Heike Leutheuser

Heike Leutheuser

Postdoctoral researcher

Machine Learning & Data Analytics Lab


Heike Leutheuser obtained her Ph.D. at Friedrich-Alexander University Erlangen-Nuernberg (FAU), Germany in computer science, working on wearable computing applications in eHealth. Since August 2017, she works as Director of the Central Institute of Medical Engineering (ZiMT), Germany. In 2016, she was a Visiting Student Researcher at Stanford University, Stanford, CA, USA. Her research stay was affiliated to the Mobilize Center and the Department of Orthopaedic Surgery. She received the Diplom (Dipl.-Phys. Univ.) degree in physics with emphasis on medicine from Friedrich-Alexander University Erlangen-Nuernberg (FAU), Germany, in 2011. During the studies, she spent a semester abroad at Imperial College, London, U.K.


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


  • 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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(2020). Gait features for discriminating between mobility-limiting musculoskeletal disorders: Lumbar spinal stenosis and knee osteoarthritis. Gait&Posture.

(2019). Wearable computing applications in eHealth.

(2018). Self-powered Multiparameter Health Sensor. IEEE J Biomed Health Inform..

(2017). Wearable current-based ECG monitoring system with non-insulated electrodes for underwater application. Appl Sci..

(2017). Reference-free adjustment of respiratory inductance plethysmography for measurements during physical exercise. IEEE Trans Biomed Eng..