| 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 | 193 | 2019 |
| 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 | 141 | 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), 16349, 2018 | 82 | 2018 |
| 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 | 60 | 2020 |
| 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 | 48 | 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 | 45 | 2019 |
| 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 | 40 | 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 | 36 | 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 | 26 | 2020 |
| 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 | 21 | 2021 |
| 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 | 18 | 2022 |
| 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 | 14 | 2022 |
| 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 | 13 | 2023 |
| 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 | 4 | 2023 |
| 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 | 3 | 2023 |
| 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 | 3 | 2022 |
| 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 | 2 | 2024 |
| 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 | 2 | 2023 |
| Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults K Abdul Jabbar, J Sarvestan, R Zia Ur Rehman, S Lord, N Kerse, R Teh, ... Sensors 23 (10), 4605, 2023 | 2 | 2023 |
| 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 | 2 | 2019 |
Silvia Del DinReader (Associate Professor), Translational and Clinical Research Institute, Newcastle UniversityPatvirtintas el. paštas ncl.ac.uk
