These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
145 related articles for article (PubMed ID: 19163111)
21. Hand motion classification using a multi-channel surface electromyography sensor. Tang X; Liu Y; Lv C; Sun D Sensors (Basel); 2012; 12(2):1130-47. PubMed ID: 22438703 [TBL] [Abstract][Full Text] [Related]
22. Control of a myoelectric arm considering cooperated motion of elbow and shoulder joints. Kiguchi K; Hayashi Y Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():1616-9. PubMed ID: 22254632 [TBL] [Abstract][Full Text] [Related]
23. Decoding the grasping intention from electromyography during reaching motions. Batzianoulis I; Krausz NE; Simon AM; Hargrove L; Billard A J Neuroeng Rehabil; 2018 Jun; 15(1):57. PubMed ID: 29940991 [TBL] [Abstract][Full Text] [Related]
24. The effect of time on EMG classification of hand motions in able-bodied and transradial amputees. Waris A; Niazi IK; Jamil M; Gilani O; Englehart K; Jensen W; Shafique M; Kamavuako EN J Electromyogr Kinesiol; 2018 Jun; 40():72-80. PubMed ID: 29689443 [TBL] [Abstract][Full Text] [Related]
25. Swarm-wavelet based extreme learning machine for finger movement classification on transradial amputees. Anam K; Al-Jumaily A Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():4192-5. PubMed ID: 25570916 [TBL] [Abstract][Full Text] [Related]
26. Electromyogram synergy control of a dexterous artificial hand to unscrew and screw objects. Kent BA; Karnati N; Engeberg ED J Neuroeng Rehabil; 2014 Mar; 11():41. PubMed ID: 24655413 [TBL] [Abstract][Full Text] [Related]
27. 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 Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():5246-9. PubMed ID: 23367112 [TBL] [Abstract][Full Text] [Related]
28. Support vector machine-based classification scheme for myoelectric control applied to upper limb. Oskoei MA; Hu H IEEE Trans Biomed Eng; 2008 Aug; 55(8):1956-65. PubMed ID: 18632358 [TBL] [Abstract][Full Text] [Related]
29. Real-time motion discrimination considering variation of EMG signals associated with lapse of time. Shiraki M; Tsujiuchi N; Akihito I; Yamamoto T Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():490-3. PubMed ID: 26736306 [TBL] [Abstract][Full Text] [Related]
30. EMG and ENG-envelope pattern recognition for prosthetic hand control. Noce E; Dellacasa Bellingegni A; Ciancio AL; Sacchetti R; Davalli A; Guglielmelli E; Zollo L J Neurosci Methods; 2019 Jan; 311():38-46. PubMed ID: 30316891 [TBL] [Abstract][Full Text] [Related]
31. Hand motion recognition based on forearm deformation measured with a distance sensor array. Sung-Gwi Cho ; Yoshikawa M; Baba K; Ogawa K; Takamatsu J; Ogasawara T Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4955-4958. PubMed ID: 28269380 [TBL] [Abstract][Full Text] [Related]
32. 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]
33. Evaluating different combinations of feature selection algorithms and cost functions applied to iPCA tuning in myoelectric control systems. Camacho Muñoz GA; Llanos CH; Berger Pde A; Miosso CJ; da Rocha AF Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():6508-13. PubMed ID: 23367420 [TBL] [Abstract][Full Text] [Related]
34. A mechatronics platform to study prosthetic hand control using EMG signals. Geethanjali P Australas Phys Eng Sci Med; 2016 Sep; 39(3):765-71. PubMed ID: 27278475 [TBL] [Abstract][Full Text] [Related]
35. Interface Prostheses With Classifier-Feedback-Based User Training. Fang Y; Zhou D; Li K; Liu H IEEE Trans Biomed Eng; 2017 Nov; 64(11):2575-2583. PubMed ID: 28026744 [TBL] [Abstract][Full Text] [Related]
36. Extraction and Classification of Multichannel Electromyographic Activation Trajectories for Hand Movement Recognition. AbdelMaseeh M; Chen TW; Stashuk DW IEEE Trans Neural Syst Rehabil Eng; 2016 Jun; 24(6):662-73. PubMed ID: 26099148 [TBL] [Abstract][Full Text] [Related]
37. A novel feature extraction for robust EMG pattern recognition. Veer K; Sharma T J Med Eng Technol; 2016; 40(4):149-54. PubMed ID: 27004618 [TBL] [Abstract][Full Text] [Related]
38. Invariant Surface EMG Feature Against Varying Contraction Level for Myoelectric Control Based on Muscle Coordination. He J; Zhang D; Sheng X; Li S; Zhu X IEEE J Biomed Health Inform; 2015 May; 19(3):874-82. PubMed ID: 25014975 [TBL] [Abstract][Full Text] [Related]
39. Estimation of muscle strength during motion recognition using multichannel surface EMG signals. Nagata K; Nakano T; Magatani K; Yamada M Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():351-4. PubMed ID: 19162665 [TBL] [Abstract][Full Text] [Related]
40. Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features. Khushaba RN; Takruri M; Miro JV; Kodagoda S Neural Netw; 2014 Jul; 55():42-58. PubMed ID: 24721224 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]