Author

Andreas Arkudas

Friedrich-Alexander-Universität Erlangen-NürnbergORCID 0000-0002-2473-5816Unclaimed 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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Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Alessandro Del VecchioiD· 1 shared Bjoern M. EskofieriD· 1 shared Daniela Souza de OliveiraiD· 1 shared Dominik I. BrauniD· 1 shared Marius OßwaldiD· 1 shared Raul SîmpetruiD· 1 shared Thomas Mehari KinfeiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Alessandro Del VecchioORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintJul 29, 2022

Sensing the Full Dynamics of the Human Hand with a Neural Interface and Deep Learning

Raul Sîmpetru, Andreas Arkudas, Dominik I. Braun…·Alessandro Del Vecchio

This paper develops a deep learning method to predict hand kinematics and forces from EMG signals, showing accurate prediction of unseen movements and learned anatomical neural features.

11 citations

humanelectronic health records

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