CN-121983313-A - Tracking and collecting system for postoperative cognitive health information of perioperative elderly patients

CN121983313ACN 121983313 ACN121983313 ACN 121983313ACN-121983313-A

Abstract

The invention relates to the technical field of medical data processing, in particular to a tracking and collecting system for postoperative cognitive health information of a perioperative elderly patient. The system comprises a data acquisition module, a cognitive analysis module and a data correction module, wherein the data acquisition module, the cognitive analysis module and the data correction module are used for respectively acquiring multisource health data of an elderly patient, a single cognitive test process is divided into a plurality of time periods, attention-lowering indexes of the elderly patient are determined based on response time and error rate of each time period, attention-lowering indexes, the cognitive health data and weakness degree data of the elderly patient are analyzed, inhibition condition values of information acquisition accuracy of each time period are determined, the inhibition condition values are used as data weights of the cognitive health data and are input into a trained neural network model, and corrected cognitive health data are output. The invention effectively improves the evaluation accuracy of the postoperative cognitive function change of the perioperative elderly patients.

Inventors

ZHU JING
LI XIN
ZHU ZHIBO
ZHU LIJUAN
ZHANG SHIPING
ZHAO YIKANG
Ning Shasha

Assignees

陕西省人民医院(陕西省临床医学研究院)

Dates

Publication Date: 20260505
Application Date: 20260127

Claims (10)

1. The utility model provides a tracking collection system of perioperative old patient postoperative cognitive health information which characterized in that, this system includes following module: the data acquisition module is used for acquiring multi-source health data of the elderly patient, wherein the multi-source health data comprises cognitive health data and weakness degree data; The system comprises a cognitive analysis module, a control module and a control module, wherein the cognitive analysis module is used for dividing a single cognitive test into a plurality of time periods in the whole course, and determining attention-decreasing indexes of the elderly patients based on the response time and the error rate of each time period; The data correction module is used for inputting the suppression state value as the data weight of the cognitive health data to the trained neural network model and outputting corrected cognitive health data.
2. The tracking collection system for post-operative cognitive health information in perioperative elderly patients of claim 1, wherein the analyzing of attention loss indicators, cognitive health data and frailty data in elderly patients determines suppression status values for information acquisition accuracy for each time period comprises: comparing the current cognitive health data of the elderly patient with the standard cognitive health data, and determining the influence degree of the weak state of the elderly patient by combining the weak degree data; determining a degree of attention impact and a frailty index for each period of time in combination with the attention loss index and the degree of frailty state impact; based on the frailty index and the degree of attention impact for each time period, a suppression status value of the information acquisition accuracy for each time period is determined.
3. The tracking collection system for post-operative cognitive health information of a perioperative geriatric patient of claim 2, wherein the comparing the current cognitive health data of the senior patient to the standard cognitive health data, in combination with the frailty level data, determines the frailty state impact level of the senior patient, comprises: for different time points in the primary detection stage, performing deviation comparison of the current cognitive health data of the elderly patient and the standard cognitive health data, and determining a stage deviation value; Combining the stage deviation value and the weakness degree data to obtain the weakness state influence degree of the elderly patient.
4. The tracking and collecting system for post-operative cognitive health information of a perioperative elderly patient according to claim 2, wherein the attention impact degree obtaining method is as follows: respectively comparing the attention reduction index and the weak state influence degree of adjacent time periods to determine a change trend consistent value; And determining the attention influence degree by combining the change trend consistent value and the attention decline index, wherein the change trend consistent value and the attention decline index are in positive correlation with the attention influence degree.
5. The tracking and collecting system for post-operative cognitive health information of a perioperative elderly patient according to claim 2, wherein the method for obtaining the frailty index is as follows: The attention-lowering index is used as a numerator, the influence degree of the weak state is used as a denominator, and the ratio of the numerator to the denominator is used as the weak index.
6. The tracking collection system for post-operative cognitive health information in perioperative elderly patients of claim 2, wherein the determining a suppression status value for the accuracy of information collection for each time period based on the frailty index and the degree of attention impact for each time period comprises: performing curve fitting on the weakness index based on different time periods to obtain a weakness fitting index curve; Comparing the weakness index of each time period with the virtual fitting index corresponding to the same time period in the weakness fitting index curve to obtain a fitting deviation value; And determining the suppression condition value of the information acquisition accuracy of each time period by combining the fitting deviation value and the attention influence degree, wherein the fitting deviation value and the suppression condition value have a negative correlation, and the attention influence degree and the suppression condition value have a positive correlation.
7. The tracking and collecting system for post-operative cognitive health information in perioperative elderly patients of claim 4, wherein the determining the trend consistent value by comparing the attention-loss indicator and the extent of debilitation effect in adjacent time periods, respectively, comprises: Comparing attention reduction indexes of adjacent time periods to determine reduction differences; Comparing the influence degree of the weak state in adjacent time periods, and determining influence difference; analyzing the descending difference and the influence difference to determine a change trend consistent value, wherein the descending difference and the change trend consistent value form a positive correlation, and the influence difference and the change trend consistent value form a negative correlation.
8. The tracking and collecting system for post-operative cognitive health information of an perioperative geriatric patient of claim 1, wherein the determining an attention-loss indicator for the geriatric patient based on the response time and the error rate for each time period comprises: determining the duty ratio of the reaction time of each time period in the time period as the duty ratio of the reaction time period; Determining an initial drop index according to the reaction duration duty ratio and the error rate; And combining the initial decline index and the time of the time period to obtain the attention decline index of the aged patient.
9. The tracking and collecting system for post-operative cognitive health information of a perioperative elderly patient according to claim 8, wherein the combining the initial decline indicator and the time of day to obtain the decline indicator of attention of the elderly patient comprises: calculating average time values of initial time and ending time of the current time period; and taking the product value of the average moment value and the initial decline index as the concentration decline index of the aged patient.
10. The tracking and collecting system for post-operative cognitive health information of an perioperative elderly patient according to claim 1, wherein the neural network model is a recurrent neural network with an attention mechanism.

Description

Tracking and collecting system for postoperative cognitive health information of perioperative elderly patients Technical Field The invention relates to the technical field of medical data processing, in particular to a tracking and collecting system for postoperative cognitive health information of a perioperative elderly patient. Background With the increasing progress of aging of the population, the number of elderly patients undergoing surgical treatment has been on the trend of growing year by year. In this context, post-operative cognitive dysfunction in perioperative elderly patients is a clinically common post-operative complication, which mainly manifests as memory decline, difficulty in concentration, disorientation, and the like. The complications can directly influence the postoperative recovery process and the daily life quality of the patient, can possibly cause the occurrence rate of other postoperative complications to be increased, even increase the mortality of the patient, and form a remarkable challenge for postoperative health management of the elderly patient. In the process of acquiring the cognitive health information of the old patient after the operation in the perioperative period, the old patient is easier to generate negative physical states (such as weakness, fatigue and the like) due to the function decline of the physiological system of the old patient, and the acquired cognitive health information data accuracy is interfered, so that the accuracy of the acquired data is influenced. And because the cognitive health information score of the elderly patient in the weak and tired state is different from the health information score of the elderly patient in the normal state, the weaker the body is, the more obvious the difference is, and the weaker state can aggravate the degree of attentiveness and attentiveness with time. When the traditional knowledge health information is acquired, the interference of the physical state of the old patient, such as postoperative weakness, pain, drug side effects and the like, on the accuracy of data is not considered, for example, the weak patient may have low test score due to insufficient physical strength, the patient with distraction may have data deviation due to response delay, and all the factors can cause distortion of the cognitive function evaluation result and influence the effectiveness of clinical decision. Disclosure of Invention In order to solve the technical problem that the accuracy of acquired cognitive health information data is interfered, the invention aims to provide a tracking and collecting system for postoperative cognitive health information of a perioperative elderly patient, and the adopted technical scheme is as follows: In a first aspect, an embodiment of the present invention provides a tracking and collecting system for post-operative cognitive health information of an perioperative elderly patient, the system including the following modules: the data acquisition module is used for acquiring multi-source health data of the elderly patient, wherein the multi-source health data comprises cognitive health data and weakness degree data; The system comprises a cognitive analysis module, a control module and a control module, wherein the cognitive analysis module is used for dividing a single cognitive test into a plurality of time periods in the whole course, and determining attention-decreasing indexes of the elderly patients based on the response time and the error rate of each time period; The data correction module is used for inputting the suppression state value as the data weight of the cognitive health data to the trained neural network model and outputting corrected cognitive health data. In a second aspect, a method for tracking and collecting postoperative cognitive health information of a perioperative elderly patient is provided, the method comprising: acquiring multi-source health data of an elderly patient, wherein the multi-source health data comprises cognitive health data and weakness degree data; The method comprises the steps of dividing a single cognitive test into a plurality of time periods in the whole process, and determining an attention-lowering index of an elderly patient based on the response time and the error rate of each time period; And (3) taking the inhibition state value as the data weight of the cognitive health data, inputting the data weight of the cognitive health data into a trained neural network model, and outputting the corrected cognitive health data. In a third aspect, embodiments of the present invention provide an electronic device, including a memory and a processor, where the memory stores executable code, and where the processor executes the executable code to implement embodiments as possible in the first aspect. In a fourth aspect, embodiments of the present invention provide a computer program product comprising computer program code which, when run on a compute