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Items: 1 to 20 of 98

1.

A comparison of the effects of electrode implantation and targeting on pattern classification accuracy for prosthesis control.

Farrell TR, Weir RF.

IEEE Trans Biomed Eng. 2008 Sep;55(9):2198-211. doi: 10.1109/TBME.2008.923917.

2.

Spatial correlation of high density EMG signals provides features robust to electrode number and shift in pattern recognition for myocontrol.

Stango A, Negro F, Farina D.

IEEE Trans Neural Syst Rehabil Eng. 2015 Mar;23(2):189-98. doi: 10.1109/TNSRE.2014.2366752. Epub 2014 Nov 6.

PMID:
25389242
3.

Surface versus untargeted intramuscular EMG based classification of simultaneous and dynamically changing movements.

Kamavuako EN, Rosenvang JC, Horup R, Jensen W, Farina D, Englehart KB.

IEEE Trans Neural Syst Rehabil Eng. 2013 Nov;21(6):992-8. doi: 10.1109/TNSRE.2013.2248750. Epub 2013 Mar 7.

PMID:
23481867
4.

A novel channel selection method for multiple motion classification using high-density electromyography.

Geng Y, Zhang X, Zhang YT, Li G.

Biomed Eng Online. 2014 Jul 25;13:102. doi: 10.1186/1475-925X-13-102.

5.

An analysis of EMG electrode configuration for targeted muscle reinnervation based neural machine interface.

Huang H, Zhou P, Li G, Kuiken TA.

IEEE Trans Neural Syst Rehabil Eng. 2008 Feb;16(1):37-45. doi: 10.1109/TNSRE.2007.910282.

6.

Reducing classification accuracy degradation of pattern recognition based myoelectric control caused by electrode shift using a high density electrode array.

Boschmann A, Platzner M.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:4324-7. doi: 10.1109/EMBC.2012.6346923.

PMID:
23366884
7.

Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns.

Pan L, Zhang D, Jiang N, Sheng X, Zhu X.

J Neuroeng Rehabil. 2015 Dec 2;12:110. doi: 10.1186/s12984-015-0102-9.

8.

Selection of sampling rate for EMG pattern recognition based prosthesis control.

Li G, Li Y, Zhang Z, Geng Y, Zhou R.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5058-61. doi: 10.1109/IEMBS.2010.5626224.

PMID:
21096026
9.

Real-time and offline performance of pattern recognition myoelectric control using a generic electrode grid with targeted muscle reinnervation patients.

Tkach DC, Young AJ, Smith LH, Rouse EJ, Hargrove LJ.

IEEE Trans Neural Syst Rehabil Eng. 2014 Jul;22(4):727-34. doi: 10.1109/TNSRE.2014.2302799. Epub 2014 Feb 11.

PMID:
24760931
10.

Surface electromyogram analysis of the direction of isometric torque generation by the first dorsal interosseous muscle.

Zhou P, Suresh NL, Rymer WZ.

J Neural Eng. 2011 Jun;8(3):036028. doi: 10.1088/1741-2560/8/3/036028. Epub 2011 May 13.

PMID:
21566274
11.
12.

High density electromyography data of normally limbed and transradial amputee subjects for multifunction prosthetic control.

Daley H, Englehart K, Hargrove L, Kuruganti U.

J Electromyogr Kinesiol. 2012 Jun;22(3):478-84. doi: 10.1016/j.jelekin.2011.12.012. Epub 2012 Jan 24.

PMID:
22269773
13.

EMG feature assessment for myoelectric pattern recognition and channel selection: a study with incomplete spinal cord injury.

Liu J, Li X, Li G, Zhou P.

Med Eng Phys. 2014 Jul;36(7):975-80. doi: 10.1016/j.medengphy.2014.04.003. Epub 2014 May 17.

14.

The effect of electrode displacements on pattern recognition based myoelectric control.

Hargrove L, Englehart K, Hudgins B.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:2203-6.

PMID:
17946096
15.

On the usability of intramuscular EMG for prosthetic control: a Fitts' Law approach.

Kamavuako EN, Scheme EJ, Englehart KB.

J Electromyogr Kinesiol. 2014 Oct;24(5):770-7. doi: 10.1016/j.jelekin.2014.06.009. Epub 2014 Jun 30.

PMID:
25048642
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. doi: 10.1109/TBME.2007.912673.

PMID:
18269999
17.

Optimal electrode configurations for finger movement classification using EMG.

Andrews A, Morin E, McLean L.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:2987-90. doi: 10.1109/IEMBS.2009.5332520.

PMID:
19963553
18.

Feature dimensionality reduction for myoelectric pattern recognition: a comparison study of feature selection and feature projection methods.

Liu J.

Med Eng Phys. 2014 Dec;36(12):1716-20. doi: 10.1016/j.medengphy.2014.09.011. Epub 2014 Oct 5.

PMID:
25292451
19.

Study of stability of time-domain features for electromyographic pattern recognition.

Tkach D, Huang H, Kuiken TA.

J Neuroeng Rehabil. 2010 May 21;7:21. doi: 10.1186/1743-0003-7-21.

20.

Extracting signals robust to electrode number and shift for online simultaneous and proportional myoelectric control by factorization algorithms.

Muceli S, Jiang N, Farina D.

IEEE Trans Neural Syst Rehabil Eng. 2014 May;22(3):623-33. doi: 10.1109/TNSRE.2013.2282898. Epub 2013 Oct 10.

PMID:
24132017

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