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Volumn , Issue , 2006, Pages 1704-1707

Extracting effective features of SEMG using continuous wavelet transform

(2)  Kilby, J b   Hosseini, H Gholam a  

b NONE

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; FEATURE EXTRACTION; NEURAL NETWORKS; SPECTRUM ANALYSIS; WAVELET TRANSFORMS;

EID: 34047183795     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260064     Document Type: Conference Paper
Times cited : (29)

References (12)
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  • 2
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    • Sparto, P.J.1    Jagadeesh, J.M.2    Parnianpour, M.3
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    • Wavelet Transforms as a Potential Tool for ECG Analysis and Compression
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    • H. J. Hermens, B. Freriks, C. Disselhorst-Klug, and G. Rau, "Development of recommendations for SEMG sensor and sensor placement procedures," J Electromyogr Kinesiol, vol. 10, pp. 361-374, 2000.
    • (2000) J Electromyogr Kinesiol , vol.10 , pp. 361-374
    • Hermens, H.J.1    Freriks, B.2    Disselhorst-Klug, C.3    Rau, G.4
  • 7
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    • Mertins, A.1
  • 8
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    • Validation of the wavelet spectral estimation technique in Biceps Brachii and Brachioradialis fatigue assessment during prolongedd low-level static and dynamic contractions
    • I. Hostens, J. Seghers, A. Spaepen, and H. Ramon, "Validation of the wavelet spectral estimation technique in Biceps Brachii and Brachioradialis fatigue assessment during prolongedd low-level static and dynamic contractions," Journal of Electromyography and Kinesiology, vol. 14, pp. 205-215, 2004.
    • (2004) Journal of Electromyography and Kinesiology , vol.14 , pp. 205-215
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.