F64 Wearable technologies for assessment of physical activity in hd: preliminary analysis of movement variability and wear time
F64 Wearable technologies for assessment of physical activity in hd: preliminary analysis of movement variability and wear time
Poile, Vincent
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Youdan, Gregory
64083a9a-369d-41c1-ba35-dc11c99b96cc
Sheeran, Liba
ad753e79-56c8-483f-aae5-dd992496bee2
Quinn, Lori
558cc771-e5cd-49b1-be2a-906076a6126e
Busse, Monica
10b3be78-e6ad-47e0-b315-915d8a6eaa2a
2018
Poile, Vincent
0bce122a-0457-41f5-add0-c1d7d095c394
Youdan, Gregory
64083a9a-369d-41c1-ba35-dc11c99b96cc
Sheeran, Liba
ad753e79-56c8-483f-aae5-dd992496bee2
Quinn, Lori
558cc771-e5cd-49b1-be2a-906076a6126e
Busse, Monica
10b3be78-e6ad-47e0-b315-915d8a6eaa2a
Poile, Vincent, Youdan, Gregory, Sheeran, Liba, Quinn, Lori and Busse, Monica
(2018)
F64 Wearable technologies for assessment of physical activity in hd: preliminary analysis of movement variability and wear time.
Journal of Neurology, Neurosurgery & Psychiatry.
(doi:10.1136/JNNP-2018-EHDN.165).
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Published date: 2018
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Local EPrints ID: 501016
URI: http://eprints.soton.ac.uk/id/eprint/501016
ISSN: 0022-3050
PURE UUID: eb3060d8-5f56-43d3-bcec-3fb6cbb03493
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Date deposited: 20 May 2025 17:14
Last modified: 16 Aug 2025 02:16
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Contributors
Author:
Vincent Poile
Author:
Gregory Youdan
Author:
Liba Sheeran
Author:
Lori Quinn
Author:
Monica Busse
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