S
Samuel Stuart
Researcher at Northumbria University
Publications - 101
Citations - 1516
Samuel Stuart is an academic researcher from Northumbria University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 15, co-authored 71 publications receiving 756 citations. Previous affiliations of Samuel Stuart include Oregon Health & Science University & Veterans Health Administration.
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Journal ArticleDOI
From A to Z: Wearable technology explained
Alan Godfrey,Victoria Hetherington,Hubert P. H. Shum,Paolo Bonato,Nigel H. Lovell,Samuel Stuart +5 more
TL;DR: An overview of the common challenges facing WT and an A-Z guide is presented, focusing on key terms, aiming to provide a grounded and broad understanding of current WT developments in healthcare.
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fNIRS response during walking - Artefact or cortical activity? A systematic review.
TL;DR: There are considerable technical and methodological challenges in conducting fNIRS studies during walking which can introduce inconsistencies in study findings and recommendations are provided for the construction of robust methodologies and signal processing techniques implementing a theoretical framework accounting for the physiology of haemodynamic responses.
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Validity of Mobility Lab (version 2) for gait assessment in young adults, older adults and Parkinson's disease
Rosie Morris,Samuel Stuart,Grace McBarron,Peter C. Fino,Martina Mancini,Martina Mancini,Carolin Curtze +6 more
TL;DR: The aim of this study was to validate the APDM Mobility Lab (ML) system (version 2) against a pressure sensor walkway in younger adults, older adults and people with mild Parkinson's disease in the laboratory and identified that ML provided good to excellent agreement.
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Cortical activity during walking and balance tasks in older adults and in people with Parkinson’s disease: a structured review
TL;DR: This review summarizes study findings, where increased cortical activity appears to be required for older adults and further for participants with PD to perform walking and balance tasks, but specific activation patterns vary with the demands of the particular task.
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Gait analysis in neurological populations: Progression in the use of wearables
TL;DR: The evolution of gait assessment from observation and rating scales to wearable sensors and laboratory technologies is depicted to provide limitations and possible future directions and speculate the possible research directions by revealing the limitations and knowledge gaps in the literature.