Author

S. F. F. Atashzar

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

Frequent Co-Authors

A. Del Vecchio· 1 shared D. Farina· 1 shared E. Tyacke· 1 shared J. Ibanez· 1 shared J. Patel· 1 shared J. Rizzo· 1 shared N. Feng· 1 shared N. Mrachacz-Kersting· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

A. Del Vecchio

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2 papers

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

Hand Gesture Prediction via Transient-phase sEMG using Transfer Learning of Dilated Efficient CapsNet: Towards Generalization for Neurorobotics

E. Tyacke, S. P. J. Reddy, N. Feng, R. Edlabadkar, S. Zhou, J. Patel, Q. Hu, S. F. F. Atashzar

This paper proposes a dilated efficient capsular neural network with transfer learning for hand gesture prediction using sEMG signals, showing improved performance with limited individual data.

bioRxiv · Feb 25, 2022 · PreprintBioengineering