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Results: 1 to 20 of 145

1.

Surface electromyogram signals classification based on bispectrum.

Orosco E, Lopez N, Soria C, di Sciascio F.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4610-3. doi: 10.1109/IEMBS.2010.5626516.

PMID:
21096229
[PubMed - indexed for MEDLINE]
2.

Extracting effective features of SEMG using continuous wavelet transform.

Kilby J, Hosseini HG.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:1704-7.

PMID:
17946475
[PubMed - indexed for MEDLINE]
3.

Application of higher order statistics to surface electromyogram signal classification.

Nazarpour K, Sharafat AR, Firoozabadi SM.

IEEE Trans Biomed Eng. 2007 Oct;54(10):1762-9.

PMID:
17926674
[PubMed - indexed for MEDLINE]
4.

A machine learning based method for classification of fractal features of forearm sEMG using Twin Support vector machines.

Arjunan SP, Kumar DK, Naik GR.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4821-4. doi: 10.1109/IEMBS.2010.5627902.

PMID:
21097298
[PubMed - indexed for MEDLINE]
5.

Surface myoelectric signal classification for prostheses control.

Al-Assaf Y, Al-Nashash H.

J Med Eng Technol. 2005 Sep-Oct;29(5):203-7.

PMID:
16126579
[PubMed - indexed for MEDLINE]
6.

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.

PMID:
14619995
[PubMed - indexed for MEDLINE]
7.

Classification of surface EMG signal with fractal dimension.

Hu X, Wang ZZ, Ren XM.

J Zhejiang Univ Sci B. 2005 Aug;6(8):844-8.

PMID:
16052721
[PubMed - indexed for MEDLINE]
Free PMC Article
8.

Identification of isometric contractions based on High Density EMG maps.

Rojas-Martínez M, Mañanas MA, Alonso JF, Merletti R.

J Electromyogr Kinesiol. 2013 Feb;23(1):33-42. doi: 10.1016/j.jelekin.2012.06.009. Epub 2012 Jul 20.

PMID:
22819519
[PubMed - indexed for MEDLINE]
9.

Use of sEMG in identification of low level muscle activities: features based on ICA and fractal dimension.

Naik GR, Kumar DK, Arjunan S.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:364-7. doi: 10.1109/IEMBS.2009.5332489.

PMID:
19963459
[PubMed - indexed for MEDLINE]
10.

Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms.

Kuiken TA, Li G, Lock BA, Lipschutz RD, Miller LA, Stubblefield KA, Englehart KB.

JAMA. 2009 Feb 11;301(6):619-28. doi: 10.1001/jama.2009.116.

PMID:
19211469
[PubMed - indexed for MEDLINE]
Free PMC Article
11.

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. doi: 10.1016/j.jelekin.2008.05.004. Epub 2008 Jul 9.

PMID:
18617420
[PubMed - indexed for MEDLINE]
12.

Application of higher order statistics techniques to EMG signals to characterize the motor unit action potential.

Shahid S, Walker J, Lyons GM, Byrne CA, Nene AV.

IEEE Trans Biomed Eng. 2005 Jul;52(7):1195-209.

PMID:
16041983
[PubMed - indexed for MEDLINE]
13.

Neural network committees for finger joint angle estimation from surface EMG signals.

Shrirao NA, Reddy NP, Kosuri DR.

Biomed Eng Online. 2009 Jan 20;8:2. doi: 10.1186/1475-925X-8-2.

PMID:
19154615
[PubMed - indexed for MEDLINE]
Free PMC Article
14.

Classification of upper arm EMG signals during object-specific grasp.

Martelloni C, Carpaneto J, Micera S.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:5061-4. doi: 10.1109/IEMBS.2008.4650351.

PMID:
19163854
[PubMed - indexed for MEDLINE]
15.

The evaluation of the discriminant ability of multiclass SVM in a study of hand motion recognition by using SEMG.

Futamata M, Nagata K, Magatani K.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:5246-9. doi: 10.1109/EMBC.2012.6347177.

PMID:
23367112
[PubMed - indexed for MEDLINE]
16.

Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors.

Arjunan SP, Kumar DK.

J Neuroeng Rehabil. 2010 Oct 21;7:53. doi: 10.1186/1743-0003-7-53.

PMID:
20964863
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

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
[PubMed - indexed for MEDLINE]
18.

Automatic determination of synergies by radial basis function artificial neural networks for the control of a neural prosthesis.

Iftime SD, Egsgaard LL, Popović MB.

IEEE Trans Neural Syst Rehabil Eng. 2005 Dec;13(4):482-9.

PMID:
16425830
[PubMed - indexed for MEDLINE]
19.

Identification of hand and finger movements using multi run ICA of surface electromyogram.

Naik GR, Kumar DK.

J Med Syst. 2012 Apr;36(2):841-51. doi: 10.1007/s10916-010-9548-2. Epub 2010 Jul 7.

PMID:
20703649
[PubMed - indexed for MEDLINE]
20.

Development and evaluation of a musculoskeletal model of the elbow joint complex.

Gonzalez RV, Hutchins EL, Barr RE, Abraham LD.

J Biomech Eng. 1996 Feb;118(1):32-40.

PMID:
8833072
[PubMed - indexed for MEDLINE]

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