133 related articles for article (PubMed ID: 22255469)
1. Wavelet frequency-temporal relative phase pattern analysis for intermuscular synchronization of dynamic surface EMG signals.
Chan CW; Almosnino S; Morin EL
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5032-5. PubMed ID: 22255469
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Gestures recognition based on wavelet and LLE.
Ai Q; Liu Q; Yuan T; Lu Y
Australas Phys Eng Sci Med; 2013 Jun; 36(2):167-76. PubMed ID: 23512298
[TBL] [Abstract][Full Text] [Related]
4. Extracting effective features of SEMG using continuous wavelet transform.
Kilby J; Hosseini HG
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1704-7. PubMed ID: 17946475
[TBL] [Abstract][Full Text] [Related]
5. Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise.
Camata TV; Dantas JL; Abrao T; Brunetto MA; Moraes AC; Altimari LR
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():1364-7. PubMed ID: 21096332
[TBL] [Abstract][Full Text] [Related]
6. Fourier and wavelet spectral analysis of EMG signals in maximal constant load dynamic exercise.
Costa MV; Pereira LA; Oliveira RS; Pedro RE; Camata TV; Abrao T; Brunetto MA; Altimari LR
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4622-5. PubMed ID: 21096232
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Aliasing rejection in Precision Decomposition of EMG signals.
Chang SS; De Luca CJ; Nawab S
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4972-5. PubMed ID: 19163833
[TBL] [Abstract][Full Text] [Related]
10. Feature extraction of the first difference of EMG time series for EMG pattern recognition.
Phinyomark A; Quaine F; Charbonnier S; Serviere C; Tarpin-Bernard F; Laurillau Y
Comput Methods Programs Biomed; 2014 Nov; 117(2):247-56. PubMed ID: 25023536
[TBL] [Abstract][Full Text] [Related]
11. A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: application to the analysis of cortico-muscular interactions.
Bigot J; Longcamp M; Dal Maso F; Amarantini D
Neuroimage; 2011 Apr; 55(4):1504-18. PubMed ID: 21256224
[TBL] [Abstract][Full Text] [Related]
12. Wavelet analysis for Support Vector Machine classification of motor unit action potentials.
Dobrowolski AP; Wierzbowski M; Tomczykiewicz K
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4632-5. PubMed ID: 21096234
[TBL] [Abstract][Full Text] [Related]
13. On the challenge of classifying 52 hand movements from surface electromyography.
Kuzborskij I; Gijsberts A; Caputo B
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4931-7. PubMed ID: 23367034
[TBL] [Abstract][Full Text] [Related]
14. Addressing source separation and identification issues in surface EMG using blind source separation.
Naik GR; Kumar DK; Palaniswami M
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1124-7. PubMed ID: 19162861
[TBL] [Abstract][Full Text] [Related]
15. Influence of amplitude cancellation on the accuracy of determining the onset of muscle activity from the surface electromyogram.
Jesunathadas M; Aidoor SS; Keenan KG; Farina D; Enoka RM
J Electromyogr Kinesiol; 2012 Jun; 22(3):494-500. PubMed ID: 22330887
[TBL] [Abstract][Full Text] [Related]
16. Multi-receiver precision decomposition of intramuscular EMG signals.
Nawab SH; Wotiz RP; De Luca CJ
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1252-5. PubMed ID: 17945629
[TBL] [Abstract][Full Text] [Related]
17. The use of the wavelet transform in EMG M-wave pattern classification.
Salvador J; de Bruin H
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2304-7. PubMed ID: 17946951
[TBL] [Abstract][Full Text] [Related]
18. ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA.
Abbaspour S; Lindén M; Gholamhosseini H
Stud Health Technol Inform; 2015; 211():91-7. PubMed ID: 25980853
[TBL] [Abstract][Full Text] [Related]
19. Identification of contaminant type in surface electromyography (EMG) signals.
McCool P; Fraser GD; Chan AD; Petropoulakis L; Soraghan JJ
IEEE Trans Neural Syst Rehabil Eng; 2014 Jul; 22(4):774-83. PubMed ID: 24760926
[TBL] [Abstract][Full Text] [Related]
20. 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. PubMed ID: 25389242
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
