A fetal heart ultrasound sound signal graphic imaging method based on artificial intelligence

Abstract

The present invention relates to the technical field of fetal heart ultrasound imaging, and in particular to a fetal heart ultrasound sound signal graphic imaging method based on artificial intelligence, comprising: determining a fetal heart region based on fetal morphology and collecting a fetal heart sound signal of the fetus using a fetal heart detector; determining the eligibility of the determination of the fetal heart region based on the clarity of the fetal heart sound signal; determining whether the fetal heart activity is within a normal range based on a fetal heart rate variation coefficient within a first preset time period when the fetal heart region is determined to be qualified; obtaining fetal heart sound signals at different points when the fetal heart activity is within the normal range and then performing preprocessing operations such as filtering and denoising; determining whether the acquisition of the preprocessed fetal heart sound signal meets a preset standard based on a signal characteristic value; and using an image processing algorithm to convert the fetal heart sound signal into a visual image when the acquisition of the fetal heart sound signal meets the preset standard, thereby improving the accuracy of the acquisition of the fetal heart ultrasound sound signal.

Description

Technical Field

[0001] The present invention relates to the technical field of fetal heart ultrasound imaging, and in particular to a fetal heart ultrasound sound signal graphic imaging method based on artificial intelligence. Background Art

[0002] Fetal ultrasound is a non-invasive prenatal examination method that uses ultrasound to image the fetal heart to assess its structure and function. However, traditional fetal ultrasound imaging technology has many limitations. For example, image quality is affected by fetal position, maternal factors, and the performance of the ultrasound equipment, and is highly dependent on the operator's technical level. These factors often lead to misdiagnosis or delayed diagnosis of fetal heart disease, which may miss the optimal time for intervention. Artificial intelligence technology uses advanced computer algorithms to automatically analyze, process, and interpret medical imaging data, thereby improving the accuracy and efficiency of diagnosis. In the field of ultrasound imaging, in particular, artificial intelligence technology has demonstrated great potential, capable of optimizing image acquisition, improving image quality, automatically extracting and standardizing measurement-related parameters, and assisting doctors in the classification and differential diagnosis of diseases.

[0003] Through artificial intelligence technology, fetal heart ultrasound sound signals can be automatically analyzed and processed to generate high-quality fetal heart images. This method uses a deep learning algorithm trained on a large amount of fetal heart ultrasound data to automatically identify the structural characteristics of the fetal heart and generate clear images.

[0004] Chinese patent application publication number CN116867440A discloses a fetal heart ultrasound imaging method and system, comprising: determining a delay time; controlling multiple three-dimensional ultrasound scans of the fetal heart to obtain multiple volumes of three-dimensional ultrasound data containing multiple cardiac cycles; wherein, after each three-dimensional ultrasound scan is completed, the next three-dimensional ultrasound scan is performed after the delay time; rearranging the multiple volumes of three-dimensional ultrasound data according to cardiac phase sequence to obtain multiple volumes of rearranged three-dimensional ultrasound data; and displaying the fetal heart based on the rearranged multiple volumes of three-dimensional ultrasound data. It can be seen that the existing technology lacks processing and regulation of ultrasonic sound signals, which may result in unclear or inaccurate images. Summary of the Invention

[0005] To this end, the present invention provides an artificial intelligence-based fetal heart ultrasound sound signal graphic imaging method to overcome the problem in the prior art of inaccurate images generated due to interference from other factors during the acquisition of fetal heart ultrasound sound signals.

[0006] To achieve the above-mentioned object, the present invention provides a fetal heart ultrasound sound signal graphic imaging method based on artificial intelligence, comprising:

[0007] Determine the fetal heart area based on the fetal morphology and use a fetal heart monitor to collect the fetal heart sound signal;

[0008] Determining eligibility of the fetal heart region according to the clarity of the fetal heart sound signal, determining that the fetal heart region is unqualified if the signal clarity is less than a preset clarity, and adjusting the fetal heart region according to the fetal position change value;

[0009] Under the condition that the signal clarity is greater than or equal to the preset clarity, determining that the fetal heart area is qualified, and determining whether the fetal heart activity is within a normal range based on the fetal heart rate variation coefficient within the first preset time period;

[0010] Under the condition that the fetal heart rate variation coefficient is less than the preset fetal heart rate variation coefficient, it is determined that the fetal heart activity is within the normal range, and fetal heart sound signals at different points are obtained and then preprocessed by filtering, denoising, etc.;

[0011] Under the condition that the fetal heart rate variation coefficient is greater than or equal to the preset fetal heart rate variation coefficient, determining that the fetal heart activity is not within the normal range, and changing the pregnant woman's body position or increasing the fetal heart detection time;

[0012] determining whether the acquisition of the preprocessed fetal heart sound signal meets a preset standard based on the signal characteristic value, determining that the acquisition of the fetal heart sound signal does not meet the preset standard if the signal characteristic value is less than a preset signal characteristic value, and determining the reason why the acquisition of the fetal heart sound signal does not meet the preset standard based on the signal characteristic difference;

[0013] Under the condition that the signal characteristic value is greater than or equal to the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal meets the preset standard, and an image processing algorithm is used to convert the fetal heart sound signal into a visual image.

[0014] Furthermore, the process of determining the fetal heart region based on the fetal morphology includes:

[0015] Use an ultrasound probe to determine the fetal outline and position;

[0016] Determine the preset size of the fetal heart based on the size of the fetus, and then determine the preset area of ​​the fetal heart;

[0017] Use a fetal heart rate monitor to collect fetal heart sound signals within a preset area outline;

[0018] Comparing the received intensity of the fetal heart sound signal with a preset sound signal intensity;

[0019] The fetal heart region is determined under the condition that the fetal heart sound signal strength is greater than or equal to the preset sound signal strength.

[0020] Furthermore, the eligibility of the fetal heart region is determined based on the clarity of the fetal heart sound signal, wherein:

[0021] If the signal clarity is less than the preset clarity, it is determined that the determination of the fetal heart region is unqualified, and the fetal heart region is adjusted according to the fetal position change value;

[0022] If the signal clarity is greater than or equal to the preset clarity, the fetal heart area is determined to be qualified, and whether the fetal heart activity is within a normal range is determined based on the fetal heart rate variation coefficient within the first preset time period.

[0023] Furthermore, the fetal heart region is adjusted according to the fetal position change value, wherein,

[0024] If the fetal position change value is less than a preset fetal position change value, adjusting the fetal heart area to a corresponding value using a first displacement adjustment coefficient;

[0025] If the fetal position change value is greater than or equal to the preset position change value, the fetal heart area is adjusted to a corresponding value using a second displacement adjustment coefficient.

[0026] Furthermore, whether the fetal heart activity is within a normal range is determined based on the fetal heart rate variation coefficient within the first preset time period, wherein:

[0027] If the fetal heart rate variation coefficient is less than the preset fetal heart rate variation coefficient, it is determined that the fetal heart activity is within the normal range, and fetal heart sound signals at different points are obtained and then pre-processed by filtering, denoising, etc.;

[0028] If the fetal heart rate variation coefficient is greater than or equal to the preset fetal heart rate variation coefficient, it is determined that the fetal heart activity is not within the normal range, and the pregnant woman's position is changed or the fetal heart detection time is increased.

[0029] Furthermore, the process of acquiring the fetal heart sound signal includes:

[0030] Determine the point with the strongest signal in the fetal heart area;

[0031] With the strongest signal point as the center, a point is determined at each preset distance in the surrounding area.

[0032] After detecting the second preset time at each point, switch to the next point;

[0033] When the point signal strength value is less than a preset strength value, the detection is stopped and the acquisition of the fetal heart sound signal is completed.

[0034] Furthermore, it is determined whether the acquisition of the pre-processed fetal heart sound signal meets the preset standard based on the signal characteristic value, wherein:

[0035] If the signal characteristic value is less than a preset signal characteristic value, determining that the acquisition of the fetal heart sound signal does not meet the preset standard, and determining the reason for not meeting the preset standard based on the difference between the preset signal characteristic value and the signal characteristic value;

[0036] If the signal characteristic value is greater than or equal to the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal meets the preset standard, and the fetal heart sound signal is converted into a visual image using an image processing algorithm.

[0037] Further, the reason why the acquisition of the fetal heart sound signal does not meet the preset standard is determined based on the signal characteristic difference, wherein:

[0038] If the signal characteristic difference is less than a preset signal characteristic difference, it is determined that the acquisition of the fetal heart sound signal does not meet the preset standard because the determination of the signal collection points is unqualified, and the spacing between the signal collection points is reduced according to the signal fluctuation value;

[0039] If the signal characteristic difference is greater than or equal to the preset signal characteristic difference, determining that the acquisition of the fetal heart sound signal does not meet the preset standard is due to failure of the denoising process, and increasing the sensitivity of the denoising process according to the proportion of the interference signal;

[0040] The signal characteristic difference value is the difference between the preset signal characteristic value and the signal characteristic value.

[0041] Furthermore, the spacing between signal collection points is reduced according to the signal fluctuation value, wherein,

[0042] If the signal fluctuation value is less than the preset fluctuation value, the spacing between the signal collection points is adjusted to a corresponding value using the first spacing adjustment coefficient;

[0043] If the signal fluctuation value is greater than or equal to the preset fluctuation value, the second spacing adjustment coefficient is used to adjust the spacing of the signal collection points to a corresponding value.

[0044] Furthermore, the sensitivity of the denoising process is improved according to the proportion of interference signals, where

[0045] If the interference signal ratio is less than the preset interference signal ratio, the sensitivity of the denoising process is adjusted to a corresponding value using the first sensitivity adjustment coefficient;

[0046] If the interference signal ratio is greater than or equal to the preset interference signal ratio, the sensitivity of the denoising process is adjusted to a corresponding value using the second sensitivity adjustment coefficient.

[0047] Compared with the prior art, the beneficial effect of the present invention is that the present invention determines the fetal heart area based on the fetal morphology and uses a fetal heart detector to collect the fetal heart sound signal of the fetus, determines the eligibility of the determination of the fetal heart area according to the clarity of the fetal heart sound signal, determines that the determination of the fetal heart area is unqualified under the condition that the signal clarity is less than the preset clarity, and adjusts the fetal heart area according to the fetal position change value. By determining the fetal heart area, the efficiency of detection can be improved. At the same time, the determination of the fetal heart area is determined to be qualified under the condition that the signal clarity is greater than or equal to the preset clarity, and determines whether the fetal heart activity is within the normal range based on the fetal heart rate variation coefficient within a first preset time length, and determines that the fetal heart activity is within the normal range under the condition that the fetal heart rate variation coefficient is less than the preset fetal heart rate variation coefficient, and obtains the fetal heart sound signals at different points and performs pre-processing operations such as filtering and denoising, and determines that the fetal heart activity is not within the normal range under the condition that the fetal heart rate variation coefficient is greater than or equal to the preset fetal heart rate variation coefficient. If the fetal heart rate is within the normal range and the pregnant woman's body position is changed or the fetal heart rate detection time is increased, the problem of inaccurate detection results caused by abnormal fetal heart rate can be avoided by determining whether the fetal heart activity is within the normal range. Then, based on the signal characteristic value, it is determined whether the acquisition of the preprocessed fetal heart sound signal meets the preset standard. Under the condition that the signal characteristic value is less than the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal does not meet the preset standard. The reason why the acquisition of the fetal heart sound signal does not meet the preset standard is determined based on the signal characteristic difference. Under the condition that the signal characteristic value is greater than or equal to the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal meets the preset standard. The image processing algorithm is used to convert the fetal heart sound signal into a visual image. By accurately locating the fetal heart area, dynamically adjusting the fetal heart detection strategy, optimizing the fetal heart sound signal preprocessing, realizing the visualization of the fetal heart sound signal, and improving the efficiency and accuracy of fetal heart monitoring, it provides more reliable technical support for fetal health monitoring.

[0048] Furthermore, the present invention determines the eligibility of the determination of the fetal heart area based on the clarity of the fetal heart sound signal, wherein, if the signal clarity is less than the preset clarity, the determination of the fetal heart area is determined to be unqualified, and the fetal heart area is adjusted according to the fetal position change value; if the signal clarity is greater than or equal to the preset clarity, the determination of the fetal heart area is determined to be qualified, and whether the fetal heart activity is within the normal range is determined based on the fetal heart rate variation coefficient within the first preset time length. By dynamically adjusting the fetal heart detection strategy, the collection quality of the fetal heart sound signal can be ensured.

[0049] Furthermore, the present invention determines whether the fetal heart activity is within a normal range based on the fetal heart rate variation coefficient within a first preset time period, wherein if the fetal heart rate variation coefficient is less than the preset fetal heart rate variation coefficient, the fetal heart activity is determined to be within a normal range, and the fetal heart sound signals at different points are obtained and then preprocessing operations such as filtering and denoising are performed; if the fetal heart rate variation coefficient is greater than or equal to the preset fetal heart rate variation coefficient, the fetal heart activity is determined to be not within a normal range, and the pregnant woman's body position is changed or the fetal heart detection time is increased. Through preprocessing operations such as filtering and denoising, the signal quality is improved and the accuracy of subsequent image processing is ensured.

[0050] Furthermore, the present invention determines whether the acquisition of the preprocessed fetal heart sound signal meets the preset standard based on the signal characteristic value, wherein, if the signal characteristic value is less than the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal does not meet the preset standard, and the reason for not meeting the preset standard is determined based on the difference between the preset signal characteristic value and the signal characteristic value; if the signal characteristic value is greater than or equal to the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal meets the preset standard, and the image processing algorithm is used to convert the fetal heart sound signal into a visual image. Through the image processing algorithm, the fetal heart sound signal can be converted into a visual image, providing doctors with intuitive and clear fetal heart monitoring results, helping doctors to more accurately judge the health status of the fetus and improve the accuracy and reliability of fetal heart monitoring.

[0051] Furthermore, the present invention determines the reason why the acquisition of the fetal heart sound signal does not meet the preset standard based on the signal characteristic difference, wherein, if the signal characteristic difference is less than the preset signal characteristic difference, then it is determined that the reason why the acquisition of the fetal heart sound signal does not meet the preset standard is that the determination of the signal collection point is unqualified, and the spacing between the signal collection points is reduced according to the signal fluctuation value; if the signal characteristic difference is greater than or equal to the preset signal characteristic difference, then it is determined that the reason why the acquisition of the fetal heart sound signal does not meet the preset standard is that the denoising process is unqualified, and the sensitivity of the denoising process is improved according to the proportion of interference signals. By dynamically adjusting the fetal heart detection strategy and optimizing the preprocessing process, it can adapt to the fetal heart monitoring needs in different situations and provide more comprehensive and accurate support for fetal health monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a flow chart of a method for graphically imaging fetal heart ultrasound sound signals based on artificial intelligence according to an embodiment of the present invention;

[0053] Figure 2 A flow chart of determining eligibility of a fetal heart region according to an embodiment of the present invention;

[0054] Figure 3 This is a flow chart of an embodiment of the present invention for determining whether fetal heart activity is within a normal range;

[0055] Figure 4 This is a flow chart of an embodiment of the present invention for determining whether the acquisition of a preprocessed fetal heart sound signal meets a preset standard. DETAILED DESCRIPTION

[0056] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0057] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0058] It should be pointed out that the data in this embodiment are all obtained by comprehensive analysis and evaluation of the historical test data of the present invention in the three months before this test and the corresponding historical test results. Those skilled in the art can understand that the method of determining the above-mentioned single parameter of the method of the present invention can be to select the value with the highest proportion as the preset standard parameter according to the data distribution, use weighted summation to use the obtained value as the preset standard parameter, substitute each historical data into a specific formula and use the value obtained by the formula as the preset standard parameter or other selection methods, as long as the method of the present invention can clearly define the different specific situations in the single determination process through the obtained value.

[0059] See also Figure 1 、 Figure 2 、 Figure 3 as well as Figure 4 As shown, Figure 1 This is a flow chart of a method for graphically imaging fetal heart ultrasound sound signals based on artificial intelligence according to an embodiment of the present invention; Figure 2 A flow chart of determining eligibility of a fetal heart region according to an embodiment of the present invention; Figure 3 This is a flow chart of an embodiment of the present invention for determining whether fetal heart activity is within a normal range; Figure 4 This is a flow chart of an embodiment of the present invention for determining whether the acquisition of a preprocessed fetal heart sound signal meets a preset standard.

[0060] An embodiment of the present invention provides a method for graphically imaging fetal heart ultrasound sound signals based on artificial intelligence, comprising:

[0061] S1, determining the fetal heart region based on the fetal morphology and using a fetal heart monitor to collect the fetal heart sound signal;

[0062] S2, determining eligibility of the fetal heart region according to the clarity of the fetal heart sound signal, determining that the fetal heart region is unqualified if the signal clarity is less than a preset clarity, and adjusting the fetal heart region according to the fetal position change value;

[0063] S3, determining that the fetal heart area is qualified under the condition that the signal clarity is greater than or equal to the preset clarity, and determining whether the fetal heart activity is within a normal range based on the fetal heart rate variation coefficient within the first preset time period;

[0064] S4, determining that the fetal heart activity is within a normal range under the condition that the fetal heart rate variation coefficient is less than a preset fetal heart rate variation coefficient, and obtaining fetal heart sound signals at different points and performing preprocessing operations such as filtering and denoising;

[0065] S5, under the condition that the fetal heart rate variation coefficient is greater than or equal to the preset fetal heart rate variation coefficient, determining that the fetal heart activity is not within the normal range, and changing the pregnant woman's body position or increasing the fetal heart rate detection time;

[0066] S6, determining whether the acquisition of the preprocessed fetal heart sound signal meets a preset standard based on the signal characteristic value, determining that the acquisition of the fetal heart sound signal does not meet the preset standard if the signal characteristic value is less than a preset signal characteristic value, and determining the reason why the acquisition of the fetal heart sound signal does not meet the preset standard based on the signal characteristic difference;

[0067] S7, under the condition that the signal characteristic value is greater than or equal to the preset signal characteristic value, determining that the acquisition of the fetal heart sound signal meets the preset standard, and using an image processing algorithm to convert the fetal heart sound signal into a visual image.

[0068] Specifically, the process of determining the fetal heart region based on fetal morphology includes:

[0069] Use an ultrasound probe to determine the fetal outline and position;

[0070] Determine the preset size of the fetal heart based on the size of the fetus, and then determine the preset area of ​​the fetal heart;

[0071] Use a fetal heart rate monitor to collect fetal heart sound signals within a preset area outline;

[0072] Comparing the received intensity of the fetal heart sound signal with a preset sound signal intensity;

[0073] The fetal heart region is determined under the condition that the fetal heart sound signal strength is greater than or equal to the preset sound signal strength.

[0074] In an embodiment of the present invention, the ultrasound probe is a convex array probe, which is used to detect the outline and position of the fetus inside the pregnant woman's abdomen, so as to facilitate the determination of the area where the fetal heart is located. The approximate proportion of the fetal heart can be determined according to the size of the fetus, thereby further limiting the fetal heart area.

[0075] Optionally, the fetal heart rate detector is, for example, a Doppler fetal heart rate detector, a stethoscope-type fetal heart rate detector, and an intelligent fetal heart rate monitor. In an embodiment of the present invention, the fetal heart rate detector is a Doppler fetal heart rate detector.

[0076] In the embodiment of the present invention, the area of ​​the preset area is 10 cm×10 cm, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0077] In the embodiment of the present invention, the preset sound signal intensity is 5 mW / cm², but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0078] Specifically, the eligibility of the fetal heart region is determined based on the clarity of the fetal heart sound signal, wherein:

[0079] If the signal clarity is less than the preset clarity of 0.98, the determination of the fetal heart region is determined to be unqualified, and the fetal heart region is adjusted according to the fetal position change value;

[0080] If the signal clarity is greater than or equal to the preset clarity, the fetal heart area is determined to be qualified, and whether the fetal heart activity is within a normal range is determined based on the fetal heart rate variation coefficient within the first preset time length of 30 minutes.

[0081] Specifically, the signal clarity is determined based on the signal-to-noise ratio and the error vector magnitude, and the determination process includes:

[0082] The ratio of the signal-to-noise ratio to the signal-to-noise ratio threshold is squared and multiplied by the first evaluation coefficient to obtain a signal-to-noise ratio evaluation value, where the first evaluation coefficient is 0.52 and the signal-to-noise ratio threshold is 20 dB;

[0083] Squaring the ratio of the error vector magnitude threshold to the absolute value of the error vector magnitude and multiplying the square by a second evaluation coefficient to obtain an error vector magnitude evaluation value, where the second evaluation coefficient is 0.45 and the error vector magnitude threshold is 0.1;

[0084] The sum of the signal-to-noise ratio evaluation value and the error vector magnitude evaluation value is recorded as the signal clarity.

[0085] In the embodiment of the present invention, the preset clarity value is 0.98, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0086] Specifically, the fetal heart region is adjusted according to the fetal position change value, wherein:

[0087] If the fetal position change value is less than the preset position change value, the fetal heart area is adjusted to the corresponding value using a first displacement adjustment coefficient of 0.15;

[0088] If the fetal position change value is greater than or equal to the preset position change value, the fetal heart area is adjusted to the corresponding value using a second displacement adjustment coefficient of 0.18.

[0089] In the embodiment of the present invention, the preset body position change value is 5 cm, but the above value is not limited thereto, and those skilled in the art can also adjust the value according to actual needs.

[0090] Specifically, the displacement adjustment coefficient is the ratio of the fetal position change value to the maximum distance of the horizontal plane where the displacement direction in the uterus is located.

[0091] Specifically, whether the fetal heart rate activity is within a normal range is determined based on the fetal heart rate variation coefficient within the first preset time period, wherein:

[0092] If the fetal heart rate variation coefficient is less than the preset fetal heart rate variation coefficient of 5 beats / minute, the fetal heart activity is determined to be within the normal range, and fetal heart sound signals at different points are obtained and then pre-processed by filtering, denoising, etc.;

[0093] If the fetal heart rate variation coefficient is greater than or equal to the preset fetal heart rate variation coefficient, it is determined that the fetal heart activity is not within the normal range, and the pregnant woman's position is changed or the fetal heart detection time is increased.

[0094] In the embodiment of the present invention, the preset fetal heart rate variation coefficient is 5 beats / minute, but the above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.

[0095] Specifically, the process of obtaining the fetal heart sound signal includes:

[0096] Determine the point with the strongest signal in the fetal heart area;

[0097] With the strongest signal point as the center, radiate outwards to the surrounding areas and determine a point at a preset distance of 1 cm.

[0098] After detecting each point for the second preset time of 30 seconds, switch to the next point;

[0099] When the point signal strength value is less than a preset strength value, the detection is stopped and the acquisition of the fetal heart sound signal is completed.

[0100] In the embodiment of the present invention, the preset distance is 1 cm, and the second preset time is 30 seconds, but the above values ​​are not limited thereto, and those skilled in the art may also adjust the values ​​according to actual needs.

[0101] Specifically, it is determined whether the acquisition of the pre-processed fetal heart sound signal meets the preset standard based on the signal characteristic value, wherein:

[0102] If the signal characteristic value is less than a preset signal characteristic value of 0.95, it is determined that the acquisition of the fetal heart sound signal does not meet the preset standard, and the reason for not meeting the preset standard is determined based on the difference between the preset signal characteristic value and the signal characteristic value;

[0103] If the signal characteristic value is greater than or equal to the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal meets the preset standard, and the fetal heart sound signal is converted into a visual image using an image processing algorithm.

[0104] Specifically, the signal characteristic value is the ratio of the fetal heart signal to all received signals.

[0105] In the embodiment of the present invention, the preset signal characteristic value is 0.95, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0106] Specifically, the reason why the acquisition of the fetal heart sound signal does not meet the preset standard is determined based on the signal characteristic difference, wherein:

[0107] If the signal characteristic difference is less than a preset signal characteristic difference of 0.03, it is determined that the acquisition of the fetal heart sound signal does not meet the preset standard because the determination of the signal collection points is unqualified, and the spacing between the signal collection points is reduced according to the signal fluctuation value;

[0108] If the signal characteristic difference is greater than or equal to the preset signal characteristic difference, determining that the acquisition of the fetal heart sound signal does not meet the preset standard is due to failure of the denoising process, and increasing the sensitivity of the denoising process according to the proportion of the interference signal;

[0109] The signal characteristic difference value is the difference between the preset signal characteristic value and the signal characteristic value.

[0110] In the embodiment of the present invention, the preset signal characteristic difference value is 0.03, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0111] Specifically, the spacing between signal collection points is reduced according to the signal fluctuation value, where:

[0112] If the signal fluctuation value is less than the preset fluctuation value of 0.12, the spacing between the signal collection points is adjusted to the corresponding value using the first spacing adjustment coefficient of 0.99;

[0113] If the signal fluctuation value is greater than or equal to the preset fluctuation value, the second spacing adjustment coefficient 0.97 is used to adjust the spacing of the signal collection points to a corresponding value.

[0114] Specifically, the signal fluctuation value is the variance of the signal strength value.

[0115] In the embodiment of the present invention, the preset fluctuation value is 0.12, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0116] Specifically, the sensitivity of the denoising process is improved according to the proportion of interference signals, where

[0117] If the interference signal ratio is less than the preset interference signal ratio of 3%, the sensitivity of the denoising process is adjusted to the corresponding value using the first sensitivity adjustment coefficient 1.02;

[0118] If the interference signal ratio is greater than or equal to the preset interference signal ratio, the sensitivity of the denoising process is adjusted to a corresponding value using a second sensitivity adjustment coefficient of 1.05.

[0119] In the embodiment of the present invention, the preset interference signal ratio is 3%, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0120] Specifically, the process of converting fetal heart sound signals into visual images using image processing algorithms includes:

[0121] Use a large number of fetal heart sound signals to train artificial intelligence models;

[0122] Building an artificial intelligence model capable of identifying fetal heart sound signal characteristics based on training data;

[0123] Use the trained artificial intelligence model to identify and analyze new fetal heart sound signals;

[0124] Generate a fetal heart image based on the analysis results and mark out key information.

[0125] In an embodiment of the present invention, the artificial intelligence model is a convolutional neural network (CNN).

[0126] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0127] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A fetal heart ultrasound sound signal graphic imaging method based on artificial intelligence, characterized in that: include: Determine the fetal heart area based on the fetal morphology and use a fetal heart monitor to collect the fetal heart sound signal; Determining eligibility of the fetal heart region according to the clarity of the fetal heart sound signal, determining that the fetal heart region is unqualified if the signal clarity is less than a preset clarity, and adjusting the fetal heart region according to the fetal position change value; Under the condition that the signal clarity is greater than or equal to the preset clarity, determining that the fetal heart area is qualified, and determining whether the fetal heart activity is within a normal range based on the fetal heart rate variation coefficient within the first preset time period; Under the condition that the fetal heart rate variation coefficient is less than the preset fetal heart rate variation coefficient, it is determined that the fetal heart activity is within the normal range, and fetal heart sound signals at different points are obtained and then filtered and denoised; Under the condition that the fetal heart rate variation coefficient is greater than or equal to the preset fetal heart rate variation coefficient, determining that the fetal heart activity is not within the normal range, and changing the pregnant woman's body position or increasing the fetal heart detection time; determining whether the acquisition of the preprocessed fetal heart sound signal meets a preset standard based on the signal characteristic value, determining that the acquisition of the fetal heart sound signal does not meet the preset standard if the signal characteristic value is less than a preset signal characteristic value, and determining the reason why the acquisition of the fetal heart sound signal does not meet the preset standard based on the signal characteristic difference; Under the condition that the signal characteristic value is greater than or equal to the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal meets the preset standard, and the fetal heart sound signal is converted into a visual image using an image processing algorithm; The reason why the acquisition of the fetal heart sound signal does not meet the preset standard is determined based on the signal characteristic difference, wherein: If the signal characteristic difference is less than a preset signal characteristic difference, it is determined that the acquisition of the fetal heart sound signal does not meet the preset standard because the determination of the signal collection points is unqualified, and the spacing between the signal collection points is reduced according to the signal fluctuation value; If the signal characteristic difference is greater than or equal to the preset signal characteristic difference, it is determined that the reason why the acquisition of the fetal heart sound signal does not meet the preset standard is that the denoising process is unqualified, and the sensitivity of the denoising process is increased according to the proportion of the interference signal; The signal characteristic difference value is the difference between the preset signal characteristic value and the signal characteristic value; Reduce the spacing between signal collection points according to the signal fluctuation value, where: If the signal fluctuation value is less than the preset fluctuation value, the spacing between the signal collection points is adjusted to a corresponding value using the first spacing adjustment coefficient; If the signal fluctuation value is greater than or equal to the preset fluctuation value, the spacing between the signal collection points is adjusted to a corresponding value using a second spacing adjustment coefficient; Improve the sensitivity of the denoising process according to the proportion of interference signals, where If the interference signal ratio is less than the preset interference signal ratio, the sensitivity of the denoising process is adjusted to a corresponding value using the first sensitivity adjustment coefficient; If the interference signal ratio is greater than or equal to the preset interference signal ratio, the sensitivity of the denoising process is adjusted to a corresponding value using the second sensitivity adjustment coefficient.

2. The artificial intelligence-based fetal heart ultrasound sound signal graphic imaging method according to claim 1, characterized in that: The process of determining fetal heart region based on fetal morphology includes: Use an ultrasound probe to determine the fetal outline and position; Determine the preset size of the fetal heart based on the size of the fetus, and then determine the preset area of ​​the fetal heart; Use a fetal heart rate monitor to collect fetal heart sound signals within a preset area outline; Comparing the received intensity of the fetal heart sound signal with a preset sound signal intensity; The fetal heart region is determined under the condition that the fetal heart sound signal strength is greater than or equal to the preset sound signal strength.

3. The artificial intelligence-based fetal heart ultrasound sound signal graphic imaging method according to claim 2, characterized in that: The eligibility of the fetal heart region is determined based on the clarity of the fetal heart sound signal, wherein: If the signal clarity is less than the preset clarity, it is determined that the determination of the fetal heart region is unqualified, and the fetal heart region is adjusted according to the fetal position change value; If the signal clarity is greater than or equal to the preset clarity, the fetal heart area is determined to be qualified, and whether the fetal heart activity is within a normal range is determined based on the fetal heart rate variation coefficient within the first preset time period.

4. The artificial intelligence-based fetal heart ultrasound sound signal graphic imaging method according to claim 3, characterized in that: The fetal heart region is adjusted according to the fetal position change value, wherein: If the fetal position change value is less than a preset fetal position change value, adjusting the fetal heart area to a corresponding value using a first displacement adjustment coefficient; If the fetal position change value is greater than or equal to the preset position change value, the fetal heart area is adjusted to a corresponding value using a second displacement adjustment coefficient.

5. The artificial intelligence-based fetal heart ultrasound sound signal graphic imaging method according to claim 4, characterized in that: Determine whether the fetal heart rate activity is within a normal range based on the fetal heart rate variation coefficient within the first preset time period, wherein: If the fetal heart rate variation coefficient is less than the preset fetal heart rate variation coefficient, it is determined that the fetal heart activity is within the normal range, and fetal heart sound signals at different points are obtained and then filtered and denoised; If the fetal heart rate variation coefficient is greater than or equal to the preset fetal heart rate variation coefficient, it is determined that the fetal heart activity is not within the normal range, and the pregnant woman's position is changed or the fetal heart detection time is increased.

6. The artificial intelligence-based fetal heart ultrasound sound signal graphic imaging method according to claim 5, characterized in that: The process of obtaining the fetal heart sound signal includes: Determine the point with the strongest signal in the fetal heart area; With the strongest signal point as the center, a point is determined at each preset distance in the surrounding area. After detecting the second preset time at each point, switch to the next point; When the point signal strength value is less than a preset strength value, the detection is stopped and the acquisition of the fetal heart sound signal is completed.

7. The artificial intelligence-based fetal heart ultrasound sound signal graphic imaging method according to claim 6, characterized in that: Based on the signal characteristic value, it is determined whether the acquisition of the pre-processed fetal heart sound signal meets the preset standard, wherein, If the signal characteristic value is less than a preset signal characteristic value, determining that the acquisition of the fetal heart sound signal does not meet the preset standard, and determining the reason for not meeting the preset standard based on the difference between the preset signal characteristic value and the signal characteristic value; If the signal characteristic value is greater than or equal to the preset signal characteristic value, it is determined that the acquisition of the fetal heart sound signal meets the preset standard, and the fetal heart sound signal is converted into a visual image using an image processing algorithm.

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