Open Access
| Issue |
E3S Web Conf.
Volume 271, 2021
2021 2nd International Academic Conference on Energy Conservation, Environmental Protection and Energy Science (ICEPE 2021)
|
|
|---|---|---|
| Article Number | 01029 | |
| Number of page(s) | 5 | |
| Section | Energy Development and Utilization and Energy Storage Technology Application | |
| DOI | https://doi.org/10.1051/e3sconf/202127101029 | |
| Published online | 15 June 2021 | |
- C.N. Borich, A. Feinman, M. Bertucco, N.G. Ramsy, and T.D. Sanger. Comparison of speed-accuracy tradeoff between linear and nonlinear filtering algorithms for myocontrol. Journal of Neurophysiology, 2018, 119(6), 2030–2035 [CrossRef] [PubMed] [Google Scholar]
- B.P. Christie, M. Freeberg, W.D. Memberg, et al. Long-term stability of stimulating spiral nerve cuff electrodes on human peripheral nerves. J. NeuroEngineering Rehabil, 2017, 14(70). https://doi.org/10.1186/s12984-017-0285-3 [CrossRef] [Google Scholar]
- D. Farina et al. The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges. In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 22, no. 4, pp. 797809, July 2014, DOI: 10.1109/TNSRE.2014.2305111. [Google Scholar]
- D. Farina, R. Merletti, B. Indino, M. Nazzaro, and M. Pozzo. Surface EMG crosstalk between knee extensor muscles: Experimental and model results. Muscle Nerve, 2002, 26, 681–695. https://doi.org/10.1002/mus.10256 [CrossRef] [PubMed] [Google Scholar]
- C.N. Borish, M. Bertucco, T.D. Sanger. Effect of target distance on controllability for myocontrol. International Journal of Human-Computer Studies, 2020, vol. 140, 102432, https://doi.org/10.1016/j.ijhcs.2020.102432. [CrossRef] [Google Scholar]
- A.J. Young, L.H. Smith, E.J. Rouse, & L.J. Hargrove. A comparison of the real-time controllability of pattern recognition to conventional myoelectric control for discrete and simultaneous movements. Journal of Neuroengineering and Rehabilitation, 2014, 11(5). doi: http://dx.doi.org/10.1186/1743-0003-11-5 [CrossRef] [PubMed] [Google Scholar]
- Y. Yamanoi, Y. Ogiri, R. Kato. EMG-based posture classification using a convolutional neural network for a myoelectric hand. 9. Biomedical Signal Processing and Control, 2020, vol. 55, 101574, https://doi.Org/10.1016/j.bspc.2019.101574. [CrossRef] [Google Scholar]
- M. Siomau and N. Jiang. Myoelectric control of artificial limb inspired by quantum information processing. Published 13 February 2015 The Royal Swedish Academy of Sciences, DOI: 10.1088/0031-8949/90/3/035001 [Google Scholar]
- N. Jiang, I. Vujaklija, H. Rehbaum, B. Graimann and D. Farina, “Is Accurate Mapping of EMG Signals on Kinematics Needed for Precise Online Myoelectric Control?” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 22, no. 3, pp. 549–558, May 2014, DOI: 10.1109/TNSRE.2013.2287383. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.