TW202126259A - Intelligent blood oxygen monitoring method, device, system, and program product as well as method for evaluating cardiopulmonary function based on blood oxygen status - Google Patents

Abstract

The present invention relates to an intelligent blood oxygen monitoring method, device, system, and program product as well as a method for evaluating cardiopulmonary function based on blood oxygen status. The method includes the following steps: obtaining a hemoglobin parameter in a brain tissue of the person to be monitored, wherein the hemoglobin parameter can be obtained through non-invasive optical detection; and calculating, according to the hemoglobin parameter, one or a combination of monitoring parameters I-IV, wherein the monitoring parameter I is the duration that the hemoglobin parameter rises from an initial value at the beginning of an incremental exercise to a peak value, the monitoring parameter II is the amount of change between the initial value and peak value of the hemoglobin parameter, the monitoring parameter III is the average rate of change between the initial value of the hemoglobin parameter at the beginning of the incremental exercise and the peak value of the hemoglobin parameter, and the monitoring parameter IV is the average rate of change between a value of the hemoglobin parameter at 60% of the incremental exercise and the peak value of the hemoglobin parameter. The above monitoring parameters can be introduced into a linear prediction system or a nonlinear prediction system, and the blood oxygen status of the person to be monitored can be evaluated based on a preset threshold. Further, the cardiopulmonary function of the person to be monitored can also be evaluated according to the blood oxygen status.

Description

Intelligent blood oxygen monitoring method, device, system, program product and method for assessing cardiopulmonary function based on blood oxygen status

The present invention relates to an intelligent blood oxygen monitoring method, device, system, program product and a method for assessing cardiopulmonary function based on blood oxygen status, and in particular refers to the use of hemoglobin parameters in the brain tissue of a subject to be monitored to obtain information related to blood oxygen status The invention of monitoring parameters, and then inputting the monitoring parameters into the linear or non-linear prediction system to evaluate and monitor the blood oxygen status of the brain tissue of the person to be monitored.

At present, the testing methods commonly used in clinical assessment of cardiopulmonary function include cardiopulmonary exercise testing system, cardiac ultrasound and computer tomography angiography. The cardiopulmonary exercise test system measures cardiopulmonary function through exercise under artificially controlled clinical conditions, and diagnoses the subject’s cardiopulmonary function by using various sensors such as an exhalation mask, ECG electrodes, and blood pressure monitor. . For example, the Republic of China Patent No. M327721 "Treadmill for monitoring blood oxygen concentration and heartbeat"; or, the Republic of China Patent Publication No. 201909843 "Blood oxygen concentration dynamic monitoring device and blood oxygen dynamic management warning system".

However, the above method has some disadvantages, including a large system volume, a variety of sensor configurations, the need for experienced medical personnel to calibrate the gas exchange system before the test, and the use of an exhalation mask will cause the subject to exercise during exercise. Unsmooth internal breathing results in limited exercise volume, and the ECG electrodes will cause sliding interference due to sweat. Cardiac ultrasound can non-invasively evaluate the structure and function of the heart through the ultrasound detector, and estimate the blood flow velocity through the Doppler effect. However, this method requires professional medical personnel to operate, because the detector is easily affected by bones and tissues. Doppler imaging is also closely related to the operating angle. Computed tomography is a non-invasive vascular imaging technique that uses electron beam tomography to assess the degree of coronary artery obstruction. However, due to its significant use of radiation and contrast agents, it is usually not recommended for asymptomatic patients. Screening.

In addition, there are related inventions that use optical methods to detect blood oxygen concentration, such as the Republic of China Invention Patent No. I637727 "Systems and devices for monitoring transabdominal fetal blood oxygen saturation and/or transabdominal fetal pulse blood oxygen saturation. And method", the case uses reflected fluorescence to detect the blood oxygen saturation of the fetus.

In addition to optically detecting the blood oxygen concentration of the person to be monitored, the present invention further evaluates the blood oxygen state of the person to be monitored according to the set monitoring parameters.

The present invention is an intelligent blood oxygen monitoring method, including:

Obtain a hemoglobin parameter in a brain tissue of a subject to be monitored, and calculate one or a combination of the following monitoring parameters based on the hemoglobin parameter: monitoring parameter I: the duration of the hemoglobin parameter from the start of the incremental movement to the peak; monitoring parameter II : The amount of change between the initial value and the peak value of the hemoglobin parameter; monitoring parameter III: the average change rate of the hemoglobin parameter from the start of the incremental movement to the peak; monitoring parameter IV: the hemoglobin parameter from 60% of the entire incremental movement to the peak value Average rate of change. Bring the above-mentioned monitoring parameters into the linear prediction system or the non-linear prediction system, and evaluate the blood oxygen status of the person to be monitored according to a preset threshold.

The present invention further proposes a method for assessing cardiopulmonary function based on blood oxygen status. When the above-mentioned monitoring parameters exceed the preset threshold, it is determined that the cardiopulmonary function of the person to be monitored is good, and vice versa, the cardiopulmonary function of the person to be monitored is determined to be poor .

Further, the hemoglobin parameter includes one or a combination of a hemoglobin concentration or a tissue oxygen rate. Furthermore, the hemoglobin concentration includes an oxygenated hemoglobin concentration, a deoxyhemoglobin concentration, and a total hemoglobin concentration; the first light wave having a wavelength between 600nm and 800nm and a second light wave having a wavelength between 800nm and 950nm are incident on the subject to be monitored And receive a first reflected light wave and a second reflected light wave of the first light wave and the second light wave, and obtain an oxygen in the brain tissue based on the first reflected light wave and the second reflected light wave The hemoglobin concentration and a deoxyhemoglobin concentration are used to obtain the total hemoglobin concentration and the oxygen content of the tissue. Preferably, the monitoring parameters are calculated based on the total hemoglobin concentration and the tissue oxygen rate.

Further, the tissue of the person to be monitored is the brain tissue of the person to be monitored.

Further, the linear prediction system or the nonlinear prediction system uses one of a neural network, a fuzzy theory system, or a chaos theory system.

The present invention further provides an intelligent blood oxygen monitoring device for obtaining a hemoglobin parameter in a tissue of a person to be monitored, including:

A light emitter for emitting a first light wave with a wavelength between 600 nm and 800 nm and a second light wave with a wavelength between 800 nm and 950 nm to the tissue of the subject to be monitored. A light receiver receives a first reflected light wave and a second reflected light wave of the first light wave and the second light wave. A micro-processing unit electrically connected to the light transmitter and the light receiver, the micro-processing unit controls the light transmitter to emit the first light wave and the second light wave, and receives the first reflected light wave and the second reflection The light wave is used to obtain the hemoglobin parameter, and the hemoglobin parameter includes an oxygenated hemoglobin concentration and a deoxygenated hemoglobin concentration.

The present invention further provides an intelligent blood oxygen monitoring system for detecting a hemoglobin parameter in a tissue of a person to be monitored to obtain the blood oxygen state of the person to be monitored, including the above-mentioned intelligent blood oxygen monitoring device and a A processor, the processor signal is connected to the intelligent blood oxygen monitoring device.

The processor receives the hemoglobin parameter, and calculates one or a combination of the following monitoring parameters based on the hemoglobin parameter: monitoring parameter I: the duration of the hemoglobin parameter from the start of the incremental movement to the peak; monitoring parameter II: the initial value of the hemoglobin parameter and The amount of change between peaks; monitoring parameter III: the average rate of change of the hemoglobin parameter from the beginning of the incremental movement to the peak; monitoring parameter IV: the average rate of change of the hemoglobin parameter from 60% of the entire incremental movement to the peak. Bring the above-mentioned monitoring parameters into the linear prediction system or the non-linear prediction system, and evaluate the blood oxygen status of the person to be monitored according to a preset threshold.

The present invention further provides a program product for storing an application program, and the application program is installed to execute the aforementioned intelligent blood oxygen monitoring method.

According to the above technical features, the following effects can be achieved:

1. The present invention can use an optical method to detect the blood oxygen concentration of the person to be monitored, and further evaluate the blood oxygen state of the person to be monitored according to the set monitoring parameters. Coupled with linear prediction systems such as neural networks, fuzzy theory systems, or chaotic theory systems, or nonlinear prediction systems to effectively divide different cardiopulmonary function groups based on preset thresholds, so that medical staff can suggest different groups for patients with cardiovascular diseases. Sports training and rehabilitation procedures.

2. The monitoring parameters set by the present invention can enable the linear prediction system or the nonlinear prediction system to accurately determine the blood oxygen state of the person to be monitored, and the accuracy of the prediction is as high as 90% according to the experimental results.

Based on the above technical features, the main effects of the intelligent blood oxygen monitoring method, device, system and method for assessing cardiopulmonary function based on blood oxygen status of the present invention will be clearly presented in the following embodiments.

Referring to Figures 1 to 3, the smart blood oxygen monitoring system of this embodiment includes a smart blood oxygen monitoring device (1) and a processor (2). The intelligent blood oxygen monitoring device (1) includes:

A light emitter (11), a driving circuit (111) and a light-emitting element (112). The light-emitting element (112) emits a first light wave with a wavelength between 600nm and 800nm and a second light wave with a wavelength between 800nm and 950nm. The light wave reaches the tissue (A) of a person to be monitored, which is the brain tissue of the person to be monitored in this embodiment. A light receiver (12), a receiving element (121) and a signal amplifying circuit (122), the receiving element (121) receives a first reflected light wave and a second light wave of the first light wave and the second light wave Reflected light waves. A micro-processing unit (13) is electrically connected to the light transmitter (11) and the light receiver (12), and the micro-processing unit (13) controls the light transmitter (11) to emit the first light wave and the first light wave. Two light waves are received, and the first reflected light wave and the second reflected light wave are received to obtain a hemoglobin parameter. The hemoglobin parameter includes an oxygenated hemoglobin concentration and a deoxyhemoglobin concentration. A wireless transmission unit (14) is electrically connected to the micro-processing unit (13) for outputting the hemoglobin parameter to the processor (2).

The optical method used in this embodiment to detect the blood oxygen concentration of the person to be monitored is Modified Beer-Lambert law (MBLL), which describes that when light of different wavelengths penetrates solutions of different concentrations, due to substances A formula for calculating the concentration of a substance that changes the light attenuation caused by its various absorption and scattering characteristics. The light attenuation will have a linear relationship with the molar extinction coefficient of the substance, the concentration of the substance, and the light path. Since the modified Beer-Lambert law (Modified Beer-Lambert law, MBLL) is a well-known law, its calculation method will not be repeated here. In this embodiment, different absorption values are obtained based on the absorption difference characteristics of different absorbing substances at the wavelengths before and after the isosbestic point. Among them, the near-infrared light section is mainly distributed between the wavelengths of 700 to 1400 nm. The penetrability is deep, it can measure deeper tissues, and can effectively reduce the attenuation of the tissue caused by the measurement. The isosbestic point of oxygenated hemoglobin and hypoxic hemoglobin in the near-infrared band of 600 to 1000 nm is about 800 nm, therefore, in this embodiment, the front and back wavelengths of 700 nm and 910 nm are used as the light source.

Referring to the first, third and fourth diagrams, the processor (2) receives the oxygenated hemoglobin concentration and the deoxygenated hemoglobin concentration, and obtains a total hemoglobin concentration and a tissue oxygen rate based on it, and Calculate one or a combination of the following monitoring parameters based on the total hemoglobin concentration and the tissue oxygen rate: monitoring parameter I: the duration of the hemoglobin parameter from the start of the incremental movement to the peak (T3); monitoring parameter II: the initial value of the hemoglobin parameter The amount of change between the peak value and the peak value (Vmax-Vinit); monitoring parameter III: the average rate of change of the hemoglobin parameter from the beginning of the incremental movement to the peak value ((A _v1 +A _v2 +A _v3 )/T3); monitoring parameter IV: The average rate of change of the hemoglobin parameter from 60% of the entire incremental movement to the peak value (A _v3 /(T3-T2)).

Refer to the first, third, and fifth diagrams, bring the above-mentioned monitoring parameters into a linear prediction system or a nonlinear prediction system such as neural network, fuzzy theory system or chaos theory system, and according to a preset valve Value to evaluate the blood oxygen status of the person to be monitored. The cardiopulmonary function of the person to be monitored can be further evaluated according to the blood oxygen status. When the above-mentioned monitoring parameters exceed the preset threshold, the cardiopulmonary function of the person to be monitored can be judged to be good, otherwise, the cardiopulmonary function of the person to be monitored can be judged to be poor In this way, different cardiopulmonary function groups can be effectively divided, so that medical staff can suggest different exercise training and rehabilitation procedures for patients with cardiovascular diseases.

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分別表示輸入層和隱藏層的神經元個數。透過k平均群聚演算法及正歸化最小方均演算法的訓練後，與預設閥值比對，而獲得該待監測者的血氧狀態。而輻射基底類神經網絡實際運算方式為習知技術，在此不贅述。Take the radiation-based neural network as an example. The structure of the radiation-based neural network is divided into three levels, namely the input layer, the hidden layer, and the output layer. Among them,

,

Indicates the number of neurons in the input layer and hidden layer, respectively. After training by the k-means clustering algorithm and the normalized least squares algorithm, compare with the preset threshold to obtain the blood oxygen status of the person to be monitored. The actual operation method of the radiating basal neural network is a conventional technology, which will not be repeated here.

However, the present invention uses the peak metabolic equivalent of 5 as the preset threshold value to classify patients with cardiovascular diseases into two groups with good and poor recovery of cardiopulmonary function. Metabolic equivalent is used to quantify the energy consumed by activities, and it can also be expressed as an individual’s aerobic exercise capacity. A metabolic equivalent is defined as the oxygen uptake when sitting still on a chair and resting, usually normalized by body weight, and its value is approximately 3.5 ml/kg/min. The oxygen uptake is related to the oxygen output of the heart arteries and mixed venous blood. When the maximum amount of exercise is reached, the maximum oxygen uptake is the most important parameter in the cardiopulmonary exercise testing system, because it is considered to define the limit of the cardiopulmonary system, and it reflects the maximum absorption, transportation and use of oxygen by the subject Ability. In healthy people, there will be a plateau of oxygen uptake when the maximum amount of exercise is approaching, which means that the maximum amount of oxygen uptake will continue to appear when the maximum amount of exercise is reached. However, patients who are unable to exercise vigorously may not achieve a significant plateau in their oxygen intake during the test. Therefore, peak oxygen uptake is often used to estimate maximum oxygen uptake. Previous studies have shown that the use of the maximum exercise test can be used as the main method of risk stratification, in which acute myocardial infarction (Acute Myocardial Infarction) is considered a high-risk group, and their peak metabolic equivalent is less than 5. Based on this, the cardiopulmonary function of the person to be monitored can be evaluated.

When the present invention is actually used, according to the experimental results, after the above-mentioned monitoring parameters are input into the radiation basal neural network for calculation, the accuracy of the cardiopulmonary function classification of the monitor is as high as 90%.

Based on the description of the above embodiments, when one can fully understand the operation and use of the present invention and the effects of the present invention, but the above embodiments are only the preferred embodiments of the present invention, and the implementation of the present invention cannot be limited by this. The scope, that is, simple equivalent changes and modifications made according to the scope of the patent application of the present invention and the content of the description of the invention, are all within the scope of the present invention.

(1): Intelligent blood oxygen monitoring device (11): Optical transmitter (111): Drive circuit (112): Light-emitting parts (12): Optical receiver (121): Receipt (122): Signal amplifier circuit (13): Micro-processing unit (14): Wireless transmission unit (2): Processor

[The first figure] is a schematic diagram of the intelligent blood oxygen monitoring system of the present invention.

[The second figure] is a schematic diagram of the use state of the intelligent blood oxygen monitoring system of the present invention.

[The third figure] is a flowchart of the intelligent blood oxygen monitoring method of the present invention.

[Fourth Figure] is a schematic diagram of the physical definition of each monitoring parameter under incremental motion when the present invention is implemented.

[Fifth Figure] is a schematic diagram of inputting monitoring parameters into a neural network for calculation in an embodiment of the present invention.

Claims (10)

An intelligent blood oxygen monitoring method, including: Obtain a hemoglobin parameter in a tissue of a subject to be monitored; Calculate one or a combination of the following monitoring parameters based on the hemoglobin parameter: Monitoring parameter I: the duration of the hemoglobin parameter from the beginning of an incremental movement to the peak value; Monitoring parameter II: the amount of change between the initial value and the peak value of the hemoglobin parameter; Monitoring parameter III: the average rate of change of the hemoglobin parameter from the start of the incremental movement to the peak value; Monitoring parameter IV: The average rate of change of the hemoglobin parameter from 60% of the entire incremental movement to the peak value; Bring the above-mentioned monitoring parameters into the linear prediction system or the non-linear prediction system, and evaluate the blood oxygen status of the person to be monitored according to a preset threshold. According to the intelligent blood oxygen monitoring method described in claim 1, wherein the hemoglobin parameter includes one or a combination of a hemoglobin concentration or a tissue oxygen rate. The intelligent blood oxygen monitoring method described in item 2 of the scope of patent application, wherein the hemoglobin concentration includes an oxygenated hemoglobin concentration, a deoxyhemoglobin concentration and a total hemoglobin concentration; the first light wave with a wavelength between 600nm and 800nm A second light wave with a wavelength between 800nm and 950nm is incident on the tissue of the subject to be monitored, and receives a first reflected light wave and a second reflected light wave of the first light wave and the second light wave, and according to the first reflected light wave The second reflected light wave obtains an oxygenated hemoglobin concentration and a deoxygenated hemoglobin concentration in the tissue, and obtains the total hemoglobin concentration and the oxygen content of the tissue accordingly. The intelligent blood oxygen monitoring method described in item 3 of the scope of patent application, wherein the monitoring parameters are calculated based on the total hemoglobin concentration and the oxygen content of the tissue. The intelligent blood oxygen monitoring method described in item 1 of the scope of patent application, wherein the linear prediction system or the non-linear prediction system uses one of a neural network, a fuzzy theory system, or a chaos theory system. An intelligent blood oxygen monitoring device used to obtain a hemoglobin parameter in a tissue of a person to be monitored, including: A light emitter for emitting a first light wave with a wavelength between 600nm and 800nm and a second light wave with a wavelength between 800nm and 950nm to the tissue of the subject to be monitored; A light receiver for receiving a first reflected light wave and a second reflected light wave of the first light wave and the second light wave; A micro-processing unit electrically connected to the light transmitter and the light receiver, the micro-processing unit controls the light transmitter to emit the first light wave and the second light wave, and receives the first reflected light wave and the second reflection The light wave is used to obtain the hemoglobin parameter, and the hemoglobin parameter includes an oxygenated hemoglobin concentration and a deoxygenated hemoglobin concentration. An intelligent blood oxygen monitoring system for detecting a hemoglobin parameter in a tissue of a person to be monitored to obtain the blood oxygen status of the person to be monitored includes: An intelligent blood oxygen monitoring device, including: A light emitter for emitting a first light wave with a wavelength between 600nm and 800nm and a second light wave with a wavelength between 800nm and 950nm to the tissue of the subject to be monitored; A light receiver for receiving a first reflected light wave and a second reflected light wave of the first light wave and the second light wave; A micro-processing unit electrically connected to the light transmitter and the light receiver, the micro-processing unit controls the light transmitter to emit the first light wave and the second light wave, and receives the first reflected light wave and the second reflection Light waves to obtain the hemoglobin parameter, where the hemoglobin parameter includes an oxygenated hemoglobin concentration and a deoxygenated hemoglobin concentration; A processor, a signal connected to the intelligent blood oxygen monitoring device, the processor receives the hemoglobin parameter, and calculates one or a combination of the following monitoring parameters according to the hemoglobin parameter: Monitoring parameter I: the duration of the hemoglobin parameter from the beginning of an incremental movement to the peak value; Monitoring parameter II: the amount of change between the initial value and the peak value of the hemoglobin parameter; Monitoring parameter III: the average rate of change of the hemoglobin parameter from the start of the incremental movement to the peak value; Monitoring parameter IV: The average rate of change of the hemoglobin parameter from 60% of the entire incremental movement to the peak value; Bring the above-mentioned monitoring parameters into the linear prediction system or the non-linear prediction system, and evaluate the blood oxygen status of the person to be monitored according to a preset threshold. The intelligent blood oxygen monitoring system described in item 7 of the scope of patent application, wherein the hemoglobin parameters include a total hemoglobin concentration and a tissue oxygen rate obtained from the oxygenated hemoglobin concentration and the deoxygenated hemoglobin concentration, and the processor The above monitoring parameters are calculated based on the total hemoglobin concentration and the oxygen content of the tissue. A method for assessing cardiopulmonary function based on blood oxygen status, including: Obtain a hemoglobin parameter in a tissue of a subject to be monitored, and the hemoglobin parameter includes a hemoglobin concentration and a tissue oxygen rate; Calculate one or a combination of the following monitoring parameters based on the hemoglobin parameter: Monitoring parameter I: the duration of the hemoglobin parameter from the beginning of an incremental movement to the peak value; Monitoring parameter II: the amount of change between the initial value and the peak value of the hemoglobin parameter; Monitoring parameter III: the average rate of change of the hemoglobin parameter from the start of the incremental movement to the peak value; Monitoring parameter IV: The average rate of change of the hemoglobin parameter from 60% of the entire incremental movement to the peak value; Bring the above-mentioned monitoring parameters into the linear prediction system or the non-linear prediction system, and evaluate the blood oxygen status of the person to be monitored according to a preset threshold value. When the above-mentioned monitoring parameters exceed the preset threshold value, determine the person to be monitored The cardiopulmonary function of the patient is good. On the contrary, the cardiopulmonary function of the person to be monitored is judged to be poor. A program product used to store an application program. After the application program is installed, it executes the intelligent blood oxygen monitoring method described in any one of items 1 to 5 of the scope of patent application.

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