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.
4. Support vector regression for improved real-time, simultaneous myoelectric control. Ameri A; Kamavuako EN; Scheme EJ; Englehart KB; Parker PA IEEE Trans Neural Syst Rehabil Eng; 2014 Nov; 22(6):1198-209. PubMed ID: 24846649 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Real-time simultaneous and proportional myoelectric control using intramuscular EMG. Smith LH; Kuiken TA; Hargrove LJ J Neural Eng; 2014 Dec; 11(6):066013. PubMed ID: 25394366 [TBL] [Abstract][Full Text] [Related]
7. A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control. Ameri A; Akhaee MA; Scheme E; Englehart K IEEE Trans Neural Syst Rehabil Eng; 2020 Feb; 28(2):370-379. PubMed ID: 31880557 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Multiday Evaluation of Techniques for EMG-Based Classification of Hand Motions. Waris A; Niazi IK; Jamil M; Englehart K; Jensen W; Kamavuako EN IEEE J Biomed Health Inform; 2019 Jul; 23(4):1526-1534. PubMed ID: 30106701 [TBL] [Abstract][Full Text] [Related]
11. Motion Normalized Proportional Control for Improved Pattern Recognition-Based Myoelectric Control. Scheme E; Lock B; Hargrove L; Hill W; Kuruganti U; Englehart K IEEE Trans Neural Syst Rehabil Eng; 2014 Jan; 22(1):149-57. PubMed ID: 23475378 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. On the robustness of real-time myoelectric control investigations: a multiday Fitts' law approach. Waris A; Mendez I; Englehart K; Jensen W; Kamavuako EN J Neural Eng; 2019 Apr; 16(2):026003. PubMed ID: 30524028 [TBL] [Abstract][Full Text] [Related]
14. A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals. Wu H; Huang Q; Wang D; Gao L J Electromyogr Kinesiol; 2018 Oct; 42():136-142. PubMed ID: 30077088 [TBL] [Abstract][Full Text] [Related]
15. Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG. Asif AR; Waris A; Gilani SO; Jamil M; Ashraf H; Shafique M; Niazi IK Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32183473 [TBL] [Abstract][Full Text] [Related]
18. Surface myoelectric signal classification for prostheses control. Al-Assaf Y; Al-Nashash H J Med Eng Technol; 2005; 29(5):203-7. PubMed ID: 16126579 [TBL] [Abstract][Full Text] [Related]
19. Real-Time Task Discrimination for Myoelectric Control Employing Task-Specific Muscle Synergies. Rasool G; Iqbal K; Bouaynaya N; White G IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):98-108. PubMed ID: 25769166 [TBL] [Abstract][Full Text] [Related]
20. Nonlinear mappings between discrete and simultaneous motions to decrease training burden of simultaneous pattern recognition myoelectric control. Ingraham KA; Smith LH; Simon AM; Hargrove LJ Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():1675-8. PubMed ID: 26736598 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]