Zobrazeno 1 - 10
of 14 957
pro vyhledávání: '"R James"'
Autor:
David J. Lin, Deborah Backus, Stuti Chakraborty, Sook-Lei Liew, Francisco J. Valero-Cuevas, Carolynn Patten, R James Cotton
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-10 (2024)
Abstract Practicing clinicians in neurorehabilitation continue to lack a systematic evidence base to personalize rehabilitation therapies to individual patients and thereby maximize outcomes. Computational modeling— collecting, analyzing, and model
Externí odkaz:
https://doaj.org/article/acbc451c228c4269904803bd0b06379f
Autor:
Jorge Encantado, António L Palmeira, Carolina Silva, Falko F Sniehotta, R James Stubbs, Maria João Gouveia, Pedro J Teixeira, Berit L Heitmann, Marta M Marques
Publikováno v:
Digital Health, Vol 8 (2022)
Objective To identify the core components of digital behaviour change interventions for weight loss maintenance targeting physical activity, in terms of: (i) behaviour change techniques, (ii) mechanisms of action, (iii) modes of delivery, (iv) dose a
Externí odkaz:
https://doaj.org/article/71670e751a7c481897c461ea1825cbd6
We describe the ring of invariants for the finite orthogonal group of plus type in odd characteristic acting on its defining representation. We also describe the invariants of its Sylow subgroup in the defining characteristic. In both cases we constr
Externí odkaz:
http://arxiv.org/abs/2407.01152
Autor:
Elina Mattila, Graham Horgan, António L Palmeira, Ruairi O'Driscoll, R James Stubbs, Berit L Heitmann, Marta M Marques
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 4, p e35614 (2022)
BackgroundThe use of digital interventions can be accurately monitored via log files. However, monitoring engagement with intervention goals or enactment of the actual behaviors targeted by the intervention is more difficult and is usually evaluated
Externí odkaz:
https://doaj.org/article/886e9b341e544d8c8720814803bae3e4
Autor:
Elina Mattila, Susanne Hansen, Lise Bundgaard, Lauren Ramsey, Alice Dunning, Marlene N Silva, Marja Harjumaa, Miikka Ermes, Marta M Marques, Marcela Matos, Sofus C Larsen, Jorge Encantado, Inês Santos, Graham Horgan, Ruairi O'Driscoll, Jake Turicchi, Cristiana Duarte, António L Palmeira, R James Stubbs, Berit Lilienthal Heitmann, Liisa Lähteenmäki
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 1, p e29302 (2022)
BackgroundDigital behavior change interventions (DBCIs) offer a promising channel for providing health promotion services. However, user experience largely determines whether they are used, which is a precondition for effectiveness. ObjectiveThe pri
Externí odkaz:
https://doaj.org/article/a888cb3d749041008033f55ab869155a
Autor:
Marta M Marques, Marcela Matos, Elina Mattila, Jorge Encantado, Cristiana Duarte, Pedro J Teixeira, R James Stubbs, Falko F Sniehotta, Miikka Ermes, Marja Harjumaa, Juha Leppänen, Pasi Välkkynen, Marlene N Silva, Cláudia Ferreira, Sérgio Carvalho, Lara Palmeira, Graham Horgan, Berit Lilienthal Heitmann, Elizabeth H Evans, António L Palmeira
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 12, p e25305 (2021)
BackgroundMany weight loss programs show short-term effectiveness, but subsequent weight loss maintenance is difficult to achieve. Digital technologies offer a promising means of delivering behavior change approaches at low costs and on a wide scale.
Externí odkaz:
https://doaj.org/article/1ec0b29474ae4881be94ca4350c935df
Video and wearable sensor data provide complementary information about human movement. Video provides a holistic understanding of the entire body in the world while wearable sensors provide high-resolution measurements of specific body segments. A ro
Externí odkaz:
http://arxiv.org/abs/2405.17368
Single camera 3D pose estimation is an ill-defined problem due to inherent ambiguities from depth, occlusion or keypoint noise. Multi-hypothesis pose estimation accounts for this uncertainty by providing multiple 3D poses consistent with the 2D measu
Externí odkaz:
http://arxiv.org/abs/2403.06164
Autor:
Ruairi O'Driscoll, Jake Turicchi, Mark Hopkins, Cristiana Duarte, Graham W Horgan, Graham Finlayson, R James Stubbs
Publikováno v:
JMIR mHealth and uHealth, Vol 9, Iss 8, p e23938 (2021)
BackgroundAccurate solutions for the estimation of physical activity and energy expenditure at scale are needed for a range of medical and health research fields. Machine learning techniques show promise in research-grade accelerometers, and some evi
Externí odkaz:
https://doaj.org/article/69ca61dce1b24bb390a19b57bd88bd6d
Autor:
Cotton, R. James
Recent developments have created differentiable physics simulators designed for machine learning pipelines that can be accelerated on a GPU. While these can simulate biomechanical models, these opportunities have not been exploited for biomechanics r
Externí odkaz:
http://arxiv.org/abs/2402.17192