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Your search keyword '"Schröttner Jörg"' showing total 30 results
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30 results on '"Schröttner Jörg"'

1. Photovoltaic Stimulation Induces Overdrive Suppression in Embryonic Chicken Cardiomyocytes

Author

Polz Mathias, Ziesel Daniel, Shrestha Niroj, Pelzmann Brigitte, Lang Petra, Scherübel Susanne, Üçal Muammer, Kornmüller Karin, Schröttner Jörg, Đerek Vedran, Opančar Aleksandar, Głowacki Eric Daniel, Baumgartner Christian, and Rienmüller Theresa

Subjects
extracellular stimulation, arrhythmia, optoelectronics, oepc, photocapacitor, Medicine
Abstract

In this study, we employed calcium imaging to investigate the dynamics of intracellular calcium levels in embryonic chicken cardiomyocytes upon extracellular, optoelectronic stimulation. A photovoltaic layer of donoracceptor pigments on a flexible PET substrate was used as a wireless stimulation electrode. Our findings revealed a distinct change in their spontaneous activity pattern in cardiac cells following asynchronous light stimulation. A short pause in cellular activity, indicative of overdrive suppression, was observed in recordings from several different cells. The pause in activity signifies a transient refractory period induced by stimulation of the photovoltaic device with red light. These findings suggest that photovoltaic electrodes can be used to effectively modulate the electrical activity of cardiac cells in a wireless, non-pharmacological manner. This opens new avenues for non-invasive and precise light-modulated control of cellular electrophysiology as well as potential therapeutic applications for cardiac rhythm disorders.

Published
2023
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2. Comparative Analysis of Mechanical Water Level Tank and Human Fluid Flow

Author

Lozanović Jasmina, Polz Mathias, Rienmüller Theresa Margarethe, Langthaler Sonja, Ziesel Daniel, Schröttner Jörg, and Baumgartner Christian

Subjects
water level tank, human fluid balance, system theory, mathematical modeling, Medicine
Abstract

Fluid flow in the human body can be modeled using a water-level tank, a commonly used mechanistic approach in mechanical engineering for fluid transport processes. Postoperative fluid data from patients undergoing cardiac surgery is used to estimate fluid flow dynamics and total body water in the human body. This simplified model provide a basic understanding of the dynamics of fluid flow processes in the human body and could aid in modeling distribution of fluids in compartments.

Published
2023
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3. Consideration of Kv ion channels as firstorder systems

Author

Lozanović Jasmina, Langthaler Sonja, Rienmüller Theresa Margarethe, Polz Mathias, Ziesel Daniel, Schröttner Jörg, and Baumgartner Christian

Subjects
kv channel, control engineering, first order systems, dynamic behavior, Medicine
Abstract

This paper discusses possibilities to explain which Kv channels can be considered as first-order systems. This means that the dynamic behavior of these channels can be described with a first-order differential equation and are the most straightforward dynamical systems. For example, a typical first-order system is an RC circuit, and analogously, Kv channels can be considered with the dynamic behavior of first-order systems following RC circuits. This work represents a family of KV channels that can be described as first-order systems, providing an efficient method of ion channel modeling in computational electrophysiology.

Published
2023
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4. A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images

Author

Leitner, Christoph, Jarolim, Robert, Englmair, Bernhard, Kruse, Annika, Hernandez, Karen Andrea Lara, Konrad, Andreas, Su, Eric, Schröttner, Jörg, Kelly, Luke A., Lichtwark, Glen A., Tilp, Markus, and Baumgartner, Christian

Subjects
Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Quantitative Methods, I.2.1
Abstract

Biomechanical and clinical gait research observes muscles and tendons in limbs to study their functions and behaviour. Therefore, movements of distinct anatomical landmarks, such as muscle-tendon junctions, are frequently measured. We propose a reliable and time efficient machine-learning approach to track these junctions in ultrasound videos and support clinical biomechanists in gait analysis. In order to facilitate this process, a method based on deep-learning was introduced. We gathered an extensive dataset, covering 3 functional movements, 2 muscles, collected on 123 healthy and 38 impaired subjects with 3 different ultrasound systems, and providing a total of 66864 annotated ultrasound images in our network training. Furthermore, we used data collected across independent laboratories and curated by researchers with varying levels of experience. For the evaluation of our method a diverse test-set was selected that is independently verified by four specialists. We show that our model achieves similar performance scores to the four human specialists in identifying the muscle-tendon junction position. Our method provides time-efficient tracking of muscle-tendon junctions, with prediction times of up to 0.078 seconds per frame (approx. 100 times faster than manual labeling). All our codes, trained models and test-set were made publicly available and our model is provided as a free-to-use online service on https://deepmtj.org/., Comment: in IEEE Transactions on Biomedical Engineering

Published
2022
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14. Photovoltaic Implants: Exploring Clinical Applications

Author

Polz, Mathias, primary, Rienmüller, Theresa, additional, Nowakowska, Marta, additional, Rath, Thomas, additional, Trimmel, Gregor, additional, Binter, Konrad, additional, Ziesel, Daniel, additional, Ghaffari Tabrizi-Wizsy, Nassim, additional, Hasiba-Pappas, Sophie, additional, Schröttner, Jörg, additional, Baumgartner, Christian, additional, and Winter, Raimund, additional

Published
2023
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