Quantifying lumbar–pelvis coordination during gait using a modified vector coding technique von Needham, Robert, Naemi, Roozbeh, Chockalingam, Nachiappan

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An Analytical Model to Predict Foot Sole Temperature: Implications to Insole Design for Physical Activity in Sport and Exercise von Nemati, Hossain, Naemi, Roozbeh

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Efficacy of outcome prediction of the respiratory ECMO survival prediction score and the predicting death for severe ARDS on VV-ECMO score for patients with acute respiratory distr... von Majithia-Beet, Gavin, Naemi, Roozbeh, Issitt, Richard

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The Role of Cutaneous Microcirculatory Responses in Tissue Injury, Inflammation and Repair at the Foot in Diabetes von Balasubramanian, Gayathri Victoria, Chockalingam, Nachiappan, Naemi, Roozbeh

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A Synoptic Overview of Neurovascular Interactions in the Foot von Balasubramanian, Gayathri, Vas, Prashanth, Chockalingam, Nachiappan, Naemi, Roozbeh

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The relationship between arch height and foot length: Implications for size grading von Hill, Matthew, Naemi, Roozbeh, Branthwaite, Helen, Chockalingam, Nachiappan

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Can Deep Learning Wound Segmentation Algorithms Developed for a Dataset Be Effective for Another Dataset? A Specific Focus on Diabetic Foot Ulcers von Lucho, Stuardo, Naemi, Roozbeh, Castaneda, Benjamin, Treuillet, Sylvie

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The Effect of Dimple Insole Design on the Plantar Temperature and Pressure in People with Diabetes and in Healthy Individuals von Zequera, Martha, Almenar-Arasanz, Alejandro J, Alfaro-Santafé, Javier, Allan, David, Anaya, Andrés, Cubides, Mauricio, Rodríguez, Natalia, Salazar, Cesar, Naemi, Roozbeh

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A quantitative comparison of plantar soft tissue strainability distribution and homogeneity between ulcerated and non-ulcerated patients using ultrasound strain elastography von Patwari, Mayank, Chatzistergos, Panagiotis, Sundar, Lakshmi, Chockalingam, Nachiappan, Ramachandran, Ambadi, Naemi, Roozbeh

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Can the Plantar Pressure and Temperature Data Trend Show the Presence of Diabetes? A Comparative Study of a Variety of Machine Learning Techniques von Gerlein, Eduardo A, Calderón, Francisco, Zequera-Díaz, Martha, Naemi, Roozbeh

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What characteristics are most important in stratifying patients into groups with different risk of diabetic foot ulceration? von Naemi, Roozbeh, Chockalingam, Nachiappan, Lutale, Janet K, Abbas, Zulfiqarali G

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THE FEASIBILITY OF PREOPERATIVE HIGH- INTENSITY EXERCISE FOR PATIENTS WITH OPERABLE LUNG CANCER: A SERVICE EVALUATION OF AN ESTABLISHED CARDIAC REHABILITATION PROGRAMME von Sonya Lockett, Roozbeh Naemi, Angela Priestman, Shinobu Minegishi

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Can Machine Learning Predict Running Kinematics Based on Upper Trunk GPS-Based IMU Acceleration? A Novel Method of Conducting Biomechanical Analysis in the Field Using Artificial N... von Lawson, Michael, Naemi, Roozbeh, Needham, Robert A., Chockalingam, Nachiappan

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The Effects of Running Kinematics on Peak Upper Trunk GPS-Measured Accelerations during Foot Contact at Different Running Speeds von Lawson, Michael, Naemi, Roozbeh, Needham, Robert A, Chockalingam, Nachiappan

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A clinically applicable non-invasive method to quantitatively assess the visco-hyperelastic properties of human heel pad, implications for assessing the risk of mechanical trauma von Behforootan, Sara, Chatzistergos, Panagiotis E., Chockalingam, Nachiappan, Naemi, Roozbeh

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The accuracy of first metatarsophalangeal joint palpation guided injections. An arthrography cadaveric study von Reilly, Ian, Chockalingam, Nachiappan, Naemi, Roozbeh

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Comparison of Spine–Pelvis Kinematics Variability during Sit-to-Stand and Stand-to-Sit in People with & without Chronic Low Back Pain: A Vector Coding and Statistical Parametric Ma... von Jangjoo, Narges, Alijanpour, Elham, Khodabakhsh, Saeid, Shojaedin, Seyed Sadredin, Naemi, Roozbeh

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Predicting the risk of amputation and death in patients with diabetic foot ulcer. A long‐term prospective cohort study of patients in Tanzania von Abbas, Zulfiqarali G., Chockalingam, Nachiappan, Lutale, Janet K., Naemi, Roozbeh

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A Novel Method for Field Measurement of Ankle Joint Stiffness in Hopping von Ghorbani Faal, Sanubar, Shirzad, Elham, Sharifnezhad, Ali, Ashrostaghi, Mojtaba, Naemi, Roozbeh

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An investigation into when and how to train medical students for the most effective learning of non-technical skills: A qualitative study von Riaz, Salman, Naemi, Roozbeh

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