Ezio Preatoni, FHEA

Senior Lecturer, Department for Health
Sports Injury Prevention Group

https://orcid.org/0000-0001-5383-7072

Phone+44 (0) 1225 383959
EmailE.Preatoni@bath.ac.uk
Websitehttp://www.bath.ac.uk/health/staff/ezio-preatoni/

STV 1.301

Accepting Doctoral Students

Research output per year

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Personal profile

Research interests

Analysis of how human movement, movement coordiantion and their variability relate with performance, motor skills, skills acquisition and injury, carried out through conventional and dynamical systems approaches.

Integrated assessment of neuro-motor skills and motor learning/adaptation to understand injury mechanism and promote injury prevention strategies.

Biomechanics of (sports) movements (e.g. rugby, race walking, jumping, weightlifting) for performance evaluation and injury prevention.

Footwear biomechanics.

Functional assessment of human motion in clinics, ergonomics and sport.

Health technologies.

Education/Academic qualification

Biomedical Engineering, Master of Engineering, Politecnico di Milano

Award Date: 16 Oct 2003

Bioengineering, Doctor of Engineering, Politecnico di Milano

2004 → 2007

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3 Active
14 Finished

Institute for Mathematical Innovation (IMI) secondment - Estimating physiological factors of running performance from changes in running technique
Preatoni, E.
1/09/20 → 31/08/21
Project: Other
Understanding energetics and biomechanics of running performance via wearable technologies
Preatoni, E., Cazzola, D., Trewartha, G. & Rodriguez Rivadulla, A.
1/01/19 → 31/12/21
Project: UK industry
International Research Partnership Award
Trewartha, G., Preatoni, E. & McGuigan, P.
1/02/14 → …
Project: Research-related funding
Subject-specific modelling of the cervical spine and neck muscles for injury prevention applications.
Cazzola, D., Gill, R., Preatoni, E., Silvestros, P. & Lloyd, D.
1/02/19 → 1/07/19
Project: Research-related funding
Fellowship for James Fletcher - Optimal surgical techniques to reduce screw failure in fragility fractures
Fletcher, J. & Preatoni, E.
Royal College of Surgeons of
14/09/18 → 13/09/19
Project: UK charity

65 Conference contribution
35 Article
14 Abstract
11 Meeting abstract
30 More

Athletic groin pain patients and healthy athletes demonstrate consistency in their movement strategy selection when performing multiple repetitions of a change of direction test
Rivadulla, A. R., Gore, S., Preatoni, E. & Richter, C., 1 May 2020, In : Journal of Science and Medicine in Sport. 23, 5, p. 442-447 6 p.
Research output: Contribution to journal › Article
Hip-knee coupling in rugby place kicking at three different distances
Roger-Lund, E., Preatoni, E., Cockcroft, J., van den Heever, D. & Venter, R., 20 Jul 2020, ISBS Proceedings Archive. International Society of Biomechanics (ISB), Vol. 38, Issue 1. 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
7 Downloads (Pure)
Stripping torques in human bone can be reliably predicted prior to screw insertion with optimum tightness being found between 70% and 80% of the maximum
Fletcher, J., Zderic, I., Gueorguiev, B., Richards, R. G., Gill, R., Whitehouse, M. & Preatoni, E., 31 Aug 2020, In : Bone and Joint Research. 9, 8, p. 493-500 8 p.
Research output: Contribution to journal › Article

Open Access
1 Citation (Scopus)
Supervised machine learning applied to wearable sensor data can accurately classify functional fitness exercises within a continuous workout
Preatoni, E., Nodari, S. & Lopomo, N., 7 Jul 2020, In : Frontiers in Bioengineering and Biotechnology. 8, 664.
Research output: Contribution to journal › Article

Open Access
File
1 Citation (Scopus)

106 Downloads (Pure)
Surgical performance when inserting non-locking screws – a systematic review
Fletcher, J., Wenzel, L., Neumann, V., Richards, R. G., Gueorguiev, B., Gill, H., Preatoni, E. & Whitehouse, M., 31 Jan 2020, In : EFORT Open Reviews. 5, 1, p. 26-36 11 p.
Research output: Contribution to journal › Article

Open Access
4 Citations (Scopus)

Dataset for "Variations in non-locking screw insertion conditions generate unpredictable changes to achieved fixation tightness and stripping rates"
Fletcher, J. (Creator), Neumann, V. (Creator), Wenzel, L. (Creator), Gueorguiev, B. (Creator), Richards, R. G. (Creator), Gill, R. (Creator), Whitehouse, M. R. (Creator) & Preatoni, E. (Creator), University of Bath, 23 Oct 2020
DOI: 10.15125/BATH-00929
Dataset
Dataset for "Stripping torques in human bone can be reliably predicted prior to screw insertion with optimum tightness being found between 70% and 80% of the maximum"
Fletcher, J. (Creator), Zderic, I. (Creator), Gueorguiev, B. (Creator), Richards, R. G. (Creator), Whitehouse, M. R. (Creator), Gill, R. (Creator) & Preatoni, E. (Creator), University of Bath, 21 Aug 2020
DOI: 10.15125/BATH-00755
Dataset
Dataset for "Non-locking screw insertion: no benefit seen if tightness exceeds 80% of the maximum torque"
Fletcher, J. (Creator), Ehrhardt, B. (Creator), MacLeod, A. (Creator), Whitehouse, M. R. (Creator), Gill, R. (Creator) & Preatoni, E. (Creator), University of Bath, 9 Jul 2019
DOI: 10.15125/BATH-00660
Dataset
Data for "Juvenile bovine bone is an appropriate surrogate for normal and reduced density human bone in biomechanical testing"
Fletcher, J. (Creator), Williams, S. (Creator), Whitehouse, M. (Creator), Gill, R. (Project Leader) & Preatoni, E. (Project Leader), University of Bath, 5 Jul 2018
DOI: 10.15125/BATH-00410
Dataset