Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video-Reference-Cited by-同舟云学术

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Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video

Published:2024 Issue: Volume:32 Page:2070-2077
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Xia Zhengliang¹^ORCID,Cornish Bradley M.¹^ORCID,Devaprakash Daniel¹,Barrett Rod S.¹,Lloyd David G.¹^ORCID,Hams Andrea H.¹^ORCID,Pizzolato Claudio¹^ORCID

Affiliation:

1. Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, the School of Health Sciences and Social Work, and the Advanced Design and Prototyping Technologies Institute (ADaPT), Griffith University, Gold Coast, QLD, Australia

Funder

Wu Tsai Performance Alliance in funding the Digital Athlete–Australia

Australian Research Council

Australasian eResearch Organisations (AeRO) Cloud Grants

Ph.D. Scholarship from Griffith University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7333/10398877/10538305.pdf?arnumber=10538305

Reference64 articles.

1. Towards modern understanding of the Achilles tendon properties in human movement research

2. Cyclic mechanical stimulation rescues achilles tendon from degeneration in a bioreactor system

3. Programmable mechanical stimulation influences tendon homeostasis in a bioreactor system

4. Adaptational responses of the human Achilles tendon by modulation of the applied cyclic strain magnitude

5. Predicting Free Achilles Tendon Strain From Motion Capture Data Using Artificial Intelligence

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