Author

R. Bighamian

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

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:electrophysiology· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Del Vecchio· 1 shared D. Farina· 1 shared J. Ibanez· 1 shared J. Rizzo· 1 shared N. Mrachacz-Kersting· 1 shared R. O'Keeffe· 1 shared S. F. F. Atashzar· 1 shared S. Y. Shirazi· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioengineering

A. Del Vecchio

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1 paper

Recent·Most cited

Low-frequency motor cortex EEG predicts four levels of rate of change of force during ankle dorsiflexion

R. O'Keeffe, S. Y. Shirazi, A. Del Vecchio, J. Ibanez, N. Mrachacz-Kersting, R. Bighamian, J. Rizzo, D. Farina, S. F. F. Atashzar

This paper uses EEG signals from the motor cortex to classify four levels of force development rate during ankle dorsiflexion with 82% accuracy using time-frequency features.

bioRxiv · Nov 2, 2022 · PreprintBioengineering