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Volumn 10, Issue , 2011, Pages

A preliminary investigation assessing the viability of classifying hand postures in seniors

Author keywords

[No Author keywords available]

Indexed keywords

ASSISTIVE DEVICES; AUTOREGRESSIVE MODEL COEFFICIENTS; CLASSIFICATION ACCURACY; DOMESTIC ENVIRONMENTS; EXTRACTING FEATURES; FEATURE VECTORS; FLEXOR CARPI ULNARIS; HAND GESTURE; HAND POSTURE; MULTI-CLASS SUPPORT VECTOR MACHINES; OLDER PEOPLE; PHYSICAL CHANGES; ROOT MEAN SQUARE; SURFACE ELECTROMYOGRAPHY; UPPER EXTREMITY; WAVE FORMS;

EID: 80052573472     PISSN: 1475925X     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-10-79     Document Type: Article
Times cited : (21)

References (53)
  • 3
    • 33645224070 scopus 로고    scopus 로고
    • Techniques of EMG signal analysis: detection, processing, classification and applications
    • Reaz MBI, Hussain MS, Yasin FM. Techniques of EMG signal analysis: detection, processing, classification and applications. Biological Proceedings Online 2006, 8:11-35.
    • (2006) Biological Proceedings Online , vol.8 , pp. 11-35
    • Reaz, M.B.I.1    Hussain, M.S.2    Yasin, F.M.3
  • 4
    • 70350389629 scopus 로고    scopus 로고
    • The SmartHand project
    • The SmartHand project. 2007, http://www.elmat.lth.se/~smarthand
    • (2007)
  • 5
    • 60649106038 scopus 로고    scopus 로고
    • The CyberHand project
    • The CyberHand project. 2007, http://www.cyberhand.org
    • (2007)
  • 6
    • 77956515367 scopus 로고    scopus 로고
    • Otto Bock SensorHand hand prothesis
    • Otto Bock SensorHand hand prothesis. 2010, http://www.ottobock.com/cps/rde/xchg/ob_com_en/hs.xsl/3652.html
    • (2010)
  • 7
    • 77956536191 scopus 로고    scopus 로고
    • The iLimb prosthetic hand
    • The iLimb prosthetic hand. 2007, http://www.touchbionics.com
    • (2007)
  • 10
    • 0028904230 scopus 로고
    • EMG activation patterns during force production in precision grip. 1. Contribution of 15 finger muscles to isometric force
    • 10.1007/BF00241969, 7615027
    • Maier MA, Raymond MCH. EMG activation patterns during force production in precision grip. 1. Contribution of 15 finger muscles to isometric force. Exp Brain Res 1995, 103:108-122. 10.1007/BF00241969, 7615027.
    • (1995) Exp Brain Res , vol.103 , pp. 108-122
    • Maier, M.A.1    Raymond, M.C.H.2
  • 11
    • 0031665557 scopus 로고    scopus 로고
    • Large index-fingertip forces are produced by subject independent patterns of muscle excitation
    • Cuevas FJV, Zajac FE, Burgar CG. Large index-fingertip forces are produced by subject independent patterns of muscle excitation. J Biomechanics 1998, 31:693-703.
    • (1998) J Biomechanics , vol.31 , pp. 693-703
    • Cuevas, F.J.V.1    Zajac, F.E.2    Burgar, C.G.3
  • 12
    • 0034114822 scopus 로고    scopus 로고
    • Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range
    • Cuevas FJV. Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range. J Neurophysiology 2000, 83:1469-1479.
    • (2000) J Neurophysiology , vol.83 , pp. 1469-1479
    • Cuevas, F.J.V.1
  • 13
    • 33750515036 scopus 로고    scopus 로고
    • Myoelectric Signal Processing for Control of Powered Limb Prostheses
    • 10.1016/j.jelekin.2006.08.006, 17045489
    • Parker P, Englehart K, Hudgins B. Myoelectric Signal Processing for Control of Powered Limb Prostheses. Journal of Electromyography and Kinesiology 2006, 16:541-548. 10.1016/j.jelekin.2006.08.006, 17045489.
    • (2006) Journal of Electromyography and Kinesiology , vol.16 , pp. 541-548
    • Parker, P.1    Englehart, K.2    Hudgins, B.3
  • 15
    • 34347393890 scopus 로고    scopus 로고
    • A supervised feature-projection-based real-time EMG pattern recognition for multifunction myoelectric hand control
    • Chu JU, Moon I, Lee YJ, Kim SK, Mun MS. A supervised feature-projection-based real-time EMG pattern recognition for multifunction myoelectric hand control. IEEE/ASME Transactions on Mechatronics 2007, 12:282-290.
    • (2007) IEEE/ASME Transactions on Mechatronics , vol.12 , pp. 282-290
    • Chu, J.U.1    Moon, I.2    Lee, Y.J.3    Kim, S.K.4    Mun, M.S.5
  • 16
    • 0032727526 scopus 로고    scopus 로고
    • Classification of the myoelectric signal using time-frequency based representations
    • 10.1016/S1350-4533(99)00066-1, 21906045
    • Englehart K, Hudgins B, Parker PA, Stevenson M. Classification of the myoelectric signal using time-frequency based representations. Medical Eng & Physics 1999, 21:431-438. 10.1016/S1350-4533(99)00066-1, 21906045.
    • (1999) Medical Eng & Physics , vol.21 , pp. 431-438
    • Englehart, K.1    Hudgins, B.2    Parker, P.A.3    Stevenson, M.4
  • 19
    • 34347378883 scopus 로고    scopus 로고
    • Recognition of electromyographic signals using cascaded kernel learning machine
    • Liu YH, Huang HP, Weng CH. Recognition of electromyographic signals using cascaded kernel learning machine. IEEE/ASME Trans Mechatronics 2007, 12:253-264.
    • (2007) IEEE/ASME Trans Mechatronics , vol.12 , pp. 253-264
    • Liu, Y.H.1    Huang, H.P.2    Weng, C.H.3
  • 21
    • 11244296094 scopus 로고    scopus 로고
    • Continuous myoelectric control for powered prosthesis using hidden markov models
    • 10.1109/TBME.2004.836492, 15651571
    • Chan ADC, Englehart KB. Continuous myoelectric control for powered prosthesis using hidden markov models. IEEE Trans Biomed Eng 2005, 52:121-124. 10.1109/TBME.2004.836492, 15651571.
    • (2005) IEEE Trans Biomed Eng , vol.52 , pp. 121-124
    • Chan, A.D.C.1    Englehart, K.B.2
  • 22
    • 0041928181 scopus 로고    scopus 로고
    • The development of a virtual myoelectric prosthesis controlled by an EMG pattern recognition system based on neural networks
    • Soares A, Andrade A, Lamounier E, Carrijo R. The development of a virtual myoelectric prosthesis controlled by an EMG pattern recognition system based on neural networks. Journal of Intelligent Information Systems 2003, 21:127-141.
    • (2003) Journal of Intelligent Information Systems , vol.21 , pp. 127-141
    • Soares, A.1    Andrade, A.2    Lamounier, E.3    Carrijo, R.4
  • 23
    • 0035088706 scopus 로고    scopus 로고
    • A wavelet-based continuous classification scheme for multifunction myoelectric control
    • 10.1109/10.914793, 11327498
    • Englehart K, Hudgins B, Parker P. A wavelet-based continuous classification scheme for multifunction myoelectric control. IEEE Trans Biomed Eng 2001, 48:302-311. 10.1109/10.914793, 11327498.
    • (2001) IEEE Trans Biomed Eng , vol.48 , pp. 302-311
    • Englehart, K.1    Hudgins, B.2    Parker, P.3
  • 24
    • 0242363805 scopus 로고    scopus 로고
    • A fuzzy clustering neural network architecture for multifunction upper-limb prosthesis
    • 10.1109/TBME.2003.818469, 14619995
    • Karlik B, Tokhi MO, Alci M. A fuzzy clustering neural network architecture for multifunction upper-limb prosthesis. IEEE Transactions on Biomedical Engineering 2003, 50:1255-1261. 10.1109/TBME.2003.818469, 14619995.
    • (2003) IEEE Transactions on Biomedical Engineering , vol.50 , pp. 1255-1261
    • Karlik, B.1    Tokhi, M.O.2    Alci, M.3
  • 26
    • 0032394031 scopus 로고    scopus 로고
    • EMG pattern recognition based on artificial intelligence techniques
    • Park SH, Lee SP. EMG pattern recognition based on artificial intelligence techniques. IEEE Trans on Rehab Eng 1998, 6:400-405.
    • (1998) IEEE Trans on Rehab Eng , vol.6 , pp. 400-405
    • Park, S.H.1    Lee, S.P.2
  • 27
    • 38949190680 scopus 로고    scopus 로고
    • Real-time intelligent pattern recognition algorithm for surface EMG signals
    • 10.1186/1475-925X-6-45, 2222669, 18053184
    • Khezri M, Jahed M. Real-time intelligent pattern recognition algorithm for surface EMG signals. Biomedical Engineering Online 2007, 6:45. 10.1186/1475-925X-6-45, 2222669, 18053184.
    • (2007) Biomedical Engineering Online , vol.6 , pp. 45
    • Khezri, M.1    Jahed, M.2
  • 29
    • 67650825216 scopus 로고    scopus 로고
    • Conjugate-prior-penalized learning of Gaussian mixture models for multifunction myoelectric hand control
    • Chu JU, Lee YJ. Conjugate-prior-penalized learning of Gaussian mixture models for multifunction myoelectric hand control. IEEE Trans Neural Sys and Rehab Eng 2009, 17:287-297.
    • (2009) IEEE Trans Neural Sys and Rehab Eng , vol.17 , pp. 287-297
    • Chu, J.U.1    Lee, Y.J.2
  • 30
    • 0042664129 scopus 로고    scopus 로고
    • A robust, real-time control scheme for multifunction myoelectric control
    • 10.1109/TBME.2003.813539, 12848352
    • Englehart K, Hudgins B. A robust, real-time control scheme for multifunction myoelectric control. IEEE Trans Biomed Eng 2003, 50:848-854. 10.1109/TBME.2003.813539, 12848352.
    • (2003) IEEE Trans Biomed Eng , vol.50 , pp. 848-854
    • Englehart, K.1    Hudgins, B.2
  • 31
    • 33750334730 scopus 로고    scopus 로고
    • A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand
    • 10.1109/TBME.2006.883695, 17073328
    • Chu JU, Moon I, Mun MS. A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand. IEEE Trans Biomed Eng 2006, 53:2232-2239. 10.1109/TBME.2006.883695, 17073328.
    • (2006) IEEE Trans Biomed Eng , vol.53 , pp. 2232-2239
    • Chu, J.U.1    Moon, I.2    Mun, M.S.3
  • 32
  • 33
    • 84876496513 scopus 로고    scopus 로고
    • SENIAM Project
    • SENIAM Project. , http://www.seniam.org
  • 34
    • 77956524672 scopus 로고    scopus 로고
    • Pictorial guide to muscles and surface anatomy
    • Lippincott Williams & Wilkins, Pease WS, Lew HL, Johnson EW, 4
    • Lew HL, TSAI SJ. Pictorial guide to muscles and surface anatomy. Johnson's practical electromyography 2007, 145-212. Lippincott Williams & Wilkins, Pease WS, Lew HL, Johnson EW, 4.
    • (2007) Johnson's practical electromyography , pp. 145-212
    • Lew, H.L.1    TSAI, S.J.2
  • 36
    • 0032823553 scopus 로고    scopus 로고
    • Musculoskeletal overexertion injuries in the United States: mitigating the problem through ergonomics and engineering interventions
    • Mital A, Pennathur A. Musculoskeletal overexertion injuries in the United States: mitigating the problem through ergonomics and engineering interventions. Journal of Occupational Rehabilitation 1999, 9:115-149.
    • (1999) Journal of Occupational Rehabilitation , vol.9 , pp. 115-149
    • Mital, A.1    Pennathur, A.2
  • 37
    • 0027135489 scopus 로고
    • A new strategy for multifunction myoelectric control
    • 10.1109/10.204774, 8468080
    • Hudgins B, Parker P, Scott RN. A new strategy for multifunction myoelectric control. IEEE Trans Biomed Eng 1993, 40:82-94. 10.1109/10.204774, 8468080.
    • (1993) IEEE Trans Biomed Eng , vol.40 , pp. 82-94
    • Hudgins, B.1    Parker, P.2    Scott, R.N.3
  • 40
    • 0002660750 scopus 로고    scopus 로고
    • The support vector method of function estimation
    • Kluwer academic publishers, Boston, Sukens JAK, Vandewalle J
    • Vapnik V. The support vector method of function estimation. Nonlinear modelling: Advanced black-box techniques 1998, 55-85. Kluwer academic publishers, Boston, Sukens JAK, Vandewalle J.
    • (1998) Nonlinear modelling: Advanced black-box techniques , pp. 55-85
    • Vapnik, V.1
  • 41
    • 63449142028 scopus 로고    scopus 로고
    • Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings
    • Khandoker AH, Palaniswami M, Karmakar CK. Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings. IEEE Trans Inf Tech Biomedicine 2009, 13:37-48.
    • (2009) IEEE Trans Inf Tech Biomedicine , vol.13 , pp. 37-48
    • Khandoker, A.H.1    Palaniswami, M.2    Karmakar, C.K.3
  • 42
    • 34047114775 scopus 로고    scopus 로고
    • Multiclass support vector machines for EEG-signals classification
    • Guler I, Ubeyli ED. Multiclass support vector machines for EEG-signals classification. IEEE Trans Inf Tech Biomedicine 2007, 11:117-126.
    • (2007) IEEE Trans Inf Tech Biomedicine , vol.11 , pp. 117-126
    • Guler, I.1    Ubeyli, E.D.2
  • 44
    • 0002229304 scopus 로고    scopus 로고
    • Pairwise classification and support vector machines
    • The MIT Press, Cambridge, MA, Schölkopf B, Burges CJC, Smola AJ
    • Kreßel UHG. Pairwise classification and support vector machines. Advances in Kernel Methods: Support Vector Learning 1999, 255-268. The MIT Press, Cambridge, MA, Schölkopf B, Burges CJC, Smola AJ.
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 255-268
    • Kreßel, U.H.G.1
  • 45
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges CJC. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 1998, 2:121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 48
    • 0037002322 scopus 로고    scopus 로고
    • A support vector machine approach for detection of microcalsifications
    • Naqa IE, Yang Y, Wernik M, Galatsanos N, Nishikawa R. A support vector machine approach for detection of microcalsifications. Med Imag 2002, 21:1552-1563.
    • (2002) Med Imag , vol.21 , pp. 1552-1563
    • Naqa, I.E.1    Yang, Y.2    Wernik, M.3    Galatsanos, N.4    Nishikawa, R.5
  • 51
    • 33846516584 scopus 로고    scopus 로고
    • Sparse kernel machines
    • Springer, Jordan M, Kleinberg J, Scholkopf B
    • Bishop CM. Sparse kernel machines. Pattern recognition and machine learning 2006, 325-358. Springer, Jordan M, Kleinberg J, Scholkopf B.
    • (2006) Pattern recognition and machine learning , pp. 325-358
    • Bishop, C.M.1
  • 53
    • 0033855208 scopus 로고    scopus 로고
    • Force synergies for multifingered grasping
    • 10.1007/s002210000420, 10985681
    • Santello M, Soechting JF. Force synergies for multifingered grasping. Exp Brain Res 2000, 133:457-467. 10.1007/s002210000420, 10985681.
    • (2000) Exp Brain Res , vol.133 , pp. 457-467
    • Santello, M.1    Soechting, J.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.