CN-121817815-B - Reproduction function state evaluation system based on multi-mode physiological data

CN121817815BCN 121817815 BCN121817815 BCN 121817815BCN-121817815-B

Abstract

The invention relates to the technical field of reproductive function state evaluation, in particular to a system for evaluating the reproductive function state based on multi-mode physiological data. The system comprises a data acquisition module, a data analysis module, a physiological resistance index acquisition module and a data processing module, wherein the data acquisition module is used for acquiring blood sugar, heart rate, acceleration data and follicle diameter, the data analysis module is used for dividing sleep and awake periods, calculating blood sugar deficiency degree in the sleep period, determining synchronization degree representing nerve-metabolism regulating rigidity according to correlation of blood sugar and heart rate reverse linkage events in the awake period, the physiological resistance index acquisition module is used for calculating a physiological resistance index according to blood sugar deficiency degree, reverse linkage frequency obtained through synchronization degree gain and follicle diameter susceptibility weight, and the data processing module is used for acquiring an evaluation result by combining follicle growth condition and physiological resistance index. The invention solves the problem that the insufficient drug dosage and the excessive resistance of the organism environment are difficult to distinguish by quantifying the nerve-metabolism rigidity and the environmental resistance, and effectively improves the accuracy of evaluating the reproductive function state.

Inventors

XIA PING
LIU FANG
LIU ZHIYAN
HUANG YU
GE RONG
DENG YOUJIN
LIN JING
Shen Fenfang
LIN RONG
ZHANG YANRU
WENG XIAOYING
XU JIAN
WANG JUNJUN
ZHANG WEIJUN

Assignees

福州大学附属省立医院

Dates

Publication Date: 20260512
Application Date: 20260312

Claims (10)

1. A reproductive function status assessment system based on multimodal physiological data, the system comprising: The data acquisition module is used for acquiring blood sugar data, heart rate data and body movement acceleration data of the target object at each moment in a specified time period; the data analysis module is used for dividing a sleep period and a wake period of a specified time period based on the change condition of the body movement acceleration data; identifying reverse linkage event fragments with reverse changes between blood glucose data and heart rate data in a waking period, and acquiring synchronization degrees representing nerve-metabolism regulating rigidity based on the change correlation conditions of the blood glucose data and the heart rate data in the reverse linkage event fragments; The physiological resistance index acquisition module is used for acquiring a physiological resistance index of a target object according to the blood glucose deficiency degree and a result of nonlinear gain processing on the frequency of the reverse linkage event fragments by utilizing the synchronization degree and combining a nonlinear mapping result of the follicle diameter observation value; The data processing module is used for acquiring an evaluation result of the reproductive function state based on the change condition of the follicle diameter observation value and combining with the physiological resistance index.
2. The reproduction function state evaluation system based on multi-modal physiological data according to claim 1, wherein the sleep period and awake period acquisition method is as follows: Sliding the first sliding window in a designated time period according to a time sequence, acquiring variances of body movement acceleration data in the time period corresponding to each sliding window, and sequentially arranging according to the acquisition sequence to acquire an acceleration variance sequence; taking a time period corresponding to a variance value continuously smaller than a preset static threshold value in the acceleration variance sequence as a sleep time period; the period other than the sleep period within the specified period is taken as the awake period.
3. The system for evaluating the reproductive function status based on multi-modal physiological data as set forth in claim 1, wherein the method for obtaining the blood glucose deficiency level is as follows: for any time in the sleep period, taking the difference value between the preset blood sugar baseline and the blood sugar data at the time as a blood sugar deficiency analysis value at the time; When the blood glucose deficiency analysis value is greater than or equal to 0, the blood glucose deficiency analysis value is taken as the blood glucose deficiency value at the moment; When the analysis value of blood glucose deficiency is smaller than 0, taking 0 as the blood glucose deficiency value at the moment; and taking the accumulated result of the blood glucose deficiency values at all times in the sleeping period as the blood glucose deficiency degree of the sleeping period.
4. The reproduction function state evaluation system based on multi-modal physiological data according to claim 1, wherein the method for acquiring the reverse linkage event segment is as follows: Sliding the second sliding window in the awake period according to the time sequence, and taking the corresponding end time of each sliding as the analysis time of each sliding; For any analysis time, acquiring the slope of a straight line fitted by blood glucose data in a local time period corresponding to the sliding of the analysis time according to the time sequence, and taking the slope as a first change value of the analysis time; Acquiring the slope of a straight line fitted by heart rate data in a local time period corresponding to the sliding at the analysis moment according to the time sequence, and taking the slope as a second change value at the analysis moment; when the first change value is smaller than a preset descending threshold value and the second change value is larger than a preset ascending threshold value, marking the analysis time as reverse linkage time; And taking a segment formed by each reverse linkage moment and the preset adjacent analysis moment as a reverse linkage event segment, wherein if one reverse linkage moment is the preset adjacent analysis moment of the other previous reverse linkage moment, the reverse linkage event segment corresponding to the reverse linkage moment is not acquired.
5. The system for evaluating the reproductive function status based on multimodal physiological data as set forth in claim 4, wherein the method for acquiring the degree of synchronization is as follows: For any reverse linkage event segment, arranging the first change value of each analysis moment in the reverse linkage event segment according to a time sequence to obtain a first change sequence; Arranging the second change value of each analysis moment in the reverse linkage event fragment according to a time sequence to obtain a second change sequence; Taking the absolute value of the pearson correlation coefficient of the first change sequence and the second change sequence as the correlation degree of the reverse linkage event segment; The mean value of the correlation degree of all the reverse linkage event fragments is used as the synchronization degree for representing the nerve-metabolism regulating rigidity.
6. The system for evaluating the reproductive function status based on multi-modal physiological data as set forth in claim 1, wherein the method for obtaining the physiological resistance index is as follows: taking the product of the first preset damping coefficient and the blood sugar deficiency degree as a metabolic deficiency characteristic value; the result of nonlinear gain processing on the frequency of the reverse linkage event fragments by using the synchronization degree is used as a nerve regulation rigidity characteristic value; Vector synthesis results of the metabolic deficiency characteristic values and the nerve regulation rigidity characteristic values are used as basic inhibition rates; Taking the difference between the follicle diameter observation value and a preset critical threshold value as a susceptibility weight as a nonlinear mapping result; and taking the product of the susceptibility weight and the basic inhibition rate as a physiological resistance index of the target object.
7. The system for assessing the reproductive function status based on multimodal physiological data of claim 6 wherein the neural modulation stiffness characteristic is calculated by the formula: wherein Y is the characteristic value of nerve regulation rigidity, N is the number of reverse linkage event fragments, C is the degree of synchronization; A second preset damping coefficient; is a preset gain factor.
8. The reproduction function status assessment system according to claim 6, wherein the susceptibility weights are calculated according to the formula: In the formula (I), in the formula (II), Is a susceptibility weight; is the current observation value of the diameter of the follicle; is a preset critical threshold; is a preset change factor, exp is an exponential function based on a natural constant.
9. The system for evaluating the reproductive function status based on multi-modal physiological data as set forth in claim 1, wherein the method for acquiring the evaluation result of the reproductive function status is as follows: Obtaining a follicle growth rate according to the change condition of the current follicle diameter observation value relative to the historical follicle diameter observation value; Taking the ratio of the follicular growth rate to the physiological resistance index as the growth persistence; when the growth persistence degree is greater than or equal to a preset safety threshold value, the evaluation result of the reproductive function state is normal growth; When the growth persistence degree is smaller than a preset safety threshold value, obtaining an addition result of the metabolic deficiency characteristic value and the nerve regulation rigidity characteristic value as a first result; Taking the ratio of the metabolic deficiency characteristic value in the first result as the metabolic component ratio; when the metabolic component duty ratio is larger than a preset duty ratio threshold value, the evaluation result of the reproductive function state is metabolic substrate starvation; When the metabolic component duty cycle is less than or equal to the preset duty cycle threshold, the evaluation result of the reproductive function state is neural pathway stiffness.
10. The reproductive function status assessment system based on multimodal physiological data of claim 9, wherein the follicular growth rate is obtained by: taking the difference between the current observed value of the follicle diameter and the observed value of the follicle diameter obtained last time as a first difference; taking the difference between the acquisition time of the current follicle diameter observation value and the last acquisition time as a first interval duration; The ratio of the first difference to the first interval duration was taken as the follicular growth rate.

Description

Reproduction function state evaluation system based on multi-mode physiological data Technical Field The invention relates to the technical field of reproductive function state evaluation, in particular to a system for evaluating the reproductive function state based on multi-mode physiological data. Background Polycystic ovary syndrome is a major cause of ovulation failure in women of childbearing age, and one of its clinical features is the unexpected growth arrest or lockout of dominant follicles in advanced stages of development, leading to failure of ovulation-promoting therapy. Modern reproductive physiology studies indicate that polycystic ovarian syndrome patients are often accompanied by special pathological mechanisms, namely, on one hand, stress hormone rebound is induced by the lack of energy metabolism homeostasis (such as hypoglycemia) at night, luteinizing hormone pulse is inhibited, and on the other hand, the response of the sympathetic nervous system to metabolic fluctuations presents pathological rigid locking, which leads to excessive contraction of ovarian vessels and blocks blood flow perfusion. The microscopic physiological resistance can form a strong resistance to the action of the drug. Current clinical monitoring means rely mainly on transvaginal ultrasound examination and serum hormone detection. However, ultrasound examination has hysteresis, which reflects the final morphological result, and when follicular growth arrest is observed, it means that the follicle is damaged and irreversible, and secondly, serum hormone detection has discreteness, which can reflect only the instant state at the time of blood collection, and it is difficult to capture continuous physiological fluctuations such as nocturnal latent hypoglycemia or diurnal autonomic nerve regulation abnormality. Therefore, the prior art lacks the capability of fusing continuous physiological signals and morphological data, and cannot accurately and quantitatively evaluate complex nerve-metabolism coupling resistance, so that different situations of insufficient medicine dosage and overlarge resistance of organism environment are difficult to distinguish, and thus, the dosage of ovulation-promoting medicine cannot be accurately controlled, and the accurate treatment of polycystic ovary syndrome is affected. Disclosure of Invention In order to solve the technical problems that the dynamic resistance of the organism environment to follicular development cannot be accurately estimated due to the lack of quantification means of nerve-metabolism coupling rigidity in the prior art, and thus the reproductive function state estimation is inaccurate, the invention aims to provide a reproductive function state estimation system based on multi-mode physiological data, and the adopted technical scheme is as follows: the embodiment of the invention provides a reproduction function state evaluation system based on multi-mode physiological data, which comprises the following components: The data acquisition module is used for acquiring blood sugar data, heart rate data and body movement acceleration data of the target object at each moment in a specified time period; the data analysis module is used for dividing a sleep period and a wake period of a specified time period based on the change condition of the body movement acceleration data; identifying reverse linkage event fragments with reverse changes between blood glucose data and heart rate data in a waking period, and acquiring synchronization degrees representing nerve-metabolism regulating rigidity based on the change correlation conditions of the blood glucose data and the heart rate data in the reverse linkage event fragments; The physiological resistance index acquisition module is used for acquiring a physiological resistance index of a target object according to the blood glucose deficiency degree and a result of nonlinear gain processing on the frequency of the reverse linkage event fragments by utilizing the synchronization degree and combining a nonlinear mapping result of the follicle diameter observation value; The data processing module is used for acquiring an evaluation result of the reproductive function state based on the change condition of the follicle diameter observation value and combining with the physiological resistance index. Further, the method for acquiring the sleep period and the awake period comprises the following steps: Sliding the first sliding window in a designated time period according to a time sequence, acquiring variances of body movement acceleration data in the time period corresponding to each sliding window, and sequentially arranging according to the acquisition sequence to acquire an acceleration variance sequence; taking a time period corresponding to a variance value continuously smaller than a preset static threshold value in the acceleration variance sequence as a sleep time period; the period other than the sleep period within the