Zobrazeno 1 - 10 of 25 pro vyhledávání: '"Gareth, Archer"'
1
Akademický článek
Cardiac Health Assessment Using a Wearable Device Before and After Transcatheter Aortic Valve Implantation: Prospective Study
Autor: Rob Eerdekens, Jo Zelis, Herman ter Horst, Caia Crooijmans, Marcel van 't Veer, Danielle Keulards, Marcus Kelm, Gareth Archer, Titus Kuehne, Guus Brueren, Inge Wijnbergen, Nils Johnson, Pim Tonino
Publikováno v: JMIR mHealth and uHealth, Vol 12, Pp e53964-e53964 (2024)
Abstract BackgroundDue to aging of the population, the prevalence of aortic valve stenosis will increase drastically in upcoming years. Consequently, transcatheter aortic valve implantation (TAVI) procedures will also expand worldwide. Optimal selec
Externí odkaz: https://doaj.org/article/014462a0fc1840f0a4db7807db7be9cb
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2
Akademický článek
Automated 4D flow cardiac MRI pipeline to derive peak mitral inflow diastolic velocities using short-axis cine stack: two centre validation study against echocardiographic pulse-wave doppler
Autor: Hosamadin Assadi, Rui Li, Ciaran Grafton-Clarke, Bhalraam Uthayachandran, Samer Alabed, Ahmed Maiter, Gareth Archer, Peter P. Swoboda, Chris Sawh, Alisdair Ryding, Faye Nelthorpe, Bahman Kasmai, Fabrizio Ricci, Rob J. van der Geest, Marcus Flather, Vassilios S. Vassiliou, Andrew J. Swift, Pankaj Garg
Publikováno v: BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Measurement of peak velocities is important in the evaluation of heart failure. This study compared the performance of automated 4D flow cardiac MRI (CMR) with traditional transthoracic Doppler echocardiography (TTE) for the measu
Externí odkaz: https://doaj.org/article/7519492febb947e48a1b8500beabc6e2
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3
Akademický článek
Mitral regurgitation quantification by cardiac magnetic resonance imaging (MRI) remains reproducible between software solutions [version 3; peer review: 2 approved]
Autor: Pankaj Garg, Benjamin Fidock, George Thornton, Rod Hose, Gareth Archer, Liang Zhong, Rob J. van der Geest, James M. Wild, Andrew J. Swift, Chiara Bucciarelli-Ducci, Estefania De Gárate, Marcus Flather, Thomas A. Treibel, Vassilios S. Vassiliou, Ciaran Grafton-Clarke, Sven Plein
Publikováno v: Wellcome Open Research, Vol 6 (2023)
Background: The reproducibility of mitral regurgitation (MR) quantification by cardiovascular magnetic resonance (CMR) imaging using different software solutions remains unclear. This research aimed to investigate the reproducibility of MR quantifica
Externí odkaz: https://doaj.org/article/0ec9d094a7064bc9aa193d80522a7a4c
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4
Akademický článek
Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline
Autor: Ciaran Grafton-Clarke, Paul Njoku, Jean-Paul Aben, Leon Ledoux, Liang Zhong, Jos Westenberg, Andrew Swift, Gareth Archer, James Wild, Rod Hose, Marcus Flather, Vassilios S. Vassiliou, Pankaj Garg
Publikováno v: BMC Research Notes, Vol 15, Iss 1, Pp 1-7 (2022)
Abstract Objective Doppler echocardiographic aortic valve peak velocity and peak pressure gradient assessment across the aortic valve (AV) is the mainstay for diagnosing aortic stenosis. Four-dimensional flow cardiovascular magnetic resonance (4D flo
Externí odkaz: https://doaj.org/article/f0bddde57b9343f2849d00bab83b94ee
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5
Akademický článek
Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
Autor: Charlotte Schubert, Gareth Archer, Jo M. Zelis, Sarah Nordmeyer, Kilian Runte, Anja Hennemuth, Felix Berger, Volkmar Falk, Pim A. L. Tonino, Rod Hose, Herman ter Horst, Titus Kuehne, Marcus Kelm
Publikováno v: npj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
Abstract Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which exte
Externí odkaz: https://doaj.org/article/c3de71e5bdc4492693a6132c97809081
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6
Akademický článek
A Systematic Review of 4D-Flow MRI Derived Mitral Regurgitation Quantification Methods
Autor: Benjamin Fidock, Natasha Barker, Nithin Balasubramanian, Gareth Archer, Graham Fent, Abdullah Al-Mohammad, James Richardson, Laurence O'Toole, Norman Briffa, Alexander Rothman, Rob van der Geest, Rod Hose, James M. Wild, Andrew J. Swift, Pankaj Garg
Publikováno v: Frontiers in Cardiovascular Medicine, Vol 6 (2019)
Background: Four-dimensional flow cardiac magnetic resonance (4D flow CMR) is an emerging non-invasive imaging technology that can be used to quantify mitral regurgitation (MR) volume. Current methods of quantification have demonstrated limitations i
Externí odkaz: https://doaj.org/article/89cc8a58eba84b319cd5cebaa81d5726
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7
Cardiac Health Assessment using a wearable device before and after TAVI
Autor: Rob Eerdekens, Jo M. Zelis, Herman ter Horst, Caia Crooijmans, Marcel van ‘t Veer, Daniëlle C.J. Keulards, Marcus Kelm, Gareth Archer, Titus Kuehne, Guus R.G. Brueren, Inge Wijnbergen, Nils P. Johnson, Pim A.L. Tonino
BackgroundDue to the aging of the population, the prevalence of aortic valve stenosis will increase dramatically in upcoming years. Consequently Transcatheter Aortic Valve Implantation (TAVI) procedures will also expand worldwide. Optimal selection o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5fb94cb6985e6870daa854f41e2f8f4d
https://doi.org/10.1101/2023.03.22.23287604
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9
Mitral regurgitation quantification by cardiac magnetic resonance imaging (MRI) remains reproducible between software solutions
Autor: Ciaran Grafton-Clarke, George Thornton, Benjamin Fidock, Gareth Archer, Rod Hose, Rob J. van der Geest, Liang Zhong, Andrew J. Swift, James M. Wild, Estefania De Gárate, Chiara Bucciarelli-Ducci, Sven Plein, Thomas A. Treibel, Marcus Flather, Vassilios S. Vassiliou, Pankaj Garg
Publikováno v: Wellcome Open Research. 6:253
Background: The reproducibility of mitral regurgitation (MR) quantification by cardiovascular magnetic resonance (CMR) imaging using different software solutions remains unclear. This research aimed to investigate the reproducibility of MR quantifica
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11f30c07ddf4d64a7c031f494b340608
https://doi.org/10.12688/wellcomeopenres.17200.3
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10
Vesta: A digital health analytics platform for a smart home in a box
Autor: Ian J Craddock, Robert J. Piechocki, Ryan McConville, Michal Kozlowski, Gareth Archer, James Pope, Raul Santos-Rodriguez
Publikováno v: Mcconville, R, Archer, G, Craddock, I J, Kozlowski, M, Piechocki, R J, Pope, J & Santos-Rodriguez, R 2020, ' Vesta : A Digital Health Analytics Platform for a Smart Home in a Box ', Future Generation Computer Systems, vol. 114, pp. 106-119 . https://doi.org/10.1016/j.future.2020.07.046
This paper presents Vesta, a digital health platform composed of a smart home in a box for data collection and a machine learning based analytic system for deriving health indicators using activity recognition, sleep analysis and indoor localization.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4eb3175aced7da02a68b85274d0ceae
https://doi.org/10.1016/j.future.2020.07.046
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