[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117244-en":3,"doc-seo-117244-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117244,2336464648322,"Aria","https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488",8,"Research & Report","Biomechanical Effects of Foot Orthotics - A Machine Learning Approach","Foot orthotics are commonly prescribed to address lower limb conditions, but the biomechanical effects are difficult to interpret because prior studies report conflicting outcomes. This thesis analyzes biomechanical gait data from 20 participants who were prescribed custom foot orthotics. It combines machine learning methods with conventional statistical analyses to evaluate ankle and knee kinematics and kinetics, showing machine learning yields more consistent performance than traditional approaches. The feature interpretability in the summary pipeline supports clinical translation despite sample-size limitations.","Biomechanical Effects of Foot Orthotics: A Machine  \nLearning Approach  \nby  \nJoelle Tiangco  \nA Thesis  \npresented to  \nThe University of Guelph  \nIn partial fulfillment of requirements  \nfor the degree of  \nMaster of Applied Science  \nin  \nEngineering  \n(Collaborative Specialization in Artificial Intelligence)  \nGuelph, Ontario, Canada  \n© Joelle Tiangco, May, 2024  \nAbstract  \nBiomechanical Effects of Foot Orthotics: A Machine Learning Approach  \nJoelle Tiangco Advisors:  \nUniversity of Guelph, 2024 Karen Gordon  \nMichele Oliver  \nFoot orthotics are commonly prescribed to address lower limb conditions, yet understanding their biomechanical effects remains elusive due to conflicting research findings. Traditional statistical methods may overlook subtle changes induced by orthotics, prompting the need for innovative approaches. This study, involving 20 participants prescribed custom foot orthotics, leveraged machine learning alongside conventional statistics to analyze biomechanical gait data. While both methods identified key variables such as ankle and knee kinematics and kinetics, machine learning models consistently outperformed traditional statistics. Moreover, the interpretability of features in the summary machine learning pipeline makes it valuable for clinical applications. Despite limitations in sample size, this study underscores the potential of machine learning in enhancing the understanding and clinical application of foot orthotics. Continued research into machine learning and its potential applications for biomechanical data may offer valuable insights for optimizing orthotic design and prescription practice.  \nAcknowledgements  \nTo my advisors, Dr. Karen Gordon and Dr. Michele Oliver, thankyou for introducing me to the field of biomechanical research and for giving me the opportunity to learn. Academia is a funny thing; it can feel like a never-ending process at times, thank you for pushing me, encouraging me, and showing me that there’s light at the end of the tunnel. To Dr. Andrew Hamilton-Wright, thank you for your constant guidance and support in navigating the landscape of machine learning and for always providing practical and sound advice – you helped make the complicated concepts simple and the difficult tasks possible. To Dr. Bryan Billings, thank you for collaborating with us on this project and for providing your clinical expertise, it was much appreciated. To Dr. Lori Vallis and Dr. Scott Brandon, thank you for supporting me in the recruitment process.  \nTo Nev Pires and the rest of the team at VICON, thankyou for all your support and for always being willing to teach others about your software. To Lindsay Plater, your stats help was invaluable and much appreciated. I know I’m not alone in saying my work would not have been accomplished in this timeline without your expertise. To Dorothy Goettler, thankyou for your wisdom, your humour and your wit – you are a light to others and I’m grateful for everything you do.  \nTo all the participants who volunteered to be a part of this study – thank you. I greatly appreciate your time and efforts; the advancements in research would not be possible without you. To my colleagues and lab mates, who have been on this journey with me, thankyou for all that you have done and for the friends that you are. To Megan Govers, I mean it when I say I would not have made it through grad school without you! Thankyou for showing me the ropes in and out of lab, for being the best person to bounce ideas off of, and for being a role model in terms of work ethic and the way you approach challenges and people with constant kindness and grace. I count myself lucky to have you as a friend. To Pippa Kolking, I am beyond grateful that we found each other that one Saturday in lab! Thank you for your endless hours of support during data collection and for always having a smile on your face –  \nyour positive energy was contagious- it made the long nights of data collection infinitely ","cbCaiv4vDwo93hxz","https://ap.wps.com/l/cbCaiv4vDwo93hxz","pdf",2623284,1,87,"English","en",105,"# Chapter 1: Introduction\n## 1.1. Problem Statement\n## 1.2. Research Objectives\n# Chapter 2: Literature Review\n## 2.1. Fundamentals of Foot Mechanics\n## 2.1.1 Foot Anatomy\n## 2.1.2 Phases of the Gait Cycle\n## 2.1.3 Foot Motion in Stance Phase","[{\"question\":\"Why are biomechanical effects of foot orthotics difficult to understand?\",\"answer\":\"Research findings are often conflicting, making subtle orthotic-induced changes hard to detect using conventional approaches.\"},{\"question\":\"How does the thesis analyze the impact of foot orthotics?\",\"answer\":\"It uses 20 participants with custom foot orthotics and analyzes biomechanical gait data using both machine learning models and conventional statistical methods.\"},{\"question\":\"What key outcomes does the study focus on?\",\"answer\":\"It evaluates variables including ankle and knee kinematics and kinetics, and finds that machine learning models outperform traditional statistics consistently.\"}]","Biomechanical Effects of Foot Orthotics - A Machine Learning Approach | PDF",1785674640,219,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"biomechanical-effects-of-foot-orthotics-a-machine-learning-approach","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/biomechanical-effects-of-foot-orthotics-a-machine-learning-approach/117244/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why are biomechanical effects of foot orthotics difficult to understand?","Question",{"text":75,"@type":76},"Research findings are often conflicting, making subtle orthotic-induced changes hard to detect using conventional approaches.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the thesis analyze the impact of foot orthotics?",{"text":80,"@type":76},"It uses 20 participants with custom foot orthotics and analyzes biomechanical gait data using both machine learning models and conventional statistical methods.",{"name":82,"@type":73,"acceptedAnswer":83},"What key outcomes does the study focus on?",{"text":84,"@type":76},"It evaluates variables including ankle and knee kinematics and kinetics, and finds that machine learning models outperform traditional statistics consistently.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]