Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance

Research article (IEEE Signal Processing Magazine, 2021) · cited 27× · AI/ML
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Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance

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Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-for-the-control-of-prosthetic-arms-using-electromyographic-signals-for-improved-performance
MLA “Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-for-the-control-of-prosthetic-arms-using-electromyographic-signals-for-improved-performance.
BibTeX @misc{4ortxyz_machine-learning-for-the-control-of-prosthetic-arms-using-electromyographic-signals-for-improved-performance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-for-the-control-of-prosthetic-arms-using-electromyographic-signals-for-improved-performance}, note = {Accessed: 2026-05-24}}
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