[System for automated diagnostic evaluation of the functional state of the cerebral vessels based on the rheoencephalogram]

Area of Science:

• Cardiovascular Physiology
• Computational Biology

Context:

• Understanding pulse hemodynamics is crucial for cardiovascular health assessment.
• Existing models may not fully capture the complexities of myocardial function during the cardiac cycle.

Purpose:

• To develop a new computational model of pulse hemodynamics.
• To integrate both systolic and diastolic myocardial activities into the model.

Summary:

• A novel model of pulse hemodynamics has been developed, accounting for both systolic and diastolic myocardium actions.
• The associated software is designed for general-purpose computers.

Impact:

• The model can be utilized in diverse biomedical studies.
• Potential applications include mass health screening and clinical functional diagnosis.
• Facilitates advanced monitoring systems for cardiovascular function.