Author

J. T. Levine

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Bioengineering· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

F. Hug· 1 shared J. L. Pons· 1 shared S. Avrillon· 1 shared S. J. Kim· 1 shared Y. Wen· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioengineering

F. Hug

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1 paper

Recent·Most cited

A deep CNN framework for neural drive estimation from HD-EMG across contraction intensities and joint angles

Y. Wen, S. J. Kim, S. Avrillon, J. T. Levine, F. Hug, J. L. Pons

This paper introduces a deep CNN framework to estimate neural drive from HD-EMG across varying contraction intensities and joint angles, achieving high accuracy without retraining for new conditions.

IEEE Transactions on Neural Systems and Rehabilitation Engineering · Jan 1, 2022Peer-reviewedBioengineering