Lukas Tenbrink
email me portfolio orcid linkedin bluesky github

Projects (selection)

  • Monoteny

    A scientific programming language for making transpiled libraries. Work in Progress.

  • ECG Viewer

    A simple app to view MIT-BIH waveform data and annotations.

    • Academic

  • 2026
    (Paper) Does Digital Screening for Atrial Fibrillation Reach its Target Group?

    Luisa Freyer, Peter Spielbichler, Lukas Tenbrink, Laura Elisa Villegas Sierra, Maria F. Vogl, Theofanis Korovesis, Mathias Klemm, Steffen Massberg, Axel Bauer, and Konstantinos D. Rizas. 2026. JACC: Advances.

  • 2025
    (Paper) Gender specific aspects of digital screening for atrial fibrillation: insights from the randomized eBRAVE-AF trial

    Luisa Freyer, Peter Spielbichler, Lukas von Stülpnagel, Konstantinos Mourouzis, Lukas Tenbrink, Laura Elisa Villegas Sierra, Maria F. Vogl, Lauren E. Sams, Annika Schneidewind, Mathias Klemm, Steffen Massberg, Axel Bauer, and Konstantinos D. Rizas. 2025. European Heart Journal - Digital Health.

  • 2024
    (Paper) Impact of Age on Smartphone-Based Screening for Atrial Fibrillation: A Prespecified Subgroup Analysis of the eBRAVE-AF Trial

    Luisa Freyer, MD, Peter Spielbichler, MD, Lukas von Stülpnagel, PhD, Aresa Krasniqi, MD, Maximilian Wörndl, Lukas Tenbrink, Laura Elisa Villegas Sierra, MD, Maria F. Vogl, Lauren E. Sams, MD, Ann-Kathrin Mayer, Michael Schreinlechner, MD, Elodie Eiffener, PhD, Annika Schneidewind, MD, Mathias Klemm, MD, Steffen Massberg, MD, Axel Bauer, MD, and Konstantinos D. Rizas, MD. 2024. Circulation: Arrhythmia and Electrophysiology.

  • 2024
    (Patent) Methods, Systems, Devices, and Components for Extracting Atrial Signals from QRS and QRST Complexes

    Lukas Tenbrink, Philip Haeusser, and Peter Ruppersberg. 2024. European Patent Office.

  • 2021
    (Master's Thesis) Investigating dense body surface electrode data for non-invasive detection of intracardiac arrhythmia drivers

    Lukas Tenbrink. 2021. Technical University of Munich.

  • 2019
    (Paper) Motion Prediction of Virtual Patterns, Human Hand Motions, and a simplified Hand Manipulation Task with Hierarchical Temporal Memory

    Lukas Tenbrink, Benedikt Feldotto, Florian Rohrbein, and Alois Knoll. 2019. In 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 305–9. Munich, Germany: IEEE.

  • 2018
    (Bachelor's Thesis) Online Prediction of Motion Patterns using Hierarchical Temporal Memory

    Lukas Tenbrink. 2018. Technical University of Munich.