Author

S. Y. Shirazi

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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Research Focus:cell type annotation· 2 Assay:electrophysiology· 2 Organism:human· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

R. O'Keeffe· 2 shared A. Del Vecchio· 1 shared A. Edwards· 1 shared D. Farina· 1 shared J. Ibanez· 1 shared J. Rizzo· 1 shared N. Mrachacz-Kersting· 1 shared R. Bighamian· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioengineering

R. O'Keeffe

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintJan 15, 2023

Linear versus Nonlinear Muscle Networks: A Case Study to Decode Hidden Synergistic Patterns During Dynamic Lower-limb Tasks

R. O'Keeffe, V. Rathod, S. Y. Shirazi…·S. F. Atashzar

This paper compares linear and nonlinear muscle networks during dynamic lower-limb tasks, finding that nonlinear networks better capture synergistic patterns in complex tasks like sit-to-stand.

DOI 10.1101/2023.01.15.524160

humanelectrophysiology

𝕏 PostBluesky

BioengineeringbioRxivPreprintNov 2, 2022

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…·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.

DOI 10.1101/2022.11.02.514949

humanelectrophysiology

𝕏 PostBluesky