Personalised Quantitative Upper Extremity Assessment for Stroke Rehabilitation

Project Information

Rehab-Assessment

Grant agreement ID: 101023097

DOI

10.3030/101023097

Project closed

EC signature date 4 March 2021

Start date 1 January 2022

End date 27 February 2024

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 212 933,76

EU contribution

€ 212 933,76

Coordinated by

UNIVERSITY OF LEEDS
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (3)

Boosting personalised musculoskeletal modelling with physics-informed knowledge transfer

Author(s): Jie Zhang, Yihui Zhao, Tianzhe Bao, Zhenhong Li, Kun Qian, Alejandro F. Frangi, Sheng Quan Xie, Zhi-Qiang Zhang
Published in: IEEE Transactions on Instrumentation and Measurement, 2022, ISSN 0018-9456
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tim.2022.3227604

Physics-informed deep learning for musculoskeletal modelling: Predicting muscle forces and joint kinematics from surface EMG

Author(s): Jie Zhang, Yihui Zhao, Fergus Shone, Zhenhong Li, Alejandro F. Frangi, Shengquan Xie, Zhiqiang Zhang
Published in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, ISSN 1534-4320
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsre.2022.3226860

Toward Robust and Efficient Musculoskeletal Modeling Using Distributed Physics-Informed Deep Learning

Author(s): Jie Zhang, Ziling Ruan, Qing Li, Zhi-Qiang Zhang
Published in: IEEE Transactions on Instrumentation and Measurement, 2023, ISSN 0018-9456
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tim.2023.3325522