Heike Leutheuser

Heike Leutheuser

Postdoctoral research fellow

Machine Learning and Data Analytics Lab

Biography

Since April 2022, I am head of the Digital Health - Biosignals group of the Machine Learning and Data Analytics Lab, FAU, Germany. In September 2022, I joined the Medical Data Science group, Department of Computer Science, ETH Zurich, as a postdoctoral research fellow. The research stay at ETH Zurich ended in August 2023 and was funded by the PRIME program of the German Academic Exchange Service (DAAD). As a guest researcher at ETH Zurich, I continue my research in diabetes management. From July 2021 to August 2022, I coordinated the CRC 1483 EmpkinS integrated Research Training Group. From August 2017 to March 2022, I worked as the managing science director of the Central Institute of Medical Engineering (ZiMT) of the FAU.

I obtained my Ph.D. at FAU in computer science in 2019, working on wearable computing applications in eHealth. As a doctoral candidate, I did a three-month research visit at Stanford University, USA. The research stay was affiliated with the Mobilize Center and the Department of Orthopaedic Surgery.

Before, I received the Diplom (Dipl.-Phys. Univ.) degree in physics with an emphasis on medicine from FAU.

Interests

  • Time series analysis for longitudinal health data
  • Machine learning for wearable health monitoring
  • Biomedical signal processing
  • Event detection algorithms
  • Regression
  • Cross-validation methods
  • Recommendation systems
  • Supervised and unsupervised learning

Education

  • Postdoctoral research fellow, 2022 - 2023

    ETH Zurich, Switzerland

  • PhD in Computer Science, 2019

    Friedrich-Alexander University Erlangen-Nuernberg (FAU), Germany

  • Diplom in Physics (Dipl.-Phys. equivalent MSc.), 2011

    Friedrich-Alexander University Erlangen-Nuernberg (FAU), Germany

  • Visiting Student Researcher, 2016

    Stanford University, US

Recent Publications

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M. Nissen, Carlos A. Perez, K. M. Jaeger, H. Bleher, M. Flaucher, H. Huebner, N. Danzberger, A. Titzmann, C. A. Pontones, P. A. Fasching, M. W. Beckmann, B. M. Eskofier, H. Leutheuser (2023). Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study. JMIR Pediatr Parent.

Madeleine Flaucher, Anastasiya Zakreuskaya, Michael Nissen, Alexander Mocker, Peter Fasching, Matthias Beckmann, B. M. Eskofier, Heike Leutheuser (2023). Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review. Oncologist.

DOI

Elisabeth Gabler, Michael Nissen, Thomas Robert Altstidl, Adriana Titzmann, Kai Packhäuser, Andreas Maier, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser (2023). Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. In Proc: 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

M. Nissen, N. Barrios Campo, M. Flaucher, K. M. Jaeger, A. Titzmann, D. Blunck, P. A. Fasching, V. Engelhardt, B. M. Eskofier, H. Leutheuser (2023). Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. npj Digit. Med.

DOI

Michael Nissen, Madeleine Flaucher, Katharina M. Jaeger, Hanna Huebner, Nina Danzberger, Adriana Titzmann, Constanza A. Pontones, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser (2023). WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography. In Proc: 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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