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3: The Mechanics in Biomechanics: injury risk, performance, AI, ML, and Engineering behind the footwear and wearables you are using with Eric Honert and Emily Matijevich
Manage episode 378093634 series 3513911
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Eric Honert – PhD Vanderbilt University studying Ankle & Foot biomechanics, Post-Doctoral fellowship with Benno Nigg at Univ of Calgary. D1 Tennis Player, Manager biomechanics BOA
Emily Matijevich – PhD Vanderbilt University Evaluation and Design of Non-Invasive, Wearable Musculoskeletal Monitoring Tools for Research, Occupational and Sport Applications, post doc Benno Nigg, currently Director of Biometrics and Applied Research at Orpyx SI sensory insoles
Running shoes and running injuries: mythbusting and a proposal for two new paradigms: ‘preferred movement path’ and ‘comfort filter’. o https://bjsm.bmj.com/content/49/20/1290
- A foot and footwear mechanical power theoretical framework: Towards understanding energy storage and return in running footwear o https://www.sciencedirect.com/science/article/abs/pii/S0021929022002603
- Ankle and foot power in gait analysis: Implications for science, technology and clinical assessment o https://pubmed.ncbi.nlm.nih.gov/29724536/
- Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: Implications for science, sport and wearable tech o https://pubmed.ncbi.nlm.nih.gov/30653510/
- Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running o https://www.sciencedirect.com/science/article/abs/pii/S0167945720305546
- Towards a biomechanical understanding of performance improvement with advanced running shoes o https://www.tandfonline.com/doi/full/10.1080/19424280.2022.2127543
- Shoe feature recommendations for different running levels: A Delphi study
o https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365446/
- A promising wearable solution for the practical and accurate monitoring of low back loading in manual material handling o https://www.mdpi.com/1424-8220/21/2/340
- Estimating Running Ground Reaction Forces from Plantar Pressure during Graded Running o https://pubmed.ncbi.nlm.nih.gov/35591027/
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