Manuscript Topics

Cardiovascular disease is still the first killer endangering human health. The development of better methods for the diagnosis and treatment of cardiovascular diseases has never stopped. Computational cardiology plays an increasingly important role in elucidating the physiological and pathological mechanisms of normal and abnormal cardiac functions revealing diagnostic information, predicting treatment outcomes, and guiding the development of new technologies for clinical applications. Through the calculation and analysis of multimodal data such as cardiac electrophysiology, cardiac images and vascular mechanics, researchers hope to develop more optimized methods for the diagnosis and treatment of cardiovascular diseases. This research topic collects new progress in the calculation and analysis of multimodal cardiovascular data. We welcome submissions related to but not limited to the following sub-topics:

• ECG signal processing and the use of AI to predict heart diseases.
• Cardiac image analysis.
• Computational fluid dynamics in circulation system.
• Numerical computation methods in computational cardiology.
• ECG imaging.
• Multi-scale heart modeling and simulation.
• Computational analysis of multimodal cardiovascular data.

Keywords: Computational cardiology; Electrocardiograms (ECG); Cardiac imaging; Computational fluid dynamics; Heart modeling and simulation; ECG imaging (ECGI)

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