Madeleine Flaucher
Madeleine Flaucher, M. Sc.
My time at FAU will end soon. Unfortunately, I therefore do not have the necessary capacities to supervise student thesis at this time. Thus, please refrain from inquiries regarding the supervision of (both internal and external) theses.
| Since 04/2021 | Researcher and Doctoral Candidate Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
| 10/2018 – 02/2021 | M. Sc. in Medical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master Thesis: “Smartphone-Based Colorimetric Analysis of Urine Dipsticks for At-Home Prenatal Care” |
| 10/2014-09/2018 | B. Sc. in Biomedical Engineering Ostbayerische Technische Hochschule Regensburg (OTH) Bachelor Thesis: “Zerebrale Aneurysmen: Entwicklung eines Werkzeugs zur Rekonstruktion der Ursprungsgeometrie und vergleichende CFD Berechnungen” |
2025
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Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study
In: JMIR Human Factors 12 (2025), Article No.: e56798
ISSN: 2292-9495
DOI: 10.2196/56798
BibTeX: Download
2024
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A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis
In: Digital Health 10 (2024)
ISSN: 2055-2076
DOI: 10.1177/20552076241234627
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Motivational Factors for Experienced Users of Mobile Health Applications in Heart Failure Management
2024 Nordic Conference on Human-Computer Interaction (Uppsala, 13. October 2024 - 16. October 2024)
In: NordiCHI '24 Adjunct: Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction, New York City: 2024
DOI: 10.1145/3677045.3685447
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Systematic Comparison of ECG Delineation Algorithm Performance on Smartwatch Data
In: IEEE Access 12 (2024), p. 160794-160804
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3487013
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Can HCI Lead the Way? Workshop on Exploring Conscious AI
In: Mensch und Computer - Workshopband 2024, Gesellschaft für Informatik e.V., 2024
DOI: 10.18420/muc2024-mci-ws12-113
BibTeX: Download
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Smartphone pregnancy apps: systematic analysis of features, scientific guidance, commercialization, and user perception
In: BMC Pregnancy and Childbirth 24 (2024), Article No.: 782
ISSN: 1471-2393
DOI: 10.1186/s12884-024-06959-1
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2023
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Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data
Mensch und Computer 2023 (Rapperswil, 3. September 2023 - 6. September 2023)
In: Workshopband 2023
DOI: 10.18420/muc2023-mci-ws14-117
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Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review
In: Oncologist (2023)
ISSN: 1083-7159
DOI: 10.1093/oncolo/oyad217
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Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data
In: npj Digital Medicine 6 (2023), Article No.: 189
ISSN: 2398-6352
DOI: 10.1038/s41746-023-00935-3
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WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 (Sydney, NSW, 24. July 2023 - 27. July 2023)
In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023
DOI: 10.1109/EMBC40787.2023.10340204
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Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study
In: JMIR Pediatrics and Parenting 6 (2023), Article No.: e50765
ISSN: 2561-6722
DOI: 10.2196/50765
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2022
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Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care
In: IEEE Journal of Translational Engineering in Health and Medicine (2022), p. 1-9
ISSN: 2168-2372
DOI: 10.1109/JTEHM.2022.3179147
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Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study
In: JMIR Formative Research 6 (2022), p. e33635
ISSN: 2561-326X
DOI: 10.2196/33635
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