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Browsing publications by Rana Rehman

Newcastle AuthorsTitleYearFull text
Faisal Saleem
Rana Rehman
Ayusha Abbas
Dr Kui Zhang
Professor Adam Harvey
et al.
A comparison of the decomposition of biomass gasification tar compound in CO, CO2, H2 and N2 carrier gases using non-thermal plasma2021
Rana Rehman
Professor Lynn Rochester
Dr 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
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
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
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
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
Rana Rehman
Dr Silvia Del Din
Dr Jian Shi
Dr Brook Galna
Dr Alison Yarnall
et al.
Comparison of walking protocols and gait assessment systems for machine learning based classification of Parkinson’s disease2019
Rana Rehman
Professor Lynn Rochester
Dr Silvia Del Din
Deep Learning Techniques for Improving Digital Gait Segmentation2019
Rana Rehman
Dr Silvia Del Din
Dr Yu Guan
Dr 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 Mc Ardle
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