CN-118766427-B - Vascular parameter monitoring method and vascular parameter monitoring equipment

CN118766427BCN 118766427 BCN118766427 BCN 118766427BCN-118766427-B

Abstract

The application relates to a blood vessel parameter monitoring method and blood vessel parameter monitoring equipment. The method comprises the steps of obtaining finger pressure information and finger artery physiological information in a monitoring period, obtaining an oscillation envelope actual value through the finger artery physiological information, obtaining a pulse transmission time actual value through the finger artery physiological information, obtaining a first model, obtaining a second model, conducting objective function optimization through the first model and the second model in a combined mode to obtain an estimated value of vascular parameters in the monitoring period, generating an objective function based on a first error and a second error, wherein the first error is obtained through the oscillation envelope actual value and an oscillation envelope estimated value generated based on the first model, and the second error is obtained through the pulse transmission time actual value and a pulse transmission time estimated value generated based on the second model. By adopting the method, the accuracy and the robustness of the estimation of the blood vessel parameters can be improved.

Inventors

ZHENG YALI
ZHONG ZHIQIANG
ZHANG GUANTONG
SHI SUXIANG

Assignees

深圳技术大学

Dates

Publication Date: 20260505
Application Date: 20240701

Claims (10)

1. A method of monitoring vascular parameters, the method comprising: Acquiring finger pressure information and finger artery physiological information in a monitoring period; acquiring an oscillation envelope actual value by using the finger artery physiological information, and acquiring a pulse transmission time actual value by using the finger artery physiological information; Obtaining a first model, wherein the first model is used for obtaining an oscillation envelope estimated value based on the finger pressure information and the blood vessel parameter; And performing objective function optimization on the first model and the second model simultaneously to obtain an estimated value of the vascular parameter in the monitoring period, wherein the objective function is generated based on a first error and a second error, the first error is obtained by the actual oscillation envelope value and the estimated oscillation envelope value generated based on the first model, and the second error is obtained by the actual pulse transmission time value and the estimated pulse transmission time value generated based on the second model.
2. The method of claim 1, wherein the finger arterial physiological information comprises a photoplethysmogram signal, and wherein the obtaining a pulse transit time actual value using the finger arterial physiological information comprises: acquiring a maximum pulse transmission time and a minimum pulse transmission time within the monitoring period based on the photoplethysmogram signal; And acquiring a pulse transmission time actual value by utilizing the maximum pulse transmission time and the minimum pulse transmission time.
3. The method of claim 2, wherein said obtaining a pulse transit time actual value using said maximum pulse transit time and said minimum pulse transit time comprises: calculating the ratio of the square value of the maximum pulse transmission time to the square value of the minimum pulse transmission time; taking the logarithm of the ratio to obtain the pulse transmission time actual value.
4. The method of claim 2, wherein said obtaining an oscillation envelope actual value using said finger arterial physiological information comprises: detecting peak points of the photoplethysmogram signals one by one to obtain an upper envelope; Detecting valley points of the photoplethysmogram signals one by one to obtain a lower envelope; and obtaining the actual value of the oscillation envelope by using the upper envelope and the lower envelope.
5. The method of claim 2, wherein the vascular parameters include a blood pressure parameter, an initial vascular volume parameter, and an arterial stiffness index parameter, the obtaining a first model comprising: acquiring an arterial compliance function, wherein the arterial compliance function characterizes a blood vessel volume based on a relationship among the initial blood vessel volume parameter, the arterial stiffness index parameter, and an arterial vessel wall penetration pressure variable; The first model is obtained using the arterial compliance function.
6. The method of claim 5, wherein the blood pressure parameters include a target systolic pressure parameter and a target diastolic pressure parameter, the arterial transvascular wall pressure variable being related to the target systolic pressure parameter, the target diastolic pressure parameter, and the finger pressure information, the obtaining the first model using the arterial compliance function comprising: Acquiring a blood vessel volume function corresponding to the target systolic pressure parameter by utilizing the finger pressure information and the target systolic pressure parameter based on the arterial compliance function, and acquiring a blood vessel volume function corresponding to the target diastolic pressure parameter by utilizing the finger pressure information and the target diastolic pressure parameter based on the arterial compliance function; And obtaining the first model based on the blood vessel volume function corresponding to the target systolic pressure parameter and the blood vessel volume function corresponding to the target diastolic pressure parameter.
7. The method of claim 6, wherein the target systolic pressure parameter is related to a maximum systolic pressure parameter and a minimum systolic pressure parameter, the maximum systolic pressure parameter corresponding to a minimum pulse transit time parameter, the minimum systolic pressure parameter corresponding to a maximum pulse transit time parameter, the obtaining the second model comprising: obtaining a pulse wave transfer velocity function based on the arterial compliance function; Obtaining a pulse wave transmission time function by utilizing the pulse wave transmission speed function and the pulse transmission distance; determining a maximum pulse transfer time function using the minimum systolic pressure parameter based on the pulse transfer time function, determining a minimum pulse transfer time function using the maximum systolic pressure parameter to obtain the second model using the maximum pulse transfer time function and the minimum pulse transfer time function.
8. The method of claim 7, wherein the obtaining the second model using the maximum pulse transit time function and the minimum pulse transit time function comprises: obtaining the ratio of the square number of the maximum pulse transmission time function to the square number of the minimum pulse transmission time function; And taking the logarithm of the ratio to obtain a second model, wherein the unknown parameters in the second model are the unknown parameters in the first model.
9. The method of claim 2, wherein the finger arterial physiological information further comprises an electrocardiographic signal, and wherein the obtaining the pulse transit time actual value using the finger arterial physiological information comprises: obtaining the pulse wave phase difference of fingers at different positions by using the photoplethysmograph signal to obtain the pulse transmission time actual value, or Obtaining a second characteristic point of pulse wave of the finger at a single position by utilizing the photoplethysmogram signal, and obtaining a first characteristic point of the electrocardiosignal; And obtaining the phase difference between the first characteristic point and the second characteristic point to obtain the pulse transmission time actual value.
10. A vascular parameter monitoring device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 9.

Description

Vascular parameter monitoring method and vascular parameter monitoring equipment Technical Field The application relates to the technical field of blood pressure monitoring, in particular to a blood vessel parameter monitoring method and blood vessel parameter monitoring equipment. Background Blood pressure is a key indicator for clinical diagnosis and treatment of cardiovascular diseases. Hypertension can significantly increase the incidence of various cardiovascular risks such as cerebral stroke, coronary artery disease, heart failure, atrial fibrillation, peripheral vascular disease, and the like. Closely monitoring the trend of blood pressure changes can further understand the pathogenesis of cardiovascular diseases, thereby implementing more accurate and effective management and control. At present, the mobile equipment has higher popularity, and daily monitoring of human health information such as activity states, heart rate and the like is realized. The blood pressure monitoring technology based on the mobile equipment can provide long-term continuous feedback for users, is hopeful to promote early diagnosis and active management of cardiovascular diseases, and provides powerful guarantee for the health of people. Most current smart phone based blood pressure detection studies rely mainly on a sensor built-in or external to the phone to illuminate the skin and capture its reflected light to detect volume changes of blood in the microvasculature, i.e. photoplethysmography (PPG). The photoplethysmography signal has a certain correlation with blood pressure and can be used for blood pressure estimation. However, the acquisition and analysis of the signals are easily affected by external light, movement interference and other factors, so that the estimation of the blood pressure value is inaccurate. Disclosure of Invention In view of the above, it is necessary to provide a blood vessel parameter monitoring method and a blood vessel parameter monitoring device capable of improving accuracy of detected blood pressure. In a first aspect, the present application provides a method for monitoring a vascular parameter, comprising: Acquiring finger pressure information and finger artery physiological information in a monitoring period; acquiring an oscillation envelope actual value by using the finger artery physiological information, and acquiring a pulse transmission time actual value by using the finger artery physiological information; Obtaining a first model, wherein the first model is used for obtaining an oscillation envelope estimated value based on the finger pressure information and the blood vessel parameter; And performing objective function optimization on the first model and the second model simultaneously to obtain an estimated value of the vascular parameter in the monitoring period, wherein the objective function is generated based on a first error and a second error, the first error is obtained by the actual oscillation envelope value and the estimated oscillation envelope value generated based on the first model, and the second error is obtained by the actual pulse transmission time value and the estimated pulse transmission time value generated based on the second model. In one embodiment, the finger arterial physiological information comprises a photoplethysmogram signal, and the acquiring the pulse transit time actual value using the finger arterial physiological information comprises: Acquiring a maximum pulse transmission time and a minimum pulse transmission time within a monitoring period based on the photoplethysmogram signal; and acquiring the pulse transmission time actual value by using the maximum pulse transmission time and the minimum pulse transmission time. In one embodiment, obtaining the pulse transit time actual value using the maximum pulse transit time and the minimum pulse transit time includes: Calculating the ratio of the square value of the maximum pulse transmission time to the square value of the minimum pulse transmission time; The comparison value is logarithmized to obtain the pulse transit time actual value. In one embodiment, obtaining the oscillation envelope actual value using the finger arterial physiological information includes: Detecting peak points of the photoplethysmogram signals one by one to obtain an upper envelope; detecting valley points of the photoplethysmogram signals one by one to obtain a lower envelope; And obtaining an oscillation envelope actual value by using the upper envelope and the lower envelope. In one embodiment, the vessel parameters further include an initial vessel volume parameter and an arterial stiffness index parameter, and the step of obtaining the first model includes: Acquiring an arterial compliance function, wherein the arterial compliance function characterizes the vessel volume based on a relationship among an initial vessel volume parameter, an arterial stiffness index parameter, and an arterial vessel wall-penetratin