Author

Ethan Eddy

University of New BrunswickORCID 0000-0002-8392-3729Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Erik SchemeiD· 1 shared Evan CampbelliD· 1 shared Scott BatemaniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Erik SchemeORCID

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1 paper

Recent·Most cited

NeuroscienceFrontiers in Bioengineering and BiotechnologyPeer-reviewedSep 23, 2024

Big Data in Myoelectric Control: LargeMulti-User Models Enable Robust Zero-ShotEMG-based Discrete Gesture Recognition

Ethan Eddy, Evan Campbell, Scott Bateman, Erik Scheme

This paper demonstrates that large-scale EMG datasets enable zero-shot cross-user myoelectric control with high accuracy, challenging the need for user-specific models.

22 citations

electronic health recordsmachine learning (classical)

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