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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Citations
Cites
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Self-citationSupport Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb
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A wavelet-based continuous classification scheme for multifunction myoelectric control
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Myoelectric signal processing for control of powered limb prostheses
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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
Samuel, O. W., Asogbon, M. G., Geng, Y., Al-Timemy, A. H., Pirbhulal, S., Ji, N., Chen, S., Fang, P., & Li, G. (2019) · IEEE Access · doi:10.1109/access.2019.2891350 · Cited by 185
Evaluating EMG feature and classifier selection for application to partial-hand prosthesis control
Adewuyi, A. A., Hargrove, L. J., & Kuiken, T. A. (2016) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2016.00015 · Cited by 85
Self-citationVu, P. P., Irwin, Z. T., Bullard, A. J., Ambani, S. W., Sando, I. C., Urbanchek, M. G., Cederna, P. S., & Chestek, C. A. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2772961 · Cited by 61
Leveraging High-Density EMG to Investigate Bipolar Electrode Placement for Gait Prediction Models
Hodossy, B. K., Guez, A. S., Jing, S., Huo, W., Vaidyanathan, R., & Farina, D. (2024) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2024.3371099 · Cited by 10
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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