Author

Kodi Y. Cheng

University of Alberta

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· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:machine learning (classical)· 2 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1

Frequent Co-Authors

Ahmed W. ShehataiD· 2 shared Heather E. WilliamsiD· 2 shared Jacqueline S. HebertiD· 2 shared Patrick M. PilarskiiD· 2 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersNeuroscience

Ahmed W. ShehataORCID

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2 papers

Recent·Most cited

A multifaceted suite of metrics for comparative myoelectric prosthesis controller research

Heather E. Williams, Ahmed W. Shehata, Kodi Y. Cheng, Jacqueline S. Hebert, Patrick M. Pilarski

This paper introduces a new set of evaluation metrics for myoelectric prosthesis controllers and demonstrates their use in comparing deep learning and traditional controllers.

PLoS ONE · May 13, 2024Peer-reviewedNeuroscience

Myoelectric Prosthesis Control using Recurrent Convolutional Neural Network Regression Mitigates the Limb Position Effect

Heather E. Williams, Ahmed W. Shehata, Kodi Y. Cheng, Jacqueline S. Hebert, Patrick M. Pilarski

This paper develops and tests RCNN-based controllers for myoelectric prostheses to mitigate the limb position effect, showing improved performance over traditional methods in multiple metrics.

bioRxiv · Feb 5, 2024 · PreprintBioengineering