Deep Learning for Enhanced Prosthetic Control: Real-Time Motor Intent Decoding for Simultaneous Control of Artificial Limbs
The development of advanced prosthetic devices that can be seamlessly used during an individual’s daily life remains a significant challenge in the field of rehabilitation engineering. This study compares the performance of deep learning architectures to shallow networks in decoding motor...
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Main Authors: | Jan Zbinden (Author), Julia Molin (Author), Max Ortiz-Catalan (Author) |
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Format: | Book |
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IEEE,
2024-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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