The sample of sEMG signals recorded for each hand movement from female_1.

The sample of sEMG signals recorded for each hand movement from female_1.

<p>The sample of sEMG signals recorded for each hand movement from female_1.</p>

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Bibliographic Details
Main Author:	Yue Yuan (113839) (author)
Published:	2024
Subjects:	Neuroscience Physiology Biotechnology Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified variational mode decomposition remove redundant features ideal input sources dimensional feature spaces crucial research fields recognize hand movements initial feature space hand recognition still effectively extract components hand movements feature space recognition performance intrinsic components existing research efficiently extract effectively reflect surface electromyogram recent years prosthetic control proposed method paper proposes difficult problem different numbers 8 low 14 %.
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Summary:	<p>The sample of sEMG signals recorded for each hand movement from female_1.</p>

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