Rana Zia Ur Rehman
Rana Zia Ur Rehman
Marie Sklodowska-Curie ITN Fellow, Research Assistant, PhD Candidate, Newcastle University, United
Verified email at newcastle.ac.uk - Homepage
Cited by
Cited by
The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control
C Buckley, L Alcock, R McArdle, RZU Rehman, S Del Din, C Mazzà, ...
Brain Sciences 9 (2), 34, 2019
Application of wearable inertial sensors and a new test battery for distinguishing retrospective fallers from non-fallers among community-dwelling older people
H Qiu, RZU Rehman, X Yu, S Xiong
Scientific reports 8 (1), 1-10, 2018
Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach
RZU Rehman, S Del Din, Y Guan, AJ Yarnall, JQ Shi, L Rochester
Scientific Reports 9 (1), 1-12, 2019
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson’s Disease
RZU Rehman, S Del Din, JQ Shi, B Galna, S Lord, AJ Yarnall, Y Guan, ...
Sensors 19 (24), 5363, 2019
Deep Learning Techniques for Improving Digital Gait Segmentation
M Gadaleta, G Cisotto, M Rossi, RZU Rehman, L Rochester, S Del Din
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?
RZU Rehman, C Buckley, ME Micó-Amigo, C Kirk, M Dunne-Willows, ...
IEEE Open Journal of Engineering in Medicine and Biology 1, 65-73, 2020
Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson’s Disease
RZU Rehman, P Klocke, S Hryniv, B Galna, L Rochester, S Del Din, ...
Sensors 20 (18), 5377, 2020
Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device
Y Zhou, R Zia Ur Rehman, C Hansen, W Maetzler, S Del Din, L Rochester, ...
Sensors 20 (15), 4098, 2020
Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders
RZU Rehman, Y Zhou, S Del Din, L Alcock, C Hansen, Y Guan, ...
Sensors 20 (23), 6992, 2020
Usability Evaluations of a Newly Developed Wearable Inertial Sensing System for Assessing Elderly Fall Risk
RZU Rehman, J Jang, S Xiong
International Conference on Applied Human Factors and Ergonomics, 423-434, 2018
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