Researcher

    Philippe Dixon , Ph.D.

    philippe.dixon@umontreal.ca
    Philippe Dixon
    Research Axis
    Musculoskeletal Health, Rehabilitation and Medical Technologies Axis
    Research Theme
    Pediatric rehabilitation and sports medicine
    Address
    CRME

    Title

    • Assistant Professor, School of Kinesiology and Physical Education Sciences, Faculty of Medicine, University of Montreal, 2020
    • Researcher, Centre de réadaptation Marie-Enfant - CHU Sainte-Justine, 2020

    Laboratoiry

    Member of the laboratoire d’analyse de la marche du Centre de Réadaptation Marie-Enfant

    Education

    • Postdoctoral fellowship, Harvard T.H. Chan School of Public Health, 2017
    • Doctor of Philosophy, Engineering Science, University of Oxford, 2015
    • Master’s of Science, Kinesiology, McGill University, 2008

    Research Interests

    My research focuses on the analysis of human movements, such as walking, using motion capture systems and wearable devices with the aim of improving the health and mobility of populations with musculoskeletal disorders. I am also very active in the application of machine learning techniques for the detection and prediction of physiological events and states as well as in the development of software for data analysis.

    Research Topics

    • Gait
    • Wearable sensors
    • Motion analysis
    • Machine learning
    • Cerebral palsy
    • Musculoskeletal health

    Career Summary

    Philippe Dixon possesses  extensive experience in data analysis and modelling of human movement across different populations, including children with musculo-skeletal deficiencies.

    Over the years, he has worked internationally, in clinical settings, for industry, and in academic institutions, developing a proven ability for research, problem solving, and collaboration within multidisciplinary teams.

    Awards and Distinctions

    • Liberty Mutual Research Institute Fellowship Award (2015.2016)
    • Gustav Born Biomedical Sciences Award, St Peter’s College, Oxford (2013, 2014)
    • Canadian Centennial Scholarship Award (2012)
    • Golden Key International Honour Society Biomedical Award (2008)

    Financements majeurs

    • Natural Sciences and Engineering Research Council of Canada Alliance COVID-19 Grant (2020-present)
    • Fonds de recherche du Québec – Santé Post-Doctoral Training Award (2015–2017)
    • Fonds de recherche du Québec – Santé Doctoral Scholarship (2014-2015)
    • Natural Sciences and Engineering Research Council of Canada Doctoral Scholarship (2011–2014)

    Presentations

    • Ippersiel P, Robbins SM, Dixon PC. Lower-limb coordination during gait: The effects of age and walking surface. European Society of Movement Analysis in Adults and Children. Virtual, Sept 17, 2020.
    • Dixon PC, Taylor MJD, Smith T, Jacobs JV, Dennerlein JT, Schiffman JM. Effect of walking surface and late-cueing on turn strategy preferences in older adults. World Congress of Biomechanics. Dublin, Ireland. Jul 8–12, 2018.33.
    • Dixon PC, Stebbins J, Theologis T, Zavatsky, AB. Analysis of turning kinematics for the assessment of gait in children with cerebral palsy. International Society of Biomechanics. Glasgow, Scotland. Jul 12–16 2015.39.

    Publications

    1. Dixon PC, Schütte, Vanwanseele B, Jacobs JV, Dennerlein JT, Schiffman JM, Fournier P-A, Hu B. Machine learning algorithms can classify outdoor terrain types during running using accelerometry data. Gait and Posture. 2019, 74:176-181.
    2. Hu B, Dixon PC, Jacobs JV, Dennerlein JT, Schiffman JM. Machine learning algorithms based on signals from a single wearable inertia sensor can detect surface- and age-related differences in walking. J Biomech, Apr 2018.
    3. Dixon PC, Schütte KH, Vanwanseele B, Jacobs JV, Dennerlein JT, Schiffman JM. Gait adaptations of older adults on an uneven brick surface can be predicted by age-related physiological changes in strength. Gait Posture. 2018. 61:257-26.
    4. Dixon PC, Loh JJ, Michaud-Paquette Y, Pearsall DJ. biomechZoo: An open-source toolbox for the processing, analysis, and visualization of biomechanical movement data. Computer Methods and Programs in Biomedicine. 2017. 140:1-10.
    5. Kothari A, Dixon PC, Stebbins J, Zavatsky AB, Theologis T. Are flexible flat feet associated with proximal joint problems in children? Gait Posture. 2016. 45:204-210
    6. Dixon PC, Stebbins J, Theologis T, Zavatsky AB. The use of turning tasks in clinical gait analysis for children with cerebral palsy. Clin Biomech. 2016. 32:286-294.
    7. Dixon PC, Jansen K, Jonkers I, Stebbins J, Theologis T, Zavatsky AB. Muscle contributions to centre of mass acceleration during turning gait in typically developing children: A simulation study. J Biomech. 2015. 48(16): 4238-4245
    8. Dixon PC, Bowtell MV, Stebbins J. The use of regression and normalisation for the comparison of spatio-temporal gait data in children. Gait Posture. 2014. 40(4): 521–525
    9. Dixon PC, Stebbins J, Theologis T, Zavatsky AB. The spatio-temporal and kinematics of turning in typically developing children. Gait Posture. 2013. 38(4): 870–875
    10. Dixon PC, Böhm H, Döderlein L. Ankle and midfoot kinetics during gait: A multisegment approach. J Biomech. 2012. 45(6): 1011–1016
 

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