| Stroke is a kind of disease which is caused by cerebral blood vessel rupture,hemorrhage or thrombosis,and the main clinical manifestation is cerebral hemorrhage or ischemic injury.From the point of view of pathogenesis and physiology,the changes of parameters of cerebral blood flow and the disturbance of autonomic regulation of cerebral blood flow are the causes of brain injury,which leads to cerebrovascular disease.When the cerebral blood flow changes,the brain impedance will change.Therefore,brain impedance can be used for the diagnosis and monitoring of cerebrovascular diseases such as stroke,the detection of cerebral blood flow impedance and the analysis of cerebral blood flow parameters.It has important clinical significance for the prediction of cerebrovascular diseases,the development of the disease and the determination of treatment plan.Bioelectrical impedance detection has the advantages of noninvasive,safe and convenient operation,which is suitable for brain signal detection.Before the human body experiment,the brain modeling and simulation are carried out by the finite element method,and the changes of brain impedance and parameters of cerebral blood flow are obtained by combining the experiment.First of all,to study the brain anatomical structure and modeling methods,mainly the superior sagittal sinus vein,sigmoid sinus,superior petrosal sinus,transverse sinus and wills ring blood vessels.The skull is the main contour of the brain,which contains the brain essence and is attached with the scalp layer.According to the structure and size of the real brain,the brain simulation model including the structure of the intracranial vessels was constructed by using the finite element simulation software.Secondly,the dynamic simulation model of cerebral blood flow is constructed.Through the expansion and contraction of intracranial blood vessels to simulate the self-regulation of cerebral blood flow,the change trend and rule of cerebral blood flow impedance were analyzed.When the blood flow changes,the brain impedance is calculated.After processing the experimental data,the parameters of cerebral blood flow such as heart rate,rapid ejection time and systolic wave height were calculated.Thirdly,a non-invasive brain blood flow impedance measurement experiment was designed to measure the brain impedance and obtain the change data of brain blood flow.Finally,the methods of brain impedance processing and the analysis of cerebral blood flow parameters are studied.Based on the denoising and smoothing of the data,the parameters of cerebral blood flow were analyzed,and the results of cerebral blood flow analysis were compared with the theoretical values.The results show that the brain model in this study can well simulate the changes of cerebral blood flow self-regulation.The calculated impedance curves and changes are in good agreement with the measured impedance results.The measured impedance parameters and theoretical values are within the allowable error range.The brain modeling method in this paper is precise and effective,and impedance detection method can reflect the changes of cerebral blood flow,which provides theoretical basis for further study of cerebral blood flow. |