Zobrazeno 1 - 10
of 9 998
pro vyhledávání: '"A. Haverkamp"'
Background: Neoplasms remains a leading cause of mortality worldwide, with timely diagnosis being crucial for improving patient outcomes. Current diagnostic methods are often invasive, costly, and inaccessible to many populations. Electrocardiogram (
Externí odkaz:
http://arxiv.org/abs/2412.07737
Background: Liver diseases are a major global health concern, often diagnosed using resource-intensive methods. Electrocardiogram (ECG) data, widely accessible and non-invasive, offers potential as a diagnostic tool for liver diseases, leveraging the
Externí odkaz:
http://arxiv.org/abs/2412.03717
Autor:
Camardella, Cristian, Lippi, Vittorio, Porcini, Francesco, Bassani, Giulia, Lencioni, Lucia, Mauer, Christoph, Haverkamp, Christian, Avizzano, Carlo Alberto, Frisoli, Antonio, Filippeschi, Alessandro
Using lower-limbs exoskeletons provides potential advantages in terms of productivity and safety associated with reduced stress. However, complex issues in human-robot interaction are still open, such as the physiological effects of exoskeletons and
Externí odkaz:
http://arxiv.org/abs/2408.08734
Current deep learning algorithms designed for automatic ECG analysis have exhibited notable accuracy. However, akin to traditional electrocardiography, they tend to be narrowly focused and typically address a singular diagnostic condition. In this ex
Externí odkaz:
http://arxiv.org/abs/2312.11050
Autor:
Lippi, Vittorio, Walz, Isabelle Daniela, Heimbach, Tobias, Meier, Simone, Brich, Jochen, Haverkamp, Christian, Maurer, Christoph
Publikováno v:
In Proceedings of ICINCO 2023 - Volume 2, pages 181-188 ISBN: 978-989-758-670-5; ISSN: 2184-2809
Timely treatment of stroke is critical to minimize brain damage. Therefore, efforts are being made to educate the public on detecting stroke symptoms, e.g., face, arms, and speech test (FAST). In this position paper, we propose to perform the arm wea
Externí odkaz:
http://arxiv.org/abs/2311.09716
Autor:
Ott, Gabriel, Schaubelt, Yannik, Alcaraz, Juan Miguel Lopez, Haverkamp, Wilhelm, Strodthoff, Nils
Cardiovascular diseases remain the leading global cause of mortality. Age is an important covariate whose effect is most easily investigated in a healthy cohort to properly distinguish the former from disease-related changes. Traditionally, most of s
Externí odkaz:
http://arxiv.org/abs/2310.07463
Autor:
Stoop, Laurens P., van der Wiel, Karin, Zappa, William, Haverkamp, Arno, Feelders, Ad J., Broek, Machteld van den
We propose an index to quantify and analyse the impact of climatological variability on the energy system at different timescales. We define the Climatological Renewable Energy Deviation Index (CREDI) as the cumulative anomaly of a renewable resource
Externí odkaz:
http://arxiv.org/abs/2307.08909
Publikováno v:
Computers in Biology and Medicine, Vol. 176, June 2024, 108525
Deep neural networks have become increasingly popular for analyzing ECG data because of their ability to accurately identify cardiac conditions and hidden clinical factors. However, the lack of transparency due to the black box nature of these models
Externí odkaz:
http://arxiv.org/abs/2305.17043
Autor:
Johnson, Joel N., Haverkamp, Danielle R., Ou, Yi-Hsin, Kieu, Khanh, Otterstrom, Nils T., Rakich, Peter T., Behunin, Ryan O.
In recent years, optical control of mechanical oscillators has emerged as a critical tool for everything from information processing to laser cooling. While traditional forms of optomechanical cooling utilize systems comprised of discrete optical and
Externí odkaz:
http://arxiv.org/abs/2305.11796
Publikováno v:
BMC Microbiology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Foodborne pathogens such as Campylobacter jejuni are responsible for a large proportion of the gastrointestinal infections worldwide associated with poultry meat. Campylobacter spp. can be found in the chicken fecal microbiome and
Externí odkaz:
https://doaj.org/article/ea22c38e1e6b404fb853a4c51fa31c73
