Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Jonas F, Dorn"'
Autor:
Alison Keogh, William Johnston, Mitchell Ashton, Niladri Sett, Ronan Mullan, Seamas Donnelly, Jonas F. Dorn, Francesc Calvo, Brian Mac Namee, Brian Caulfield
Publikováno v:
Digital Biomarkers, Vol 4, Iss 1, Pp 87-99 (2020)
Background: Data derived from wearable activity trackers may provide important clinical insights into disease progression and response to intervention, but only if clinicians can interpret it in a meaningful manner. Longitudinal activity data can be
Externí odkaz:
https://doaj.org/article/415ad069442a459cac54c50db6e525d3
Autor:
Alison Keogh, Niladri Sett, Seamas Donnelly, Ronan Mullan, Diana Gheta, Martina Maher-Donnelly, Vittorio Illiano, Francesc Calvo, Jonas F. Dorn, Brian Mac Namee, Brian Caulfield
Publikováno v:
Digital Biomarkers, Vol 4, Iss 3, Pp 78-88 (2020)
Background: Wearable sensors allow researchers to remotely capture digital health data, including physical activity, which may identify digital biomarkers to differentiate healthy and clinical cohorts. To date, research has focused on high-level data
Externí odkaz:
https://doaj.org/article/29ffaa2fc8d8467dbc8d60dfe26af631
Autor:
Kade Birkeland, Raj M. Khandwalla, Emmanuel Fombu, Steven R. Steinhubl, Jonas F. Dorn, J. Thomas Heywood, Daniel Grant, Robert L. Owens
Publikováno v:
Journal of Cardiac Failure. 27:1466-1471
Background Heart failure and sleep-disordered breathing have been increasingly recognized as co-occurring conditions. Their bidirectional relationship warrants investigation into whether heart failure therapy improves sleep and sleep-disordered breat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8efc9a61ff1469c187537d855b1de908
https://doi.org/10.1016/j.cardfail.2021.07.021
https://doi.org/10.1016/j.cardfail.2021.07.021
Autor:
Seamas C. Donnelly, Francesc Calvo, Jonas F. Dorn, Brian Mac Namee, Mitchell Ashton, Ronan H Mullan, Niladri Sett, William Johnston, Alison Keogh, Brian Caulfield
Publikováno v:
Digital Biomarkers, Vol 4, Iss 1, Pp 87-99 (2020)
Digit Biomark
Digit Biomark
Background: Data derived from wearable activity trackers may provide important clinical insights into disease progression and response to intervention, but only if clinicians can interpret it in a meaningful manner. Longitudinal activity data can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0673bf049f11b8e7ece127e086f48a2d
https://doi.org/10.1159/000512044
https://doi.org/10.1159/000512044
Autor:
Cecily Morrison, Jessica Burggraaff, Marcus D’Souza, Ludwig Kappos, Jonas F. Dorn, Abigail Sellen, J. Boisvert, Bernard M. J. Uitdehaag, Advait Sarkar, Christian P. Kamm, Saskia Steinheimer, Rishi Bedi, Frank Dahlke, Peter Kontschieder
Publikováno v:
Disability and Rehabilitation, 42(18), 2640-2646. Informa Healthcare
Steinheimer, S, Dorn, J F, Morrison, C, Sarkar, A, D’Souza, M, Boisvert, J, Bedi, R, Burggraaff, J, Kontschieder, P, Dahlke, F, Sellen, A, Uitdehaag, B M J, Kappos, L & Kamm, C P 2020, ' Setwise comparison : efficient fine-grained rating of movement videos using algorithmic support–a proof of concept study ', Disability and Rehabilitation, vol. 42, no. 18, pp. 2640-2646 . https://doi.org/10.1080/09638288.2018.1563832
Steinheimer, S, Dorn, J F, Morrison, C, Sarkar, A, D’Souza, M, Boisvert, J, Bedi, R, Burggraaff, J, Kontschieder, P, Dahlke, F, Sellen, A, Uitdehaag, B M J, Kappos, L & Kamm, C P 2020, ' Setwise comparison : efficient fine-grained rating of movement videos using algorithmic support–a proof of concept study ', Disability and Rehabilitation, vol. 42, no. 18, pp. 2640-2646 . https://doi.org/10.1080/09638288.2018.1563832
Purpose: Clinical ordinal rating scales of movements, e.g., the Expanded Disability Status Scale, have poor intra- and interrater reliability, are insensitive to subtle differences and result in coarse-grained ratings compared to relative comparative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea9e1bb408df3ebc70e129b4ee6998ce
https://doi.org/10.1080/09638288.2018.1563832
https://doi.org/10.1080/09638288.2018.1563832
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e110689 (2014)
The physical separation of a cell into two daughter cells during cytokinesis requires cell-intrinsic shape changes driven by a contractile ring. However, in vivo, cells interact with their environment, which includes other cells. How cytokinesis occu
Externí odkaz:
https://doaj.org/article/80d8b0d34ff94d26a2e4c714897b8a3e
Autor:
Alexis Dorier, Saskia Steinheimer, Jonas F. Dorn, Caspar E. P. van Munster, Bernard M. J. Uitdehaag, Ludwig Kappos, Christian P. Kamm, Frank Dahlke, Marcus D’Souza, Matthew Johnson
Publikováno v:
D'Souza, Marcus; Van Munster, Caspar E P; Dorn, Jonas F; Dorier, Alexis; Kamm, Christian P; Steinheimer, Saskia; Dahlke, Frank; Uitdehaag, Bernard M J; Kappos, Ludwig; Johnson, Matthew (2020). Autoencoder as a New Method for Maintaining Data Privacy While Analyzing Videos of Patients With Motor Dysfunction: Proof-of-Concept Study. Journal of medical internet research, 22(5), e16669. JMIR Publications 10.2196/16669
Journal of Medical Internet Research
Journal of Medical Internet Research, 22(5):e16669. Journal of medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 5, p e16669 (2020)
D'Souza, M, van Munster, C E P, Dorn, J F, Dorier, A, Kamm, C P, Steinheimer, S, Dahlke, F, Uitdehaag, B M J, Kappos, L & Johnson, M 2020, ' Autoencoder as a new method for maintaining data privacy while analyzing videos of patients with motor dysfunction : Proof-of-concept study ', Journal of Medical Internet Research, vol. 22, no. 5, e16669 . https://doi.org/10.2196/16669
Journal of Medical Internet Research
Journal of Medical Internet Research, 22(5):e16669. Journal of medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 5, p e16669 (2020)
D'Souza, M, van Munster, C E P, Dorn, J F, Dorier, A, Kamm, C P, Steinheimer, S, Dahlke, F, Uitdehaag, B M J, Kappos, L & Johnson, M 2020, ' Autoencoder as a new method for maintaining data privacy while analyzing videos of patients with motor dysfunction : Proof-of-concept study ', Journal of Medical Internet Research, vol. 22, no. 5, e16669 . https://doi.org/10.2196/16669
Background In chronic neurological diseases, especially in multiple sclerosis (MS), clinical assessment of motor dysfunction is crucial to monitor the disease in patients. Traditional scales are not sensitive enough to detect slight changes. Video re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf65df4e21a4320646da30e742c90aa6
Autor:
Diana Gheta, Francesc Calvo, Vittorio P. Illiano, Ronan H Mullan, Jonas F. Dorn, Niladri Sett, Seamas C. Donnelly, Martina Maher-Donnelly, Brian Caulfield, Brian Mac Namee, Alison Keogh
Publikováno v:
Digit Biomark
Digital Biomarkers, Vol 4, Iss 3, Pp 78-88 (2020)
Digital Biomarkers, Vol 4, Iss 3, Pp 78-88 (2020)
Background: Wearable sensors allow researchers to remotely capture digital health data, including physical activity, which may identify digital biomarkers to differentiate healthy and clinical cohorts. To date, research has focused on high-level data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0c71fd7f961690a07850b2c1f694c41
https://pubmed.ncbi.nlm.nih.gov/33173843
https://pubmed.ncbi.nlm.nih.gov/33173843
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 4, p e15704 (2020)
JMIR mHealth and uHealth
JMIR mHealth and uHealth
Background Wearable devices are valuable assessment tools for patient outcomes in contexts such as clinical trials. To be successfully deployed, however, participants must be willing to wear them. Another concern is that usability studies are rarely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba49697d5ef5f9bc798958cb3d89536d
http://mhealth.jmir.org/2020/4/e15704/
http://mhealth.jmir.org/2020/4/e15704/
Autor:
Jessica Burggraaff, Bernard M. J. Uitdehaag, Ludwig Kappos, Jonas F. Dorn, Saskia Steinheimer, Peter Kontschieder, Cecily Morrison, Prejaas Tewarie, Christian P. Kamm, Marcus D’Souza, Abigail Sellen, Frank Dahlke
Publikováno v:
Archives of Physical Medicine and Rehabilitation, 101(2), 234-241. W.B. Saunders Ltd
Burggraaff, J, Dorn, J, D'Souza, M, Morrison, C, Kamm, C P, Kontschieder, P, Tewarie, P, Steinheimer, S, Sellen, A, Dahlke, F, Kappos, L & Uitdehaag, B 2020, ' Video-Based Pairwise Comparison: Enabling the Development of Automated Rating of Motor Dysfunction in Multiple Sclerosis ', Archives of Physical Medicine and Rehabilitation, vol. 101, no. 2, pp. 234-241 . https://doi.org/10.1016/j.apmr.2019.07.016
Burggraaff, J, Dorn, J, D'Souza, M, Morrison, C, Kamm, C P, Kontschieder, P, Tewarie, P, Steinheimer, S, Sellen, A, Dahlke, F, Kappos, L & Uitdehaag, B 2020, ' Video-Based Pairwise Comparison: Enabling the Development of Automated Rating of Motor Dysfunction in Multiple Sclerosis ', Archives of Physical Medicine and Rehabilitation, vol. 101, no. 2, pp. 234-241 . https://doi.org/10.1016/j.apmr.2019.07.016
Objectives: To examine the feasibility, reliability, granularity, and convergent validity of a video-based pairwise comparison technique that uses algorithmic support to enable automated rating of motor dysfunction in patients with multiple sclerosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::404f5036100e335b63ffe6418371d9f9
https://research.vumc.nl/en/publications/563c1f62-226d-4bb8-a63b-0c3a149192d7
https://research.vumc.nl/en/publications/563c1f62-226d-4bb8-a63b-0c3a149192d7