CN-121795888-B - Internal arteriovenous fistula patient complication risk early warning and nursing system

CN121795888BCN 121795888 BCN121795888 BCN 121795888BCN-121795888-B

Abstract

The invention relates to the technical field of personal health risk assessment, in particular to an arteriovenous fistula patient complication risk early warning and nursing system which comprises the following steps of obtaining target tremor data and target noise data of a target arteriovenous fistula patient at each moment in a current time period, determining a current tremor distribution index, a current noise distribution index and a physiological performance abnormality degree, obtaining an internal fistula ultrasonic image if the physiological performance abnormality degree is larger than a preset abnormality threshold value, determining an overall structure characteristic value according to gray level distribution conditions in an internal fistula area, wall thickness change conditions of an internal fistula wall and diameter change conditions of an internal fistula cavity, and determining a vascular stenosis complication risk assessment auxiliary value. The invention comprehensively analyzes various data related to the risk of the vascular stenosis complications, such as tremor data, noise data, ultrasonic images and the like, thereby improving the rationality of setting the auxiliary value of the risk assessment of the vascular stenosis complications and further improving the auxiliary effect.

Inventors

NI YANLIN
GAN PENGFEI
YANG LIPING

Assignees

自贡市第一人民医院

Dates

Publication Date: 20260508
Application Date: 20260309

Claims (9)

1. The utility model provides an internal arteriovenous fistula patient complication risk early warning and nursing system which is characterized in that the system comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and the computer program realizes the steps of an internal arteriovenous fistula patient complication risk early warning and nursing method when being executed by the processor, and the method specifically comprises the following steps: the tremor and noise data acquisition module is used for acquiring target tremor data and target noise data of a target arteriovenous fistula patient at each time in the current time period; The distribution index determining module is used for determining a current tremor distribution index according to the distribution change condition of the target tremor data in the current time period and determining a current noise distribution index according to the distribution change condition of the target noise data in the current time period; The physiological performance abnormality degree determining module is used for determining the physiological performance abnormality degree according to the current tremor distribution index and the current noise distribution index; the ultrasonic image acquisition module is used for acquiring an internal fistula ultrasonic image of a target internal arteriovenous fistula patient at the current moment if the physiological performance abnormality degree is greater than a preset abnormality threshold; the identification and determination module is used for identifying an internal fistula area, an internal fistula wall and an internal fistula cavity in the internal fistula ultrasonic image and determining an overall structure characteristic value according to the gray level distribution condition in the internal fistula area, the wall thickness change condition of the internal fistula wall and the diameter change condition of the internal fistula cavity; The complication risk assessment auxiliary value determining module is used for determining a vascular stenosis complication risk assessment auxiliary value according to the physiological expression abnormality degree and the overall structure characteristic value; The method comprises the steps of determining a current tremor distribution index according to the distribution change condition of target tremor data in a current time period, forming a target tremor data sequence at the current time period by all the target tremor data in the current time period, determining tremor performance characteristic values at the current time period according to the difference between adjacent target tremor data in the target tremor data sequence at the current time period, determining tremor performance characteristic values at each time period in the same way, and determining the current tremor distribution index according to the tremor performance characteristic values at the current time period and the difference between tremor performance characteristic values at adjacent time periods in the current time period.
2. The arteriovenous fistula-oriented patient complication risk early warning and care system of claim 1, wherein the determining the tremor performance characteristic value at the current time based on the difference between adjacent target tremor data in the target tremor data sequence at the current time comprises: And determining the tremor performance characteristic value at the current time according to the average value of all the target tremor data in the current time period and the average value of the absolute values of the differences between all the adjacent target tremor data in the target tremor data sequence at the current time.
3. The arteriovenous fistula-oriented patient complication risk early warning and care system of claim 1, wherein determining the current tremor distribution indicator based on the difference between the tremor performance characteristic value at the current time and the tremor performance characteristic value at an adjacent time in the current time period comprises: And determining a current tremor distribution index according to the tremor performance characteristic value at the current time and the average value of the difference values between tremor performance characteristic values at all adjacent times in the current time period.
4. The arteriovenous fistula-oriented patient complication risk early warning and care system of claim 1, wherein determining the degree of abnormality in physiological performance based on the current tremor distribution index and the current murmur distribution index comprises: Normalizing the product between the current tremor distribution index and the current noise distribution index to obtain the abnormal degree of physiological performance.
5. The system for providing early warning and care of complications to arteriovenous fistula patients according to claim 1, wherein determining the overall structural feature value based on gray scale distribution in the fistula area, wall thickness variation of the fistula wall, and diameter variation of the fistula lumen comprises: determining an internal fistula gray level distribution factor according to the average value and standard deviation of gray level values corresponding to all pixel points in the internal fistula area and the difference between gray level values corresponding to different pixel points in the internal fistula area; Determining an internal fistula wall thickness variation factor according to the difference between the maximum wall thickness and the minimum wall thickness of the internal fistula wall; determining an inner fistula cavity diameter change factor according to the diameter change condition of the inner fistula cavity; and determining the integral structural characteristic value of the integral fistula gray level distribution factor, the integral fistula wall thickness change factor and the integral fistula cavity diameter change factor.
6. The system for providing risk warning and care for complications of arteriovenous fistula patients according to claim 5, wherein determining the internal fistula gray scale distribution factor from the mean and standard deviation of gray scale values corresponding to all pixels in the internal fistula region and the difference between gray scale values corresponding to different pixels in the internal fistula region comprises: Determining the absolute value of the difference between gray values corresponding to every two pixel points in the internal fistula area as a target gray difference; and determining an internal fistula gray level distribution factor according to the average value and standard deviation of gray values corresponding to all pixel points in the internal fistula region and the maximum target gray level difference.
7. The arteriovenous fistula-facing patient complication risk early warning and care system of claim 5, wherein determining an internal fistula wall thickness variation factor from a difference between a maximum wall thickness and a minimum wall thickness of the internal fistula wall comprises: determining the difference between the maximum wall thickness and the minimum wall thickness of the internal fistula wall as the extremely poor target wall thickness; Determining the average value between the maximum wall thickness and the minimum wall thickness of the internal fistula wall as a wall thickness representative value; And determining the ratio of the target wall thickness range to the wall thickness representative value as an internal fistula wall thickness variation factor.
8. The system for providing risk of complications to arteriovenous fistula patients of claim 5, wherein determining the internal fistula lumen diameter change factor based on the diameter change of the internal fistula lumen comprises: Determining the average value between the maximum diameter and the minimum diameter of the internal fistula cavity as a diameter representative value; and determining the ratio between the maximum diameter of the inner fistula cavity and the representative value of the diameter as an inner fistula cavity diameter change factor.
9. The arteriovenous fistula-oriented patient complication risk early warning and care system of claim 1, wherein determining the auxiliary vascular stenosis complication risk assessment value based on the physiological performance abnormality degree and the overall structural feature value comprises: And normalizing the product between the physiological abnormal degree and the integral structure characteristic value to obtain the auxiliary value for evaluating the risk of the vascular stenosis complication.

Description

Internal arteriovenous fistula patient complication risk early warning and nursing system Technical Field The invention relates to the technical field of personal health risk assessment, in particular to an arteriovenous fistula patient complication risk early warning and nursing system. Background Along with the development of science and technology, the auxiliary value for assisting doctors in carrying out complication risk early warning and nursing reminding is more and more widely applied, for example, the auxiliary value can be applied to assisting doctors in carrying out complication risk early warning on patients with intravenous fistula, so that nursing reminding is realized. Vascular stenosis complications are relatively common complications of arteriovenous internal fistula patients. At present, when the risk early warning of the vascular stenosis complication is assisted, a method is generally adopted, wherein the risk early warning of the vascular stenosis complication is assisted by collected tremor data, and at the moment, the tremor data is often used as an auxiliary value for evaluating the risk of the vascular stenosis complication. However, when the risk early warning of complications of an intravenous fistula patient is assisted by collected tremor data, and thus nursing reminding is achieved, the following technical problems often exist: In practical situations, the risk situation of the vascular stenosis complication is often not affected by tremor data, so when the complication risk early warning assistance of the intravenous fistula patient is performed only by the collected tremor data, the rationality of the auxiliary value setting for assisting the vascular stenosis complication risk assessment for doctor to judge is poor due to single consideration factors, and the auxiliary effect is poor. Disclosure of Invention In order to solve the technical problem of poor auxiliary effect caused by poor rationality of vascular stenosis complication risk assessment auxiliary value setting, the invention provides an arteriovenous fistula patient-oriented complication risk early warning and nursing system. In a first aspect, the present invention provides a method for warning and caring for complications of an arteriovenous fistula patient, the method comprising: acquiring target tremor data and target noise data of a target arteriovenous fistula patient at each moment in a current time period; Determining a current tremor distribution index according to the distribution change condition of the target tremor data in the current time period, and determining a current murmur distribution index according to the distribution change condition of the target murmur data in the current time period; Determining the abnormal degree of physiological manifestation according to the current tremor distribution index and the current murmur distribution index; If the physiological performance abnormality degree is greater than a preset abnormality threshold, acquiring an internal fistula ultrasonic image of the target internal arteriovenous fistula patient at the current moment; identifying an internal fistula area, an internal fistula wall and an internal fistula cavity in an internal fistula ultrasonic image, and determining an overall structure characteristic value according to gray level distribution conditions in the internal fistula area, wall thickness change conditions of the internal fistula wall and diameter change conditions of the internal fistula cavity; And determining a vascular stenosis complication risk assessment auxiliary value according to the physiological expression abnormality degree and the overall structure characteristic value. With reference to the first aspect, in one possible implementation manner, the determining the current tremor distribution indicator according to the distribution change condition of the target tremor data in the current period includes: all the target tremor data in the current time period are formed into a target tremor data sequence at the current time, wherein the target tremor data sequence is a time sequence; Determining tremor expression characteristic values at the current time according to the difference between adjacent target tremor data in the target tremor data sequence at the current time, and similarly determining tremor expression characteristic values at each time in the current time period; And determining a current tremor distribution index according to the tremor expression characteristic value at the current time and the difference value between tremor expression characteristic values at the adjacent time in the current time period. With reference to the first aspect, in a possible implementation manner, the determining, according to a difference between adjacent target tremor data in the target tremor data sequence at the current time, a tremor performance feature value at the current time includes: And determining the tremor performance c