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Browsing publications by Dr Rana Rehman.

Newcastle AuthorsTitleYearFull text
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 Rana Rehman
Dr Silvia Del Din
Novel analytics in the management of movement disorders2024
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 Variability2023
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 Review2023
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 Adults2023
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 Back2023
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 study2022
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 Learning2022
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 residents2022
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 Disorders2020
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 disease2020
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 disease2019
Dr Rana Rehman
Professor Lynn Rochester
Dr Silvia Del Din
Deep Learning Techniques for Improving Digital Gait Segmentation2019
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 Approach2019
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 control2019