Michael Nissen
Michael Nissen, M. Sc.
Researcher & PhD Candidate
Carl-Thiersch- Straße, 2b
91052 Erlangen
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch- Straße, 2b
91052 Erlangen
- Phone number: +49 9131 85-20286
- Email: michael.nissen@fau.de
My key research areas include medicine (in particular Obstetrics, Emergency Medicine and Cardiology) as well as aviation. My key activities are situated in our interdisciplinary research project SMART Start. I am also open for topics, discussions and inquiries related to E-Commerce and Quantitative Analysis/Finance/Trading, even though these topics are outside of my core research areas.
If you’d like to discuss any collaboration or thesis ideas in any of these areas, please feel free to contact me.
Outside of my curricular activities, I offer freelance IT consulting and development services with a focus on E-Commerce, Data Science and Business Consulting. You may also find more information about me and my non- as well as co-curricular activities on the respective website.
| Since 05/2022 | Researcher and Ph.D. student Department of Palliative Medicine University Hospital Erlangen (UKER) |
| Since 03/2020 | Researcher and Ph.D. student Machine Learning and Data Analytics Lab Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
| 04/2016 – 12/2019 | M. Sc. in Computer Science Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master Thesis: “Label Extraction from Electrocardiogram Free Text Reads” |
| 06/2019 – 10/2019 | Visiting Student/Master Thesis Computational Cardiovascular Research Group Research Lab of Electronics, Massachusetts Institute of Technology (MIT) in Cooperation with Clinical Data Animation Center, Massachusetts General Hospital (MGH) |
| 10/2015 – 10/2019 | Student Assistant Lehrstuhl für Wirtschaftinsformatik, insbesondere im Dienstleistungsbereich Tutor for “PC-Praktikum” and “Algorithms and Data Structures for IIS Students” |
| 10/2014 – 10/2016 | B. Sc. in Information Systems Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Bachelor Thesis: “Entwicklung und prototypische Realisierung eines Konzepts zur integrierten Fertigungsplanung einer entscheidungsoptimierten Feindisposition bei der REHAU AG + Co” |
2024
- Jäger K., Nissen M., Flaucher M., Graf L., Joanidopoulos J., Anneken L., Hübner H., Goossens C., Titzmann A., Pontones C., Fasching P., Beckmann M., Eskofier B., Leutheuser H.:
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
BibTeX: Download - Jäger K., Nissen M., Rahm S., Titzmann A., Fasching P., Beilner J., Eskofier B., Leutheuser H.:
Power-MF: Robust fetal QRS detection from non-invasive fetal electrocardiogram recordings
In: Physiological Measurement (2024)
ISSN: 0967-3334
DOI: 10.1088/1361-6579/ad4952
BibTeX: Download - Nissen M., Huang SY., Jäger K., Flaucher M., Titzmann A., Bleher H., Pontones C., Hübner H., Danzberger N., Fasching P., Eskofier B., Leutheuser H.:
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
BibTeX: Download
2023
- Flaucher M., Zakreuskaya A., Nissen M., Mocker A., Fasching P., Beckmann M., Eskofier B., Leutheuser H.:
Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review
In: Oncologist (2023)
ISSN: 1083-7159
DOI: 10.1093/oncolo/oyad217
BibTeX: Download - Gabler E., Nissen M., Altstidl TR., Titzmann A., Packhäuser K., Maier A., Fasching P., Eskofier B., Leutheuser H.:
Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning
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/EMBC40787.2023.10340336
BibTeX: Download - Nissen M., Barrios Campo N., Flaucher M., Jäger K., Titzmann A., Blunck D., Fasching P., Engelhardt V., Eskofier B., Leutheuser H.:
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
BibTeX: Download - Nissen M., Flaucher M., Jäger K., Hübner H., Danzberger N., Titzmann A., Pontones C., Fasching P., Eskofier B., Leutheuser H.:
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
BibTeX: Download - Nissen M., Perez CA., Jäger K., Bleher H., Flaucher M., Hübner H., Danzberger N., Titzmann A., Pontones C., Fasching P., Beckmann M., Eskofier B., Leutheuser H.:
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
BibTeX: Download - Pontones C., Titzmann A., Hübner H., Danzberger N., Rübner M., Häberle L., Eskofier B., Nissen M., Kehl S., Faschingbauer F., Beckmann M., Fasching P., Schneider M.:
Feasibility and Acceptance of Self-Guided Mobile Ultrasound among Pregnant Women in Routine Prenatal Care
In: Journal of Clinical Medicine 12 (2023), Article No.: 4224
ISSN: 2077-0383
DOI: 10.3390/jcm12134224
BibTeX: Download
2022
- Blunck D., Kastner L., Nissen M., Winkler J.:
The Effectiveness of Patient Training in Inflammatory Bowel Disease Knowledge via Instagram: Randomized Controlled Trial
In: Journal of Medical Internet Research 24 (2022), p. e36767
ISSN: 1438-8871
DOI: 10.2196/36767
URL: https://jmir.org/2022/10/e36767
BibTeX: Download - Fidorra J., Nissen M., Abdullahi Yari I., Ostgathe C., Steigleder T., Eskofier B.:
Concept of a Simple Reaction Test for eHealth-Based Opioid Response Assessment in Palliative Care
12th World Research Congress of the European Association for Palliative Care (Online, 18. May 2022 - 20. May 2022)
DOI: 10.1177/02692163221093145
URL: https://journals.sagepub.com/doi/10.1177/02692163221093145
BibTeX: Download - Flaucher M., Nissen M., Jäger K., Titzmann A., Pontones C., Hübner H., Fasching P., Beckmann M., Gradl S., Eskofier B.:
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
BibTeX: Download - Jäger K., Nissen M., Richer R., Rahm S., Titzmann A., Fasching P., Eskofier B., Leutheuser H.:
Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina, 27. September 2022 - 30. September 2022)
DOI: 10.1109/BHI56158.2022.9926804
BibTeX: Download - Nissen M., Slim S., Jäger K., Flaucher M., Hübner H., Danzberger N., Fasching P., Beckmann M., Gradl S., Eskofier B.:
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
BibTeX: Download - Qiu J., Oppelt M., Nissen M., Anneken L., Breininger K., Eskofier B.:
Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation
In: : 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022
DOI: 10.1109/EMBC48229.2022.9871969
BibTeX: Download
2021
- Dörflinger L., Nissen M., Jäger K., Wirth M., Titzmann A., Pontones C., Fasching P., Beckmann M., Gradl S., Eskofier B.:
Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives
MuC '21: Mensch und Computer 2021 (Ingolstadt, 5. September 2021 - 8. September 2021)
In: Mensch und Computer 2021 2021
DOI: 10.1145/3473856.3473994
BibTeX: Download
2019
- Benenson Z., Berger F., Cherepantsev A., Datsevich S., Do L., Eckert M., Elsberger T., Freiling F., Frinken M., Glameyer H., Hafner S., Hagenhoff S., Hammer A., Hammerl S., Hantke F., Heindorf F., Henninger M., Höfer D., Kuhrt P., Lattka M., Leis T., Leubner C., Leyrer K., Lindenmeier C., Del Medico K., Moussa D., Nissen M., Öz A., Ottmann J., Reif K., Ripley N., Roth A., Schilling J., Schleicher R., Schulz D., Stephan M., Volkert C., Wehner M., Wild M., Wirth J., Wolf J., Wunder J., Zlatanovic J.:
Analyse verbreiteter Anwendungen zum Lesen von elektronischen Büchern
CS-2019-06 (2019)
Open Access: http://nbn-resolving.de/urn:nbn:de:bvb:29-opus4-125519
URL: http://nbn-resolving.de/urn:nbn:de:bvb:29-opus4-125519
BibTeX: Download
(Working Paper)
| Month/Year | Name | Title |
| (Ongoing) | Jan Šimerda | Sharing Medical Trial Data in Federated Gaia-X Data Spaces (Master’s thesis) |
| (Ongoing) | Tobias Frieß | Ubiquitous Investigation of Overall State of Health Using a Smart Toothbrush in Palliative Care (v 3.0) (Master’s thesis) |
| (Ongoing) | Ronald Gate | Exploring Cyberchondria in Pregnant Women: A Comprehensive Investigation and Analysis (Master’s thesis) |
| (Ongoing) | Terumi Hauser | Feasibility and Accuracy of Over-Ear PPG Measurements using an Aviation Headset (Master’s thesis) |
| 12/2023 | Lena Heinstein | Ubiquitous Investigation of Overall State of Health Using a Smart Toothbrush in Palliative Care (v 2.0) (Bachelor’s thesis) |
| 11/2023 | Daniel Kriegl | Conception and Prototyping of an Enterprise Process and Data Analytics Platform for E-Commerce Decision Making (Master’s thesis) |
| 07/2023 | Julia Hafenbrak | (Confidential) (Bachelor’s thesis) |
| 07/2023 | Carla Dorn | A Mobile And Ubiquitious Health Medical Trial Platform (Research internship) |
| 07/2023 | Michael Brock | Refinement, Feasibility and Evaluation of an eHealth Application for Opioid Management in Palliative Care (Master’s thesis) |
| 07/2023 | Nuria Barrios Campo | Retrospective Analysis of Self-Entered Symptom Tracker Data, Usage and Corresponding Outcomes in a Consumer Pregnancy Application (Keleya) (Master’s thesis) |
| 10/2022 | Elisabeth Gabler | Fetal ReID: Deep Learning on Pregnancy Ultrasound Images (Bachelor’s thesis) |
| 11/2022 | Paul Maas | Ubiquitous Investigation of Overall State of Health Using a Smart Toothbrush in Palliative Care (Master’s thesis) |
| 08/2022 | Jacob Fidorra | Evaluation of Machine Learning Algorithms for Clinical Assistance in Palliative Care (Master’s Thesis) |
| 03/2022 | Carlos Perez | Usability Aspects of Pregnancy Applications and Digital Maternity Records (Master’s Thesis) |
| 03/2022 | Kelly Haong | Deep Learning on Pregnancy Ultrasound Images (Research internship) |
| 09/2021 | Shih-Yuan Huan | Lifestyle Pregnancy Apps: An Examination of Functionality, Scientific and Commercial Aspects using Natural Language Processing (Research Internship) |
| 07/2021 | Ben Paulsen | Prediction of Convective Updrafts in the Atmospheric Boundary Layer Based on Real-World Flight Data: A Machine Learning Approach (Bachelor’s Thesis) |
| 07/2021 | Jingna Qiu | Data Augmentation for Electrocardiogram Classification (Master’s Thesis) |
| 07/2021 | Luisa Dörflinger | Digital Maternity Records: Physician’s and Midwife’s Perspective on Motivation and Usability (Bachelor’s Thesis) |
| 05/2021 | Beeke Kirsch | Investigation and Validation of the Impact of Local Characteristics on Clinical Decision Support Systems for early Sepis Prediction (Master’s Thesis) |
| 02/2021 | Madeleine Flaucher | Smartphone-based Colorimetric Analysis of Urine Dipsticks for At-Home Prenatal Care (Master’s Thesis) |
| 12/2020 | Dominik Happel | A Wearable-Data Enhanced Digital Maternity Log Including Cyberchondria-Aware User Interaction Concepts (Master’s Thesis) |
| 12/2020 | Simone Rahm | Medical Data Donation in Perinatal and Antenatal Care (Research Internship) |
| 11/2020 | Felix Tempel | Deep Learning-Based ECG Classification With Focus on Pregnant Women (Master’s Thesis, Co-Supervision) |
| 10/2020 | Syrine Slim | Validation of Heart Rate Variability Measurements of Wearable Devices Used Among Pregnant Women (Bachelor’s Thesis) |
| 10/2020 | Michael Werthmann | Objektive, technische Vergleichsparameter von Ultraschallgeräten und Deep Learning in der Ultraschallanwendung: Eine Literaturübersicht (Research Internship) |
| 08/2020 | Madeleine Flaucher | Antenatal Care in Germany: A Process Perspective (Research Internship) |
| Month/Year | Name | Details |
| 04/2020 – ongoing |
Innovation Lab for Wearable and Ubiquitous Computing | Summer 2023: tbd (Tiergarten Nürnberg)
Winter 2022: “Office heroes” (in collaboration with DATEV) Summer 2022: “DreamCation” – Smart Sleeping Mask (in collaboration with Christine Lenz) Winter 2021: “VitalSense” – Ubiquitous Devices in Palliative Care (in collaboration with the Department of Palliative Medicine, Erlangen University Hospital) Summer 2021: “Palley” – Application for Opioid Management and Adverse Effects in Palliative Care (in collaboration with the Department of Palliative Medicine, Erlangen University Hospital) Winter 2020: “Spinson” – Drone Mapping for Solar Panel Inspection and Defects Detection (in collaboration with Intego GmbH) Summer 2020: “Stress+” – A web based application for stress management |
| 10/2015 – 10/2020 | PC Praktikum | Teaches basics of Office software |
| 10/2015 – 04/2018 | Algorithms and Data Structures for IIS Students | Additional english-based support for Master’s students of the study programme “International Information Systems” |