Publications by Dr Rana Rehman - ePrints

Browsing publications by Dr Rana Rehman.

Newcastle Authors	Title	Year
Dr Claire McDonald Matt Birkbeck Dr Silvia Del Din Dr Gráinne Gorman Dr Kieren Hollingsworth et al.	A study protocol to investigate if Acipimox improves muscle function and sarcopenia –an open-label, uncontrolled, before-and-after experimental medicine feasibility study in community dwelling older adults.	2024
Dr Chloe Hinchliffe Dr Rana Rehman Dan Jackson Dr Kristen Davies Victoria Macrae et al.	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	2024
Dr Rana Rehman Dr Silvia Del Din	Novel analytics in the management of movement disorders	2024
Dr Cameron Kirk Dr Rana Rehman Dr Brook Galna Dr Lisa Alcock Professor Lynn Rochester et al.	Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson’s Disease?	2023
Dr Chloe Hinchliffe Dr Rana Rehman Dan Jackson Dr Kristen Davies Victoria Macrae et al.	Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability	2023
Gemma Bate Dr Cameron Kirk Dr Rana Rehman Dr Yu Guan Professor Alison Yarnall et al.	The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review	2023
Dr Khalid Abdul Jabbar Dr Javad Sarvestan Dr Rana Rehman Professor Ngaire Kerse Dr Silvia Del Din et al.	Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults	2023
Dr Mhairi MacLean Dr Rana Rehman Professor Lynn Rochester Dr Silvia Del Din	Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back	2023
Dr Rana Rehman Victoria Macrae Dr Kristen Davies Professor Fai Ng	Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study	2022
Dr Rana Rehman Dr Yu Guan Dr Jian Shi Dr Lisa Alcock Professor Alison Yarnall et al.	Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning	2022
Dr Rana Rehman Professor Lynn Rochester Dr Silvia Del Din Professor Ngaire Kerse	Walking is associated with physical capacity and fatigue but not cognition in long-term care residents	2022
Dr Rana Rehman Professor Lynn Rochester Professor Alison Yarnall Dr Silvia Del Din	Predicting the Progression of Parkinson’s Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning.	2021
Dr Rana Rehman Professor Christopher Buckley Dr Encarna Mico Amigo Michael Dunne-Willows Dr Jian Shi et al.	Accelerometry-based digital gait characteristics for classification of Parkinson’s disease: what counts?	2020
Dr Rana Rehman Dr Silvia Del Din Professor Lynn Rochester	Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.	2020
Dr Rana Rehman Dr Silvia Del Din Dr Lisa Alcock Dr Yu Guan Professor Lynn Rochester et al.	Gait Analysis with Wearables can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders	2020
Dr Rana Rehman Philipp Klocke Sofia Hryniv Dr Brook Galna Professor Lynn Rochester et al.	Turning detection during gait: Algorithm validation and influence of sensor location and turning characteristics in the classification of Parkinson’s disease	2020
Dr Rana Rehman Dr Silvia Del Din Dr Jian Shi Dr Brook Galna Professor Alison Yarnall et al.	Comparison of walking protocols and gait assessment systems for machine learning based classification of Parkinson’s disease	2019
Dr Rana Rehman Professor Lynn Rochester Dr Silvia Del Din	Deep Learning Techniques for Improving Digital Gait Segmentation	2019
Dr Rana Rehman Dr Silvia Del Din Dr Yu Guan Professor Alison Yarnall Dr Jian Shi et al.	Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach	2019
Dr Christopher Buckley Dr Lisa Alcock Dr Ríona McArdle Dr Rana Rehman Dr Silvia Del Din et al.	The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control	2019