890 related articles for article (PubMed ID: 27527511)
1. Role of Muscle Synergies in Real-Time Classification of Upper Limb Motions using Extreme Learning Machines.
Antuvan CW; Bisio F; Marini F; Yen SC; Cambria E; Masia L
J Neuroeng Rehabil; 2016 Aug; 13(1):76. PubMed ID: 27527511
[TBL] [Abstract][Full Text] [Related]
2. Muscle synergies for reliable classification of arm motions using myoelectric interface.
Antuvan CW; Bisio F; Cambria E; Masia L
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():1136-9. PubMed ID: 26736466
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Adaptive myoelectric pattern recognition for arm movement in different positions using advanced online sequential extreme learning machine.
Anam K; Al-Jumaily A
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():900-903. PubMed ID: 28268469
[TBL] [Abstract][Full Text] [Related]
5. Preliminary results of online classification of upper limb motions from around-shoulder muscle activities.
Soma H; Horiuchi Y; Gonzalez J; Yu W
IEEE Int Conf Rehabil Robot; 2011; 2011():5975368. PubMed ID: 22275572
[TBL] [Abstract][Full Text] [Related]
6. Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms.
Jiang Y; Chen C; Zhang X; Chen C; Zhou Y; Ni G; Muh S; Lemos S
Comput Methods Programs Biomed; 2020 Dec; 197():105721. PubMed ID: 32882593
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Improving the Robustness of Myoelectric Pattern Recognition for Upper Limb Prostheses by Covariate Shift Adaptation.
Vidovic MM; Hwang HJ; Amsuss S; Hahne JM; Farina D; Muller KR
IEEE Trans Neural Syst Rehabil Eng; 2016 Sep; 24(9):961-970. PubMed ID: 26513794
[TBL] [Abstract][Full Text] [Related]
10. Lw-CNN-Based Myoelectric Signal Recognition and Real-Time Control of Robotic Arm for Upper-Limb Rehabilitation.
Guo B; Ma Y; Yang J; Wang Z; Zhang X
Comput Intell Neurosci; 2020; 2020():8846021. PubMed ID: 33456452
[TBL] [Abstract][Full Text] [Related]
11. Resolving the effect of wrist position on myoelectric pattern recognition control.
Adewuyi AA; Hargrove LJ; Kuiken TA
J Neuroeng Rehabil; 2017 May; 14(1):39. PubMed ID: 28472991
[TBL] [Abstract][Full Text] [Related]
12. Feature dimensionality reduction for myoelectric pattern recognition: a comparison study of feature selection and feature projection methods.
Liu J
Med Eng Phys; 2014 Dec; 36(12):1716-20. PubMed ID: 25292451
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment.
Kopke JV; Hargrove LJ; Ellis MD
J Neuroeng Rehabil; 2019 Mar; 16(1):35. PubMed ID: 30836971
[TBL] [Abstract][Full Text] [Related]
15. Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control.
Olsson AE; Malešević N; Björkman A; Antfolk C
J Neuroeng Rehabil; 2021 Feb; 18(1):35. PubMed ID: 33588868
[TBL] [Abstract][Full Text] [Related]
16. User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control.
He J; Zhang D; Jiang N; Sheng X; Farina D; Zhu X
J Neural Eng; 2015 Aug; 12(4):046005. PubMed ID: 26028132
[TBL] [Abstract][Full Text] [Related]
17. Detection of movement onset using EMG signals for upper-limb exoskeletons in reaching tasks.
Trigili E; Grazi L; Crea S; Accogli A; Carpaneto J; Micera S; Vitiello N; Panarese A
J Neuroeng Rehabil; 2019 Mar; 16(1):45. PubMed ID: 30922326
[TBL] [Abstract][Full Text] [Related]
18. Sensor Fusion for Myoelectric Control Based on Deep Learning With Recurrent Convolutional Neural Networks.
Wang W; Chen B; Xia P; Hu J; Peng Y
Artif Organs; 2018 Sep; 42(9):E272-E282. PubMed ID: 30003559
[TBL] [Abstract][Full Text] [Related]
19. Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses.
Samuel OW; Li X; Geng Y; Asogbon MG; Fang P; Huang Z; Li G
Comput Biol Med; 2017 Nov; 90():76-87. PubMed ID: 28961473
[TBL] [Abstract][Full Text] [Related]
20. Robustness and Reliability of Synergy-Based Myocontrol of a Multiple Degree of Freedom Robotic Arm.
Lunardini F; Casellato C; d'Avella A; Sanger TD; Pedrocchi A
IEEE Trans Neural Syst Rehabil Eng; 2016 Sep; 24(9):940-950. PubMed ID: 26441423
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
