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Advancing human movement evaluation using artificial intelligence

Grant number: FT200100098 | Funding period: 2021 - 2024

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Related publications (4)

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The effectiveness of EMG-driven neuromusculoskeletal model calibration is task dependent.

Azadeh Kian, Claudio Pizzolato, Mark Halaki, Karen Ginn, David Lloyd, Darren Reed, David Ackland

2021-12-02

Calibration of neuromusculoskeletal models using functional tasks is performed to calculate subject-specific musculotendon paramet..

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Glenohumeral joint reconstruction using statistical shape modeling

Yichen Huang, Dale L Robinson, Jonathan Pitocchi, Peter Vee Sin Lee, David C Ackland

2021-11-27

Evaluation of the bony anatomy of the glenohumeral joint is frequently required for surgical planning and subject-specific computa..

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Complications of Reverse Total Shoulder Arthroplasty: A Computational Modelling Perspective

Yichen Huang, Lukas Ernstbrunner, Dale L Robinson, Peter Vee Sin Lee, David C Ackland

2021-11-01

Reverse total shoulder arthroplasty (RTSA) is an established treatment for elderly patients with irreparable rotator cuff tears, c..

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Real-time conversion of inertial measurement unit data to ankle joint angles using deep neural networks

Damith Senanayake, Saman Halgamuge, David C Ackland

2021-07-05

Joint angle quantification from inertial measurement units (IMUs) is commonly performed using kinematic modelling, which depends o..

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David Ackland Biomedical Engineering

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