메뉴 건너뛰기




Volumn 7, Issue 1, 2010, Pages

Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AMPUTATION; ANALYSIS OF VARIANCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER INTERFACE; ELECTRODE; ELECTROMYOGRAPHY; FEMALE; FINGER; FOREARM; FRACTAL ANALYSIS; HISTOLOGY; HUMAN; INNERVATION; MALE; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SENSATION; SKELETAL MUSCLE; WRIST;

EID: 78649970208     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-7-53     Document Type: Article
Times cited : (88)

References (41)
  • 3
    • 0027165327 scopus 로고
    • Surface electromyogram during voluntary contraction: Processing tools and relation to physiological events
    • 8243094
    • Surface electromyogram during voluntary contraction: processing tools and relation to physiological events. J Duchene G Francis, Critical Reviews in Biomedical Engineering 1993 21 313 397 8243094
    • (1993) Critical Reviews in Biomedical Engineering , vol.21 , pp. 313-397
    • Duchene, J.1    Francis, G.2
  • 4
    • 24044448632 scopus 로고    scopus 로고
    • Classification of surface EMG signal with fractal dimension
    • DOI 10.1631/jzus.2005.B0844
    • Classification of surface EMG signal with Fractal dimension. X Hu Z Wang X Ren, Journal of Zhejiang University Science 2005 6B 8 844 848 10.1631/jzus.2005.B0844 (Pubitemid 41319101)
    • (2005) Journal of Zhejiang University: Science , vol.6 B , Issue.8 , pp. 844-848
    • Hu, X.1    Wang, Z.-Z.2    Ren, X.-M.3
  • 5
    • 37249058368 scopus 로고    scopus 로고
    • Real-time classification of forearm electromyographic signals corresponding to user-selected intentional movements for multifunction prosthesis control
    • DOI 10.1109/TNSRE.2007.908376
    • Real time classification of forearm electromyographic signals corresponding to user-selected intentional movements for multifunction prosthesis control. K Momen S Krishnan T Chau, IEEE Trans. Neural Systems and Rehabilitation Engineering 2007 15 4 535 542 10.1109/TNSRE.2007.908376 (Pubitemid 350274175)
    • (2007) IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol.15 , Issue.4 , pp. 535-542
    • Momen, K.1    Krishnan, S.2    Chau, T.3
  • 6
    • 0034283513 scopus 로고    scopus 로고
    • Fuzzy EMG Classification for prosthesis control
    • 10.1109/86.867872
    • Fuzzy EMG Classification for prosthesis control. FHY Chan YS Yang FK Lam PA Parker, IEEE Trans Rehab Engg 2000 8 3 305 312 10.1109/86.867872
    • (2000) IEEE Trans Rehab Engg , vol.8 , Issue.3 , pp. 305-312
    • Chan, F.H.Y.1    Yang, Y.S.2    Lam, F.K.3    Parker, P.A.4
  • 8
    • 1642588281 scopus 로고    scopus 로고
    • The MANUS-HAND dextrous robotics upper limb prosthesis: Mechanical and manipulation aspects
    • 10.1023/B:AURO.0000016862.38337.f1
    • The MANUS-HAND dextrous robotics upper limb prosthesis: mechanical and manipulation aspects. JL Pons E Rocon R Ceres D Reynaerts B Saro S Levin W Van Moorleghem, Autonomous Robots 2004 16 143 163 10.1023/B:AURO.0000016862.38337.f1
    • (2004) Autonomous Robots , vol.16 , pp. 143-163
    • Pons, J.L.1    Rocon, E.2    Ceres, R.3    Reynaerts, D.4    Saro, B.5    Levin, S.6    Van Moorleghem, W.7
  • 9
    • 47649094596 scopus 로고    scopus 로고
    • Support vector machine-based classification scheme for myoelectric control applied to upper limb
    • 10.1109/TBME.2008.919734. 18632358
    • Support vector machine-based classification scheme for myoelectric control applied to upper limb. MA Oskoei H Hu, IEEE transactions on biomedical engineering 2008 55 8 1956 1965 10.1109/TBME.2008.919734 18632358
    • (2008) IEEE Transactions on Biomedical Engineering , vol.55 , Issue.8 , pp. 1956-1965
    • Oskoei, M.A.1    Hu, H.2
  • 11
    • 3843151427 scopus 로고    scopus 로고
    • MUAP number estimates in surface EMG: Template - Matching methods and their performance boundaries
    • 10.1023/B:ABME.0000032463.26331.b3. 15298438
    • MUAP number estimates in surface EMG: template - matching methods and their performance boundaries. P Zhou WZ Rymer, Annals of Biomedical Engineering 2004 32 1007 1015 10.1023/B:ABME.0000032463.26331.b3 15298438
    • (2004) Annals of Biomedical Engineering , vol.32 , pp. 1007-1015
    • Zhou, P.1    Rymer, W.Z.2
  • 12
    • 33745443674 scopus 로고    scopus 로고
    • MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition
    • 10.1007/s11517-006-0051-3. 16937179
    • MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition. X Ren X Hu Z Wang Z Yan, Medical and Biological Engineering and Computing 2006 44 371 382 10.1007/s11517-006-0051-3 16937179
    • (2006) Medical and Biological Engineering and Computing , vol.44 , pp. 371-382
    • Ren, X.1    Hu, X.2    Wang, Z.3    Yan, Z.4
  • 14
    • 0034766871 scopus 로고    scopus 로고
    • Classification of dynamic multi-channel Electromyography by Neural Network
    • 11721295
    • Classification of dynamic multi-channel Electromyography by Neural Network. DK Kumar N Ma P Burton, Electromyogr Clin Neurophysiol 2001 41 7 401 408 11721295
    • (2001) Electromyogr Clin Neurophysiol , vol.41 , Issue.7 , pp. 401-408
    • Kumar, D.K.1    Ma, N.2    Burton, P.3
  • 17
    • 77951094844 scopus 로고    scopus 로고
    • Methodological aspects of SEMG recordings for force estimation - A tutorial and review
    • 10.1016/j.jelekin.2009.08.005. 19758823
    • Methodological aspects of SEMG recordings for force estimation - A tutorial and review. D Staudenmann K Roeleveld DF Stegeman JH van Dieen, Journal of Electromyography and Kinesiology 2010 20 3 375 387 10.1016/j.jelekin.2009. 08.005 19758823
    • (2010) Journal of Electromyography and Kinesiology , vol.20 , Issue.3 , pp. 375-387
    • Staudenmann, D.1    Roeleveld, K.2    Stegeman, D.F.3    Van Dieen, J.H.4
  • 18
    • 0032961595 scopus 로고    scopus 로고
    • Unsupervised pattern recognition for the classification of EMG signals
    • 10.1109/10.740879. 9932338
    • Unsupervised pattern recognition for the classification of EMG signals. CI Christodoulou CS Pattichis, IEEE Transactions on Biomedical Engineering 1999 46 2 169 178 10.1109/10.740879 9932338
    • (1999) IEEE Transactions on Biomedical Engineering , vol.46 , Issue.2 , pp. 169-178
    • Christodoulou, C.I.1    Pattichis, C.S.2
  • 19
    • 33748148249 scopus 로고    scopus 로고
    • Time-frequency Analysis of Myoelectric Signals during Dynamic Contractions: A Comparative Study
    • 10.1109/10.821766. 10721630
    • Time-Frequency Analysis of Myoelectric Signals during Dynamic Contractions: A Comparative Study. S Karlsson J Yu M Akay, IEEE transactions on Biomedical Engineering 2000 47 2 228 238 10.1109/10.821766 10721630
    • (2000) IEEE Transactions on Biomedical Engineering , vol.47 , Issue.2 , pp. 228-238
    • Karlsson, S.1    Yu, J.2    Akay, M.3
  • 21
    • 0035028021 scopus 로고    scopus 로고
    • EMG signal decomposition: How can it be accomplished and used?
    • 10.1016/S1050-6411(00)00050-X. 11335147
    • EMG signal decomposition: how can it be accomplished and used? D Stashuk, Journal of Electromyography and Kinesiology 2001 11 151 173 10.1016/S1050-6411(00)00050-X 11335147
    • (2001) Journal of Electromyography and Kinesiology , vol.11 , pp. 151-173
    • Stashuk, D.1
  • 22
    • 0006793668 scopus 로고    scopus 로고
    • Phase Space Analysis of EMG
    • Phase Space Analysis of EMG. Z Yang G Zhao, ACTA BIOPHYSICA SINICA 1998 14 2 210 214
    • (1998) Acta Biophysica Sinica , vol.14 , Issue.2 , pp. 210-214
    • Yang, Z.1    Zhao, G.2
  • 23
    • 2942564121 scopus 로고    scopus 로고
    • A new method for the extraction and classification of single motor unit action potentials from surface EMG signals
    • 10.1016/j.jneumeth.2004.01.002. 15183268
    • A new method for the extraction and classification of single motor unit action potentials from surface EMG signals. M Gazzoni D Farina R Merletti, J Neurosci Methods 2004 136 165 77 10.1016/j.jneumeth.2004.01.002 15183268
    • (2004) J Neurosci Methods , vol.136 , pp. 165-77
    • Gazzoni, M.1    Farina, D.2    Merletti, R.3
  • 24
    • 0028074586 scopus 로고
    • Fractal dimension of EMG signals recorded with surface electrodes during isometric contractions is linearly correlated with muscle activation
    • Fractal dimension of EMG signals recorded with surface electrodes during isometric contractions is linearly correlated with muscle activation. CJ Anmuth G Goldberg NH Mayer, Muscle & Nerve 1994 17 953 954
    • (1994) Muscle & Nerve , vol.17 , pp. 953-954
    • Anmuth, C.J.1    Goldberg, G.2    Mayer, N.H.3
  • 26
    • 0029047883 scopus 로고
    • Fractal analysis of electromyographic interference pattern
    • 10.1016/0165-0270(94)00164-C. 7475215
    • Fractal analysis of electromyographic interference pattern. JA Gitter MJ Czerniecki, Journal of Neuroscience Methods 1995 58 103 108 10.1016/0165- 0270(94)00164-C 7475215
    • (1995) Journal of Neuroscience Methods , vol.58 , pp. 103-108
    • Gitter, J.A.1    Czerniecki, M.J.2
  • 27
  • 31
    • 20444408008 scopus 로고    scopus 로고
    • Analysis of cardiac health using fractal dimension and wavelet transformation
    • DOI 10.1016/j.rbmret.2005.02.001, PII S1297956205000227
    • Analysis of cardiac health using fractal dimension and wavelet transformation. RU Acharya PS Bhat N Kannathal A Rao CM Lim, ITBM-RBM 2005 26 133 139 10.1016/j.rbmret.2005.02.001 (Pubitemid 40800332)
    • (2005) ITBM-RBM , vol.26 , Issue.2 , pp. 133-139
    • Acharya, U.R.1    Bhat, P.S.2    Kannathal, N.3    Rao, A.4    Choo, M.L.5
  • 36
    • 0033813270 scopus 로고    scopus 로고
    • Development of recommendations for SEMG sensors and sensor placement procedures
    • 10.1016/S1050-6411(00)00027-4. 11018445
    • Development of recommendations for SEMG sensors and sensor placement procedures. HJ Hermens B Freriks C Disselhorst-Klug G Rau, Journal of Electromyography and Kinesiology 2000 10 361 374 10.1016/S1050-6411(00)00027-4 11018445
    • (2000) Journal of Electromyography and Kinesiology , vol.10 , pp. 361-374
    • Hermens, H.J.1    Freriks, B.2    Disselhorst-Klug, C.3    Rau, G.4
  • 38
    • 45549113571 scopus 로고
    • Approach to irregular time series on the basis of the fractal theory
    • 10.1016/0167-2789(88)90081-4
    • Approach to irregular time series on the basis of the fractal theory. T Higuchi, Physica D 1988 31 277 283 10.1016/0167-2789(88)90081-4
    • (1988) Physica D , vol.31 , pp. 277-283
    • Higuchi, T.1
  • 39
    • 84975613293 scopus 로고
    • Estimating fractal dimension
    • 10.1364/JOSAA.7.001055
    • Estimating fractal dimension. J Theiler, Journal of the Optical Society of America A 1990 7 6 1055 1073 10.1364/JOSAA.7.001055
    • (1990) Journal of the Optical Society of America A , vol.7 , Issue.6 , pp. 1055-1073
    • Theiler, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.