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SonoMyoNet: A Convolutional Neural Network for Predicting Isometric Force From Highly Sparse Ultrasound Images

IEEE Transactions on Human-Machine Systems(2024)10.1109/thms.2024.3389690Source: DataRank Database

SonoMyoNet: A Convolutional Neural Network for Predicting Isometric Force From Highly Sparse Ultrasound Images is a research paper published in IEEE Transactions on Human-Machine Systems (2024). On theSindex it has a DataRank of 0. It has been cited 8 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access8 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 1.00)OA: greenTopics (19)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Meena Alzamani ORCID,Allison Dockum ORCID,Siddhartha Sikdar ORCID,Biswarup Mukherjee ORCID,Anne Tryphosa Kamatham ORCID

Live enrichment

PubMed:38974222 PMC:PMC11225932 OpenAlex:https://openalex.org/W4396877793

National Institutes of Health

Grant: 1R41NS107149-01A1

Sonomyographic Control of Fiber-Optically Sensorized Prosthetic Fingers for Graded Force Actuation

National Science Foundation

Grant: 1329829

National Science Foundation

Grant: 1646204

Science and Engineering Research Board

Grant: CRG/2021/004967

NIBIB NIH HHS

Grant: U01 EB027601

NINDS NIH HHS

Grant: R41 NS107149

IEEE Instrumentation and Measurement Society Graduate Fellowship Award 2022

Prime Minister's Research Fellowship

FWCI

1.00

Citation Percentile

0.7%

Citation Trend

2024

2025

greenLicense: IEEE Copyright

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11225932/pdf/nihms-1996949.pdf

publisherhttps://ieeexplore.ieee.org/ielam/6221037/10537796/10529644-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6221037/10537796/10529644.pdf?arnumber=10529644

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11225932

Fields of Study

Muscle activation and electromyography studiesElectrical and Bioimpedance TomographyFlow Measurement and Analysis03 medical and health sciences0302 clinical medicine0206 medical engineering02 engineering and technology

Keywords

Isometric exerciseConvolutional neural networkArtificial intelligenceComputer sciencePattern recognition (psychology)UltrasoundMedicineRadiologyInternal medicineForce EstimationSonomyographyConvolutional Neural Networks (Cnns)