and Automation. Taipei: IEEE, 2003: 1497-1502.
    • (2003) IEEE International Conference on Robotics and Automation , pp. 1497-1502
    • Huang, H.P.1    Liu, Y.H.2    Liu, L.W.3
  • 9
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    • Power spectrum analysis of the EMG pattern in normal and diseased muscles
    • RONAGER J. CHRISTENSEN H. Power spectrum analysis of the EMG pattern in normal and diseased muscles[J]. Neural Science, 1989, 94(1-3): 283-294.
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  • 10
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    • Multi-scale analysis based on wavelet transform in bridge health monitoring
    • GUO Jian, SUN Bing-nan. Multi-scale analysis based on wavelet transform in bridge health monitoring[J]. Journal of Zhejiang University: Engineering Science, 2005, 39(1): 114-118.
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    • Data analytic wavelet threshold selection in 2-D signal denoising
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    • Hilton, L.1    Ogden, T.2
  • 12
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    • Study of tactile sensor in bionical artificial hand
    • LUO Zhi-zeng, WANG Ren-cheng. Study of tactile sensor in bionical artificial hand[J]. Chinese Journal of Sensors and Actuators, 2003, 16(3): 233-237.
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    • Luo, Z.-Z.1    Wang, R.-C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.