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Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. In Göttingen, Germany. Researc...

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Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. In Göttingen, Germany. Researc...
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Home - Biomedical Physics | bmp.ds.mpg.de Reviews

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Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. In Göttingen, Germany. Researc...

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Time Series Analysis of Cardiovascular Biodata - Biomedical Physics

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Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. Therefore, we determine charac...

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Cell Culture Experiments - Biomedical Physics

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Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. 62; Cell Culture Experiments.

3

Control of Spatio-temporal Chaos in the Heart - Biomedical Physics

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Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. Design by iNet Robots.

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Characterization of multiple spiral waves - Biomedical Physics

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Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. An example of how the domains ...

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Low-energy Control of Atrial Fibrillation - Biomedical Physics

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Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. Another strategy, antitachycar...

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Max-Planck Forschungsgruppen | Max-Planck-Institut für Dynamik und Selbstorganisation

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Zur Navigation springen (Drücken Sie Enter). Zum Hauptinhalt springen (Drücken Sie Enter). Http:/ www.bpm.ds.mpg.de. Wwwbmp.ds.mpg.de. Biologische Physik und Morphogenese (Dr. Karen Alim). Wie entstehen Muster und Form in einem Organismus? Ermöglichen. [mehr]. Biomedizinische Physik (Prof. Dr. Stefan Luther). Obwohl das Herzflimmern zu den Haupttodesursachen in den westlichen Industrienationen zählt, ist dieser Zustand noch nicht vollständig verstanden. Die Mitarbeiter der Max-Planck-Forschungsgruppe...

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Home - Biomedical Physics

Control of Spatio-temporal Chaos in the Heart. Low-energy Control of Atrial Fibrillation. Data Driven Modeling of Cardiac Dynamics and Model Evaluation. Mathematical Modeling of the Heart. State and Parameter Estimation. Time Series Analysis of Cardiovascular Biodata. Characterization of multiple spiral waves. Synchronization Patterns in Transient Spiral Wave Dynamics. Analyzing and Classifying Cardiac Biosignals. Electromechanical Waves and Instabilities in Cardiac Tissue. In Göttingen, Germany. Researc...

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