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Items: 1 to 20 of 121

1.

Fuzzy control with amplitude/pulse-width modulation of nerve electrical stimulation for muscle force control.

Lin CC, Liu WC, Chan CC, Ju MS.

J Neural Eng. 2012 Apr;9(2):026026. doi: 10.1088/1741-2560/9/2/026026.

PMID:
22422279
2.

Feedback control methods for task regulation by electrical stimulation of muscles.

Lan N, Crago PE, Chizeck HJ.

IEEE Trans Biomed Eng. 1991 Dec;38(12):1213-23.

PMID:
1774083
3.

Fully automatic control of paraplegic FES pedaling using higher-order sliding mode and fuzzy logic control.

Farhoud A, Erfanian A.

IEEE Trans Neural Syst Rehabil Eng. 2014 May;22(3):533-42. doi: 10.1109/TNSRE.2013.2296334.

PMID:
24760923
5.
6.

Nonlinear control of an activated sludge aeration process: use of fuzzy techniques for tuning PID controllers.

Rodrigo MA, Seco A, Ferrer J, Penya-roja JM, Valverde JL.

ISA Trans. 1999;38(3):231-41.

PMID:
10560141
7.

Neuro-fuzzy extraction of angular information from muscle afferents for ankle control during standing in paraplegic subjects: an animal model.

Micera S, Jensen W, Sepulveda F, Riso RR, Sinkjaer T.

IEEE Trans Biomed Eng. 2001 Jul;48(7):787-94.

PMID:
11442290
8.

Coordinated, multi-joint, fatigue-resistant feline stance produced with intrafascicular hind limb nerve stimulation.

Normann RA, Dowden BR, Frankel MA, Wilder AM, Hiatt SD, Ledbetter NM, Warren DA, Clark GA.

J Neural Eng. 2012 Apr;9(2):026019. doi: 10.1088/1741-2560/9/2/026019.

9.

Applying fuzzy logic to control cycling movement induced by functional electrical stimulation.

Chen JJ, Yu NY, Huang DG, Ann BT, Chang GC.

IEEE Trans Rehabil Eng. 1997 Jun;5(2):158-69.

PMID:
9184902
10.

Neural network and fuzzy control in FES-assisted locomotion for the hemiplegic.

Chen YL, Chen SC, Chen WL, Hsiao CC, Kuo TS, Lai JS.

J Med Eng Technol. 2004 Jan-Feb;28(1):32-8.

PMID:
14660183
11.

Feedback control of electrically stimulated muscle using simultaneous pulse width and stimulus period modulation.

Chizeck HJ, Lan N, Palmieri LS, Crago PE.

IEEE Trans Biomed Eng. 1991 Dec;38(12):1224-34.

PMID:
1774084
12.

Contribution of force feedback to ankle extensor activity in decerebrate walking cats.

Donelan JM, Pearson KG.

J Neurophysiol. 2004 Oct;92(4):2093-104.

13.
14.

New hybrid adaptive neuro-fuzzy algorithms for manipulator control with uncertainties- comparative study.

Alavandar S, Nigam MJ.

ISA Trans. 2009 Oct;48(4):497-502. doi: 10.1016/j.isatra.2009.05.003.

PMID:
19523623
15.

A stimulating nerve cuff for chronic in vivo measurements of torque produced about the ankle in the mouse.

Warren GL, Ingalls CP, Armstrong RB.

J Appl Physiol (1985). 1998 Jun;84(6):2171-6.

16.

Adaptive neuro-fuzzy sliding mode control of multi-joint movement using intraspinal microstimulation.

Asadi AR, Erfanian A.

IEEE Trans Neural Syst Rehabil Eng. 2012 Jul;20(4):499-509. doi: 10.1109/TNSRE.2012.2197828.

PMID:
22711783
17.

Frequency domain-based models of skeletal muscle.

Baratta RV, Solomonow M, Zhou BH.

J Electromyogr Kinesiol. 1998 Apr;8(2):79-91.

PMID:
9680948
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20.

On the intersubject generalization ability in extracting kinematic information from afferent nervous signals.

Cavallaro E, Micera S, Dario P, Jensen W, Sinkjaer T.

IEEE Trans Biomed Eng. 2003 Sep;50(9):1063-73.

PMID:
12943274
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