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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning

Lookup NU author(s): Chiara CarissimoORCiD, Heloise Debelle, Emma Packer, Professor Alison YarnallORCiD, Professor Lynn RochesterORCiD, Dr Lisa AlcockORCiD, Dr Silvia Del DinORCiD

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2023.

For re-use rights please refer to the publisher's terms and conditions.

Publication metadata

Author(s): Carissimo C, Cerro G, Debelle H, Packer E, Yarnall AJ, Rochester L, Alcock L, Ferrigno L, Marino A, Di Libero T, Del Din S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE International Symposium on Medical Measurements and Applications (MeMeA 2023)

Year of Conference: 2023

Pages: 1-6

Online publication date: 10/07/2023

Acceptance date: 13/03/2023

Date deposited: 27/03/2023

Publisher: IEEE

URL: https://doi.org/10.1109/MeMeA57477.2023.10171868

DOI: 10.1109/MeMeA57477.2023.10171868

ePrints DOI: 10.57711/etxd-hm04

Library holdings: Search Newcastle University Library for this item

ISBN: 9781665493840

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