308 related articles for article (PubMed ID: 16126579)
1. Surface myoelectric signal classification for prostheses control.
Al-Assaf Y; Al-Nashash H
J Med Eng Technol; 2005; 29(5):203-7. PubMed ID: 16126579
[TBL] [Abstract][Full Text] [Related]
2. Principal components analysis preprocessing for improved classification accuracies in pattern-recognition-based myoelectric control.
Hargrove LJ; Li G; Englehart KB; Hudgins BS
IEEE Trans Biomed Eng; 2009 May; 56(5):1407-14. PubMed ID: 19473932
[TBL] [Abstract][Full Text] [Related]
3. A fuzzy clustering neural network architecture for multifunction upper-limb prosthesis.
Karlik B; Tokhi MO; Alci M
IEEE Trans Biomed Eng; 2003 Nov; 50(11):1255-61. PubMed ID: 14619995
[TBL] [Abstract][Full Text] [Related]
4. Surface myoelectric signal analysis: dynamic approaches for change detection and classification.
Al-Assaf Y
IEEE Trans Biomed Eng; 2006 Nov; 53(11):2248-56. PubMed ID: 17073330
[TBL] [Abstract][Full Text] [Related]
5. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses.
Huang Y; Englehart KB; Hudgins B; Chan AD
IEEE Trans Biomed Eng; 2005 Nov; 52(11):1801-11. PubMed ID: 16285383
[TBL] [Abstract][Full Text] [Related]
6. Support vector machine-based classification scheme for myoelectric control applied to upper limb.
Oskoei MA; Hu H
IEEE Trans Biomed Eng; 2008 Aug; 55(8):1956-65. PubMed ID: 18632358
[TBL] [Abstract][Full Text] [Related]
7. Estimation of elbow-induced wrist force with EMG signals using fast orthogonal search.
Mobasser F; Eklund JM; Hashtrudi-Zaad K
IEEE Trans Biomed Eng; 2007 Apr; 54(4):683-93. PubMed ID: 17405375
[TBL] [Abstract][Full Text] [Related]
8. Continuous myoelectric control for powered prostheses using hidden Markov models.
Chan AD; Englehart KB
IEEE Trans Biomed Eng; 2005 Jan; 52(1):121-4. PubMed ID: 15651571
[TBL] [Abstract][Full Text] [Related]
9. Electrical manifestations of muscle fatigue during concentric and eccentric isokinetic knee flexion-extension movements.
Molinari F; Knaflitz M; Bonato P; Actis MV
IEEE Trans Biomed Eng; 2006 Jul; 53(7):1309-16. PubMed ID: 16830935
[TBL] [Abstract][Full Text] [Related]
10. Optimized wavelets for blind separation of nonstationary surface myoelectric signals.
Farina D; Lucas MF; Doncarli C
IEEE Trans Biomed Eng; 2008 Jan; 55(1):78-86. PubMed ID: 18232349
[TBL] [Abstract][Full Text] [Related]
11. Compression of EMG signals with wavelet transform and artificial neural networks.
Berger Pde A; Nascimento FA; do Carmo JC; da Rocha AF
Physiol Meas; 2006 Jun; 27(6):457-65. PubMed ID: 16603798
[TBL] [Abstract][Full Text] [Related]
12. Analysis and classification of compressed EMG signals by wavelet transform via alternative neural networks algorithms.
Ozsert M; Yavuz O; Durak-Ata L
Comput Methods Biomech Biomed Engin; 2011 Jun; 14(6):521-5. PubMed ID: 20645198
[TBL] [Abstract][Full Text] [Related]
13. Fractal analysis of surface electromyography signals: a novel power spectrum-based method.
Talebinejad M; Chan AD; Miri A; Dansereau RM
J Electromyogr Kinesiol; 2009 Oct; 19(5):840-50. PubMed ID: 18617420
[TBL] [Abstract][Full Text] [Related]
14. A wavelet-based continuous classification scheme for multifunction myoelectric control.
Englehart K; Hudgins B; Parker PA
IEEE Trans Biomed Eng; 2001 Mar; 48(3):302-11. PubMed ID: 11327498
[TBL] [Abstract][Full Text] [Related]
15. Extracting simultaneous and proportional neural control information for multiple-DOF prostheses from the surface electromyographic signal.
Jiang N; Englehart KB; Parker PA
IEEE Trans Biomed Eng; 2009 Apr; 56(4):1070-80. PubMed ID: 19272889
[TBL] [Abstract][Full Text] [Related]
16. Investigation of optimum electrode locations by using an automatized surface electromyography analysis technique.
Nishihara K; Kawai H; Gomi T; Terajima M; Chiba Y
IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):636-42. PubMed ID: 18269999
[TBL] [Abstract][Full Text] [Related]
17. A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand.
Chu JU; Moon I; Mun MS
IEEE Trans Biomed Eng; 2006 Nov; 53(11):2232-9. PubMed ID: 17073328
[TBL] [Abstract][Full Text] [Related]
18. Vision-based segmentation of continuous mechanomyographic grasping sequences.
Alves N; Chau T
IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):765-73. PubMed ID: 18270015
[TBL] [Abstract][Full Text] [Related]
19. Wavelet analysis of surface electromyography to determine muscle fatigue.
Kumar DK; Pah ND; Bradley A
IEEE Trans Neural Syst Rehabil Eng; 2003 Dec; 11(4):400-6. PubMed ID: 14960116
[TBL] [Abstract][Full Text] [Related]
20. Fatigue estimation with a multivariable myoelectric mapping function.
MacIsaac DT; Parker PA; Englehart KB; Rogers DR
IEEE Trans Biomed Eng; 2006 Apr; 53(4):694-700. PubMed ID: 16602576
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]