| Classification of foot drop gait characteristic due to lumbar radiculopathy using machine learning algorithms SS Bidabadi, I Murray, GYF Lee, S Morris, T Tan Gait & posture 71, 234-240, 2019 | 37 | 2019 |
| Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system S Sharif Bidabadi, I Murray, GYF Lee Biomedical engineering letters 8, 283-290, 2018 | 37 | 2018 |
| Validation of thigh angle estimation using inertial measurement unit data against optical motion capture systems N Abhayasinghe, I Murray, S Sharif Bidabadi Sensors 19 (3), 596, 2019 | 22 | 2019 |
| Tracking foot drop recovery following lumbar-spine surgery, applying multiclass gait classification using machine learning techniques S Sharif Bidabadi, T Tan, I Murray, G Lee Sensors 19 (11), 2542, 2019 | 15 | 2019 |
| The application of inertial measurements unit for the clinical evaluation and assessment of gait events S Sharif Bidabadi, I Murray, GYF Lee Journal of Medical Engineering & Technology 41 (8), 612-622, 2017 | 11 | 2017 |
| The clinical application of inertial measurement unit in identification of foot drop symptoms SS Bidabadi, I Murray, GYF Lee 2017 IEEE 15th Student Conference on Research and Development (SCOReD), 183-186, 2017 | 7 | 2017 |
| Human Gait Model Development for Objective Analysis of Pre/Post Gait Characteristics Following Lumbar Spine Surgery S Sharif Bidabadi Curtin University, 2019 | 1 | 2019 |
