Author

M. Al Borno

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 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

S. Delp· 2 shared A. Habib· 1 shared A. Seth· 1 shared C. Ong· 1 shared J. Dunne· 1 shared J. Hicks· 1 shared J. L. Hicks· 1 shared J. O'Day· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioengineering

S. Delp

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2 papers

Recent·Most cited

OpenSense: An open-source toolbox for Inertial-Measurement-Unit-based measurement of lower extremity kinematics over long durations

M. Al Borno, J. O'Day, V. Ibarra, J. Dunne, A. Seth, A. Habib, C. Ong, J. Hicks, S. Uhlrich, S. Delp

OpenSense estimates lower extremity joint kinematics from IMUs with accuracy comparable to optical motion capture and minimal drift over 10 minutes.

Journal of NeuroEngineering and Rehabilitation · Feb 20, 2022Peer-reviewedBioengineering

The Effects of Motor Modularity on Performance, Generalizability and Learning in Upper-Extremity Reaching: a Computational Analysis

M. Al Borno, J. L. Hicks, S. Delp

This study investigates whether motor synergies improve performance, learning, and generalizability in upper-extremity reaching tasks using a computational model.

bioRxiv · May 7, 2020Physiology