All Outputs (2)

What characteristics are most important in stratifying patients into groups with different risk of diabetic foot ulceration? (2024)
Journal Article
Naemi, R., Chockalingam, N., Lutale, J. K., & Abbas, Z. G. (2024). What characteristics are most important in stratifying patients into groups with different risk of diabetic foot ulceration?. Journal of Diabetes Investigation, https://doi.org/10.1111/jdi.14193

Aims/Introduction: This study aimed to assess if patients can be divided into different strata, and to explore if these correspond to the risk of diabetic foot complications. Materials and Methods: A set of 28 demographic, vascular, neurological and... Read More about What characteristics are most important in stratifying patients into groups with different risk of diabetic foot ulceration?.

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 Neural Networks (2024)
Journal Article
Lawson, M., Naemi, R., A. Needham, R., & Chockalingam, N. (2024). 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 Neural Networks. Applied Sciences, 14(5), https://doi.org/10.3390/app14051730

This study aimed to investigate whether running kinematics can be accurately estimated through an artificial neural network (ANN) model containing GPS-based accelerometer variables and anthropometric data. Thirteen male participants with extensive ru... Read More about 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 Neural Networks.