Center for Medical Physics and Biomedical Engineering
Position: Research Associate (Postdoc)
ORCID: 0000-0003-0712-4893
T +43 1 40400 39820
max.haberbusch@meduniwien.ac.at
Keywords
Artificial Intelligence; Biomedical Engineering; Cardiovascular; Computer Simulation; Electric Stimulation; Signal Processing, Computer-Assisted; Vagus Nerve Stimulation
Research group(s)
- Ludwig Boltzmann Institute for Cardiovascular Research
Head: Johann Wojta
Research Area: The Ludwig-Boltzmann-Cluster for Cardiovascular Research focuses on interdisciplinary research of therapies for cardiovascular diseases.
Members: - Cardiovascular Dynamics and Artificial Organs
Research Area: The Working Group deals with investigation, development and simulation of cardiovascular devices and hemodynamics for diagnostic and therapeutic tools.
Members:
Research interests
As a biomedical engineer, my work is driven by a broad curiosity about how engineering can innovate medical treatment and patient care. I have a deep interest in the autonomic nervous system, particularly focusing on the vagus nerve. Its potential for diagnostics and therapy through electrical neuromodulation is incredibly promising for treating a range of diseases.
I am particularly excited about leveraging advanced imaging techniques, like micro-CT and immunohistochemistry, alongside computational modeling. This combination is key to decoding the complex nature of vagal innervation and its role in autonomic regulation. My goal is to integrate these innovative approaches with both ex-vivo and in-vivo models to deepen our understanding of physiological processes and discover new neuromodulatory treatments.
I believe that autonomic neuromodulation stands at the brink of transforming therapeutic practices, possibly making some traditional drug treatments redundant. My commitment to biomedical engineering fuels my pursuit to explore the full potential of the autonomic nervous system, aiming to make significant contributions to disease treatment and management.
Techniques, methods & infrastructure
- Dynamical systems modeling
- Machine learning
- In-vivo and ex-vivo models
Grants
- PREVENT: PREcise Vagal Stimulation for Enhanced Neuro-Cardiac Therapy (2024)
Source of Funding: City of Vienna, Hochschuljubiläumsstiftung der Stadt Wien
Principal Investigator
Selected publications
- Haberbusch, M. et al. (2024) ‘Decoding cardiac reinnervation from cardiac autonomic markers: A mathematical model approach’, The Journal of Heart and Lung Transplantation. Available at: https://doi.org/10.1016/j.healun.2024.01.018.
- Haberbusch, M. et al. (2022) ‘Closed-loop vagus nerve stimulation for heart rate control evaluated in the Langendorff-perfused rabbit heart’, Scientific Reports, 12(1). Available at: https://doi.org/10.1038/s41598-022-23407-2.
- Haberbusch, M., Frullini, S. and Moscato, F. (2022) ‘A Numerical Model of the Acute Cardiac Effects Provoked by Cervical Vagus Nerve Stimulation’, IEEE Transactions on Biomedical Engineering, 69(2), pp. 613–623. Available at: http://dx.doi.org/10.1109/tbme.2021.3102416.
- Haberbusch, M., De Luca, D. and Moscato, F. (2020) ‘Changes in Resting and Exercise Hemodynamics Early After Heart Transplantation: A Simulation Perspective’, Frontiers in Physiology, 11. Available at: http://dx.doi.org/10.3389/fphys.2020.579449.
- Ferraro, D. et al. (2021) ‘Implantable Fiber Bragg Grating Sensor for Continuous Heart Activity Monitoring: Ex-Vivo and In-Vivo Validation’, IEEE Sensors Journal, 21(13), pp. 14051–14059. Available at: http://dx.doi.org/10.1109/jsen.2021.3056530.