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

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

The Achilles tendon (AT) is sensitive to mechanical loading, with appropriate strain improving tissue mechanical and material properties. Estimating free AT strain is currently possible through personalized neuromusculoskeletal (NMSK) modeling; however, this approach is time-consuming and requires e...

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Bibliographic Details
Main Authors: Zhengliang Xia, Daniel Devaprakash, Bradley M. Cornish, Rod S. Barrett, David G. Lloyd, Andrea H. Hams, Claudio Pizzolato
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Long short-term memory (LSTM) neural network
artificial intelligence (AI)
pose estimation
neuromusculoskeletal (NMSK) model
electromyogram (EMG)
Online Access:https://ieeexplore.ieee.org/document/10185125/

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