Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Alessandro C Rossi"'
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 7, p e1002611 (2012)
The left ventricle (LV) of mammals with Situs Solitus (SS, normal organ arrangement) displays hardly any interindividual variation in myofiber pattern and experimentally determined torsion. SS LV myofiber pattern has been suggested to result from ada
Externí odkaz:
https://doaj.org/article/d8f6179c64e54c1a971dc1dff7ba74ea
Autor:
Iris A M Huijben, Lieke W A Hermans, Alessandro C Rossi, Sebastiaan Overeem, Merel M van Gilst, Ruud J G van Sloun
Publikováno v:
Physiological Measurement, 44(1):015002. Institute of Physics
Objective. The recently-introduced hypnodensity graph provides a probability distribution over sleep stages per data window (i.e. an epoch). This work explored whether this representation reveals continuities that can only be attributed to intra- and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38bda3cd462991f09c7f9a4617bf7edf
https://research.tue.nl/nl/publications/6ca389f3-ab28-418a-ab50-051348282c5e
https://research.tue.nl/nl/publications/6ca389f3-ab28-418a-ab50-051348282c5e
Publikováno v:
Biomedizinische Technik. Biomedical engineeringReferences. 67(4)
Supervised automatic sleep scoring algorithms are usually trained using sleep stage labels manually annotated on 30 s epochs of PSG data. In this study, we investigate the impact of using shorter epochs with various PSG input signals for training and
Autor:
R De Francisco, Hartmut Schneider, J. C. De Vries, Alessandro C. Rossi, M W J Vliexs, P W J Ermers, S Adnane
Publikováno v:
Sleep & Breathing disorders.
Current polysomnography (PSG) methods are limited to address high demand (eg: Covid-19 pandemic). We aim to test the usability of a wireless patch-based PSG system (Onera Health, NL), and whether the Onera PSG system can detect inspiratory flow limit
Publikováno v:
EMBC
Automatic sleep stage detection can be performed using a variety of input signals from a polysomnographic (PSG) recording. In this study, we investigate the effect of different input signals on the performance of feature-based automatic sleep stage c
Publikováno v:
Acute critical care.
Background: 'Paranoid attention to inspiratory effort - checking it and correcting it - is something where we can make the difference between death and life' (Gattinoni L , 2020) Current methods to track inspiratory effort (IE) in Covid-19 patients a
Publikováno v:
Biomedizinische Technik. Biomedical engineeringReferences. 66(2)
Methods developed for automatic sleep stage detection make use of large amounts of data in the form of polysomnographic (PSG) recordings to build predictive models. In this study, we investigate the effect of several dimensionality reduction techniqu
Publikováno v:
2019 E-Health and Bioengineering Conference (EHB).
Sleep stage detection algorithms can significantly reduce the workload of manual sleep staging and in improving sleep disorder diagnostics. In this paper, we focus on the automatic detection of sleep stages from a frontal channel EEG using expert def
Autor:
Frits W. Prinzen, Patrick Clarysse, Alessandro C. Rossi, Theo Arts, Tammo Delhaas, Julien Milles
Publikováno v:
Ieee Transactions on Medical Imaging, 29(5), 1114-1123. IEEE
IEEE Transactions on Medical Imaging, 29(5), 1114-1123
IEEE Transactions on Medical Imaging, 29(5), 1114-1123
The new SinMod method extracts motion from magnetic resonance imaging (MRI)-tagged (MRIT) image sequences. Image intensity in the environment of each pixel is modeled as a moving sine wavefront. Displacement is estimated at subpixel accuracy. Perform
Autor:
Alessandro C. Rossi, Wilco Kroon, MH Marieke Pluijmert, Theo Arts, Peter H. M. Bovendeerd, Tammo Delhaas
Publikováno v:
American Journal of Physiology : Heart and Circulatory Physiology, 308(5), H416-H423. American Physiological Society
American Journal of Physiology-heart and Circulatory Physiology, 308(5), H416-H423. American Physiological Society
American Journal of Physiology-heart and Circulatory Physiology, 308(5), H416-H423. American Physiological Society
Situs inversus totalis (SIT) is characterized by complete mirroring of gross cardiac anatomy and position combined with an incompletely mirrored myofiber arrangement, being normal at the apex but inverted at the base of the left ventricle (LV). This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9b3b6e268829f601d1b59f361131bfe
https://research.tue.nl/nl/publications/85cfad00-338f-49cc-a638-e6c86ccc5a3a
https://research.tue.nl/nl/publications/85cfad00-338f-49cc-a638-e6c86ccc5a3a