Microvessel Oxidative Stress Predicts Changes in Leg Function of Patients with Peripheral Arterial Disease after Supervised Exercise Therapy by Molly Schieber, Sara A. Myers, Shuai Li, Iraklis I. Pipinos, George Casale

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Ground Reaction Forces and Joint Moments Predict Metabolic Cost in Physical Performance: Harnessing the Power of Artificial Neural Networks by Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti, Prokopios Antonellis, Iraklis I. Pipinos, Sara A. Myers

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Effects of Supervised Exercise Therapy on Muscle Function During Walking in Patients with Peripheral Artery Disease by Cody P. Anderson, Iraklis I. Pipinos, Jason M. Johanning, Sara A. Myers, Hafizur Rahman

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Design and Evaluation of a Bilateral Semi-Rigid Exoskeleton to Assist Hip Motion by Arash Mohammadzadeh Gonabadi, Prokopios Antonellis, Alex C. Dzewaltowski, Sara A. Myers, Iraklis I. Pipinos, Philippe Malcolm

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Machine Learning-Based Peripheral Artery Disease Identification Using Laboratory-Based Gait Data by Ali Al-Ramini, Mahdi Hassan, Farahnaz Fallahtafti, Mohammad Ali Takallou, Hafizur Rahman, Basheer Qolomany, Iraklis I. Pipinos, Fadi Alsaleem, Sara A. Myers

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Trunk Velocity Changes in Response to Physical Perturbations Are Potential Indicators of Gait Stability by Farahnaz Fallahtafti, Sjoerd Bruijn, Arash Mohammadzadeh Gonabadi, Mohammad Sangtarashan, Julie Blaskewicz Boron, Carolin Curtze, Ka-Chun Siu, Sara A. Myers, Jennifer Yentes

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Peripheral artery disease affects the function of the legs of claudicating patients in a diffuse manner irrespective of the segment of the arterial tree primarily involved. by Todd J Leutzinger, Panagiotis Koutakis, Matthew A Fuglestad, Hafizur Rahman, Holly Despiegelaere, Mahdi Hassan, Molly Schieber, Jason M Johanning, Nick Stergiou, G Matthew Longo, George P Casale, Sara A Myers, Iraklis I Pipinos

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