Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Oppelt, Maximilian P."'
An essential part for the accurate classification of electrocardiogram (ECG) signals is the extraction of informative yet general features, which are able to discriminate diseases. Cardiovascular abnormalities manifest themselves in features on diffe
Externí odkaz:
http://arxiv.org/abs/2010.07639
Autor:
Oppelt, Maximilian P.1,2 (AUTHOR) maximilian.oppelt@iis.fraunhofer.de, Foltyn, Andreas3 (AUTHOR), Deuschel, Jessica3 (AUTHOR), Lang, Nadine R.1 (AUTHOR), Holzer, Nina3 (AUTHOR), Eskofier, Bjoern M.2 (AUTHOR), Yang, Seung Hee4 (AUTHOR)
Publikováno v:
Sensors (14248220). Jan2023, Vol. 23 Issue 1, p340. 43p.
Autor:
Foltyn, Andreas, Deuschel, Jessica, Lang-Richter, Nadine R., Holzer, Nina, Oppelt, Maximilian P.
Publikováno v:
Frontiers in Computer Science; 2024, p1-14, 14p
Publikováno v:
Bildverarbeitung für die Medizin 2015; 2015, p504-509, 6p
Autor:
Oppelt MP; Department Digital Health Systems, Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, 91058 Erlangen, Germany.; Machine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen Nuremberg, 91052 Erlangen, Germany., Foltyn A; Department Sensory Perception and Analytics, Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, 91058 Erlangen, Germany., Deuschel J; Department Sensory Perception and Analytics, Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, 91058 Erlangen, Germany., Lang NR; Department Digital Health Systems, Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, 91058 Erlangen, Germany., Holzer N; Department Sensory Perception and Analytics, Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, 91058 Erlangen, Germany., Eskofier BM; Machine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen Nuremberg, 91052 Erlangen, Germany., Yang SH; Artificial Intelligence in Biomedical Speech Processing Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen Nuremberg, 91052 Erlangen, Germany.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Dec 28; Vol. 23 (1). Date of Electronic Publication: 2022 Dec 28.
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2022 Jul; Vol. 2022, pp. 945-949.