134 related articles for article (PubMed ID: 25486646)
1. Characterization of a benchmark database for myoelectric movement classification.
Atzori M; Gijsberts A; Kuzborskij I; Elsig S; Hager AG; Deriaz O; Castellini C; Muller H; Caputo B
IEEE Trans Neural Syst Rehabil Eng; 2015 Jan; 23(1):73-83. PubMed ID: 25486646
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Support vectors machine classification of surface electromyography for non-invasive naturally controlled hand prostheses.
Moura KO; Favieiro GW; Balbinot A
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():788-791. PubMed ID: 28268444
[TBL] [Abstract][Full Text] [Related]
4. Movement error rate for evaluation of machine learning methods for sEMG-based hand movement classification.
Gijsberts A; Atzori M; Castellini C; Muller H; Caputo B
IEEE Trans Neural Syst Rehabil Eng; 2014 Jul; 22(4):735-44. PubMed ID: 24760932
[TBL] [Abstract][Full Text] [Related]
5. Assessment of EMG Benchmark Data for Gesture Recognition Using the NinaPro Database.
Chang J; Phinyomark A; Scheme E
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():3339-3342. PubMed ID: 33018719
[TBL] [Abstract][Full Text] [Related]
6. Experiences in the creation of an electromyography database to help hand amputated persons.
Atzori M; Gijsberts A; Heynen S; Hager AG; Castellimi C; Caputo B; Müller H
Stud Health Technol Inform; 2012; 180():828-32. PubMed ID: 22874308
[TBL] [Abstract][Full Text] [Related]
7. Classification complexity in myoelectric pattern recognition.
Nilsson N; Håkansson B; Ortiz-Catalan M
J Neuroeng Rehabil; 2017 Jul; 14(1):68. PubMed ID: 28693533
[TBL] [Abstract][Full Text] [Related]
8. The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics.
Atzori M; Muller H
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():7151-4. PubMed ID: 26737941
[TBL] [Abstract][Full Text] [Related]
9. A wavelet-based continuous classification scheme for multifunction myoelectric control.
Englehart K; Hudgins B; Parker PA
IEEE Trans Biomed Eng; 2001 Mar; 48(3):302-11. PubMed ID: 11327498
[TBL] [Abstract][Full Text] [Related]
10. Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion.
Wang G; Wang Z; Chen W; Zhuang J
Med Biol Eng Comput; 2006 Oct; 44(10):865-72. PubMed ID: 16951931
[TBL] [Abstract][Full Text] [Related]
11. Selective classification for improved robustness of myoelectric control under nonideal conditions.
Scheme EJ; Englehart KB; Hudgins BS
IEEE Trans Biomed Eng; 2011 Jun; 58(6):1698-705. PubMed ID: 21317073
[TBL] [Abstract][Full Text] [Related]
12. Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines.
Cene VH; Tosin M; Machado J; Balbinot A
Sensors (Basel); 2019 Apr; 19(8):. PubMed ID: 31003524
[TBL] [Abstract][Full Text] [Related]
13. Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control.
Hahne JM; Biessmann F; Jiang N; Rehbaum H; Farina D; Meinecke FC; Muller KR; Parra LC
IEEE Trans Neural Syst Rehabil Eng; 2014 Mar; 22(2):269-79. PubMed ID: 24608685
[TBL] [Abstract][Full Text] [Related]
14. The application of mutual information-based feature selection and fuzzy LS-SVM-based classifier in motion classification.
Yan Z; Wang Z; Xie H
Comput Methods Programs Biomed; 2008 Jun; 90(3):275-84. PubMed ID: 18295367
[TBL] [Abstract][Full Text] [Related]
15. Improving transient state myoelectric signal recognition in hand movement classification using gyroscopes.
Boschmann A; Nofen B; Platzner M
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6035-8. PubMed ID: 24111115
[TBL] [Abstract][Full Text] [Related]
16. Use of the discriminant Fourier-derived cepstrum with feature-level post-processing for surface electromyographic signal classification.
Chen X; Zhu X; Zhang D
Physiol Meas; 2009 Dec; 30(12):1399-413. PubMed ID: 19887720
[TBL] [Abstract][Full Text] [Related]
17. Recognition of hand movements in a trans-radial amputated subject by sEMG.
Atzori M; Muller H; Baechler M
IEEE Int Conf Rehabil Robot; 2013 Jun; 2013():6650486. PubMed ID: 24187303
[TBL] [Abstract][Full Text] [Related]
18. Feature Selection and Non-Linear Classifiers: Effects on Simultaneous Motion Recognition in Upper Limb.
Camargo J; Young A
IEEE Trans Neural Syst Rehabil Eng; 2019 Apr; 27(4):743-750. PubMed ID: 30869626
[TBL] [Abstract][Full Text] [Related]
19. Ant colony optimization-based feature selection method for surface electromyography signals classification.
Huang H; Xie HB; Guo JY; Chen HJ
Comput Biol Med; 2012 Jan; 42(1):30-8. PubMed ID: 22074763
[TBL] [Abstract][Full Text] [Related]
20. A discriminant bispectrum feature for surface electromyogram signal classification.
Chen X; Zhu X; Zhang D
Med Eng Phys; 2010 Mar; 32(2):126-35. PubMed ID: 19955011
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]