Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Simon Föll"'
Autor:
Simon Föll, Adrian Lison, Martin Maritsch, Karsten Klingberg, Vera Lehmann, Thomas Züger, David Srivastava, Sabrina Jegerlehner, Stefan Feuerriegel, Elgar Fleisch, Aristomenis Exadaktylos, Felix Wortmann
Publikováno v:
JMIR Formative Research, Vol 6, Iss 6, p e35717 (2022)
BackgroundTo provide effective care for inpatients with COVID-19, clinical practitioners need systems that monitor patient health and subsequently allow for risk scoring. Existing approaches for risk scoring in patients with COVID-19 focus primarily
Externí odkaz:
https://doaj.org/article/9acec8fc676f454385cf4af3961f2c64
Autor:
Christoph Stettler, Felix Wortmann, VThomas Zueger, Elgar Fleisch, Caroline Albrecht, Katja Odermatt, Sophie Lagger, Mathias Kraus, Eva van Weenen, Martin Maritsch, Simon Föll, Vera Lehmann
Aim To develop a non-invasive hypoglycemia detection approach using smartwatch data. Research Design and Methods We prospectively collected data from two wrist-worn wearables (Garmin vivoactive 4S; Empatica E4) and continuous glucose monitoring value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dac3f1b918c08ba646f7249e93fcf3b5
https://doi.org/10.2337/figshare.21995150
https://doi.org/10.2337/figshare.21995150
Autor:
Kevin Koch, Xiaoxi He, Zimu Zhou, Simon Föll, Shu Liu, Tina Menke, Elgar Fleisch, Felix Wortmann
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5:1-34
An empathetic car that is capable of reading the driver's emotions has been envisioned by many car manufacturers. Emotion inference enables in-vehicle applications to improve driver comfort, well-being, and safety. Available emotion inference approac
Autor:
Simon Föll, Adrian Lison, Martin Maritsch, Karsten Klingberg, Vera Lehmann, Thomas Züger, David Srivastava, Sabrina Jegerlehner, Stefan Feuerriegel, Elgar Fleisch, Aristomenis Exadaktylos, Felix Wortmann
BACKGROUND To provide effective care for inpatients with COVID-19, clinical practitioners need systems that monitor patient health and subsequently allow for risk scoring. Existing approaches for risk scoring in patients with COVID-19 focus primarily
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c417fb4463745ddafed33bfc30dcb1da
https://doi.org/10.2196/preprints.35717
https://doi.org/10.2196/preprints.35717
Autor:
Caterina Bérubé, Mathias Kraus, Thomas Züger, Tobias Kowatsch, Simon Föll, Christoph Stettler, Elgar Fleisch, Felix Wortmann, Vera Lehmann, Martin Maritsch, Stefan Feuerriegel
Publikováno v:
CHI Extended Abstracts
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
ISBN:978-1-4503-6819-3
ISBN:978-1-4503-6819-3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95e03cb7ded5bf48e6de58afec2a25e7
http://www.alexandria.unisg.ch/259515/
http://www.alexandria.unisg.ch/259515/
Autor:
Varun Mishra, Federica Spinola, Simon Föll, Felix Wortmann, Elgar Fleisch, Tobias Kowatsch, Martin Maritsch, Filipe Barata
Publikováno v:
Computer Methods and Programs in Biomedicine, 212
Background and Objective: Researchers use wearable sensing data and machine learning (ML) models to predict various health and behavioral outcomes. However, sensor data from commercial wearables are prone to noise, missing, or artifacts. Even with th
Autor:
Christian Hofrichter, Luis Riegger, Francesco Scazza, Moritz Höfer, Diogo Rio Fernandes, Immanuel Bloch, Simon Fölling
Publikováno v:
Physical Review X, Vol 6, Iss 2, p 021030 (2016)
We report on a detailed experimental investigation of the equation of state (EoS) of the three-dimensional Fermi-Hubbard model (FHM) in its generalized SU(N)-symmetric form, using a degenerate ytterbium gas in an optical lattice. In its more common s
Externí odkaz:
https://doaj.org/article/c3e66b2a64624943a893da5fa11c49f9