A cerebrospinal fluid circulation-based multi-modal data analysis and hydrocephalus evaluation model

Abstract

The application discloses a kind of based on cerebrospinal fluid circulation Multimodal data analysis and hydrocephalus evaluation model, belong to clinical engineering technical field.The application is based on the baseline data of intracranial pressure of clinical pre-acquisition cerebrospinal fluid circulation correlation, selects 5min effective data segment to establish intracranial pressure benchmark;Import intracranial pressure dynamic data under the state of physiological saline uniform speed infusion, after data fitting determines smooth platform period, import the platform period 5min stable multimodal physiological index data;Based on intracranial compliance characteristics combined with fluid conservation law, include cerebrospinal fluid formation rate, infusion rate and other parameters, correlation intracranial pressure, dural venous sinus pressure and cerebrospinal fluid outflow resistance, deduce intracranial pressure time-varying function and construct cerebrospinal fluid circulation mathematical model;Cerebrospinal fluid outflow resistance, intracranial pressure pulse amplitude, elastic coefficient and other kinetic parameters are calculated, and generate quantitative evaluation report.The application can realize objective, accurate, fast evaluation for hydrocephalus, provide quantitative basis for early intervention.

Description

Technical Field

[0001] This invention relates to the field of clinical engineering technology, and in particular to a multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation. Background Technology

[0002] Hydrocephalus is a pathological condition caused by the accumulation of cerebrospinal fluid in the cranium. It leads to increased intracranial pressure, resulting in symptoms such as gait incoordination, cognitive impairment, and urinary incontinence, severely impacting patients' daily lives. Idiopathic normobaric hydrocephalus, considered a form of "reversible dementia," can be effectively treated with early intervention. Therefore, early identification of hydrocephalus remains a significant challenge for clinicians.

[0003] Currently, the diagnosis of hydrocephalus mainly relies on imaging examinations, gait assessments, and the results of lumbar puncture to release cerebrospinal fluid. However, imaging characteristics and gait assessments are often similar to those of neurodegenerative diseases, making effective diagnosis and differentiation difficult. Furthermore, the lumbar puncture procedure for releasing cerebrospinal fluid is lengthy, often requiring up to three days to determine if a patient has hydrocephalus.

[0004] Cerebrospinal fluid dynamics is a theory built upon the cerebrospinal fluid circulation pathway. By equating the generation, absorption, circulation, and storage of cerebrospinal fluid to a circuit diagram, and using formulas such as intracranial compliance and conservation laws, the relationship between intracranial pressure and resistance to cerebrospinal fluid outflow is calculated, thus providing a more objective and intuitive reflection of the possible causes of hydrocephalus. This method can effectively reduce the harm caused by multiple cerebrospinal fluid drainage tests and avoid the risk of minimal postoperative benefits. Furthermore, as a new technique for assessing hydrocephalus, this method can effectively shorten the consultation time and objectively complete the assessment and analysis. Summary of the Invention

[0005] The purpose of this invention is to provide a multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation. By monitoring physiological indicators such as intracranial pressure, heart rate, and blood oxygen after the establishment of the cerebrospinal fluid pathway, and substituting them into the established cerebrospinal fluid circulation model, the outflow resistance of cerebrospinal fluid, the amplitude of intracranial pressure pulse, and the elasticity coefficient are calculated, providing doctors with objective quantitative indicators to assess the condition of patients.

[0006] To achieve the above objectives, this invention provides a multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation, comprising the following steps: S1. Obtain baseline data of intracranial pressure associated with cerebrospinal fluid circulation from clinical pre-collection, select a continuous 5-minute effective data segment, establish an intracranial pressure benchmark, and use it as the basic data state for subsequent modeling. S2. Based on the intracranial pressure benchmark, import the dynamic data of intracranial pressure under the condition of uniform saline infusion; determine the stable plateau period of intracranial pressure through data fitting, and import the stable multimodal physiological index data of the plateau period for 5 minutes. S3. Based on the intracranial compliance characteristics and combined with the law of fluid conservation, parameters such as cerebrospinal fluid formation rate, saline infusion rate, cerebrospinal fluid circulation absorption, and intracranial cerebrospinal fluid storage were incorporated. Intracranial pressure, dural venous sinus pressure, and cerebrospinal fluid outflow resistance were correlated to derive the function of intracranial pressure changing with time and establish a cerebrospinal fluid circulation model. S4. Substitute the intracranial pressure baseline, intracranial pressure plateau period and other multimodal physiological index data into the cerebrospinal fluid circulation model to calculate the cerebrospinal fluid dynamic parameters, including cerebrospinal fluid outflow resistance, intracranial pressure pulse amplitude and elasticity coefficient. S5. Generate an assessment report based on the calculated cerebrospinal fluid dynamics parameters, and provide objective quantitative basis according to the values ​​of the cerebrospinal fluid dynamics parameters and the preset assessment threshold.

[0007] Preferably, in S2, the multimodal physiological index data includes intracranial pressure data transmitted by a medical pressure sensor, blood oxygen data transmitted by a blood oxygen probe, and heart rate data transmitted by a five-lead electrocardiogram monitor. The intracranial pressure data, blood oxygen data, and heart rate data are monitored, recorded, and stored in real time by a monitor and ICM+ multimodal detection software.

[0008] Preferably, in S3, the process of establishing the cerebrospinal fluid circulation model is as follows: S31. Intracranial compliance represents the volumetric compensatory function of the cranial cavity, which is the volume change produced by a unit change in intracranial pressure. The calculation formula is as follows: (1); in, For intracranial compliance, Indicates changes in intracranial volume. Indicates changes in intracranial pressure; When the volume of the craniospinal space increases, compliance under low intracranial pressure is significantly higher than compliance under high intracranial pressure. The calculation formula is transformed into: (2); where, K This represents the specific elastic constant of the cerebrospinal fluid circulation system; In the modeling of cerebrospinal fluid circulation, there exists a constant cerebrospinal fluid storage pressure. The expression for intracranial compliance in this modeling is: (3); This model includes the entire circulation pathway of cerebrospinal fluid in the human body, and also includes the case of infusion of physiological saline. S32. Based on the law of conservation of fluids, the total inflow of a fluid is equal to its outflow, as expressed below: (4); among which, Cerebrospinal fluid formation rate, This is the rate of saline infusion in subsequent infusion experiments. The cerebrospinal fluid pathway is for continued circulation and absorption. The pathway for cerebrospinal fluid stored in the cranium to support and protect the brain; Intracranial pressure and dural venous sinus pressure The difference between them is calculated using the following formula: (5); among which, For CSF outflow resistance, This refers to the pressure of the dural venous sinus. S33. Using formulas (1) and (2), calculate the intracranial pressure. Function of change over time: (6); among them, For time, For changes over time; Calculate cerebrospinal fluid storage pathways while maintaining constant cerebral blood flow. The formula is as follows: (7); Combining formulas (6) and (4), the calculation results are as follows: (8); S34, Steady-state intracranial resting pressure Compression of the dural venous sinus CSF outflow resistance and cerebrospinal fluid formation rate The calculation formula for joint adjustment is as follows: (9); Substituting formulas (8) and (5) into formula (9), a mathematical model of cerebrospinal fluid circulation is established, as follows: (10).

[0009] Preferably, in S4, the calculation of cerebrospinal fluid dynamics-related parameters is as follows: S41. Solve equation (10) using the integral factor method. The equation is as follows: (11); among which, Let it be the independent variable during integration; S42. Through infusion test Rise to Afterwards, the pressure gradually shifted from The relationship between intracranial pressure and infusion time when the pressure drops to resting pressure is expressed as follows: (12); among them, This represents the value during the plateau phase of intracranial pressure. S43, Under resting pressure conditions, Intracranial pressure It is the steady-state value, that is Infusion speed , The calculation formula is as follows: (13); among them, Infusion rate; S44, in Under the conditions, The calculation formula is as follows: (14); S45. During the constant pressure infusion test, dynamic data from the resting state to the steady state are collected, and calculations are performed on the data. For constant pressure infusion under steady-state conditions, the differential equation simplifies to: (15); S46. Solve for the CSF outflow resistance parameters. The calculation formula is as follows: (16); among them, It is the steady-state intracranial pressure generated by constant pressure infusion.

[0010] Preferably, in S4, intracranial pressure is extracted by frequency domain analysis to obtain the intracranial pressure pulse amplitude. The intracranial pressure pulse amplitude reflects the increase in intracranial pressure within a certain range. At the same time, the elastic coefficient is used to represent brain compliance. When the elastic coefficient is low, it indicates poor brain compliance.

[0011] Therefore, this invention employs the aforementioned multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation. By monitoring various physiological parameters such as intracranial pressure after the establishment of the cerebrospinal fluid pathway, outflow resistance is calculated, thereby improving the accuracy of hydrocephalus assessment, shortening the assessment time, and providing a basis for early intervention.

[0012] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating an embodiment of the present invention; Figure 2 This is an intracranial pressure-volume curve according to an embodiment of the present invention; Figure 3 This is an evaluation report of an embodiment of the present invention; Figure 4 This is a difference analysis of various physical indicators of cerebrospinal fluid circulation dynamics in an embodiment of the present invention. Detailed Implementation

[0014] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0015] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0016] Example 1 This embodiment provides a multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation, the flowchart of which is shown below. Figure 1 As shown, these are used to provide doctors with objective quantitative indicators to assess the condition of patients. The specific content is as follows.

[0017] S1. Obtain baseline data of intracranial pressure associated with cerebrospinal fluid circulation from clinical pre-collection, select a continuous 5-minute effective data segment, establish an intracranial pressure benchmark, and use it as the basis for subsequent modeling.

[0018] S2. After the intracranial pressure baseline is recorded, the dynamic data of intracranial pressure under the condition of uniform saline infusion is imported based on the intracranial pressure benchmark. The plateau period of intracranial pressure is determined by data fitting, and the stable multimodal physiological index data of the plateau period for 5 minutes is imported. The specific sources of the data analyzed in this embodiment are: the infusion rate of saline is 60ml / h, and the multimodal signals are from the monitor, medical pressure sensor, blood oxygen probe, five-lead electrocardiogram monitor and ICM+ multimodal detection software, etc. Among them, the medical pressure sensor provides intracranial pressure data, the blood oxygen probe transmits blood oxygen data, the five-lead electrocardiogram monitor transmits heart rate data, and the monitor and ICM+ multimodal detection software monitor, record and store the above data in real time.

[0019] S3. Based on intracranial compliance characteristics and the law of fluid conservation, parameters such as cerebrospinal fluid formation rate, saline infusion rate, cerebrospinal fluid circulation absorption, and intracranial cerebrospinal fluid storage were incorporated. These parameters were then correlated with intracranial pressure, dural venous sinus pressure, and cerebrospinal fluid outflow resistance to derive a function of intracranial pressure over time, thus establishing a cerebrospinal fluid circulation model. The specific establishment process is as follows: S31. Intracranial compliance represents the volumetric compensatory function of the cranial cavity, which is the volume change produced by a unit change in intracranial pressure. When the increase in intracranial contents is small, there is sufficient space for adjustment, so compliance is strong; conversely, when the contents increase, the adjustable space becomes smaller, compliance becomes worse, intracranial pressure rises more rapidly, and hydrocephalus is more likely to occur. The calculation formula is as follows: (1); in, For intracranial compliance, Indicates changes in intracranial volume. This indicates changes in intracranial pressure; because the volume of the human skull remains constant, and the craniospinal space is closed by the almost rigid skull and vertebrae, it is believed that... Basically unchanged, at this time The value is approximately 1 mL / mmHg, which also indicates that intracranial pressure can be strongly affected by minute changes in the interstitial space.

[0020] When the volume of the craniospinal space increases, compliance under low intracranial pressure is significantly higher than compliance under high intracranial pressure. The calculation formula is transformed into: (2); where, K This represents the specific elastic constant of the cerebrospinal fluid circulation system.

[0021] In the modeling of cerebrospinal fluid circulation, there exists a constant cerebrospinal fluid storage pressure. The expression for intracranial compliance in this modeling is: (3); This model includes the entire circulation pathway of cerebrospinal fluid in the human body, as well as the case of infusion of physiological saline.

[0022] S32. Solve the nonlinear differential equations for the above model. First, based on the law of conservation of fluids, the total inflow of fluid (cerebrospinal fluid produced by the fluid itself and infused cerebrospinal fluid) is equal to its outflow (the total amount of cerebrospinal fluid stored in a specific pathway and absorbed), as expressed below: (4); among which, Cerebrospinal fluid formation rate, This is the rate of saline infusion in subsequent infusion experiments. The cerebrospinal fluid pathway is for continued circulation and absorption. This is the pathway for cerebrospinal fluid stored in the cranium to support and protect the brain.

[0023] Specifically, this refers to intracranial pressure. and dural venous sinus pressure The difference between them is calculated using the following formula: (5); among which, For CSF outflow resistance, This refers to the pressure of the dural venous sinus.

[0024] S33. Using formulas (1) and (2), calculate the intracranial pressure. Function of change over time: (6); among them, For time, It varies over time.

[0025] Assuming that only cerebrospinal fluid (CSF) causes changes in intracranial volume, i.e., cerebral blood flow remains constant, calculate the storage pathways of CSF. The formula is as follows: (7); Combining formulas (6) and (4), the calculation results are as follows: (8).

[0026] S34. Under steady-state conditions of cerebrospinal fluid (CSF) circulation, a balance is achieved between the natural rate of CSF production and the rates of CSF storage and absorption. The pressure difference in this equilibrium state depends primarily on the rate of CSF production and the resistance to CSF ​​outflow through the arachnoid villi. Therefore, the steady-state intracranial resting pressure... Compression of the dural venous sinus CSF outflow resistance and cerebrospinal fluid formation rate The calculation formula for joint adjustment is as follows: (9); Substituting formulas (8) and (5) into formula (9), a mathematical model of cerebrospinal fluid circulation is established, and a function relating intracranial pressure and infusion duration is constructed. The formula is as follows: (10).

[0027] S4. Substitute the collected baseline intracranial pressure, intracranial pressure plateau phase, and other multimodal physiological indicators into the cerebrospinal fluid circulation model to calculate the relevant parameters of cerebrospinal fluid dynamics. These parameters include cerebrospinal fluid outflow resistance, intracranial pressure pulse amplitude, and elasticity coefficient. The specific calculation of the relevant parameters of cerebrospinal fluid dynamics is as follows: S41. Solve equation (10) using the integral factor method. The equation is as follows: (11); among which, Let be the independent variable during integration.

[0028] S42. Through infusion test Rise to Afterwards, the pressure gradually shifted from When it drops to resting pressure, that is The expression for the relationship between intracranial pressure and infusion time is as follows: (12); among them, This represents the value at which intracranial pressure rises to a plateau.

[0029] S43, Under resting pressure conditions, Intracranial pressure It is the steady-state value, that is Infusion speed ,and It is a constant. The calculation formula is as follows: (13); among them, This refers to the infusion rate.

[0030] S44. The above analysis is based on Analysis was performed under the given conditions, but in the actual circulation of cerebrospinal fluid, Therefore, it is necessary to Intracranial pressure was considered in the model. The formula for calculating the duration of intravenous drainage is as follows: (14).

[0031] S45. During the constant pressure infusion test, dynamic data from the resting state to the steady state are collected, and calculations are performed on the data. For constant pressure infusion under steady-state conditions, the differential equation simplifies to: (15); S46. Solve for the CSF outflow resistance parameters. The calculation formula is as follows: (16); among them, It is the steady-state intracranial pressure generated by constant pressure infusion.

[0032] Frequency domain analysis of intracranial pressure (ICP) yields the ICP pulse amplitude. This amplitude is defined as the pressure pulse intensity, specifically the pressure difference between the maximum value and two adjacent minimum values ​​of each pulse. In this embodiment, for example... Figure 2 As shown, under conditions of high compliance, the amplitude of intracranial pressure pulses caused by volume changes is small; however, when compliance decreases, the amplitude of intracranial pressure pulses increases significantly. Therefore, it is believed that the amplitude of intracranial pressure pulses can reflect the increase in intracranial pressure within a certain range. Simultaneously, the elasticity coefficient is used to represent brain compliance. A low elasticity coefficient indicates poor brain compliance and may indicate vascular lesions, providing doctors with new assessment ideas and methods.

[0033] S5. An assessment report is generated based on the calculated cerebrospinal fluid dynamics parameters, providing objective quantitative evidence according to the parameter values ​​and preset assessment thresholds. This embodiment provides, for example... Figure 3 The assessment report shown, such as Figure 3 As shown in Figure A, the outflow resistance is 17.90 mmHg. For min / ml, shunt surgery would be extremely beneficial; Figure 3 As shown in Figure B, the outflow resistance is 9.73 mmHg. The blood pressure was min / ml, the benefit of shunt surgery was minimal, making shunt surgery unsuitable, and other neurological diseases were considered.

[0034] Based on the model established by this method, this embodiment provides application results. By collecting and analyzing six cerebrospinal fluid circulation dynamics indicators—baseline intracranial pressure, intracranial pressure plateau period, baseline intracranial pressure pulse amplitude, intracranial pressure pulse amplitude plateau period, outflow resistance, and elasticity coefficient—from 131 cases in the control group (n=49) and the positive group (n=82), significant differences were found in the baseline intracranial pressure pulse amplitude (Mean±SD, 0.29±0.22 vs. 0.48±0.39, p=0.001), the intracranial pressure pulse amplitude plateau period (1.67±0.87 vs. 2.57±2.19, p=0.001), and the cerebrospinal fluid outflow resistance (12.44±6.01 vs. 17.75±15.42, p=0.024). Figure 4 As shown, the baseline intracranial pressure pulse amplitude, the plateau phase of intracranial pressure pulse amplitude, and cerebrospinal fluid outflow resistance can all serve as assessment markers for idiopathic normobaric hydrocephalus, assisting physicians in auxiliary analysis.

[0035] Therefore, this invention employs the aforementioned multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation. By monitoring various physiological parameters such as intracranial pressure after the establishment of the cerebrospinal fluid pathway, outflow resistance is calculated, thereby improving the accuracy of hydrocephalus assessment, shortening the assessment time, and providing a basis for early intervention.

[0036] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation, characterized in that, Includes the following steps: S1. Obtain baseline data of intracranial pressure associated with cerebrospinal fluid circulation from clinical pre-collection, select a continuous 5-minute effective data segment, establish an intracranial pressure benchmark, and use it as the basic data state for subsequent modeling. S2. Based on the intracranial pressure benchmark, import the dynamic data of intracranial pressure under the condition of uniform saline infusion; determine the stable plateau period of intracranial pressure through data fitting, and import the stable multimodal physiological index data of the plateau period for 5 minutes. S3. Based on the intracranial compliance characteristics and combined with the law of fluid conservation, parameters such as cerebrospinal fluid formation rate, saline infusion rate, cerebrospinal fluid circulation absorption, and intracranial cerebrospinal fluid storage were incorporated. Intracranial pressure, dural venous sinus pressure, and cerebrospinal fluid outflow resistance were correlated to derive the function of intracranial pressure changing with time and establish a cerebrospinal fluid circulation model. S4. Substitute the intracranial pressure baseline, intracranial pressure plateau period and other multimodal physiological index data into the cerebrospinal fluid circulation model to calculate the cerebrospinal fluid dynamic parameters, including cerebrospinal fluid outflow resistance, intracranial pressure pulse amplitude and elasticity coefficient. S5. Generate an assessment report based on the calculated cerebrospinal fluid dynamics parameters, and provide objective quantitative basis according to the values ​​of the cerebrospinal fluid dynamics parameters and the preset assessment threshold.

2. The multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation according to claim 1, characterized in that, In S2, the multimodal physiological index data includes intracranial pressure data transmitted by a medical pressure sensor, blood oxygen data transmitted by a blood oxygen probe, and heart rate data transmitted by a five-lead electrocardiogram monitor. The intracranial pressure data, blood oxygen data, and heart rate data are monitored, recorded, and stored in real time by a monitor and ICM+ multimodal detection software.

3. The multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation according to claim 2, characterized in that, In S3, the process of establishing the cerebrospinal fluid circulation model is as follows: S31. Intracranial compliance represents the volumetric compensatory function within the cranial cavity, which is the volume change produced by a unit change in intracranial pressure. The calculation formula is as follows: (1)； in, For intracranial compliance, Indicates changes in intracranial volume. Indicates changes in intracranial pressure; When the volume of the craniospinal space increases, compliance under low intracranial pressure is significantly higher than compliance under high intracranial pressure. The calculation formula is transformed into: (2); where, K This represents the specific elastic constant of the cerebrospinal fluid circulation system; In the modeling of cerebrospinal fluid circulation, there exists a constant cerebrospinal fluid storage pressure. The expression for intracranial compliance in this modeling is: (3)； This model includes the entire circulation pathway of cerebrospinal fluid in the human body, and also includes the case of infusion of physiological saline. S32. Based on the law of conservation of fluids, the total inflow of a fluid is equal to its outflow, as expressed below: (4); among which, Cerebrospinal fluid formation rate, This is the rate of saline infusion in subsequent infusion experiments. The cerebrospinal fluid pathway is for continued circulation and absorption. The pathway for cerebrospinal fluid stored in the cranium to support and protect the brain; Intracranial pressure and dural venous sinus pressure The difference between them is calculated using the following formula: (5); among them, For CSF outflow resistance, This refers to the pressure of the dural venous sinus. S33. Using formulas (1) and (2), calculate the intracranial pressure. Function of change over time: (6); among them, For time, For changes over time; Calculate the cerebrospinal fluid storage pathway while keeping cerebral blood flow constant. The formula is as follows: (7)； Combining formulas (6) and (4), the calculation results are as follows: (8)； S34, Steady-state intracranial resting pressure Compression of the dural venous sinus CSF outflow resistance and cerebrospinal fluid formation rate The calculation formula for joint adjustment is as follows: (9)； Substituting formulas (8) and (5) into formula (9), a mathematical model of cerebrospinal fluid circulation is established, as follows: (10)。 4. The multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation according to claim 3, characterized in that, In S4, the calculation of cerebrospinal fluid dynamics-related parameters is as follows: S41. Solve equation (10) using the integral factor method. The equation is as follows: (11); among which, For the integration process; S42. Through infusion test Rise to After that, the pressure gradually shifted from The relationship between intracranial pressure and infusion time when the pressure drops to resting pressure is expressed as follows: (12); among them, This represents the value during the plateau phase of intracranial pressure. S43, Under resting pressure conditions, Intracranial pressure It is the steady-state value, that is Infusion speed , The calculation formula is as follows: (13); among them, Infusion rate; S44, in Under the conditions, The calculation formula is as follows: (14)； S45. During the constant pressure infusion test, dynamic data from the resting state to the steady state are collected, and calculations are performed on the data. For constant pressure infusion under steady-state conditions, the differential equation simplifies to: (15)； S46. Solve for the CSF outflow resistance parameters. The calculation formula is as follows: (16); among them, It is the steady-state intracranial pressure generated by constant pressure infusion.

5. The multimodal data analysis and hydrocephalus assessment model based on cerebrospinal fluid circulation according to claim 4, characterized in that, In S4, intracranial pressure is extracted by frequency domain analysis to obtain the intracranial pressure pulse amplitude. The intracranial pressure pulse amplitude reflects the increase in intracranial pressure within a certain range. At the same time, the elasticity coefficient is used to represent brain compliance. When the elasticity coefficient is low, it indicates poor brain compliance.

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