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of 2 908
pro vyhledávání: '"A Whone"'
Autor:
Cheng, Qiushuo, Morgan, Catherine, Sikdar, Arindam, Masullo, Alessandro, Whone, Alan, Mirmehdi, Majid
People with Parkinson's Disease (PD) often experience progressively worsening gait, including changes in how they turn around, as the disease progresses. Existing clinical rating tools are not capable of capturing hour-by-hour variations of PD sympto
Externí odkaz:
http://arxiv.org/abs/2408.08182
Facial expression recognition (FER) methods have made great inroads in categorising moods and feelings in humans. Beyond FER, pain estimation methods assess levels of intensity in pain expressions, however assessing the quality of all facial expressi
Externí odkaz:
http://arxiv.org/abs/2312.00856
The limited availability of labelled data in Action Quality Assessment (AQA), has forced previous works to fine-tune their models pretrained on large-scale domain-general datasets. This common approach results in weak generalisation, particularly whe
Externí odkaz:
http://arxiv.org/abs/2311.07603
Autor:
Jovan, Ferdian, Morgan, Catherine, McConville, Ryan, Tonkin, Emma L., Craddock, Ian, Whone, Alan
Publikováno v:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
Parkinson's disease (PD) is a slowly progressive, debilitating neurodegenerative disease which causes motor symptoms including gait dysfunction. Motor fluctuations are alterations between periods with a positive response to levodopa therapy ("on") an
Externí odkaz:
http://arxiv.org/abs/2308.02419
Autor:
Sahota, Amarpal, Roguski, Amber, Jones, Matthew W., Rolinski, Michal, Whone, Alan, Santos-Rodriguez, Raul, Abdallah, Zahraa S.
Detecting Parkinson's Disease in its early stages using EEG data presents a significant challenge. This paper introduces a novel approach, representing EEG data as a 15-variate series of bandpower and peak frequency values/coefficients. The hypothesi
Externí odkaz:
http://arxiv.org/abs/2301.09568
Autor:
Jovan, Ferdian, McConville, Ryan, Morgan, Catherine, Tonkin, Emma, Whone, Alan, Craddock, Ian
Parkinson's disease (PD) is a slowly progressive debilitating neurodegenerative disease which is prominently characterised by motor symptoms. Indoor localisation, including number and speed of room to room transitions, provides a proxy outcome which
Externí odkaz:
http://arxiv.org/abs/2205.06142
Autor:
Catherine Morgan, Emma L. Tonkin, Alessandro Masullo, Ferdian Jovan, Arindam Sikdar, Pushpajit Khaire, Majid Mirmehdi, Ryan McConville, Gregory J. L. Tourte, Alan Whone, Ian Craddock
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract Parkinson’s disease (PD) is a neurodegenerative disorder characterised by motor symptoms such as gait dysfunction and postural instability. Technological tools to continuously monitor outcomes could capture the hour-by-hour symptom fluctua
Externí odkaz:
https://doaj.org/article/a3ac80e9fe4146b6846fcf793a04bd2c
Despite the outstanding success of self-supervised pretraining methods for video representation learning, they generalise poorly when the unlabeled dataset for pretraining is small or the domain difference between unlabelled data in source task (pret
Externí odkaz:
http://arxiv.org/abs/2112.04011
Autor:
Victoria Grace Gabb, Jonathan Blackman, Hamish Duncan Morrison, Bijetri Biswas, Haoxuan Li, Nicholas Turner, Georgina M Russell, Rosemary Greenwood, Amy Jolly, William Trender, Adam Hampshire, Alan Whone, Elizabeth Coulthard
Publikováno v:
JMIR Research Protocols, Vol 13, p e52652 (2024)
BackgroundSleep disturbances are a potentially modifiable risk factor for neurodegenerative dementia secondary to Alzheimer disease (AD) and Lewy body disease (LBD). Therefore, we need to identify the best methods to study sleep in this population.
Externí odkaz:
https://doaj.org/article/923ba9939b084519bb10486f759628ac
Autor:
Jonathan Blackman, Hamish Duncan Morrison, Victoria Gabb, Bijetri Biswas, Haoxuan Li, Nicholas Turner, Amy Jolly, William Trender, Adam Hampshire, Alan Whone, Elizabeth Coulthard
Publikováno v:
BMC Geriatrics, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Sleep and circadian rhythm disorders are well recognised in both AD (Alzheimer’s Disease) dementia and MCI-AD (Mild Cognitive Impairment due to Alzheimer’s Disease). Such abnormalities include insomnia, excessive daytime sleep
Externí odkaz:
https://doaj.org/article/e1c62db1c99049b68fd32cbd4a4725f3