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Cerebrospinal fluid shunt flow detection method

A technology of flow detection and cerebrospinal fluid, which is applied in liquid/fluid solid measurement, measurement flow/mass flow, measurement devices, etc., can solve the problems of high cost and inaccurate detection results, and achieve the goal of avoiding radiation, improving efficiency and saving money Effect

Inactive Publication Date: 2021-02-26
PUTIAN UNIV
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  • Description
  • Claims
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Problems solved by technology

[0005] (2) Using enhanced MRI brain examination, each time the cost is as high as more than 1,000 yuan and the test results are inaccurate [5，6]

Method used

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  • Cerebrospinal fluid shunt flow detection method
  • Cerebrospinal fluid shunt flow detection method
  • Cerebrospinal fluid shunt flow detection method

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Embodiment Construction

[0032] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0033] According to the detection method of cerebrospinal fluid shunt flow of the present invention, when the cerebrospinal fluid carrying the same thermal excitation source signal flows into any two sampling points, the time series signal function of the sampled color characteristic signal is similar to the waveform formed by time, And thus establish a mathematical model about the time correlation between any two sampling points, and obtain the time difference between any two sampling points by calculating the maximum value of the time function of the mathematical model, and then obtain the flow rate and flow rate of the cerebrospinal fluid; The method is specifically implemented as follows,

[0034] When the same thermal excitation source signal is excited, the cerebrospinal fluid carrying the same thermal excitation source signal flows...

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Abstract

The invention relates to a cerebrospinal fluid shunt flow detection computing method. According to the method, since waveforms, which are formed by time sequence signal functions and time of samplingsignals when cerebrospinal fluid which carries a same exciting source signal flows into any two sampling points, are similar, and subsequently, a time-function relation of the any two sampling pointsis established, so that by calculating the maximum value of the time functions, a time difference of the any two sampling points can be obtained, and subsequently, the flow velocity and the flow rat of the cerebrospinal fluid can be obtained. The computing method provided by the invention, in comparison with existing CT and MRI detection, can improve efficiency, save money and avoid radiation; andthe computing method, in comparison with such existing computing methods as calculating extreme values in a curve, a heat conduction equation and the like, can improve the convergence and robustnessof a numerical solution, so that patient's cerebrospinal fluid shunt flow detection under any conditions can be satisfied.

Description

technical field [0001] The invention relates to a method for detecting the shunt flow of cerebrospinal fluid. Background technique [0002] Cerebrospinal fluid shunt for hydrocephalus [1] A neurosurgical operation with obvious effect, such as figure 1 The part of the pipeline implanted in the human body is shown in . A silicone catheter is inserted into the ventricle, and the excess cerebrospinal fluid obstructed in the arachnoid is drained into the abdominal cavity with a set of one-way valves, where it is reabsorbed [2,3] . Surgery can quickly improve the neurological damage caused by hydrocephalus, but to exert long-term effects and effects, it is necessary to accurately control and adjust the cerebrospinal fluid shunt flow at any time. If the adjustment is correct and timely, the condition will improve; if the adjustment is wrong or delayed, the damage to the brain and medulla will be severe and even life-threatening. [0003] The premise of controlling and adjustin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00G01F1/00
CPCA61B5/00G01F1/00
Inventor 李同彬康新林清华
Owner PUTIAN UNIV
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