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Volumn 7, Issue 3, 2012, Pages 265-269

Multi-scale AM-FM analysis for the classification of surface electromyographic signals

Author keywords

AM FM; Classification; SEMG

Indexed keywords

AMPLITUDE MODULATION; CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING; FREQUENCY MODULATION; NEAREST NEIGHBOR SEARCH; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES;

EID: 84860228620     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2012.01.001     Document Type: Conference Paper
Times cited : (19)

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  • 9
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    • Comparison of AM-FM features with standard features for the classification of surface electromyographic signals
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    • C.I. Christodoulou, P.A. Kaplanis, V. Murray, M.S. Pattichis, and C.S. Pattichis Comparison of AM-FM features with standard features for the classification of surface electromyographic signals N. Pallikarakis, P.D. Bamidis, R. Majarevic, Proceedings of MEDICON 2010, IFMBE Proceedings vol. 29 2010 69 72
    • (2010) Proceedings of MEDICON 2010, IFMBE Proceedings , vol.29 , pp. 69-72
    • Christodoulou, C.I.1    Kaplanis, P.A.2    Murray, V.3    Pattichis, M.S.4    Pattichis, C.S.5
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    • Multiscale AM-FM demodulation and reconstruction methods with improved accuracy
    • May
    • V. Murray, P. Rodriguez, and M.S. Pattichis Multiscale AM-FM demodulation and reconstruction methods with improved accuracy IEEE Transactions on Image Processing 19 May (5) 2010 1138 1152
    • (2010) IEEE Transactions on Image Processing , vol.19 , Issue.5 , pp. 1138-1152
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  • 12
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    • The self-organizing map
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.