A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker?
no === 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, whic...
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ndltd-BRADFORD-oai-bradscholars.brad.ac.uk-10454-168912019-10-01T03:02:00Z A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker? Williams, S. Fang, H. Alty, J. Qahwaji, Rami S.R. Patel, P. Graham, C.D. Smartphone camera Neurological signs Parkinson’s disease Tremor Biomarkers Detection no 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. 2019-03-14T15:36:41Z 2019-03-14T15:36:41Z 2018 2018-09-14 2018-09-21 Article Accepted manuscript 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. http://hdl.handle.net/10454/16891 en https://doi.org/10.1007/s00415-018-9060-z © 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 |
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en |
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Smartphone camera Neurological signs Parkinson’s disease Tremor Biomarkers Detection |
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Smartphone camera Neurological signs Parkinson’s disease Tremor Biomarkers Detection Williams, S. Fang, H. Alty, J. Qahwaji, Rami S.R. Patel, P. Graham, C.D. A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker? |
description |
no === 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. |
author |
Williams, S. Fang, H. Alty, J. Qahwaji, Rami S.R. Patel, P. Graham, C.D. |
author_facet |
Williams, S. Fang, H. Alty, J. Qahwaji, Rami S.R. Patel, P. Graham, C.D. |
author_sort |
Williams, S. |
title |
A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker? |
title_short |
A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker? |
title_full |
A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker? |
title_fullStr |
A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker? |
title_full_unstemmed |
A smartphone camera reveals an ‘invisible’ Parkinsonian tremor: a potential pre-motor biomarker? |
title_sort |
smartphone camera reveals an ‘invisible’ parkinsonian tremor: a potential pre-motor biomarker? |
publishDate |
2019 |
url |
http://hdl.handle.net/10454/16891 |
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