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Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance
IEEE Signal Processing Magazine ( IF 9.4 ) Pub Date : 2021-06-29 , DOI: 10.1109/msp.2021.3075931
Ahmed W. Shehata , Heather E. Williams , Jacqueline S. Hebert , Patrick M. Pillarski

The human hand can perform many precise functions and is relied upon for countless aspects of daily life. When upperlimb amputation is necessitated, an affected individual's sense of independence is understandably impacted.

中文翻译:


用于控制假肢的机器学习:使用肌电信号提高性能



人手可以执行许多精确的功能,并且在日常生活的无数方面都依赖于人手。当需要进行上肢截肢时,受影响个体的独立感会受到影响,这是可以理解的。
更新日期:2021-06-29
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