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Items: 1 to 20 of 108

1.

The effect of involuntary motor activity on myoelectric pattern recognition: a case study with chronic stroke patients.

Zhang X, Li Y, Chen X, Li G, Rymer WZ, Zhou P.

J Neural Eng. 2013 Aug;10(4):046015. doi: 10.1088/1741-2560/10/4/046015. Epub 2013 Jul 17.

2.

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.

3.

High-density myoelectric pattern recognition toward improved stroke rehabilitation.

Zhang X, Zhou P.

IEEE Trans Biomed Eng. 2012 Jun;59(6):1649-57. doi: 10.1109/TBME.2012.2191551. Epub 2012 Mar 21.

PMID:
22453603
4.

Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy.

Liu J, Li X, Marciniak C, Rymer WZ, Zhou P.

Int J Neural Syst. 2014 Nov;24(7):1450022. doi: 10.1142/S0129065714500221. Epub 2014 Sep 22.

PMID:
25245096
5.

Myoelectric pattern identification of stroke survivors using multivariate empirical mode decomposition.

Zhang X, Zhou P.

J Healthc Eng. 2014;5(3):261-73. doi: 10.1260/2040-2295.5.3.261.

6.

A novel myoelectric pattern recognition strategy for hand function restoration after incomplete cervical spinal cord injury.

Liu J, Zhou P.

IEEE Trans Neural Syst Rehabil Eng. 2013 Jan;21(1):96-103. doi: 10.1109/TNSRE.2012.2218832. Epub 2012 Sep 27.

7.

Power spectral analysis of surface electromyography (EMG) at matched contraction levels of the first dorsal interosseous muscle in stroke survivors.

Li X, Shin H, Zhou P, Niu X, Liu J, Rymer WZ.

Clin Neurophysiol. 2014 May;125(5):988-94. doi: 10.1016/j.clinph.2013.09.044. Epub 2013 Nov 21.

PMID:
24268816
8.

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
9.

The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates.

Li X, Rymer WZ, Li G, Zhou P.

J Neuroeng Rehabil. 2011 Nov 23;8:64. doi: 10.1186/1743-0003-8-64.

10.

Classification of upper limb motions in stroke using high density surface EMG.

Zhang X, Zhou P.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:3367-70. doi: 10.1109/IEMBS.2011.6090912.

PMID:
22255061
11.

Wiener filtering of surface EMG with a priori SNR estimation toward myoelectric control for neurological injury patients.

Liu J, Ying D, Zhou P.

Med Eng Phys. 2014 Dec;36(12):1711-5. doi: 10.1016/j.medengphy.2014.09.008. Epub 2014 Oct 29.

12.
13.

Examination of hand muscle activation and motor unit indices derived from surface EMG in chronic stroke.

Li X, Liu J, Li S, Wang YC, Zhou P.

IEEE Trans Biomed Eng. 2014 Dec;61(12):2891-8. doi: 10.1109/TBME.2014.2333034. Epub 2014 Jun 25.

14.

Electromyographic analysis of upper limb muscles during standardized isotonic and isokinetic robotic exercise of spastic elbow in patients with stroke.

Sin M, Kim WS, Park D, Min YS, Kim WJ, Cho K, Paik NJ.

J Electromyogr Kinesiol. 2014 Feb;24(1):11-7. doi: 10.1016/j.jelekin.2013.10.002. Epub 2013 Oct 21.

PMID:
24290983
15.

EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study.

Cesqui B, Tropea P, Micera S, Krebs HI.

J Neuroeng Rehabil. 2013 Jul 15;10:75. doi: 10.1186/1743-0003-10-75.

16.

Disturbances of motor unit rate modulation are prevalent in muscles of spastic-paretic stroke survivors.

Mottram CJ, Heckman CJ, Powers RK, Rymer WZ, Suresh NL.

J Neurophysiol. 2014 May;111(10):2017-28. doi: 10.1152/jn.00389.2013. Epub 2014 Feb 26.

17.

Myoelectrically controlled wrist robot for stroke rehabilitation.

Song R, Tong KY, Hu X, Zhou W.

J Neuroeng Rehabil. 2013 Jun 10;10:52. doi: 10.1186/1743-0003-10-52.

18.

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
19.
20.

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
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