Non-invasive fetal blood oxygen saturation dynamic monitoring system and method

Abstract

The invention discloses a non-invasive dynamic monitoring system and method for fetal blood oxygen saturation, and relates to the technical field of dynamic monitoring of the fetal blood oxygen saturation. The non-invasive dynamic monitoring system for the fetal blood oxygen saturation comprises a fetal blood oxygen saturation monitoring platform, the data acquisition unit is used for collecting emission and reception influence data, the signal emission supervision unit calculates an abnormal state index and an emission risk index by analyzing the emission influence data, and the signal reception evaluation unit calculates an abnormal state index and an emission risk index by analyzing the reception influence data. An optical signal processing evaluation index and a receiving risk index are calculated, a monitoring result evaluation unit judges whether a monitoring result is normal or not by integrating the transmitting risk index and the receiving risk index, through the system, accurate and dynamic monitoring of the non-invasive fetal blood oxygen saturation degree can be achieved, optimization processing is carried out by integrating abnormal state indexes, and the accuracy of the monitoring result is improved. And the accuracy of the monitoring result is further improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of dynamic monitoring of fetal blood oxygen saturation, and in particular relates to a non-invasive dynamic monitoring system and method for fetal blood oxygen saturation. Background Art

[0002] Non-invasive fetal blood oxygen saturation monitoring technology has been developed against the backdrop of the continuous advancement of medical technology and people's growing concern for fetal health. With the continuous development of optical technology, sensor technology, and signal processing technology, non-invasive monitoring methods have gradually become possible and have been widely used in clinical practice. Non-invasive fetal blood oxygen saturation monitoring technology is mainly based on optical principles and uses the characteristics of the hemoglobin absorption spectrum for measurement. Light-emitting diodes emit two specific wavelengths of light (such as 660nm and 910nm), which are selectively absorbed by fetal hemoglobin. Oxygenated hemoglobin and deoxygenated hemoglobin have different absorption characteristics for these two types of light. By measuring the difference in light absorption, blood oxygen saturation can be calculated.

[0003] Due to the complexity of the pregnant woman's body surface and the dynamic changes of the fetus in the mother's body, the optical signal may be affected by many factors during the transmission and reception process, such as noise, vibration, temperature changes, etc. These factors may cause attenuation, distortion or interference of the optical signal, thereby affecting the accuracy of the monitoring results. In traditional monitoring methods, there is often a lack of real-time assessment of the operating risks of the optical signal transmitter and receiver. When an abnormality occurs at the transmitter or receiver, it may not be discovered and processed in time, resulting in reduced reliability of the monitoring results.

[0004] There is an urgent need for a non-invasive fetal blood oxygen saturation dynamic monitoring technology, which can promptly detect whether there are abnormalities in the monitoring results and avoid misjudgment or missed diagnosis by doctors during the diagnosis process. Summary of the invention

[0005] The purpose of the present invention is to provide a non-invasive fetal blood oxygen saturation dynamic monitoring system and method, which is used to solve the technical problem that the prior art cannot stably provide sufficiently accurate monitoring results.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] Non-invasive fetal blood oxygen saturation dynamic monitoring system, including:

[0008] Fetal blood oxygen saturation monitoring platform, used to transmit and receive light signals of different wavelengths;

[0009] The fetal blood oxygen saturation monitoring platform sends a blood oxygen saturation monitoring instruction, and emits two or more light signals of different wavelengths through a pre-set fetal blood oxygen saturation photoelectric sensor. After the emitted light signal passes through the fetal tissue or is reflected by the fetal tissue, the fetal blood oxygen saturation monitoring platform can receive and analyze the light signal transmitted through the fetal tissue or reflected from the fetal tissue;

[0010] The data collection unit is used to collect transmission and reception impact data and send them to the signal transmission supervision unit and the signal reception evaluation unit respectively;

[0011] The signal transmission supervision unit is used to analyze transmission impact data and calculate abnormal status indicators and transmission risk indicators;

[0012] The signal reception evaluation unit is used to analyze reception impact data and calculate optical signal processing evaluation indicators and reception risk indicators;

[0013] The monitoring result evaluation unit is used to comprehensively judge whether the monitoring result is normal based on the transmission risk index and the reception risk index.

[0014] Furthermore, the data collection unit is used to collect the transmission and reception impact data, and send them to the signal transmission supervision unit and the signal reception evaluation unit respectively, the specific method is as follows:

[0015] When the fetal blood oxygen saturation monitoring platform generates blood oxygen saturation monitoring instructions, these instructions will be sent to the data acquisition unit. After receiving the blood oxygen saturation monitoring instructions, the data acquisition unit will immediately start collecting the emission impact data of the blood oxygen saturation monitoring optical signal transmitting end and the receiving impact data of the optical signal receiving end. The emission impact data includes the actual noise interference value, vibration amplitude value, operating temperature value and optical signal-to-noise ratio, while the receiving impact data includes the optical signal processing amount and the optical signal receiving rate. After that, the data acquisition unit sends the emission impact data to the signal emission supervision unit and sends the receiving impact data to the signal reception evaluation unit.

[0016] Furthermore, the signal transmission supervision unit is used to analyze the transmission impact data and calculate the abnormal state index and the transmission risk index. The specific method is as follows:

[0017] Record the duration of the optical signal transmitting end starting to run for a period of time, record the duration as T, subdivide the duration T into n sub-time periods, the duration of each sub-time period is equal, and record the duration of the sub-time period as t, where T, n and t are all natural numbers greater than zero, and then determine the abnormal state index of the optical signal transmitting end in all sub-time periods;

[0018] Determine the operation risk value of the optical signal transmitting end in each sub-time period, and determine the transmission risk index through the operation risk values ​​of all sub-time periods within the time length T.

[0019] Furthermore, the abnormal state index of the optical signal transmitting end in all sub-time periods is determined, and the specific method is as follows:

[0020] The abnormal state index is represented by the formula Yc(i)=k1*yb(i)+k2*zd(i)+k3*wd(i), wherein i represents the i-th sub-time period, Yc(i) represents the abnormal state index of the i-th sub-time period, yb(i) represents the abnormal fluctuation value of the i-th sub-time period, zd(i) represents the vibration amplitude influence value of the i-th sub-time period, wd(i) represents the average operating temperature of the optical signal transmitting device in the i-th sub-time period, k1 represents the weight coefficient of the abnormal fluctuation value, k2 represents the weight coefficient of the vibration amplitude influence value, and k3 represents the weight coefficient of the average operating temperature;

[0021] The abnormal fluctuation value represents the area ratio between the actual noise interference value characteristic curve and the preset noise interference value characteristic curve, and the acute angle of the first intersection of the vibration amplitude value characteristic curve and the preset vibration amplitude value characteristic curve is determined, and the vibration amplitude influence value is the degree of the acute angle;

[0022] Furthermore, the operation risk value of the optical signal transmitting end in each sub-time period is determined, and the transmission risk index is determined by the operation risk values ​​of all sub-time periods within the time length T. The specific method is:

[0023] The operation risk value is represented by the formula Yx(i)=k4*xz(i)*k5*sc(i), wherein i represents the i-th sub-time period, Yx(i) represents the operation risk value of the i-th sub-time period, xz(i) represents the abnormal duration of the optical signal-to-noise ratio of the i-th sub-time period, sc(i) represents the abnormal degree of the operating temperature of the i-th sub-time period, k4 represents the weight coefficient of the abnormal duration of the optical signal-to-noise ratio, and k5 represents the weight coefficient of the abnormal degree of the operating temperature;

[0024] The optical signal-to-noise ratio abnormal duration refers to the duration during which the optical signal-to-noise ratio fluctuation amplitude exceeds the preset optical signal-to-noise ratio threshold. By determining the actual operating temperature characteristic curve of a sub-time period, the length of time it is located above the preset operating temperature characteristic curve is determined, and then the ratio of the time length to the total time length is determined. The size of the ratio is the degree of operating temperature abnormality.

[0025] By calculating the difference between the two operation risk values ​​in the connected sub-time periods and recording it as the operation floating value, the maximum and minimum values ​​of all the operation floating values ​​within the time length T are obtained, and the launch risk index is obtained by calculating the difference between the maximum and minimum values ​​of the operation floating value.

[0026] Furthermore, the optical signal processing evaluation index and the receiving risk index are calculated. The specific method is as follows:

[0027] Based on the reception impact data, a line graph of the optical signal data processing amount in a rectangular coordinate system is drawn, in which the arrangement order of the sub-time periods is taken as the x-axis, and the optical signal data processing amount of each sub-time period is taken as the y-axis, and based on the line graph of the optical signal data processing amount, the slope of the line segment between adjacent sub-time periods is determined, and the absolute value of the slope between each sub-time period and the next sub-time period is recorded as the optical signal processing evaluation index;

[0028] The optical signal processing evaluation index and the optical signal reception rate in each sub-time period are combined to determine the reception risk index.

[0029] Furthermore, the optical signal processing evaluation index and the optical signal reception rate in each sub-time period are combined to determine the reception risk index. The specific method is as follows:

[0030] Using the formula represents the receiving risk index, where i represents the i-th sub-time period, n represents the number of all sub-time periods, j represents the j-th sub-time period whose slope with the next sub-time period is greater than 0, nj represents the number of all sub-time periods that meet the requirement, Jx represents the receiving risk index, fx represents the optical signal processing evaluation index, xl represents the optical signal receiving rate, k6 represents the weight coefficient of the optical signal receiving rate, and k7 represents the weight coefficient of the optical signal processing evaluation index.

[0031] Furthermore, the transmission risk index and the reception risk index are combined to determine whether the monitoring result is normal. The specific method is as follows:

[0032] If the transmission risk index is less than the preset transmission risk index threshold, it is judged that the optical signal transmission segment is operating normally; if it is greater than or equal to the preset transmission risk index threshold, it is judged that the optical signal transmission end is operating abnormally; if the reception risk index is less than the preset reception risk index threshold, it is judged that the optical signal receiving end is operating normally; if the reception risk index is greater than or equal to the preset reception risk index threshold, it is judged that the optical signal receiving end is operating abnormally;

[0033] When both the optical signal transmitting end and the optical signal receiving end are judged to be operating normally, it means that the monitoring result of the fetal blood oxygen saturation monitoring platform is normal. When at least one of the optical signal transmitting end and the optical signal receiving end is judged to be operating abnormally, it means that the monitoring result of the fetal blood oxygen saturation monitoring platform is abnormal.

[0034] The present invention also provides a non-invasive fetal blood oxygen saturation dynamic monitoring method, which is applied to a non-invasive fetal blood oxygen saturation dynamic monitoring system, and the specific steps include:

[0035] Step 1: determining the emission impact data of the blood oxygen saturation monitoring optical signal transmitting end and the receiving impact data of the optical signal receiving end;

[0036] Step 2: determining an abnormal state index and a transmission risk index based on the transmission impact data, and determining a reception risk index based on the reception impact data;

[0037] Step 3: Evaluate the monitoring results based on the comprehensive transmission risk index and reception risk index, and improve the accuracy of the monitoring results based on the abnormal state index.

[0038] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0039] 1. The present invention realizes comprehensive supervision and evaluation of the optical signal transmission and reception process through the coordinated work of the fetal blood oxygen saturation monitoring platform, the data acquisition unit, the signal transmission supervision unit, the signal reception evaluation unit and the monitoring result evaluation unit, thereby ensuring the stability and reliability of the optical signal during the transmission and reception process, and facilitating the dynamic judgment of the accuracy of the fetal blood oxygen saturation monitoring results;

[0040] 2. The present invention calculates the emission risk index and the receiving risk index through the signal emission supervision unit and the signal reception evaluation unit, quantifies the operation risk of the optical signal emission and receiving ends, realizes the real-time monitoring and evaluation of the optical signal emission and receiving process, and ensures that the fetal blood oxygen saturation monitoring platform can timely discover and handle potential abnormalities during operation;

[0041] 3. The present invention avoids the misjudgment that may be caused by a single evaluation unit by integrating the evaluation information of the signal transmission supervision unit and the signal reception evaluation unit. The present invention also screens the normal sub-time period and the abnormal sub-time period through the abnormal state indicator, and uses the trend extrapolation method for the monitoring data of the normal sub-time period to obtain the monitoring prediction data of the abnormal sub-time period adjacent to the normal sub-time period. Then, through nonlinear regression fitting, the monitoring prediction data is compared with the monitoring data, and the optimized monitoring data is output, which helps to further improve the accuracy of the monitoring results of the fetal blood oxygen saturation monitoring platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A flow chart of a non-invasive fetal blood oxygen saturation dynamic monitoring system is shown;

[0044] Figure 2 A flowchart of a non-invasive fetal blood oxygen saturation dynamic monitoring system is shown;

[0045] Figure 3 A step diagram of a non-invasive fetal blood oxygen saturation dynamic monitoring method is shown. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] Embodiment 1, as Figure 1 , Figure 2 The non-invasive fetal blood oxygen saturation dynamic monitoring system shown specifically includes: a fetal blood oxygen saturation monitoring platform, a data acquisition unit, a signal transmission supervision unit, a signal reception evaluation unit and a monitoring result evaluation unit;

[0048] The fetal blood oxygen saturation monitoring platform is connected to the data acquisition unit in a one-way communication manner, the data acquisition unit is connected to the signal transmission supervision unit and the signal reception evaluation unit in a one-way communication manner, the signal transmission supervision unit is connected to the monitoring result evaluation unit in a one-way communication manner, the signal reception evaluation unit is connected to the monitoring result evaluation unit in a one-way communication manner, and the fetal blood oxygen saturation monitoring platform is connected to the physiological factor interference unit in a two-way communication manner.

[0049] The fetal blood oxygen saturation monitoring platform is used to send blood oxygen saturation monitoring instructions. It emits two or more light signals of different wavelengths through a fetal blood oxygen saturation photoelectric sensor placed outside the pregnant woman's body. After the emitted light signal passes through the fetal tissue or is reflected by the fetal tissue, the fetal blood oxygen saturation monitoring platform can receive and analyze the light signal transmitted through the fetal tissue or reflected from the fetal tissue, thereby realizing dynamic monitoring of the fetal blood oxygen saturation.

[0050] When the fetal blood oxygen saturation monitoring platform generates blood oxygen saturation monitoring instructions, these instructions will be sent to the data acquisition unit. After receiving the blood oxygen saturation monitoring instructions, the data acquisition unit will immediately start collecting the emission impact data of the blood oxygen saturation monitoring optical signal transmitting end and the reception impact data of the optical signal receiving end. The emission impact data includes the actual noise interference value, vibration amplitude value, operating temperature value and optical signal-to-noise ratio, while the reception impact data covers the optical signal processing amount and optical signal reception rate. The emission impact data will then be sent to the signal emission supervision unit, and the reception impact data will be sent to the signal reception evaluation unit.

[0051] The signal emission supervision unit is used to analyze the emission impact data. After receiving the emission impact data, it immediately conducts supervision and evaluation on the optical signal emission, aiming to determine whether the optical signal transmitting end of the fetal blood oxygen saturation monitoring platform is operating normally and whether the stability of the optical signal is affected. The specific supervision and evaluation process is as follows:

[0052] Record the duration of the optical signal transmitter starting to run for a period of time, record the duration as T, subdivide the duration T into n sub-time periods, the duration of each sub-time period is equal, and record the duration of the sub-time period as t, where T, n and t are all natural numbers greater than zero, then determine the abnormal state index of the optical signal transmitter in all sub-time periods, and the specific formula of the abnormal state index is as follows:

[0053] Yc(i)=k1*yb(i)+k2*zd(i)+k3*wd(i);

[0054] Wherein, i represents the i-th sub-time period, Yc(i) represents the abnormal state index of the i-th sub-time period, yb(i) represents the abnormal fluctuation value of the i-th sub-time period, zd(i) represents the vibration amplitude influence value of the i-th sub-time period, wd(i) represents the average operating temperature of the optical signal transmitting device in the i-th sub-time period, k1 represents the weight coefficient of the abnormal fluctuation value, k2 represents the weight coefficient of the vibration amplitude influence value, and k3 represents the weight coefficient of the average operating temperature;

[0055] The abnormal fluctuation value represents the area ratio between the actual noise interference value characteristic curve and the preset noise interference value characteristic curve, and the acute angle of the first intersection of the vibration amplitude value characteristic curve and the preset vibration amplitude value characteristic curve is determined, and the vibration amplitude influence value is the degree of the acute angle;

[0056] Furthermore, the operation risk value of the optical signal transmitting end in each sub-time period is determined, and the specific calculation formula of the operation risk value is as follows:

[0057] Yx(i)=k4*xz(i)*k5*sc(i);

[0058] Wherein, i represents the i-th sub-time period, Yx(i) represents the operation risk value of the i-th sub-time period, xz(i) represents the abnormal duration of the optical signal-to-noise ratio of the i-th sub-time period, sc(i) represents the abnormal degree of the operating temperature of the i-th sub-time period, k4 represents the weight coefficient of the abnormal duration of the optical signal-to-noise ratio, and k5 represents the weight coefficient of the abnormal degree of the operating temperature;

[0059] Among them, the abnormal duration of the optical signal-to-noise ratio refers to the duration when the fluctuation amplitude of the optical signal-to-noise ratio exceeds the preset optical signal-to-noise ratio threshold. By determining the actual operating temperature characteristic curve of a sub-time period, the length of time it is above the preset operating temperature characteristic curve is determined, and then the ratio of this time length to the total time length is determined. The size of this ratio is the degree of abnormality of the operating temperature.

[0060] By calculating the difference between two operation risk values ​​in the connected sub-time periods and recording it as the operation floating value, the maximum and minimum values ​​of all operation floating values ​​within the time period T are obtained, and the launch risk index is obtained by calculating the difference between the maximum and minimum values ​​of the operation floating value;

[0061] Then, the signal transmission supervision unit sends the abnormal state index and the transmission risk index of each sub-time end to the monitoring result evaluation unit, which performs analysis and processing.

[0062] The signal reception evaluation unit is used to analyze the reception impact data. After receiving the reception impact data, the signal reception evaluation unit will immediately evaluate and analyze the reception impact data to determine whether the fetal blood oxygen saturation monitoring platform is normal in optical signal reception. The specific evaluation and analysis process includes: drawing a line graph of the optical signal data processing amount in a rectangular coordinate system based on the reception impact data, in which the arrangement order of the sub-time periods is the x-axis and the optical signal data processing amount of each sub-time period is the y-axis, based on the line graph of the optical signal data processing amount, determining the slope of the line segment between adjacent sub-time periods, and recording the absolute value of the slope between each sub-time period and its next sub-time period as an optical signal processing evaluation index;

[0063] Further, determining the optical signal receiving rate of the optical signal receiving end in each sub-time period, where the optical signal receiving rate represents the ratio of the actual optical signal receiving amount to the preset optical signal receiving amount;

[0064] The optical signal processing evaluation index and the optical signal receiving rate in each sub-time period are combined to determine the receiving risk index. The specific calculation formula of the receiving risk index is as follows:

[0065]

[0066] Wherein, i represents the i-th sub-time period, n represents the number of all sub-time periods, j represents the j-th sub-time period whose slope with the next sub-time period is greater than 0, nj represents the number of all sub-time periods that meet the requirement, Jx represents the receiving risk index, fx represents the optical signal processing evaluation index, xl represents the optical signal receiving rate, k6 represents the weight coefficient of the optical signal receiving rate, and k7 represents the weight coefficient of the optical signal processing evaluation index;

[0067] Then, the signal reception evaluation unit sends the reception risk index to the monitoring result evaluation unit, which performs analysis and processing.

[0068] The monitoring result evaluation unit is used to receive the evaluation information of the signal transmission supervision unit and the signal reception evaluation unit, comprehensively judge whether the monitoring result of the fetal blood oxygen saturation monitoring platform is normal, and further evaluate the operation risk of the optical signal transmission end through the transmission risk index. If the transmission risk index is less than the preset transmission risk index threshold, it is judged that the optical signal transmission segment is operating normally. If it is greater than or equal to the preset transmission risk index threshold, it is judged that the optical signal transmission end is operating abnormally. If the reception risk index is less than the preset reception risk index threshold, it is judged that the optical signal receiving end is operating normally. If the reception risk index is greater than or equal to the preset reception risk index threshold, it is judged that the optical signal receiving end is operating abnormally.

[0069] When both the optical signal transmitting end and the optical signal receiving end are judged to be operating normally, it means that the monitoring result of the fetal blood oxygen saturation monitoring platform is normal. When at least one of the optical signal transmitting end and the optical signal receiving end is judged to be operating abnormally, it means that the monitoring result of the fetal blood oxygen saturation monitoring platform is abnormal.

[0070] When it is judged that the monitoring result of the fetal blood oxygen saturation monitoring platform is accurate, the abnormal state index is compared and analyzed with the preset abnormal state index threshold value W. When the ratio of the abnormal state index to the threshold value W in a sub-time period is less than 1, it is judged that the optical signal emission in the sub-time period is normal, and the sub-time period is marked with normal emission information. If the ratio is greater than or equal to 1, it is judged that the optical signal emission in the sub-time period is abnormal, and the sub-time period is marked with abnormal emission information.

[0071] The sub-time periods marked with normal emission information are screened, and such sub-time periods are recorded as normal sub-time periods; the sub-time periods marked with abnormal emission information are screened, and such sub-time periods are recorded as abnormal sub-time periods; the monitoring data obtained through the normal sub-time periods and the abnormal sub-time periods are further determined; the monitoring prediction data of the abnormal sub-time periods adjacent to the normal sub-time periods are obtained by applying the trend extrapolation method to the monitoring data of the normal sub-time periods; and the monitoring prediction data corresponding to the same abnormal sub-time period are then subjected to nonlinear regression fitting with the monitoring data, and the monitoring prediction data after nonlinear regression fitting is output, so as to further improve the accuracy of the monitoring results of the fetal blood oxygen saturation monitoring platform.

[0072] Embodiment 2, as Figure 3 The non-invasive fetal blood oxygen saturation dynamic monitoring method shown in the figure comprises the following specific steps:

[0073] Step 1: Determine the transmission impact data of the blood oxygen saturation monitoring optical signal transmitting end and the receiving impact data of the optical signal receiving end.

[0074] Based on the fetal blood oxygen saturation monitoring platform sending blood oxygen saturation monitoring instructions, the fetal blood oxygen saturation photoelectric sensor placed outside the pregnant woman's body emits two or more light signals of different wavelengths. After the emitted light signal passes through the fetal tissue or is reflected by the fetal tissue, the fetal blood oxygen saturation monitoring platform can receive and analyze the light signal transmitted through the fetal tissue or reflected from the fetal tissue, thereby realizing dynamic monitoring of the fetal blood oxygen saturation.

[0075] When the fetal blood oxygen saturation monitoring platform generates a blood oxygen saturation monitoring instruction, it starts to collect the emission impact data of the blood oxygen saturation monitoring optical signal transmitting end and the receiving impact data of the optical signal receiving end. The emission impact data includes the actual noise interference value, vibration amplitude value, operating temperature value and optical signal-to-noise ratio, while the receiving impact data includes the optical signal processing amount and the optical signal receiving rate.

[0076] Step 2: Determine the abnormal state index and the transmission risk index based on the transmission impact data, and determine the reception risk index based on the reception impact data.

[0077] Analyze the emission impact data, record the duration of the optical signal transmitter of the fetal blood oxygen saturation monitoring platform starting to run for a period of time, record the duration as T, subdivide the duration T into n sub-time periods, the duration of each sub-time period is equal, and record the duration of the sub-time period as t, where T, n and t are all natural numbers greater than zero, and then determine the abnormal state index of the optical signal transmitter in all sub-time periods. The specific formula of the abnormal state index is as follows:

[0078] Yc(i)=k1*yb(i)+k2*zd(i)+k3*wd(i);

[0079] Wherein, i represents the i-th sub-time period, Yc(i) represents the abnormal state index of the i-th sub-time period, yb(i) represents the abnormal fluctuation value of the i-th sub-time period, zd(i) represents the vibration amplitude influence value of the i-th sub-time period, wd(i) represents the average operating temperature of the optical signal transmitting device in the i-th sub-time period, k1 represents the weight coefficient of the abnormal fluctuation value, k2 represents the weight coefficient of the vibration amplitude influence value, and k3 represents the weight coefficient of the average operating temperature;

[0080] The abnormal fluctuation value represents the area ratio between the actual noise interference value characteristic curve and the preset noise interference value characteristic curve, and the acute angle of the first intersection of the vibration amplitude value characteristic curve and the preset vibration amplitude value characteristic curve is determined, and the vibration amplitude influence value is the degree of the acute angle;

[0081] Furthermore, the operation risk value of the optical signal transmitting end in each sub-time period is determined, and the specific calculation formula of the operation risk value is as follows:

[0082] Yx(i)=k4*xz(i)*k5*sc(i);

[0083] Wherein, i represents the i-th sub-time period, Yx(i) represents the operation risk value of the i-th sub-time period, xz(i) represents the abnormal duration of the optical signal-to-noise ratio of the i-th sub-time period, sc(i) represents the abnormal degree of the operating temperature of the i-th sub-time period, k4 represents the weight coefficient of the abnormal duration of the optical signal-to-noise ratio, and k5 represents the weight coefficient of the abnormal degree of the operating temperature;

[0084] Among them, the abnormal duration of the optical signal-to-noise ratio refers to the duration when the fluctuation amplitude of the optical signal-to-noise ratio exceeds the preset optical signal-to-noise ratio threshold. By determining the actual operating temperature characteristic curve of a sub-time period, the length of time it is above the preset operating temperature characteristic curve is determined, and then the ratio of this time length to the total time length is determined. The size of this ratio is the degree of abnormality of the operating temperature.

[0085] By calculating the difference between the two operation risk values ​​in the connected sub-time periods and recording it as the operation floating value, the maximum and minimum values ​​of all operation floating values ​​within the time length T are obtained, and the launch risk index is obtained by calculating the difference between the maximum and minimum values ​​of the operation floating value.

[0086] Based on the reception impact data, a line graph of the optical signal data processing amount in a rectangular coordinate system is drawn, in which the arrangement order of the sub-time periods is taken as the x-axis, and the optical signal data processing amount of each sub-time period is taken as the y-axis, and based on the line graph of the optical signal data processing amount, the slope of the line segment between adjacent sub-time periods is determined, and the absolute value of the slope between each sub-time period and the next sub-time period is recorded as the optical signal processing evaluation index;

[0087] Further, determining the optical signal receiving rate of the optical signal receiving end in each sub-time period, where the optical signal receiving rate represents the ratio of the actual optical signal receiving amount to the preset optical signal receiving amount;

[0088] The optical signal processing evaluation index and the optical signal receiving rate in each sub-time period are combined to determine the receiving risk index. The specific calculation formula of the receiving risk index is as follows:

[0089]

[0090] Among them, i represents the i-th sub-time period, n represents the number of all sub-time periods, j represents the j-th sub-time period whose slope with the next sub-time period is greater than 0, nj represents the number of all sub-time periods that meet the requirement, Jx represents the receiving risk index, fx represents the optical signal processing evaluation index, xl represents the optical signal receiving rate, k6 represents the weight coefficient of the optical signal receiving rate, and k7 represents the weight coefficient of the optical signal processing evaluation index.

[0091] Step 3: Evaluate the monitoring results based on the comprehensive transmission risk index and reception risk index, and improve the accuracy of the monitoring results based on the abnormal state index.

[0092] The operation risk of the optical signal transmitting end is evaluated by the transmission risk index. If the transmission risk index is less than the preset threshold, the optical signal transmitting end is judged to be operating normally; if it is greater than or equal to the preset threshold, the optical signal transmitting end is judged to be operating abnormally, and the receiving risk index is compared and analyzed with the preset receiving risk index threshold. If the receiving risk index is less than the preset receiving risk index threshold, it means that the optical signal receiving end is operating normally. If the receiving risk index is greater than or equal to the preset receiving risk index threshold, it means that the optical signal receiving end is operating abnormally. When both the optical signal transmitting end and the optical signal receiving end are judged to be operating normally, it means that the monitoring result of the fetal blood oxygen saturation monitoring platform is quasi-normal. When at least one of the optical signal transmitting end and the optical signal receiving end is judged to be operating abnormally, it means that the monitoring result of the fetal blood oxygen saturation monitoring platform is abnormal.

[0093] When it is judged that the monitoring result of the fetal blood oxygen saturation monitoring platform is accurate, the abnormal state index is compared and analyzed with the preset abnormal state index threshold value W. When the ratio of the abnormal state index to the threshold value W in a sub-time period is less than 1, it is judged that the optical signal emission in the sub-time period is normal, and the sub-time period is marked with normal emission information. If the ratio is greater than or equal to 1, it is judged that the optical signal emission in the sub-time period is abnormal, and the sub-time period is marked with abnormal emission information.

[0094] The sub-time periods marked with normal emission information are screened, and such sub-time periods are recorded as normal sub-time periods; the sub-time periods marked with abnormal emission information are screened, and such sub-time periods are recorded as abnormal sub-time periods; the monitoring data obtained through the normal sub-time periods and the abnormal sub-time periods are further determined; the monitoring prediction data of the abnormal sub-time periods adjacent to the normal sub-time periods are obtained by applying the trend extrapolation method to the monitoring data of the normal sub-time periods; and the monitoring prediction data corresponding to the same abnormal sub-time period are then subjected to nonlinear regression fitting with the monitoring data, and the monitoring prediction data after nonlinear regression fitting is output, so as to further improve the accuracy of the monitoring results of the fetal blood oxygen saturation monitoring platform.

[0095] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0096] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Non-invasive fetal blood oxygen saturation dynamic monitoring system, characterized in that: include: Fetal blood oxygen saturation monitoring platform, used to transmit and receive light signals of different wavelengths; The fetal blood oxygen saturation monitoring platform sends a blood oxygen saturation monitoring instruction, and emits two or more light signals of different wavelengths through a pre-set fetal blood oxygen saturation photoelectric sensor. After the emitted light signal passes through the fetal tissue or is reflected by the fetal tissue, the fetal blood oxygen saturation monitoring platform can receive and analyze the light signal transmitted through the fetal tissue or reflected from the fetal tissue; The data collection unit is used to collect transmission and reception impact data and send them to the signal transmission supervision unit and the signal reception evaluation unit respectively; The signal transmission supervision unit is used to analyze transmission impact data and calculate abnormal status indicators and transmission risk indicators; The signal reception evaluation unit is used to analyze reception impact data and calculate optical signal processing evaluation indicators and reception risk indicators; The monitoring result evaluation unit is used to comprehensively judge whether the monitoring result is normal based on the transmission risk index and the reception risk index.

2. The non-invasive fetal blood oxygen saturation dynamic monitoring system according to claim 1, characterized in that: The data acquisition unit is used to collect the transmission and reception impact data and send them to the signal transmission supervision unit and the signal reception evaluation unit respectively. The specific method is as follows: When the fetal blood oxygen saturation monitoring platform generates blood oxygen saturation monitoring instructions, these instructions will be sent to the data acquisition unit. After receiving the blood oxygen saturation monitoring instructions, the data acquisition unit will immediately start collecting the emission impact data of the blood oxygen saturation monitoring optical signal transmitting end and the receiving impact data of the optical signal receiving end. The emission impact data includes the actual noise interference value, vibration amplitude value, operating temperature value and optical signal-to-noise ratio, while the receiving impact data includes the optical signal processing amount and the optical signal receiving rate. After that, the data acquisition unit sends the emission impact data to the signal emission supervision unit and sends the receiving impact data to the signal reception evaluation unit.

3. The non-invasive fetal blood oxygen saturation dynamic monitoring system according to claim 1, characterized in that: The signal transmission supervision unit is used to analyze the transmission impact data and calculate the abnormal state index and transmission risk index. The specific method is as follows: Record the duration of the optical signal transmitting end starting to run for a period of time, record the duration as T, subdivide the duration T into n sub-time periods, the duration of each sub-time period is equal, and record the duration of the sub-time period as t, where T, n and t are all natural numbers greater than zero, and then determine the abnormal state index of the optical signal transmitting end in all sub-time periods; Determine the operation risk value of the optical signal transmitting end in each sub-time period, and determine the transmission risk index through the operation risk values ​​of all sub-time periods within the time length T.

4. The non-invasive fetal blood oxygen saturation dynamic monitoring system according to claim 3, characterized in that: Determine the abnormal status index of the optical signal transmitting end in all sub-time periods, the specific method is: The abnormal state index is represented by the formula Yc(i)=k1*yb(i)+k2*zd(i)+k3*wd(i), wherein i represents the i-th sub-time period, Yc(i) represents the abnormal state index of the i-th sub-time period, yb(i) represents the abnormal fluctuation value of the i-th sub-time period, zd(i) represents the vibration amplitude influence value of the i-th sub-time period, wd(i) represents the average operating temperature of the optical signal transmitting device in the i-th sub-time period, k1 represents the weight coefficient of the abnormal fluctuation value, k2 represents the weight coefficient of the vibration amplitude influence value, and k3 represents the weight coefficient of the average operating temperature; Among them, the abnormal fluctuation value represents the area ratio between the actual noise interference value characteristic curve and the preset noise interference value characteristic curve, determines the acute angle of the first intersection of the vibration amplitude value characteristic curve and the preset vibration amplitude value characteristic curve, and the vibration amplitude influence value is the degree of the acute angle.

5. The non-invasive fetal blood oxygen saturation dynamic monitoring system according to claim 3, characterized in that: Determine the operation risk value of the optical signal transmitter in each sub-time period, and determine the transmission risk index through the operation risk values ​​of all sub-time periods within the T time period. The specific method is: The operation risk value is represented by the formula Yx(i)=k4*xz(i)*k5*sc(i), wherein i represents the i-th sub-time period, Yx(i) represents the operation risk value of the i-th sub-time period, xz(i) represents the abnormal duration of the optical signal-to-noise ratio of the i-th sub-time period, sc(i) represents the abnormal degree of the operating temperature of the i-th sub-time period, k4 represents the weight coefficient of the abnormal duration of the optical signal-to-noise ratio, and k5 represents the weight coefficient of the abnormal degree of the operating temperature; The optical signal-to-noise ratio abnormal duration refers to the duration during which the optical signal-to-noise ratio fluctuation amplitude exceeds the preset optical signal-to-noise ratio threshold. By determining the actual operating temperature characteristic curve of a sub-time period, the length of time it is located above the preset operating temperature characteristic curve is determined, and then the ratio of the time length to the total time length is determined. The size of the ratio is the degree of operating temperature abnormality. By calculating the difference between the two operation risk values ​​in the connected sub-time periods and recording it as the operation floating value, the maximum and minimum values ​​of all the operation floating values ​​within the time length T are obtained, and the launch risk index is obtained by calculating the difference between the maximum and minimum values ​​of the operation floating value.

6. The non-invasive fetal blood oxygen saturation dynamic monitoring system according to claim 1, characterized in that: Calculate the optical signal processing evaluation index and the receiving risk index. The specific method is as follows: Based on the reception impact data, a line graph of the optical signal data processing amount in a rectangular coordinate system is drawn, in which the arrangement order of the sub-time periods is taken as the x-axis, and the optical signal data processing amount of each sub-time period is taken as the y-axis, and based on the line graph of the optical signal data processing amount, the slope of the line segment between adjacent sub-time periods is determined, and the absolute value of the slope between each sub-time period and the next sub-time period is recorded as the optical signal processing evaluation index; The optical signal processing evaluation index and the optical signal reception rate in each sub-time period are combined to determine the reception risk index.

7. The non-invasive fetal blood oxygen saturation dynamic monitoring system according to claim 1, characterized in that: The optical signal processing evaluation index and the optical signal reception rate in each sub-time period are combined to determine the reception risk index. The specific method is as follows: Using the formula Indicates receiving risk indicators, Among them, i represents the i-th sub-time period, n represents the number of all sub-time periods, j represents the j-th sub-time period whose slope with the next sub-time period is greater than 0, nj represents the number of all sub-time periods that meet the requirement, Jx represents the receiving risk index, fx represents the optical signal processing evaluation index, xl represents the optical signal receiving rate, k6 represents the weight coefficient of the optical signal receiving rate, and k7 represents the weight coefficient of the optical signal processing evaluation index.

8. The non-invasive fetal blood oxygen saturation dynamic monitoring system according to claim 1, characterized in that: The transmission risk index and the reception risk index are combined to determine whether the monitoring results are normal. The specific method is as follows: If the transmission risk index is less than the preset transmission risk index threshold, it is judged that the optical signal transmission segment is operating normally; if it is greater than or equal to the preset transmission risk index threshold, it is judged that the optical signal transmission end is operating abnormally; if the reception risk index is less than the preset reception risk index threshold, it is judged that the optical signal receiving end is operating normally; if the reception risk index is greater than or equal to the preset reception risk index threshold, it is judged that the optical signal receiving end is operating abnormally; When both the optical signal transmitting end and the optical signal receiving end are judged to be operating normally, it means that the monitoring result of the fetal blood oxygen saturation monitoring platform is normal. When at least one of the optical signal transmitting end and the optical signal receiving end is judged to be operating abnormally, it means that the monitoring result of the fetal blood oxygen saturation monitoring platform is abnormal.

9. A non-invasive fetal blood oxygen saturation dynamic monitoring method, applied to the non-invasive fetal blood oxygen saturation dynamic monitoring system according to any one of claims 1 to 8, characterized in that: include: Step 1: determining the emission impact data of the blood oxygen saturation monitoring optical signal transmitting end and the receiving impact data of the optical signal receiving end; Step 2: determining an abnormal state index and a transmission risk index based on the transmission impact data, and determining a reception risk index based on the reception impact data; Step 3: Evaluate the monitoring results based on the comprehensive transmission risk index and reception risk index, and improve the accuracy of the monitoring results based on the abnormal state index.

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