Abstract
Background Cardiovascular disease is one of the main diseases that threaten human health. Its pathological parameters models is the major difficulty in this field. Some hemodynamic parameters can help us improve lesion analysis and diagnosis, such as blood flow, blood pressure, and vascular resistance.
Methods We take the blood circulation system as a huge fluid network. A non-linear network model is built based on hemodynamic characteristics of mutual influence between the cardiovascular network, according to the circuit graph theory and system theory. Using the averaging method to obtain the harmonic solution of the periodical forced cardiovascular network, we can make diagnoses and analyses of cardiovascular disease based on blood flow. Some control methods are used to study cardiovascular disease treatment, in order to change blood flow and pressure by changing vascular resistance.
Results Taking the cerebral circulation network as a case of a local circulation system, through modeling and data simulation, we can develop different treatment options and methods by selecting different blood vessels as control branches Acupuncture, drug delivery and surgery treatment are improved by controller design. The model can be verified initially through the clinical data, which will provide a scientific reference and basis for treatment of cardiovascular diseases.
Conclusion The control parameters are used to control the lesion parameters. This is a new approach to fluid network control for new interdisciplinary applications in biomedical science.
Acknowledgements This work is supported by NSF of Shandong Province (ZR2016FM25).
