Umbilical cord ligation time determination method, device and equipment and storage medium

Abstract

The invention discloses an umbilical cord ligation moment determination method, device and equipment and a storage medium, the method comprises the steps that production information of a newborn is acquired, and the production information comprises blood flow fluctuation, a blood gas analysis result, vital signs, oxygen saturation and a case of a pregnant woman to which the newborn belongs, the vital signs comprise body weight, respiratory rate and heart rate; and obtaining the umbilical cord ligation time based on the production information and the delayed ligation time prediction model. Through the production information of the newborn, the ligation time of delayed ligation of the umbilical cord is predicted, the accuracy of the ligation time is improved, the umbilical cord ligation time can be determined in time according to the production information of the newborn, danger is avoided, and the risk of delayed ligation is reduced.

Description

Technical Field

[0001] The present application belongs to the field of clinical decision support technology, and in particular relates to a method, device, equipment and storage medium for determining the time of umbilical cord ligation. Background Art

[0002] Placental transfusion is a strategy that promotes the flow of remaining blood in the placenta to the newborn by delaying umbilical cord ligation or compression. When the umbilical cord of a newborn is tied, delayed ligation can be used to delay placental transfusion to ensure that the newborn can obtain sufficient blood supplements from the placenta, reduce the need for blood transfusion, improve the newborn's immune function, and promote the newborn's neurological development. However, in the existing technology, the time of delayed ligation is determined only by the doctor based on the fetal condition and clinical experience. This method relies heavily on the doctor's experience and is prone to unnecessary risks and delays, making delayed ligation less accurate and more risky. Summary of the Invention

[0003] The embodiments of the present application provide an implementation solution that is different from the prior art to solve the technical problems of low accuracy and high risk of delayed ligation.

[0004] In a first aspect, the present application provides a method for determining the time of umbilical cord ligation, comprising: obtaining birth information of a newborn, the birth information including: blood flow fluctuations, blood gas analysis results, vital signs, oxygen saturation, and a medical record of the pregnant woman to whom the newborn belongs, wherein the vital signs include weight, respiratory rate, and heart rate; and obtaining the time of umbilical cord ligation based on the birth information and a delayed ligation time prediction model.

[0005] In a second aspect, the present application provides an umbilical cord ligation time determination device, comprising: an acquisition unit for acquiring birth information of a newborn, the birth information including: blood flow fluctuations, blood gas analysis results, vital signs, oxygen saturation, and a medical record of the pregnant woman to whom the newborn belongs, wherein the vital signs include weight, respiratory rate, and heart rate; and an acquisition unit for obtaining the umbilical cord ligation time based on the birth information and a delayed ligation time prediction model.

[0006] In a third aspect, the present application provides an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any method in the first aspect or any possible implementation of the first aspect by executing the executable instructions.

[0007] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any method in the first aspect or any possible implementation manner of the first aspect.

[0008] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method described in the first aspect or any possible implementation manner of the first aspect.

[0009] This application provides a method for obtaining birth information of newborns, including blood flow fluctuations, blood gas analysis results, vital signs, oxygen saturation, and the medical history of the pregnant woman to whom the newborn belongs. Vital signs include weight, respiratory rate, and heart rate. Based on birth information and a delayed ligation time prediction model, a method for determining the timing of umbilical cord ligation is developed. By predicting the time of delayed umbilical cord ligation based on the newborn's birth information, the accuracy of the ligation time is improved. The time of umbilical cord ligation can be determined promptly based on the newborn's birth information, avoiding danger and reducing the risk of delayed ligation. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0011] Figure 1 A schematic flow chart of a method for determining the umbilical cord ligation time according to an embodiment of the present application;

[0012] Figure 2 A schematic diagram of the structure of a device for collecting neonatal delivery information is provided for one embodiment of the present application;

[0013] Figure 3 A schematic diagram of the structure of an umbilical cord ligation time determination device provided in one embodiment of the present application;

[0014] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0015] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to be used to explain the present application, but should not be understood as limiting the present application.

[0016] The terms "first" and "second" in the specification, claims and drawings of the embodiments of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the embodiments of the present application described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0017] Placental transfusion is a strategy that delays umbilical cord clamping or compression to promote the flow of remaining placental blood to the newborn. Clinical studies have shown that this transfusion strategy has significant health benefits for newborns, particularly in premature infants. It can improve short-term outcomes, such as reducing anemia and transfusion requirements, and has also shown positive effects on long-term neurodevelopment and immune function. Consequently, in recent years, international and domestic clinical guidelines have recommended delayed umbilical cord clamping as a nursing measure. Specifically, when the umbilical cord is clamped for a newborn, delayed umbilical cord clamping can delay placental transfusion to ensure that the newborn receives sufficient blood from the placenta, reducing transfusion requirements, improving immune function, and promoting neurodevelopment. However, existing clinical guidelines only specify a time range for delayed umbilical cord clamping, such as a 90-second delay for premature infants and a 60-second delay for full-term infants. The specific delay period is typically determined by the physician based on fetal condition and clinical experience, lacking more precise, real-time data. This "one-size-fits-all" strategy can result in inconsistent amounts of placental transfusion for different newborns, failing to fully realize the maximum benefits of placental transfusion. Especially in premature babies, distressed deliveries or other high-risk delivery scenarios, there is a lack of real-time umbilical cord blood flow information and newborn physiological data support, and it relies heavily on the doctor's experience, which can easily cause unnecessary risks and delays, making delayed ligation less accurate and more risky.

[0018] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0019] Figure 1This is a flowchart of a method for determining the time of umbilical cord ligation provided in an exemplary embodiment of the present application. The method is applicable to a server, a server cluster, and a terminal device with data processing capabilities. The present application uses a server as an example. The method includes at least the following steps S101-S102:

[0020] S101. Obtaining birth information of a newborn, the birth information including: blood flow fluctuations, blood gas analysis results, vital signs, oxygen saturation, and a medical record of the pregnant woman to whom the newborn belongs. The vital signs include weight, respiratory rate, and heart rate.

[0021] Optionally, the blood flow fluctuation may be based on Figure 2 The umbilical cord blood monitoring device collects blood and sends it to the server. Blood flow fluctuations include arterial blood and venous blood.

[0022] Specifically, the Figure 2 The umbilical cord blood monitoring device includes an umbilical cord blood flow detection module, which uses non-contact or contact technology to detect the parameters of the blood flow fluctuation of the newborn's umbilical cord in real time, wherein the blood flow fluctuation includes parameters such as the umbilical cord blood flow fluctuation frequency and amplitude.

[0023] Optionally, the non-contact technology may be a technology based on reflected light volume scanning. The contact technology may be a technology based on a pressure sensor. Specifically, the non-contact technology may be rPPG (remote photoplethysmography) technology, which primarily measures changes in blood absorption and reflected light without contact to capture subtle skin color changes and thus measure blood flow fluctuations.

[0024] Optionally, when the blood flow fluctuations attenuate or disappear, ligation is required, and at this time, a voice prompt or text prompt can be used to prompt the doctor to tie the umbilical cord of the newborn.

[0025] Optionally, blood gas analysis results can be based on Figure 2 The umbilical cord blood monitoring device collects the data and sends it to the server.

[0026] Specifically, the Figure 2 The umbilical cord blood monitoring device includes an umbilical arterial blood gas analysis module, which uses optical and electrochemical principles to monitor blood gas analysis results such as pH, BE, and lactate. This blood gas analysis can promptly identify hypoxia and acidosis in newborns, providing a reference for subsequent treatment.

[0027] Optionally, weight can be based on Figure 2 The pressure sensor mattress module collects the data and sends it to the server.

[0028] Specifically, the pressure sensor mattress module is equipped with a high-precision pressure sensor, which measures the pressure exerted by the newborn on the mattress in real time. This pressure is then used to calculate the newborn's weight, ensuring accurate and timely measurement. This weight information allows for better confirmation of the newborn's need for placental transfusion, helping to better determine the time to extend umbilical cord ligation and assisting doctors in determining the timing of ligation.

[0029] Optionally, respiratory rate, heart rate, and oxygen saturation can be based on Figure 2 The heart rate and blood oxygen monitoring module and optical sensor module collect the data and send it to the server.

[0030] For example, Figure 2 As shown, the transmissive pulse oximeter probe in the heart rate and blood oxygen monitoring module is secured to the newborn's foot with a soft strap. The optical sensor module's LED light source emits red light (approximately 660 nanometers) and infrared light (approximately 940 nanometers). Combined with rPPG technology, it collects heart rate, respiratory rate, and oxygen saturation in real time. A video camera captures changes in light reflection from the newborn's skin surface, and image processing algorithms extract the weak pulse signal, enabling real-time heart rate acquisition. Specifically, due to heart rate fluctuations, the intensity of the transmitted light fluctuates with blood flow, forming a periodically varying signal that enables heart rate acquisition. By extracting signal changes from tiny chest or abdominal movements during breathing, the newborn's respiratory rate is assessed. When light penetrates the skin and blood vessels, some of the light is absorbed by the blood, while the remaining light is received by a light receiver. The received signal is used to determine the blood's oxygen saturation. By leveraging light absorption characteristics and real-time pulse fluctuation monitoring, the transmissive pulse oximeter probe can non-invasively, efficiently, and accurately assess oxygen saturation and heart rate.

[0031] Optionally, the pregnant woman's medical records can be collected based on an electronic medical record integration module and sent to a server. The electronic medical record integration module is used to connect to the hospital's electronic medical record system and re-extract key information such as the pregnant woman's gestational age, pregnancy complication records, and placental function from the hospital's electronic medical record system. The electronic medical record integration module can also automatically record surgical data in the pregnant woman's medical record, forming a complete case record for subsequent reference. Furthermore, to ensure the privacy and security of patient data, secure encryption can be performed during data storage, and relevant medical data protection laws and standards must be followed.

[0032] S102: Obtaining the umbilical cord ligation time based on the delivery information and the delayed ligation time prediction model.

[0033] Alternatively, as Figure 2As shown, the clinical decision support software is a terminal device with data processing capabilities and also has display functions. Therefore, based on the clinical decision support software, it can analyze the birth information composed of various newborn-related information to determine the time of umbilical cord ligation, thereby providing doctors with personalized and accurate delayed umbilical cord ligation time recommendations. The umbilical cord ligation time and birth information can also be displayed.

[0034] Optionally, the method of obtaining the umbilical cord ligation time based on the birth information and the delayed ligation time prediction model in S102 includes the following steps S1021-S1025:

[0035] S1021. Extracting time domain features of the vital signs and blood flow fluctuations in the birth information to obtain time domain features, wherein the time domain features include amplitude, periodicity, waveform morphology changes, heartbeat intervals, respiratory cycles, heart rate amplitude changes, and respiratory amplitude changes of umbilical cord fluctuations;

[0036] S1022. Performing spatial feature extraction on the blood flow fluctuation and the vital sign to obtain a spatial feature, wherein the spatial feature is used to describe the association between the blood flow fluctuation and the vital sign;

[0037] S1023. Obtaining time-frequency features based on the spatial features;

[0038] Optionally, the spatial features can be converted into time-frequency features using the Fourier transform method.

[0039] S1024. Update the production information based on the time domain feature, the spatial feature, the time-frequency feature, and the information in the production information other than the blood flow fluctuation and the vital sign to obtain new production information.

[0040] Optionally, the updating of the production information based on the time domain features, the spatial features, the time-frequency features, and the information in the production information other than the blood flow fluctuation and the vital signs to obtain new production information in S1024 includes the following steps S01-S02:

[0041] S01. Obtaining frequency domain features based on the time domain features;

[0042] Optionally, the time domain features can be converted into frequency domain features using a Fourier transform method.

[0043] S02. Taking the time domain features, the frequency domain features, the spatial features, the time-frequency features, and the information in the production information except the blood flow fluctuation and the vital features as new production information.

[0044] S1025: Obtaining the umbilical cord ligation time based on the delayed ligation time prediction model and the delivery information.

[0045] Optionally, the method further comprises the following steps S001-S003:

[0046] S001. Acquire sample data, wherein the sample data includes sample production information of a newborn;

[0047] S002. Using the sample data, train the initial time prediction model to obtain an intermediate time prediction model, until the intermediate time prediction model meets preset requirements;

[0048] Optionally, the initial time prediction model consists of two parts: a machine learning classification algorithm and a deep learning algorithm.

[0049] Optionally, when using sample data to train the initial time prediction model, a machine learning classification algorithm is used to preliminarily classify and screen the sample data. The machine learning classification algorithm includes various algorithms such as support vector machines, random forests, and gradient boosting machines. Deep learning algorithms are used to process complex sequence data and time series data. Deep learning algorithms include convolutional neural networks, recurrent neural networks, and long short-term memory networks.

[0050] Specifically, support vector machines (SVM) can be used to divide sample data into normal patterns and abnormal patterns, find the optimal decision boundary in high-dimensional space, and effectively distinguish abnormal patterns of sample data so as to prompt doctors to intervene in time.

[0051] Optionally, the sample data is historical birth information and ligation time data. A normal mode refers to the acquired birth information of a newborn that contains information within a normal range, indicating that the newborn is not in danger. An abnormal mode refers to the acquired birth information of a newborn that contains information indicating that the newborn is in a dangerous state.

[0052] Optionally, multiple decision tree models can be combined using random forests to improve the stability and accuracy of model predictions. The random forest algorithm is suitable for processing complex multimodal data, such as production data.

[0053] Optionally, a gradient boosting machine can process large-scale data sets and improve the model prediction effect by gradually correcting the error, making the prediction results more accurate.

[0054] Optionally, convolutional neural networks can capture local changes in production data and extract high-dimensional features through convolution kernel operations to help the model identify subtle changes in complex production data.

[0055] Alternatively, recurrent neural networks and long short-term memory networks can process time series data, capturing temporal dependencies in production data through memory mechanisms.

[0056] In summary, the network in the deep learning algorithm can identify the long-term trend of production data, predict data changes in the next few seconds, and then recommend the optimal time for umbilical cord ligation.

[0057] S003. Using the intermediate time prediction model as the delayed ligation time prediction model.

[0058] A large amount of sample data is used to predict the initial time prediction model, so that the delayed ligation time prediction model that is finally trained successfully can more accurately predict the appropriate ligation time based on the production data of different newborns.

[0059] Optionally, in order to improve the accuracy of the delayed ligation time prediction model, the method further includes: obtaining the umbilical cord ligation time and delivery information of the newborn, and optimizing the delayed ligation time prediction model using the umbilical cord ligation time and delivery information of the newborn.

[0060] Optionally, the method further includes: if the current moment is the umbilical cord ligation moment, reminding the doctor to perform umbilical cord ligation on the newborn through voice prompts or visual prompts.

[0061] Optionally, when the blood flow fluctuation in the delivery information attenuates, or the vital signs indicate that the newborn's vital signs are unstable, a visual or voice alarm may be used to remind the doctor to intervene.

[0062] Optionally, the method further comprises: displaying the delivery information for a doctor to view, so that the doctor can adjust the umbilical cord ligation time according to the real-time conditions of the pregnant woman and / or the newborn.

[0063] Optionally, birth information can be displayed in the form of charts, such as blood gas analysis results, vital signs, blood flow fluctuations, etc. This allows doctors to obtain birth information related to the newborn in an intuitive way, so that doctors can quickly understand and respond.

[0064] In summary, this solution obtains the birth information of the newborn, which includes: blood flow fluctuations, blood gas analysis results, vital signs, oxygen saturation, and the medical records of the pregnant woman to whom the newborn belongs, wherein the vital signs include weight, respiratory rate, and heart rate; based on the birth information and the delayed ligation time prediction model, a solution for the time of umbilical cord ligation is obtained. The time of delayed umbilical cord ligation is predicted by the birth information of the newborn, which improves the accuracy of the ligation time, and can timely determine the time of umbilical cord ligation based on the birth information of the newborn, avoiding danger and reducing the risk of delayed ligation. Among them, the birth information of the newborn detected in real time is intelligently analyzed to more accurately determine the time of umbilical cord ligation suitable for the newborn, and when the newborn is in danger, it can be detected and warned in time, better ensuring the safety of the newborn.

[0065] Figure 3 This is a schematic structural diagram of a device for determining the time of umbilical cord ligation provided in an exemplary embodiment of the present application; wherein the device comprises:

[0066] an acquisition unit 31 for acquiring birth information of the newborn, the birth information including: blood flow fluctuations, blood gas analysis results, vital signs, oxygen saturation, and a medical record of the pregnant woman to whom the newborn belongs, wherein the vital signs include weight, respiratory rate, and heart rate;

[0067] The obtaining unit 32 is configured to obtain the umbilical cord ligation time based on the delivery information and the delayed ligation time prediction model.

[0068] Optionally, when the device is used to obtain the umbilical cord ligation time based on the delivery information and the delayed ligation time prediction model, it is specifically used to: extract time domain features of the vital signs and blood flow fluctuations in the delivery information to obtain time domain features, wherein the time domain features include the amplitude, periodicity, waveform morphology changes, heartbeat intervals, respiratory cycles, heart rate amplitude changes, and respiratory amplitude changes of the umbilical cord fluctuations; extract spatial features of the blood flow fluctuations and the vital signs to obtain spatial features, wherein the spatial features are used to describe the association between the blood flow fluctuations and the vital signs; obtain time-frequency features based on the spatial features; update the delivery information based on the time domain features, the spatial features, the time-frequency features, and the information in the delivery information other than the blood flow fluctuations and the vital signs to obtain new delivery information; and obtain the umbilical cord ligation time based on the delayed ligation time prediction model and the delivery information.

[0069] Optionally, when the device is used to update the production information based on the time domain characteristics, the spatial characteristics, the time-frequency characteristics and the information in the production information other than the blood flow fluctuations and the vital signs to obtain new production information, it is specifically used to: obtain frequency domain characteristics based on the time domain characteristics; and use the time domain characteristics, the frequency domain characteristics, the spatial characteristics, the time-frequency characteristics and the information in the production information other than the blood flow fluctuations and the vital signs as new production information.

[0070] Optionally, the device is also used to: obtain sample data, wherein the sample data includes sample production information of newborns; use the sample data to train an initial time prediction model to obtain an intermediate time prediction model until the intermediate time prediction model meets preset requirements; and use the intermediate time prediction model as the delayed ligation time prediction model.

[0071] Optionally, the initial time prediction model in the device consists of two parts: a machine learning classification algorithm and a deep learning algorithm.

[0072] Optionally, the device is further configured to: if the current moment is the umbilical cord ligation moment, remind the doctor to perform umbilical cord ligation on the newborn through voice prompts or visual prompts.

[0073] Optionally, the device is further used to: display the delivery information for the doctor to view, so that the doctor can adjust the umbilical cord ligation time according to the real-time situation of the pregnant woman and / or the newborn.

[0074] It should be understood that the device embodiments and the method embodiments may correspond to each other, and similar descriptions may refer to the method embodiments. To avoid repetition, they will not be described in detail here. Specifically, the device can perform the above-mentioned method embodiments, and the aforementioned and other operations and / or functions of each module in the device are the corresponding processes in each method in the above-mentioned method embodiments, which will not be described in detail here for the sake of brevity.

[0075] The apparatus of the embodiment of the present application is described above from the perspective of functional modules in conjunction with the accompanying drawings. It should be understood that the functional module can be implemented in hardware form, can be implemented by instructions in software form, or can be implemented by a combination of hardware and software modules. Specifically, the steps of the method embodiment in the embodiment of the present application can be completed by the hardware integrated logic circuit and / or software form instructions in the processor, and the steps of the method disclosed in the embodiment of the present application can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software modules in the decoding processor. Optionally, the software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps in the above method embodiment in conjunction with its hardware.

[0076] Figure 4 : is a schematic block diagram of an electronic device provided in an embodiment of the present application, and the electronic device may include:

[0077] The memory 301 and the processor 302 are configured to store computer programs and transmit the program code to the processor 302. In other words, the processor 302 can call and run the computer program from the memory 301 to implement the method in the embodiment of the present application.

[0078] For example, the processor 302 may be configured to execute the above method embodiments according to instructions in the computer program.

[0079] In some embodiments of the present application, the processor 302 may include but is not limited to:

[0080] General-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.

[0081] In some embodiments of the present application, the memory 301 includes but is not limited to:

[0082] Volatile memory and / or non-volatile memory. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus random access memory (DR RAM).

[0083] In some embodiments of the present application, the computer program may be divided into one or more modules, which are stored in the memory 301 and executed by the processor 302 to implement the method provided by the present application. The one or more modules may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program in the electronic device.

[0084] like Figure 4 As shown, the electronic device may further include:

[0085] The transceiver 303 may be connected to the processor 302 or the memory 301 .

[0086] The processor 302 may control the transceiver 303 to communicate with other devices. Specifically, the processor 302 may send information or data to other devices or receive information or data sent by other devices. The transceiver 303 may include a transmitter and a receiver. The transceiver 303 may further include one or more antennas.

[0087] It should be understood that the various components in the electronic device are connected via a bus system, wherein the bus system includes not only a data bus but also a power bus, a control bus and a status signal bus.

[0088] The present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a computer, enables the computer to perform the method of the above-mentioned method embodiment. In other words, the present application also provides a computer program product containing instructions, which, when executed by a computer, enables the computer to perform the method of the above-mentioned method embodiment.

[0089] When software is used for implementation, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a digital video disc (DVD)), or a semiconductor medium (e.g., a solid state drive (SSD)).

[0090] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0091] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the modules is merely a logical function division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0092] Modules described as separate components may or may not be physically separate, and components displayed as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network elements. Some or all of the modules may be selected based on actual needs to achieve the purpose of the present embodiment. For example, the functional modules in the various embodiments of the present application may be integrated into a processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module.

[0093] The above are only specific embodiments of the present application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for determining the time of umbilical cord ligation, characterized in that: include: Obtaining birth information of the newborn, the birth information including: blood flow fluctuations, blood gas analysis results, vital signs, oxygen saturation, and a medical record of the pregnant woman to whom the newborn belongs, wherein the vital signs include weight, respiratory rate, and heart rate; The umbilical cord ligation time was obtained based on the delivery information and the delayed ligation time prediction model.

2. The method according to claim 1, characterized in that The method of obtaining the umbilical cord ligation time based on the birth information and the delayed ligation time prediction model includes: Extracting time domain features of the vital signs and blood flow fluctuations in the birth information to obtain time domain features, wherein the time domain features include amplitude, periodicity, waveform morphology changes, heartbeat intervals, respiratory cycles, heart rate amplitude changes, and respiratory amplitude changes of umbilical cord fluctuations; performing spatial feature extraction on the blood flow fluctuation and the vital sign to obtain a spatial feature, wherein the spatial feature is used to describe the correlation between the blood flow fluctuation and the vital sign; Obtaining time-frequency features based on the spatial features; updating the production information based on the time domain feature, the spatial feature, the time-frequency feature, and the information in the production information other than the blood flow fluctuation and the vital sign to obtain new production information; The umbilical cord ligation time is obtained based on the delayed ligation time prediction model and the production information.

3. The method according to claim 2, characterized in that The updating of the production information based on the time domain feature, the spatial feature, the time-frequency feature, and the information in the production information other than the blood flow fluctuation and the vital sign to obtain new production information includes: Obtaining frequency domain features based on the time domain features; The time domain features, the frequency domain features, the spatial features, the time-frequency features, and information in the production information except the blood flow fluctuation and the vital features are used as new production information.

4. The method according to claim 1, wherein The method further comprises: Acquiring sample data, wherein the sample data includes sample production information of a newborn; Using the sample data to train the initial time prediction model to obtain an intermediate time prediction model, until the intermediate time prediction model meets the preset requirements; The intermediate time prediction model is used as the delayed ligation time prediction model.

5. The method according to claim 4, characterized in that The initial time prediction model consists of two parts: a machine learning classification algorithm and a deep learning algorithm.

6. The method according to claim 1, characterized in that The method further comprises: If the current moment is the umbilical cord ligation time, the doctor is reminded to perform umbilical cord ligation on the newborn through voice prompts or visual prompts.

7. The method according to claim 1, characterized in that The method further comprises: The delivery information is displayed for the doctor to view, so that the doctor can adjust the umbilical cord ligation time according to the real-time situation of the pregnant woman and / or the newborn.

8. A device for determining the time of umbilical cord ligation, characterized in that: include: an acquisition unit, configured to acquire birth information of the newborn, the birth information including: blood flow fluctuations, blood gas analysis results, vital signs, oxygen saturation, and a medical record of the pregnant woman to whom the newborn belongs, wherein the vital signs include weight, respiratory rate, and heart rate; The obtaining unit is used to obtain the umbilical cord ligation time based on the production information and the delayed ligation time prediction model.

9. An electronic device, characterized in that: include: processor; as well as a memory for storing executable instructions of the processor; The processor is configured to perform the method according to any one of claims 1 to 7 by executing the executable instructions.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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