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Automated Analysis of Medial Gastrocnemius Muscle-Tendon Junction Displacements During Isolated Contractions and Walking Using Deep Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.29.317529Source: DataRank Database

Automated Analysis of Medial Gastrocnemius Muscle-Tendon Junction Displacements During Isolated Contractions and Walking Using Deep Neural Networks is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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Enrichment:Funding (1 grants)OA: greenTopics (26)IDs (PubMed, OpenAlex)

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Authors (3)

Callum J. Funk ORCID,Jason R. Franz ORCID,Rebecca L. Krupenevich ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3089847420

National Institutes of Health

Grant: 3R01AG058615-03S1

Dynamic imaging to guide wearable robotic intervention for enhanced mobility in aging

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/10/01/2020.09.29.317529.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.09.29.317529

repositoryhttps://doi.org/10.1101/2020.09.29.317529

https://dx.doi.org/10.1101/2020.09.29.317529

Fields of Study

Muscle activation and electromyography studiesSports injuries and preventionTendon Structure and Treatment03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Isometric exerciseUltrasoundComputer scienceGastrocnemius muscleTendonArtificial intelligenceTreadmillDeep learningBiomedical engineeringArtificial neural networkPosition (finance)Computer visionPattern recognition (psychology)SimulationAnatomyMedicineSkeletal musclePhysical therapyRadiology