Myoelectric signal processing: Optimal estimation applied to electromyography—Part II: Experimental demonstration of optimal myoprocessor performance
Abstract
This paper (Part II of two) presents an experimental demonstration of the performance achieved by implementing the mathematically derived optimal myoprocessor described in Part I. Almost an order-of-magnitude improvement over the common myoprocessor is obtained. Excellent agreement of the experimental results with the analytical predictions verifies the mathematical analysis. The relative contributions of each stage of the optimal myoprocessor are examined. A discussion and comparison of several existing and proposed techniques for myoprocessor improvement are presented.
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The frequency range of the input sine wave signals used in the performance tests (10-210 Hz) spans much of the relevant range of EEG, ECG, and EMG signals.
“Hence, the frequency range of the input sine wave signals used in our performance tests spans much of the relevant range of these three common bioelectric signals.”
From Comparison between Two Time Synchronization and Data Alignment Methods for Multi-Channel Wearable Biosensor Systems Using BLE Protocol (2023) · cites this paper as [36]
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Control of upper limb prostheses: terminology and proportional myoelectric control-a review
Fougner, A., Stavdahl, Ø., Kyberd, P. J., Losier, Y. G., & Parker, P. A. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2196711 · Cited by 495 · see citing works
EMG feature evaluation for movement control of upper extremity prostheses
Zardoshti-Kermani, M., Wheeler, B. C., Badie, K., & Hashemi, R. M. (1995) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.481972 · Cited by 477 · see citing works
Wang, H., Li, J., McDonald, B. E., Farrell, T. R., Huang, X., & Clancy, E. A. (2023) · Sensors · doi:10.3390/s23052465 · Cited by 18 · see citing works
- Authors
- Hogan, N., & Mann, R. W.
- Affiliations
- Massachusetts Institute of Technology (US)
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1980-07
- Volume
- BME-27
- Issue
- 7
- Pages
- 396-410
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2124211208
- Cited by
- 126
- References
- 0
- Citations by year
- 2024: 2 · 2023: 4 · 2022: 2 · 2021: 5 · 2020: 4 · 2019: 6 · 2018: 5 · 2017: 3 · 2016: 7 · 2015: 4 · 2014: 2 · 2013: 4 · 2012: 3
- FWCI
- 2.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- myoelectric signal processing, electromyography, signal denoising
- MeSH terms
- Amputees, Electric Stimulation, Electromyography, Humans, Muscles
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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