Evaluation of the effectiveness of PCA and ICA in improving muscle movement recognition from raw EMG signals
In the last decade, the development of classification models through machine learning for the control of multifunctional prosthetic devices has been increasing. Electromyography (EMG) are recordings produced by muscle fibers naturally when performing movements; if modeled, they could play a more act...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Online |
| Språk: | spa |
| Publicerad: |
Universidad Autónoma de Baja California
2023
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| Länkar: | https://recit.uabc.mx/index.php/revista/article/view/318 |
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