E-LIB Suche - Ergebnisse für: Andreotti, Fernando

1

COVID-19 Patient Outcome Prediction Using Selected Features..:

, In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Wireless Mobile Communication and Healthcare,

Peacock, Sophie ; Cinelli, Mattia ; Heldt, Frank S.... - p. 323-335 , 2021

Link: https://doi.org/10.1007/..

2

Early risk assessment for COVID-19 patients from emergency ..:

Heldt, Frank S. ; Vizcaychipi, Marcela P. ; Peacock, Sophie...
Scientific Reports. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

3

Proof of concept: Screening for REM sleep behaviour disorde..:

Cooray, Navin ; Andreotti, Fernando ; Lo, Christine...
Clinical Neurophysiology. 132 (2021) 4 - p. 904-913 , 2021

Link: https://doi.org/10.1016/..

4

Joint Classification and Prediction CNN Framework for Autom..:

Phan, Huy ; Andreotti, Fernando ; Cooray, Navin..
IEEE Transactions on Biomedical Engineering. 66 (2019) 5 - p. 1285-1296 , 2019

Link: https://doi.org/10.1109/..

5

Detection of REM sleep behaviour disorder by automated poly..:

Cooray, Navin ; Andreotti, Fernando ; Lo, Christine...
Clinical Neurophysiology. 130 (2019) 4 - p. 505-514 , 2019

Link: https://doi.org/10.1016/..

6

Multi-Source Ensemble Learning for the Remote Prediction of..:

Prince, John ; Andreotti, Fernando ; De Vos, Maarten
IEEE Transactions on Biomedical Engineering. 66 (2019) 5 - p. 1402-1411 , 2019

Link: https://doi.org/10.1109/..

7

The use of non-invasive fetal electrocardiography in diagno..:

Lakhno, Igor ; Behar, Joachim A. ; Oster, Julien...
Maternal Health, Neonatology and Perinatology. 3 (2017) 1 - p. , 2017

Link: https://doi.org/10.1186/..

8

Assessment of source separation techniques to extract vital..:

, In: 2015 23rd European Signal Processing Conference (EUSIPCO),

Wedekind, Daniel ; Trumpp, Alexander ; Andreotti, Fernando... - p. 434-438 , 2015

Link: https://doi.org/10.1109/..

9

Einfluss der mütterlichen EKG-Modellierung auf die fetalen ..:

Andreotti, Fernando ; Zaunseder, Sebastian ; Schmieder, Claudia.
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/100527. , 2022

Link: https://opus.bibliothek...

10

Fetal QRS detection by means of Kalman Filtering and using ..:

Zaunseder, Sebastian ; Andreotti, Fernando ; Cruz, Marcos...
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/100528. , 2022

Link: https://opus.bibliothek...

11

Maternal signal estimation by Kalman filtering and template..:

Andreotti, Fernando ; Riedl, Maik ; Himmelsbach, Tilo...
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/100526. , 2022

Link: https://opus.bibliothek...

12

Optimized modelling of maternal ECG beats using the station..:

Andreotti, Fernando ; Behar, Joachim ; Oster, Julien...
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/99929. , 2022

Link: https://opus.bibliothek...

13

fecgsyngui: a GUI interface to fecgsyn for simulation of ma..:

Alvi, Mohsan S ; Andreotti, Fernando ; Oster, Julien.
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/99931. , 2022

Link: https://opus.bibliothek...

14

Signal quality dependent covariance matrices modelling for ..:

Andreotti, Fernando ; Kierstein, Michael ; Malberg, Hagen.
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/99930. , 2022

Link: https://opus.bibliothek...

15

Early risk assessment for COVID-19 patients from emergency ..:

Heldt, Frank S ; Vizcaychipi, Marcela P ; Peacock, Sophie...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892838/. , 2021

Link: http://www.ncbi.nlm.nih...