Publications and Presentations

Patterson, Andrew Luke McConnell, "Using Statistics, Computational Modelling and Artificial Intelligence Methods to Study and Strengthen the Link between Kinematic Impacts and mTBIs" (2023). Electronic Thesis and Dissertation Repository. 9176. https://ir.lib.uwo.ca/etd/9176

L. Patterson, E. Potts, Y. Levy and H. Mao, ‘Evaluating Potential Axonal Tract Injury from Head Impacts using Finite Element Models of the Brain’, Oct. 2022. 

L. Patterson, ‘Using Laboratory Impact Testing and Finite Element Modelling to Improve Protective Sports Helmet Designs and Prevent Mild Traumatic Brain Injuries’, in Inspiring Minds – Showcasing Western’s Graduate Research, Scholarship and Creative Activity, 2022. 

Y. Levy, K. Bian, L. Patterson, R. Ouckama and H. Mao, ‘Head Kinematics and Injury Metrics for Laboratory Hockey-Relevant Head Impact Experiments’, Ann Biomed Eng, vol. 49, no. 10, pp. 2914–2923, Oct. 2021, doi: 10.1007/s10439-021-02855-3.

L. Patterson, ‘Improving Protective Sports Helmet Designs to Prevent Against Mild Traumatic Brain Injuries’, in Inspiring Minds – Showcasing Western’s Graduate Research, Scholarship and Creative Activity, Sep. 2021, p. 59. 

L. Patterson, Y. Levy and H. Mao, ‘Applying Machine Learning Principles To The Study Of Mild Traumatic Brain Injury And Brain Strain Metrics’, in Progress in Canadian Mechanical Engineering, vol. 4, Charlottetown PE, Jun. 2021. doi: 10.32393/csme.2021.86. 

L. Patterson, Y. Levy, and H. Mao, ‘Implementing An Artificial Neural Network To Study Brain Strain And Mild Traumatic Brain Injury Metrics’, in Summer Biomechanics, Bioengineering and Biotransport Conference, Jun. 2021, p. 293. 

L. Patterson and H. Mao, ‘Applying Artificial Intelligence Principles To The Study Of Mild Traumatic Brain Injuries And Brain Tissue Strain Metrics’, 2021 London Health Research Day.