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Deep Learning-Based Approaches for Decoding Motor Intent from Peripheral Nerve Signals

2021-02-19

Abstract excerpt

The ultimate goal of an upper-limb neuroprosthesis is to achieve dexterous and intuitive control of individual fingers. Previous literature shows that deep learning (DL) is an effective tool to decode the motor intent from neural signals obtained from different parts of the nervous system. However, it still requires complicated deep neural networks that are inefficient and not feasible to work in real-time. Here w...

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Literature Corpus work
4d06dc64-edc5-5abe-a634-6cb04b04b21b
DOI
10.1101/2021.02.18.431483
Open publication

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Deep Learning-Based Approaches for Decoding Motor Intent from Peripheral Nerve SignalsDOI 10.1101/2021.02.18.431483
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