메뉴 건너뛰기




Volumn 24, Issue 2, 2003, Pages 309-319

Evaluation of the forearm EMG signal features for the control of a prosthetic hand

Author keywords

Artificial neural network (ANN); Auto regressive (AR); Cepstrum; Cumulant; Integral absolute value (IAV); Principal component analysis (PCA); Wavelet packet; Wavelet transform

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; ELECTROMYOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; WAVELET TRANSFORMS;

EID: 0037763048     PISSN: 09673334     EISSN: None     Source Type: Journal    
DOI: 10.1088/0967-3334/24/2/307     Document Type: Conference Paper
Times cited : (341)

References (23)
  • 2
    • 0038519526 scopus 로고
    • Principal component for classification of preshaping movement
    • Chang G, Kang W, Luh J and Cheng C 1994 Principal component for classification of preshaping movement IEEE, 17th Ann. Conf. pp 1019-25
    • (1994) IEEE 17th Ann. Conf. , pp. 1019-1025
    • Chang, G.1    Kang, W.2    Luh, J.3    Cheng, C.4
  • 3
    • 0037505513 scopus 로고    scopus 로고
    • Real time implementation of electromyogram pattern recognition as a control command of man-machine interface
    • Chang G C, Jan W, Junn J and Kung C 1996 Real time implementation of electromyogram pattern recognition as a control command of man-machine interface IEEE Conf. on Med. & Eng. Physics vol 18 pp 527-37
    • (1996) IEEE Conf. on Med. & Eng. Physics , vol.18 , pp. 527-537
    • Chang, G.C.1    Jan, W.2    Junn, J.3    Kung, C.4
  • 4
    • 0032961595 scopus 로고    scopus 로고
    • Unsupervised pattern recognition for the classification of EMG signals
    • Christodoulou C I and Pattichis C S 1999 Unsupervised pattern recognition for the classification of EMG signals IEEE Trans. Biomed. Eng. 46 169-78
    • (1999) IEEE Trans. Biomed. Eng. , vol.46 , pp. 169-178
    • Christodoulou, C.I.1    Pattichis, C.S.2
  • 9
    • 0016482611 scopus 로고
    • Functional separation of EMG signals via ARMA identification method for prosthesis control purpose
    • Graupe J and Cine K 1975 Functional separation of EMG signals via ARMA identification method for prosthesis control purpose IEEE Trans. Syst. Man Cybern. 5 252-9
    • (1975) IEEE Trans. Syst. Man Cybern. , vol.5 , pp. 252-259
    • Graupe, J.1    Cine, K.2
  • 10
    • 0021971558 scopus 로고
    • Stochastic analysis of electromyogram temporal signatures for multi functional signal-site activation of prostheses and orthoses
    • Graupe J, Salahi J and Zhang D 1985 Stochastic analysis of electromyogram temporal signatures for multi functional signal-site activation of prostheses and orthoses J. Biomed. Eng. 7 18-28
    • (1985) J. Biomed. Eng. , vol.7 , pp. 18-28
    • Graupe, J.1    Salahi, J.2    Zhang, D.3
  • 11
    • 0032394031 scopus 로고    scopus 로고
    • EMG pattern recognition based on artificial intelligent techniques
    • Hui S and Park I 1998 EMG pattern recognition based on artificial intelligent techniques IEEE Trans. Rehabil. Eng. 6 400-5
    • (1998) IEEE Trans. Rehabil. Eng. , vol.6 , pp. 400-405
    • Hui, S.1    Park, I.2
  • 12
    • 0037505517 scopus 로고
    • Using time frequency analysis technique in the classification of surface EMG signals
    • Jung G C, Shin J and Sankuo T 1994 Using time frequency analysis technique in the classification of surface EMG signals Proc. IEEE in Medicine and Biology
    • (1994) Proc. IEEE in Medicine and Biology
    • Jung, G.C.1    Shin, J.2    Sankuo, T.3
  • 13
    • 0029347476 scopus 로고
    • Real time implementation of cepstrum coefficient and maximum likelihood method in EMG pattern recognition
    • Kang W, Shiu J, Cheng C K and Shin J 1995 Real time implementation of cepstrum coefficient and maximum likelihood method in EMG pattern recognition IEEE Trans. Biomed. Eng. 42 777-85
    • (1995) IEEE Trans. Biomed. Eng. , vol.42 , pp. 777-785
    • Kang, W.1    Shiu, J.2    Cheng, C.K.3    Shin, J.4
  • 14
    • 0025405461 scopus 로고
    • Application of neural network to myoelectric signal analysis, preliminary study
    • Kelly M and Parker P 1990 Application of neural network to myoelectric signal analysis, preliminary study IEEE Trans. Biomed. Eng. 37 221-30
    • (1990) IEEE Trans. Biomed. Eng. , vol.37 , pp. 221-230
    • Kelly, M.1    Parker, P.2
  • 16
    • 0026187946 scopus 로고
    • Zero crossing of a wavelet transform
    • Mallat S 1991 Zero crossing of a wavelet transform IEEE Trans. Inf. Theory 37 1019-33
    • (1991) IEEE Trans. Inf. Theory , vol.37 , pp. 1019-1033
    • Mallat, S.1
  • 18
    • 0027675491 scopus 로고
    • Fatigue compensation of the electromyogram signal for prosthetic control and forced estimation
    • Park E and Meek S 1993 Fatigue compensation of the electromyogram signal for prosthetic control and forced estimation IEEE Trans. Biomed. Eng. 40 1019-23
    • (1993) IEEE Trans. Biomed. Eng. , vol.40 , pp. 1019-1023
    • Park, E.1    Meek, S.2
  • 19
    • 0023906162 scopus 로고
    • The electromyogram signal as measure for muscular force: A comparison of detection and quantification techniques
    • Philipson L and Larsson P G 1988 The electromyogram signal as measure for muscular force: a comparison of detection and quantification techniques J. Electromyogram. Clin. Neurophysiol. 28 141-50
    • (1988) J. Electromyogram. Clin. Neurophysiol. , vol.28 , pp. 141-150
    • Philipson, L.1    Larsson, P.G.2
  • 20
    • 0038519525 scopus 로고
    • EMG pattern analysis and classification for a prosthetic ARMA
    • Saridis G and Gootec T 1983 EMG pattern analysis and classification for a prosthetic ARMA IEEE Trans. Biomed. Eng. 30 18-29
    • (1983) IEEE Trans. Biomed. Eng. , vol.30 , pp. 18-29
    • Saridis, G.1    Gootec, T.2
  • 21
    • 0033313406 scopus 로고    scopus 로고
    • Self-organizing maps for time series analysis of electromyographic data
    • Tucker C A and Liu X 1999 Self-organizing maps for time series analysis of electromyographic data IEEE Neural Netw. 5 3577-80
    • (1999) IEEE Neural Netw. , vol.5 , pp. 3577-3580
    • Tucker, C.A.1    Liu, X.2
  • 22
    • 0038519473 scopus 로고    scopus 로고
    • Classification of time-frequency atoms
    • Wellig P and Moschytz G S 1999 Classification of time-frequency atoms IEEE Conf. p 953
    • (1999) IEEE Conf. , pp. 953
    • Wellig, P.1    Moschytz, G.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.