Projects per year
I am interested in the modelling and simulation of human movement to investigate injury mechanisms and understand human function. I truly believe in the use of predictive models and in silico simulations and their application in clinical settings for improving the monitoring and assessment of musculoskeletal diseases.
My research is focused on the use of an integrated approach that includes in vivo and in vitro experimental methodologies with in silico methods such as musculoskeeltal modelling and finite element analysis.
My current research line includes:
- Injury Biomechanics:
- The analysis of cervical spine injury mechanisms in rugby and horse racing;
- Analsis of hamstring injury in sprint running;
- Clinical Biomechanics:
- Biomechanical assessment and optimised treatment identification in axial Spondyloarthritis;
- Estimation of joint loading in partial gravity situations;
- Sport Biomechanics:
- Biomechanical analysis of rugby and horse racing activities;
- Computer simulation of sprint running;
Willing to supervise doctoral students
Computer simulation and musculoskeletal modelling in injury/sport/clinical biomechanics, ergonomics, and computer simulations.
Postgraduate (PhD and MD) Director of Studies for the Department for Health.
Research Theme Convenor for the Improving Human Function Department for Health research theme.
- Biomechanics of human movement
- Musculoskeletal modelling and computer simulation of human movement
- Spinal biomechanics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Human Physiology, Doctor of Philosophy, University of Milan
Award Date: 20 Dec 2010
Biomedical Engineering, Master of Engineering, Politecnico di Milano
Award Date: 19 Oct 2007
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The Earswitch: NIHR i4i PDA: taking proof-of-concept via co-design and objective technical/ user validation to a user ready assistive technology switch, incorporating wider health and care innovative sensor applications
1/04/22 → 31/03/24
Project: Central government, health and local authorities
21/02/20 → 31/08/23
Project: Research-related funding
10/02/20 → 31/08/23
Project: Research-related funding
Electromyography-Assisted Neuromusculoskeletal Models Can Estimate Physiological Muscle Activations and Joint Moments Across the Neck Before ImpactsSilvestros, P., Pizzolato, C., Lloyd, D. G., Preatoni, E., Gill, H. S. & Cazzola, D., 1 Mar 2022, In: Journal Of Biomechanical Engineering. 144, 3, 031011.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile32 Downloads (Pure)
A novel IMU-based clinical assessment protocol for Axial Spondyloarthritis: A protocol validation studyFranco, L., Sengupta, R., Wade, L. & Cazzola, D., 26 Jan 2021, In: PeerJ. 9, e10623.
Research output: Contribution to journal › Article › peer-reviewOpen Access
Development and validation of FootNet, a new kinematic and deep learning-based algorithm to detect foot-strike and toe-off in treadmill runningRodriguez Rivadulla, A., Chen, X., Weir, G., Cazzola, D., Trewartha, G., Hamill, J. & Preatoni, E., 23 Jun 2021, (Acceptance date) Abstract Book of The 28th Congress of the International Society of Biomechanics. 1 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contributionOpen AccessFile23 Downloads (Pure)
Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill runningRivadulla, A., Chen, X., Weir, G., Cazzola, D., Trewartha, G., Hamill, J. & Preatoni, E., 9 Aug 2021, In: PLoS ONE. 16, 8 August, e0248608.
Research output: Contribution to journal › Review article › peer-reviewOpen Access
EMG-assisted modelling provides physiological neck muscle activation patterns during contact sport eventsSilvestros, P., Pizzolato, C., Lloyd, D., Preatoni, E., Gill, H. S. & Cazzola, D., 1 Apr 2021, (Acceptance date) Proceedings of the 26th Conference of the European Society of Biomechanics (ESB 2021). 1 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contributionOpen AccessFile14 Downloads (Pure)
Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"
Chen, X. (Creator), Weir, G. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator), Hamill, J. (Creator), Preatoni, E. (Creator) & Rodriguez Rivadulla, A. (Creator), University of Bath, 26 Jul 2021