The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
The Effects of Electrode Size and Orientation on the Sensitivity of Myoelectric Pattern Recognition Systems to Electrode Shift
Open accessAbstract
Myoelectric pattern recognition systems for prosthesis control are often studied in controlled laboratory settings, but obstacles remain to be addressed before they are clinically viable. One important obstacle is the difficulty of maintaining system usability with socket misalignment. Misalignment inevitably occurs during prosthesis donning and doffing, producing a shift in electrode contact locations. We investigated how the size of the electrode detection surface and the placement of electrode poles (electrode orientation) affected system robustness with electrode shift. Electrodes oriented parallel to muscle fibers outperformed electrodes oriented perpendicular to muscle fibers in both shift and no-shift conditions (p < 0.01). Another finding was the significant difference (p < 0.01) in performance for the direction of electrode shift. Shifts perpendicular to the muscle fibers reduced classification accuracy and real-time controllability much more than shifts parallel to the muscle fibers. Increasing the size of the electrode detection surface was found to help reduce classification accuracy sensitivity to electrode shifts in a direction perpendicular to the muscle fibers but did not improve the real-time controllability of the pattern recognition system. One clinically important result was that a combination of longitudinal and transverse electrodes yielded high controllability with and without electrode shift using only four physical electrode pole locations.
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Cites
A new strategy for multifunction myoelectric control
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Muscles Alive—their functions revealed by electromyography
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A robust, real-time control scheme for multifunction myoelectric control
Englehart, K., & Hudgins, B. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.813539 · Cited by 1,743
Myoelectric control systems—A survey
Asghari Oskoei, M., & Hu, H. (2007) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.07.009 · Cited by 1,244
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Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms
Kuiken, T. A. (2009) · JAMA · doi:10.1001/jama.2009.116 · Cited by 1,089
Self-citationSupport Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb
Oskoei, M. A., & Hu, H. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.919734 · Cited by 829
A wavelet-based continuous classification scheme for multifunction myoelectric control
Englehart, K., Hudgin, B., & Parker, P. A. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.914793 · Cited by 697
Myoelectric signal processing for control of powered limb prostheses
Parker, P., Englehart, K., & Hudgins, B. (2006) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2006.08.006 · Cited by 651
Classification of the myoelectric signal using time-frequency based representations
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Cited by
Farina, D., Jiang, N., Rehbaum, H., Holobar, A., Graimann, B., Dietl, H., & Aszmann, O. C. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2305111 · Cited by 992
Bi, L., Feleke, A. >., & Guan, C. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.02.011 · Cited by 418
Classification of Simultaneous Movements Using Surface EMG Pattern Recognition
Young, A. J., Smith, L. H., Rouse, E. J., & Hargrove, L. J. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2232293 · Cited by 320
Self-citationXu, B., Akhtar, A., Liu, Y., Chen, H., Yeo, W., Park, S. I., Boyce, B., Kim, H., Yu, J., Lai, H., et al. (2016) · Advanced Materials · doi:10.1002/adma.201504155 · Cited by 304
Ortiz-Catalan, M., Brånemark, R., & Håkansson, B. (2013) · Source Code for Biology and Medicine · doi:10.1186/1751-0473-8-11 · Cited by 232
Metadata
- Authors
- Young, A. J., Hargrove, L. J., & Kuiken, T. A.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2011-09
- Volume
- 58
- Issue
- 9
- Pages
- 2537-2544
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W2138967075
- Cited by
- 287
- References
- 34
- FWCI
- 7.11
- Type
- journal article
- Language
- en
- Open access
- green
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- Young, A. J., Hargrove, L. J., & Kuiken, T. A. (2011). The Effects of Electrode Size and Orientation on the Sensitivity of Myoelectric Pattern Recognition Systems to Electrode Shift. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2011.2159216
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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