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

Remodeling of the Achilles tendon (AT) is partly driven by its mechanical environment. AT force can be estimated with neuromusculoskeletal (NMSK) modeling; however, the complex experimental setup required to perform the analyses confines use to the laboratory. We developed task-specific long short-t...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Zhengliang Xia, Bradley M. Cornish, Daniel Devaprakash, Rod S. Barrett, David G. Lloyd, Andrea H. Hams, Claudio Pizzolato
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Schlagworte:
Long short-term memory (LSTM) neural network
artificial intelligence (AI)
pose estimation
neu romusculoskeletal (NMSK) model
Achilles tendon (AT)
rehabilitation
Online-Zugang:https://ieeexplore.ieee.org/document/10538305/
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