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Institutionen der Universität Bayreuth Lehrstuhl Machine Learning in Medicine / Maschinelles Lernen in der Medizin - Univ.-Prof. Dr. Heike Leutheuser
Anzahl der Einträge auf dieser Ebene: 66. 2026
2025
Yip, Julia B. ; Griesshammer, Stefan ; Leutheuser, Heike ; Richer, Robert ; Lu, Hui ; Koelpin, Alex ; Eskofier, Bjoern M. ; Ostgathe, Christoph ; Steigleder, Tobias:
Dead or Alive? Radar-Based Monitoring and Machine Learning to Identify Patient's Vital Status.
TechRxiv
,
2025
DOI: https://doi.org/10.36227/techrxiv.174495693.37175254/v1
Jaeger, Katharina M. ; Nissen, Michael ; Leutheuser, Heike ; Danzberger, Nina ; Titzmann, Adriana ; Pontones, Constanza A. ; Goossens, Chloë ; Ziegler, Philipp ; Uhrig, Sabrina ; Haeberle, Lothar ; Bleher, Hannah ; Kast, Kristina ; Kornhuber, Johannes ; Schoeffski, Oliver ; Braun, Matthias ; Fasching, Peter A. ; Beckmann, Matthias W. ; Eskofier, Bjoern M. ; Huebner, Hanna:
Adherence to digital pregnancy care : lessons learned from the SMART start feasibility study.
In: npj Digital Medicine.
Bd. 8
(2025)
.
- 561.
DOI: https://doi.org/10.1038/s41746-025-01966-8
Pontones, Constanza ; Titzmann, Adriana ; Langbein, M. ; Danzberger, Nina ; Böckler, I. ; Goossens, Chloë ; Häberle, Lothar ; Eskofier, Bjoern M. ; Leutheuser, Heike ; Schneider, Michael O. ; Beckmann, Matthias W. ; Fasching, Peter A. ; Huebner, Hanna:
Feasibility, Acceptance and Quality of Remote Self-Guided Mobile Ultrasound in Prenatal Care : A Feasibility Study.
In: Ultraschall in der Medizin = European Journal of Ultrasound.
Bd. 46
(2025)
Heft S 01
.
- S35-S36.
DOI: https://doi.org/10.1055/s-0045-1812261
Neuwieser, Hannah ; Jami, Naga Venkata Sai Jitin ; Meier, Robert Johannes ; Liebsch, Gregor ; Felthaus, Oliver ; Klein, Silvan ; Schreml, Stephan ; Berneburg, Mark ; Prantl, Lukas ; Leutheuser, Heike ; Kempa, Sally:
Interpreting Venous and Arterial Ulcer Images Through the Grad-CAM Lens: Insights and Implications in CNN-Based Wound Image Classification.
In: Diagnostics.
Bd. 15
(2025)
Heft 17
.
- 2184.
DOI: https://doi.org/10.3390/diagnostics15172184
2024
Flaucher, Madeleine ; Pruemer, Florian ; Jaeger, Katharina Maria ; Rolny, Jana ; Trissler, Patricia ; Eckl, Sebastian ; Eskofier, Bjoern M. ; Leutheuser, Heike:
Motivational Factors for Experienced Users of Mobile Health Applications in Heart Failure Management.
In:
Adjunct Proceedings of the 13th Nordic Conference on Human-Computer Interaction (NordiCHI'24). -
New York, NY
: Association for Computing Machinery,
2024
. - 31
DOI: https://doi.org/10.1145/3677045.3685447
Nissen, Michael ; Huang, Shih-Yuan ; Jäger, Katharina M. ; Flaucher, Madeleine ; Titzmann, Adriana ; Bleher, Hannah ; Pontones, Constanza A. ; Huebner, Hanna ; Danzberger, Nina ; Fasching, Peter A. ; Eskofier, Bjoern M. ; Leutheuser, Heike:
Smartphone pregnancy apps: systematic analysis of features, scientific guidance, commercialization, and user perception.
In: BMC Pregnancy and Childbirth.
Bd. 24
(2024)
.
- 782.
DOI: https://doi.org/10.1186/s12884-024-06959-1
Jaeger, Katharina M. ; Nissen, Michael ; Flaucher, Madeleine ; Graf, Luisa ; Joanidopoulos, Joana ; Anneken, Lars ; Huebner, Hanna ; Goossens, Chloë ; Titzmann, Adriana ; Pontones, Constanza ; Fasching, Peter A. ; Beckmann, Matthias W. ; Eskofier, Bjoern M. ; Leutheuser, Heike:
Systematic Comparison of ECG Delineation Algorithm Performance on Smartwatch Data.
In: IEEE Access.
Bd. 12
(2024)
.
- S. 160794-160804.
DOI: https://doi.org/10.1109/ACCESS.2024.3487013
2023
Gabler, Elisabeth ; Nissen, Michael ; Altstidl, Thomas R. ; Titzmann, Adriana ; Packhäuser, Kai ; Maier, Andreas ; Fasching, Peter A. ; Eskofier, Björn M. ; Leutheuser, Heike:
Fetal re-identification in multiple pregnancy ultrasound images using deep learning.
In:
45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) : proceedings. -
Piscataway, NJ
: IEEE,
2023
DOI: https://doi.org/10.1109/EMBC40787.2023.10340336
Nissen, Michael ; Barrios Campo, Nuria ; Flaucher, Madeleine ; Jaeger, Katharina M. ; Titzmann, Adriana ; Blunck, Dominik ; Fasching, Peter A. ; Engelhardt, Victoria ; Eskofier, Björn M. ; Leutheuser, Heike:
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data.
In: npj Digital Medicine.
Bd. 6
(2023)
Heft 1
.
- 189.
DOI: https://doi.org/10.1038/s41746-023-00935-3
Nissen, Michael ; Perez, Carlos A. ; Jaeger, Katharina M. ; Bleher, Hannah ; Flaucher, Madeleine ; Huebner, Hanna ; Danzberger, Nina ; Titzmann, Adriana ; Pontones, Constanza A. ; Fasching, Peter A. ; Beckmann, Matthias W. ; Eskofier, Björn M. ; Leutheuser, Heike:
Usability and perception of a wearable-integrated digital maternity record app in Germany : user study.
In: JMIR Pediatrics and Parenting.
Bd. 6
(2023)
.
- e50765.
DOI: https://doi.org/10.2196/50765
Nissen, Michael ; Flaucher, Madeleine ; Jaeger, Katharina M. ; Huebner, Hanna ; Danzberger, Nina ; Titzmann, Adriana ; Pontones, Constanza A. ; Fasching, Peter A. ; Eskofier, Björn M. ; Leutheuser, Heike:
WebPPG: Feasibility and usability of self-performed, browser-based smartphone photoplethysmography.
In:
45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) : proceedings. -
Piscataway, NJ
: IEEE,
2023
DOI: https://doi.org/10.1109/EMBC40787.2023.10340204
Flaucher, Madeleine ; Zakreuskaya, Anastasiya ; Jaeger, Katharina ; Richer, Robert ; Smeddinck, Jan David ; Kumar, Devender ; Grimme, Sophie ; Klein, Julia ; Hrynyschyn, Robert ; Eskofier, Bjoern ; Leutheuser, Heike:
Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data.
In:
Mensch und Computer 2023 : Workshopband. -
Rapperswil
,
2023
DOI: https://doi.org/10.18420/muc2023-mci-ws14-117
2022
Jaeger, Katharina M. ; Nissen, Michael ; Richer, Robert ; Rahm, Simone ; Titzmann, Adriana ; Fasching, Peter A. ; Eskofier, Björn M. ; Leutheuser, Heike:
Machine learning-based detection of in-utero fetal presentation from non-invasive fetal ECG.
In:
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) : proceedings. -
Piscataway, NJ
: IEEE,
2022
. - 01-04
DOI: https://doi.org/10.1109/BHI56158.2022.9926804
2021
2020
2019
2018
2017
Leutheuser, Heike ; Lang, Nadine R. ; Gradl, Stefan ; Struck, Matthias ; Tobola, Andreas ; Hofmann, Christian ; Anneken, Lars ; Eskofier, Björn M.:
Textile integrated wearable technologies for sports and medical applications.
In: Schneegass, Stefan ; Amft, Oliver
(Hrsg.):
Smart textiles : fundamentals, design, and interaction. -
Cham
: Springer,
2017
. - S. 359-382
. - (Human–Computer Interaction Series
)
DOI: https://doi.org/10.1007/978-3-319-50124-6_16
Gradl, Stefan ; Cibis, Tobias ; Lauber, Jasmine ; Richer, Robert ; Rybalko, Ruslan ; Pfeiffer, Norman ; Leutheuser, Heike ; Wirth, Markus ; von Tscharner, Vinzenz ; Eskofier, Björn M.:
Wearable current-based ECG monitoring system with non-insulated electrodes for underwater application.
In: Applied Sciences.
Bd. 7
(2017)
Heft 12
.
- 1277.
DOI: https://doi.org/10.3390/app7121277
2016
Tobola, Andreas ; Leutheuser, Heike ; Schmitz, Björn ; Hofmann, Christian ; Struck, Matthias ; Weigand, Christian ; Eskofier, Björn M. ; Fischer, Georg:
Battery runtime optimization toolbox for wearable biomedical sensors.
In:
2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) : proceedings. -
Piscataway, NJ
: IEEE,
2016
. - S. 199-204
DOI: https://doi.org/10.1109/BSN.2016.7516259
2015
Leutheuser, Heike ; Gradl, Stefan ; Eskofier, Björn M. ; Tobola, Andreas ; Lang, Nadine ; Anneken, Lars ; Arnold, Martin ; Achenbach, Stephan:
Arrhythmia classification using RR intervals : Improvement with sinusoidal regression feature.
In:
2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN) : proceedings. -
Piscataway, NJ
: IEEE,
2015
. - S. 1-5
DOI: https://doi.org/10.1109/BSN.2015.7299371
Lang, Nadine R. ; Brischwein, Matthias ; Hasslmeyer, Erik ; Tantinger, Daniel ; Feilner, Sven ; Heinrich, Axel ; Leutheuser, Heike ; Gradl, Stefan ; Weigand, Christian ; Eskofier, Björn M. ; Struck, Matthias:
Filter and processing method to improve R-peak detection for ECG data with motion artefacts from wearable systems.
In: Murray, Alan
(Hrsg.):
2015 Computing in Cardiology Conference (CinC). -
Piscataway, NJ
: IEEE,
2015
. - S. 917-920
DOI: https://doi.org/10.1109/CIC.2015.7411061
Tantinger, Daniel ; Zrenner, Markus ; Lang, Nadine R. ; Leutheuser, Heike ; Eskofier, Björn M. ; Weigand, Christian ; Struck, Matthias:
Human authentication implemented for mobile applications based on ECG-data acquired from sensorized garments.
In: Murray, Alan
(Hrsg.):
2015 Computing in Cardiology Conference (CinC). -
Piscataway, NJ
: IEEE,
2015
. - S. 417-420
DOI: https://doi.org/10.1109/CIC.2015.7408675
Tobola, Andreas ; Streit, Franz J. ; Espig, Chris ; Korpok, Oliver ; Sauter, Christian ; Lang, Nadine ; Schmitz, Björn ; Hofmann, Christian ; Struck, Matthias ; Weigand, Christian ; Leutheuser, Heike ; Eskofier, Björn M. ; Fischer, Georg:
Sampling rate impact on energy consumption of biomedical signal processing systems.
In:
2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN) : proceedings. -
Piscataway, NJ
: IEEE,
2015
. - S. 1-6
DOI: https://doi.org/10.1109/BSN.2015.7299392
Tobola, Andreas ; Espig, Chris ; Streit, Franz J. ; Korpok, Oliver ; Schmitz, Björn ; Hofmann, Christian ; Struck, Matthias ; Weigand, Christian ; Leutheuser, Heike ; Eskofier, Björn M. ; Fischer, Georg:
Scalable ECG hardware and algorithms for extended runtime of wearable sensors.
In:
2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) : Proceedings. -
Piscataway, NJ
: IEEE,
2015
. - S. 255-260
DOI: https://doi.org/10.1109/MeMeA.2015.7145209
Mullan, Patrick ; Kanzler, Christoph M. ; Lorch, Benedikt ; Schroeder, Lea ; Winkler, Ludwig ; Laich, Larissa ; Riedel, Frederik ; Richer, Robert ; Luckner, Christoph ; Leutheuser, Heike ; Eskofier, Björn M. ; Pasluosta, Cristian:
Unobtrusive heart rate estimation during physical exercise using photoplethysmographic and acceleration data.
In:
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : proceedings. -
Piscataway, NJ
: IEEE,
2015
. - S. 6114-6117
DOI: https://doi.org/10.1109/EMBC.2015.7319787
2014
Leutheuser, Heike ; Gottschalk, Tristan ; Anneken, Lars ; Struck, Matthias ; Heuberger, Albert ; Arnold, Martin ; Achenbach, Stephan ; Eskofier, Björn M.:
Automatic ECG arrhythmia detection in real-time on Android-based mobile devices.
In: Novák, Daniel
(Hrsg.):
Proceedings of International Conference on Mobile and Information Technologies in Medicine and Health. -
Czech, Prague
,
2014
Tobola, Andreas ; Korpok, Oliver ; Leutheuser, Heike ; Schmitz, Björn ; Hofmann, Christian ; Struck, Matthias ; Weigand, Christian ; Eskofier, Björn M. ; Heuberger, Albert ; Fischer, Georg:
System design impacts on battery runtime of wearable medical sensors.
In: Novák, Daniel
(Hrsg.):
Proceedings of International Conference on Mobile and Information Technologies in Medicine and Health. -
Czech, Prague
,
2014
. - S. 1-4
2013
Traxdorf, Maximilian ; Gradl, Stefan ; Angerer, Florian ; Iro, Heinrich ; Leutheuser, Heike ; Eskofier, Björn M. ; Lauten, Juliane ; Kugler, Patrick:
Schlafstadienbestimmung mit Hilfe bewegungsbasierter Sensortechnologie.
In:
Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie
(Hrsg.):
Proceedings of the 84th Annual Meeting of the German Society of Oto-Rhino-Laryngology, Head and Neck Surgery. -
Düsseldorf
: German Medical Science GMS Publishing House,
2013
. - S. 158
DOI: https://doi.org/10.3205/13hnod723
Gradl, Stefan ; Leutheuser, Heike ; Kugler, Patrick ; Biermann, Teresa ; Kreil, Sebastian ; Kornhuber, Johannes ; Bergner, Matthias ; Eskofier, Björn M.:
Somnography using unobtrusive motion sensors and Android-based mobile phones.
In:
35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : proceedings. -
Piscataway, NJ
: IEEE,
2013
. - S. 1182-1185
DOI: https://doi.org/10.1109/EMBC.2013.6609717
2012
2011
URL für die Einbettung dieser Seite in externe WWW-Seiten:
https://eref.uni-bayreuth.de/XML/divisions/114008-100.xml
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