Dr. Shiva Sharif Bidabadi
Dr. Shiva Sharif Bidabadi
Verified email at curtin.edu.au
Cited by
Cited by
Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system
SS Bidabadi, I Murray, GYF Lee
Biomedical engineering letters 8 (3), 283-290, 2018
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
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
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
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
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
Human Gait Model Development for Objective Analysis of Pre/Post Gait Characteristics Following Lumbar Spine Surgery
S Sharif Bidabadi
Curtin University, 2019
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