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    A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker?

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    Publication date
    2018
    Author
    Williams, S.
    Fang, H.
    Alty, J.
    Qahwaji, Rami S.R.
    Patel, P.
    Graham, C.D.
    Keyword
    Smartphone camera
    Neurological signs
    Parkinson’s disease
    Tremor
    Biomarkers
    Detection
    Rights
    © 2019 Springer. Reproduced in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://doi.org/10.1007/s00415-018-9060-z
    Peer-Reviewed
    Yes
    
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    Abstract
    There are a wide variety of ways to objectively detect neurological signs, but these either require special hard-ware (such as wearable technology) or patient behaviour change (such as engagement with smartphone tasks) [2]. Neither constraint applies to the technology of computer vision, which is the processing of single or multiple camera images by computer to automatically derive useful information. The only equipment involved is ubiquitous: camera and computer.We report a computer vision-enhanced video sequence from a 68-year-old man, diagnosed with idiopathic Parkinson’s disease 2 years previously.
    URI
    http://hdl.handle.net/10454/16891
    Version
    Accepted manuscript
    Citation
    Williams S, Fang H, Alty J, Qahwaji R, Patel P and Graham CD (2018) A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker? [Letter to the Editors]. Journal of Neurology. 265: 3017-3018.
    Link to publisher’s version
    https://doi.org/10.1007/s00415-018-9060-z
    Type
    Article
    Collections
    Engineering and Informatics Publications

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