Author

M. W. Drealan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:electrophysiology· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. T. Nguyen· 2 shared D. K. Luu· 2 shared E. W. Keefer· 2 shared J. Cheng· 2 shared J. Xu· 2 shared M. Jiang· 2 shared Q. Zhao· 2 shared Z. Yang· 2 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioengineering

A. T. Nguyen

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2 papers

Recent·Most cited

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

D. K. Luu, A. T. Nguyen, M. Jiang, J. Xu, M. W. Drealan, J. Cheng, E. W. Keefer, Q. Zhao, Z. Yang

This paper compares deep learning and machine learning approaches for decoding motor intent from nerve signals, finding that deep learning offers better accuracy with large data while machine learning is more efficient with smaller datasets.

bioRxiv · Feb 18, 2021Bioengineering

A Bioelectric Neural Interface Towards Intuitive Prosthetic Control For Amputees

A. T. Nguyen, J. Xu, M. Jiang, D. K. Luu, T. Wu, W.-k. Tam, W. Zhao, M. W. Drealan, C. K. Overstreet, Q. Zhao, J. Cheng, E. W. Keefer, Z. Yang

This paper develops a bioelectric neural interface using implantable electrodes and AI to enable intuitive control of a high-DOF prosthetic hand for amputees.

bioRxiv · Sep 17, 2020Bioengineering