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Rana Zia Ur Rehman
Rana Zia Ur Rehman
Data Scientist in Data Science AI and Digital Health at The Janssen
Verified email at its.jnj.com - Homepage
Title
Cited by
Cited by
Year
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
1782019
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), 17269, 2019
1312019
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), 16349, 2018
812018
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
602020
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
452019
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
442019
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
382020
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
312020
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
262020
Predicting the Progression of Parkinson’s Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning
RZU Rehman, L Rochester, AJ Yarnall, S Del Din
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
172021
Investigating the impact of environment and data aggregation by walking bout duration on Parkinson’s disease classification using machine learning
RZU Rehman, Y Guan, JQ Shi, L Alcock, AJ Yarnall, L Rochester, ...
Frontiers in aging neuroscience 14, 808518, 2022
162022
Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: a pilot study
E Antikainen, H Njoum, J Kudelka, D Branco, RZU Rehman, V Macrae, ...
Frontiers in Physiology 13, 968185, 2022
122022
The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review
GL Bate, C Kirk, RZU Rehman, Y Guan, AJ Yarnall, S Del Din, RA Lawson
Sensors 23 (10), 4881, 2023
72023
Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back
MK MacLean, RZU Rehman, N Kerse, L Taylor, L Rochester, S Del Din
Sensors 23 (21), 8973, 2023
42023
Walking is Associated With Physical Capacity and Fatigue but not Cognition in Long-Term Care Residents
LM Taylor, S Lord, J Parsons, SA Moyes, RZU Rehman, C Buckley, ...
Journal of the American Medical Directors Association 23 (11), e1-e2, 2022
32022
Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson’s Disease?
C Kirk, R Zia Ur Rehman, B Galna, L Alcock, S Ranciati, L Palmerini, ...
Journal of Parkinson's Disease, 1-11, 2023
22023
Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability
C Hinchliffe, RZU Rehman, D Branco, D Jackson, T Ahmaniemi, ...
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
22023
Usability evaluations of a newly developed wearable inertial sensing system for assessing elderly fall risk
RZU Rehman, J Jang, S Xiong
Advances in Physical Ergonomics & Human Factors: Proceedings of the AHFE …, 2019
22019
Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility study
C Hinchliffe, RZU Rehman, C Pinaud, D Branco, D Jackson, T Ahmaniemi, ...
Journal of NeuroEngineering and Rehabilitation 21 (1), 94, 2024
12024
A study protocol to investigate if acipimox improves muscle function and sarcopenia: an open-label, uncontrolled, before-and-after experimental medicine feasibility study in …
C McDonald, C Alderson, MG Birkbeck, L Brown, S Del Din, GG Gorman, ...
BMJ Open 14 (2), e076518, 2024
12024
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