Author

S. 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

Click to filter author papers

Bioengineering· 6

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:electrophysiology· 6 Research Focus:cell type annotation· 4 Organism:human· 4 Approach:deep learning· 3 Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:clustering· 1

Frequent Co-Authors

R. O'Keeffe· 3 shared S. Mehrdad· 3 shared J. Libby· 2 shared Q. Hu· 2 shared S. Rao· 2 shared T. Sun· 2 shared A. Edwards· 1 shared A. M. Johnson· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioengineering

R. O'Keeffe

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Lower-limb Nonparametric Functional Muscle Network: Test-retest Reliability Analysis

R. O'Keeffe, J. Yang, S. Mehrdad, S. Rao, S. F. Atashzar

This study evaluates the test-retest reliability of non-parametric lower-limb functional muscle networks in healthy subjects for controlled and lightly-controlled tasks.

bioRxiv · Feb 8, 2023Bioengineering

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. Mehrdad, A. Edwards, S. Rao, 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.

bioRxiv · Jan 15, 2023 · PreprintBioengineering

Perilaryngeal Functional Muscle Network in Patients with Vocal Hyperfunction - A Case Study

R. O'Keeffe, Y. Shirazi, S. Mehrdad, T. Crosby, A. M. Johnson, S. F. Atashzar

This paper evaluates functional perilaryngeal muscle networks in three voice disorder patients, finding altered connectivity and asymmetry compared to healthy controls, suggesting asymmetry as a biomarker for vocal hyperfunction.

bioRxiv · Jan 10, 2023 · PreprintBioengineering

Deep Augmentation for Electrode Shift Compensation in Transient High-density sEMG: Towards Application in Neurorobotics

T. Sun, J. Libby, J. Rizzo, S. F. Atashzar

This paper introduces deep data augmentation for transient HD-sEMG to improve gesture prediction and robustness against electrode shift in neurorobotics applications.

bioRxiv · Feb 25, 2022 · PreprintBioengineering

X-MyoNET: Biometric Identification using Deep Processing of Transient Surface Electromyography

Q. Hu, A. Sarmadi, P. Gulati, P. Krishnamurthy, F. Khorrami, S. F. Atashzar

This paper introduces X-MyoNET, a deep learning model that uses transient surface electromyography (sEMG) signals for biometric identification, achieving 74% accuracy with a compact model.

bioRxiv · Nov 30, 2021 · PreprintBioengineering

Deep Heterogeneous Dilation of LSTM for Transient-phase Gesture Prediction through High-density Electromyography: Towards Application in Neurorobotics

T. Sun, Q. Hu, J. Libby, S. F. Atashzar

This paper introduces heterogeneous temporal dilation in LSTM for transient-phase gesture prediction using HD-sEMG, achieving state-of-the-art accuracy, faster training, and better convergence.

bioRxiv · Oct 26, 2021Bioengineering