Newborn cerebral blood flow stabilization method and system

Abstract

The invention relates to a neonatal cerebral blood flow stabilization method and system. The method comprises the steps that blood gas monitoring data of a neonatal patient is obtained; and inputting the blood gas monitoring data into a pressure applying part to enable the pressure applying part to apply corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, so that the cerebral blood flow of the neonatal patient is stably maintained in a preset range. According to the scheme of the embodiment, the blood gas monitoring data can be directly used for guiding carotid sinus pressure intervention so as to adjust the cerebral blood flow, the newborn cerebral hemorrhage can be efficiently and accurately monitored and intervened, the newborn cerebral blood flow distribution is stable, the newborn intracranial hemorrhage occurrence rate is reduced, and therefore the life quality of a newborn patient is improved.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the field of medical treatment technology, and in particular to a method and system for stabilizing cerebral blood flow in neonates. Background Art

[0002] Neonatal intracerebral hemorrhage, also known as neonatal intracranial hemorrhage, is a common clinical problem in the neonatal period. Severe cases can lead to death or leave long-term sequelae. Depending on the location of the hemorrhage, it can be broadly categorized as premature germinal matrix hemorrhage (IVH), subdural hemorrhage, primary subarachnoid hemorrhage, and cerebellar hemorrhage. In short, neonatal intracerebral hemorrhage is a serious and urgent condition that requires close monitoring and timely treatment.

[0003] In this regard, the main treatment method at present is to observe the symptoms of the child (such as strabismus, anisocoria, neck stiffness, full anterior fontanelle, irritability, drowsiness, excitement, convulsions, hemiplegia, stupor, coma, etc.) and promptly deal with dehydration, symptomatic treatment to reduce intracranial pressure, and ventricular puncture or lumbar puncture when the amount of bleeding is large. Severe cases require timely surgical treatment. However, these treatment methods are all manual observation measures taken when or after the child has bleeding symptoms. In some cases, bleeding may occur even when there are no symptoms. In other words, there is currently a lack of efficient and accurate monitoring and intervention programs for neonatal cerebral hemorrhage, which leads to a high incidence of intracranial hemorrhage in newborns and greatly affects the life safety of children. Summary of the Invention

[0004] In order to solve the above technical problems or at least partially solve the above technical problems, the embodiments of the present disclosure provide a method and system for stabilizing cerebral blood flow in neonates.

[0005] In a first aspect, the present disclosure provides a method for stabilizing cerebral blood flow in neonates, comprising:

[0006] Obtain blood gas monitoring data for neonatal patients;

[0007] The blood gas monitoring data is input into the pressure applying component so that the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, thereby stably maintaining the cerebral blood flow of the neonatal patient within a preset range.

[0008] In one embodiment, the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, including:

[0009] When it is determined that the blood gas monitoring data is greater than a first parameter threshold, the pressure applying component generates a first control signal; wherein, the first control signal is used to cause the pressure applying component to apply a first preset pressure of external stimulation to the carotid sinus to reduce the carotid artery pressure, thereby reducing the cerebral blood flow of the neonatal patient.

[0010] In one embodiment, the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, including:

[0011] When it is determined that the blood gas monitoring data is less than a second parameter threshold, the pressure applying component generates a second control signal; wherein, the second control signal is used to cause the pressure applying component to apply a second preset pressure of external stimulation to the carotid sinus to increase the carotid artery pressure, thereby increasing the cerebral blood flow of the neonatal patient.

[0012] In one embodiment, the blood gas monitoring data includes at least transcutaneous carbon dioxide partial pressure.

[0013] In one embodiment, the first parameter threshold value is 46-60 mmHg, and the second parameter threshold value is 35 mmHg.

[0014] In one embodiment, the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, including:

[0015] Inputting the blood gas monitoring data into a target model to obtain pressure data; wherein the target model is obtained by pre-training a deep learning model based on sample blood gas monitoring data and corresponding sample pressure data; the sample blood gas monitoring data includes historical blood gas monitoring data of the neonatal patient and / or blood gas monitoring data of other neonatal patients that meet preset conditions;

[0016] The pressure applying component generates a third control signal based on the pressure data, and applies a third preset pressure of external stimulation to the carotid sinus based on the third control signal.

[0017] In one embodiment, the blood gas monitoring data of other neonatal patients that meet the preset conditions include: blood gas monitoring data of other neonatal patients who have the same gender as the neonatal patient and whose gestational age and weight meet the preset conditions.

[0018] In a second aspect, the present disclosure provides a neonatal cerebral blood flow stabilization system, comprising:

[0019] An acquisition module is used to obtain blood gas monitoring data of neonatal patients;

[0020] The control module is used to input the blood gas monitoring data into the pressure applying component so that the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, thereby stably maintaining the cerebral blood flow of the neonatal patient within a preset range.

[0021] In a third aspect, an embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for stabilizing cerebral blood flow in neonates as described in any of the above embodiments.

[0022] In a fourth aspect, an embodiment of the present disclosure provides an electronic device, including:

[0023] processor; and

[0024] Memory for storing computer programs;

[0025] Wherein, the processor is configured to execute the method for stabilizing cerebral blood flow in newborns described in any of the above embodiments by executing the computer program.

[0026] The technical solution provided by the embodiments of the present disclosure has the following advantages over the prior art:

[0027] The disclosed embodiments provide a method and system for stabilizing cerebral blood flow in neonates, which obtains blood gas monitoring data from neonates and inputs the blood gas monitoring data into a pressure applying component, so that the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonate based on the blood gas monitoring data, thereby stabilizing the cerebral blood flow in the neonate within a preset range. The solution of this embodiment can directly use blood gas monitoring data to guide carotid sinus pressure intervention to regulate cerebral blood flow. It can efficiently and accurately monitor and intervene in neonatal cerebral hemorrhage, such as accurately monitoring and stabilizing the cerebral blood flow of the child in real time to accurately stabilize the cerebral blood flow of the child within a certain range, thereby preventing and avoiding cerebral hemorrhage. It can also timely intervene to reduce cerebral hemorrhage when symptoms first appear or when there is actual cerebral hemorrhage in the absence of symptoms. Overall, it can efficiently and accurately monitor and intervene in neonatal cerebral hemorrhage, stabilize the distribution of cerebral blood flow in the neonate, thereby reducing the incidence of intracranial hemorrhage in the neonate, thereby improving the quality of life of the neonate and maximizing the life safety of the child. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0029] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0030] Figure 1 This is a flow chart of a method for stabilizing cerebral blood flow in neonates according to an embodiment of the present disclosure;

[0031] Figure 2 This is a schematic diagram of the architecture of a neonatal cerebral blood flow stabilization system according to an embodiment of the present disclosure;

[0032] Figure 3 This is a flow chart of a method for stabilizing cerebral blood flow in neonates according to another embodiment of the present disclosure;

[0033] Figure 4 This is a schematic diagram of a neonatal cerebral blood flow stabilization system according to an embodiment of the present disclosure;

[0034] Figure 5 Schematic diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features therein can be combined with each other in the absence of conflict.

[0036] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0037] It should be understood that, in the following text, "at least one (item)" refers to one or more, and "plurality" refers to two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0038] Figure 1This is a flow chart of a method for stabilizing cerebral blood flow in neonates according to an embodiment of the present disclosure. The method can be executed by the electronic device 20 and includes the following steps:

[0039] Step S101: Obtaining blood gas monitoring data of a neonatal patient.

[0040] For example, in one embodiment, the blood gas monitoring data may include at least transcutaneous carbon dioxide partial pressure (TC-CO2). Figure 2 As shown, the electronic device 20 such as a computer can be connected to a blood gas monitoring instrument to obtain blood gas monitoring data of the neonatal patient such as transcutaneous carbon dioxide partial pressure detected by the blood gas monitoring instrument in real time or at regular intervals.

[0041] The principle of transcutaneous carbon dioxide partial pressure monitoring is to heat the electrodes of the local skin to change the permeability of the skin, dilate the capillaries, and reduce the solubility of the gas, so that the gas in the blood is more easily released and passes through the skin, and is detected by the electrodes on the skin surface, and finally the CO2 partial pressure of the subcutaneous tissue is measured. It is a simple to operate, safe and effective, sustainable, dynamic monitoring, and non-invasive inspection method. Regarding how the blood gas monitoring instrument specifically measures the transcutaneous carbon dioxide partial pressure, you can refer to the existing technology for understanding, and will not go into details here. In this embodiment, the blood gas monitoring instrument can be used to monitor the changes in the blood gas monitoring data of the neonatal patient, and the blood gas monitoring data of the neonatal patient, such as the transcutaneous carbon dioxide partial pressure, can be obtained by the blood gas monitoring instrument.

[0042] Step S102: Input the blood gas monitoring data into the pressure applying component, so that the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, thereby stably maintaining the cerebral blood flow of the neonatal patient within a preset range.

[0043] It should be noted that transcutaneous carbon dioxide partial pressure (TPCO2) typically reflects alveolar ventilation, with a normal range of 35-45 mmHg. An elevated TPCO2 partial pressure suggests possible respiratory acidosis, while a decreased TPCO2 partial pressure may indicate respiratory alkalosis. The inventors have discovered that cerebral blood flow regulation can be dependent on changes in arterial blood gas monitoring data (such as TPCO2 partial pressure). Changes in TPCO2 partial pressure significantly affect cerebral vasomotion: an increase dilates cerebral vessels and increases cerebral blood flow, while a decrease constricts them and reduces blood flow. Therefore, TPCO2 partial pressure monitoring data can reflect changes in cerebral blood flow without the need for complex equipment and procedures for monitoring cerebral blood flow. Blood is supplied to the brain via the bilateral internal carotid arteries and vertebral arteries, with the internal carotid arteries supplying the majority of total cerebral blood flow. The carotid sinus is located at the origin of the internal carotid artery. This region is known as the carotid sinus because of its slightly thinner vessel walls and slightly dilated lumen. Baroreceptors, or carotid baroreceptors, are located deep within the adventitia of the sinus wall, while chemoreceptors, or carotid chemoreceptors, are located on the ventral surface of the sinus cavity. The nerves in the carotid sinus come from the sensory nerve endings of the glossopharyngeal nerve and are pressure receptors that can transmit blood pressure impulses to the vasomotor center of the medulla oblongata in the brain to regulate blood pressure.

[0044] Currently, the carotid sinus pressure receptors regulate blood pressure based on the body's own internal autoregulation of the relevant nervous system. Furthermore, there is no widely used clinical device or technology that can directly control cerebral blood flow in real time through blood gas monitoring data. For example, even if carotid sinus pressure intervention can regulate cerebral blood flow in principle, it does not form an external closed-loop feedback control with the blood gas monitoring data. For example, if the relationship between the blood gas monitoring data and the intensity of the carotid sinus intervention pressure is not established, the accuracy of the cerebral blood flow regulation results is low, resulting in a high incidence of intracranial hemorrhage in newborns. In this embodiment, cerebral blood flow can be indirectly obtained through transcutaneous carbon dioxide partial pressure monitoring data. Then, based on the transcutaneous carbon dioxide partial pressure monitoring data, the pressure applying component 30 determines the corresponding external pressure applied to the carotid sinus according to the transcutaneous carbon dioxide partial pressure, so as to apply a corresponding amount of external stimulation pressure to the carotid sinus of the newborn patient. That is, combined with blood gas monitoring data such as transcutaneous carbon dioxide partial pressure (which can indicate the need for cerebral vascular compensation), it helps optimize the relatively accurate intervention pressure intensity of the carotid sinus, thereby causing corresponding changes in the operating state of the relevant nervous system within the human body through appropriate external physical stimulation of the carotid sinus to regulate cerebral blood flow. This can indirectly and relatively accurately achieve a stable distribution of cerebral blood flow in neonatal patients, thereby reducing the incidence of intracranial hemorrhage in neonates, and then improving the quality of life of neonatal patients and maximizing the life safety of children.

[0045] Based on the above embodiment, in an exemplary embodiment, the pressure-applying component 30 may include a curved neck support made of elastic material, an airbag mounted on the neck support, an air pump connected to the airbag via a tube, and a controller, such as a microprocessor or microcontroller (not shown), for controlling the operation of the air pump. The neck support is worn on the neck of the neonatal patient so that the surface of the airbag at least partially contacts the carotid sinus. The controller controls the operation of the air pump based on blood gas monitoring data, such as transcutaneous carbon dioxide partial pressure, to inflate the airbag and apply a preset pressure to the carotid sinus. The controller may be connected to the electronic device, such as a computer, to receive blood gas monitoring data transmitted by the electronic device and, based on the blood gas monitoring data, such as transcutaneous carbon dioxide partial pressure, to control the operating time of the air pump to inflate the airbag and apply a preset pressure to the carotid sinus. The pressure can be indirectly determined by the operating time of the air pump and airbag parameters, such as size and shape. In this way, an elastic neck support can be set for newborns to avoid damage to the neck skin caused by metal materials. At the same time, the intervention pressure intensity on the carotid sinus can be determined relatively accurately, so that the external appropriate physical stimulation of the carotid sinus causes the operating state of the relevant nervous system in the human body to change accordingly to regulate cerebral blood flow. In this way, a stable distribution of cerebral blood flow in neonatal patients can be achieved relatively accurately, thereby reducing the incidence of intracranial hemorrhage in newborns.

[0046] In other embodiments, the pressure-applying component may be a non-pneumatic component, for example, comprising a fixed portion, a motion conversion portion, and a force-applying portion. The fixed portion is fixed to the side of the neck, and a motor and controller are provided on the fixed portion. The motion conversion portion (e.g., a screw drive mechanism) converts the motor's rotational motion into linear motion. The force-applying portion is connected to the motion conversion portion and applies pressure by moving away from or toward the carotid sinus based on the linear motion. The specific structure of the pressure-applying component is not limited in this embodiment.

[0047] Based on any of the above embodiments, there is a corresponding quantitative relationship between blood gas monitoring data such as transcutaneous carbon dioxide partial pressure and the preset pressure applied by the pressure applying component, which is specifically described below with examples.

[0048] In one embodiment, reference Figure 3 As shown in , the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, including the following steps S201:

[0049] Step S201: When it is determined that the blood gas monitoring data is greater than a first parameter threshold, the pressure applying component generates a first control signal; wherein the first control signal is used to cause the pressure applying component to apply a first preset pressure of external stimulation to the carotid sinus to reduce the carotid artery pressure, thereby reducing the cerebral blood flow of the neonatal patient.

[0050] In one embodiment, the first parameter threshold is blood gas monitoring data, namely, transcutaneous carbon dioxide partial pressure, with a value of 46 to 60 mmHg, for example, 50 to 60 mmHg. The specific value setting of this parameter allows the solution of this embodiment to more accurately monitor changes in cerebral blood flow and thus accurately regulate cerebral blood flow. Improper value setting can affect the effectiveness of subsequent cerebral blood flow regulation. For example, neural regulation requires a certain amount of time, and parameter setting can affect the regulation delay, such as a large or small delay, resulting in poor final regulation effect. The first control signal can be a pulse control signal. For example, when the transcutaneous carbon dioxide partial pressure P1 is monitored to be greater than 60 mmHg, i.e., when cerebral blood flow is high, indicating a high risk of intracranial hemorrhage, a first preset pressure F1 is applied to the carotid sinus to reduce carotid artery pressure. This external stimulation of the carotid sinus causes the operating state of the relevant nervous system within the human body to change accordingly, thereby regulating, such as reducing cerebral blood flow. This can relatively accurately achieve a stable distribution of cerebral blood flow in neonatal patients, thereby reducing the incidence of intracranial hemorrhage in neonates.

[0051] Based on any one of the above embodiments, in another embodiment, continue to refer to Figure 3 As shown in , the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, including the following steps S202:

[0052] Step S202: When it is determined that the blood gas monitoring data is less than a second parameter threshold, the pressure applying component generates a second control signal; wherein the second control signal is used to cause the pressure applying component to apply a second preset pressure of external stimulation to the carotid sinus to increase the carotid pressure, thereby increasing the cerebral blood flow of the neonatal patient.

[0053] Exemplarily, the second parameter threshold is the blood gas monitoring data, i.e., the transcutaneous carbon dioxide partial pressure, which is 35 mmHg. The second control signal can be a pulse control signal. For example, when the transcutaneous carbon dioxide partial pressure P1 is monitored to be less than 35 mmHg, that is, the cerebral blood flow is small at this time, indicating that the risk of intracranial hemorrhage is small, but cerebral ischemia may occur, causing other dangers. Therefore, a second preset pressure F2 (F2>F1) of external stimulation is applied to the carotid sinus to increase the carotid artery pressure, that is, by externally stimulating the carotid sinus, the operating state of the relevant nervous system in the human body itself changes accordingly to adjust, such as increasing cerebral blood flow. In this way, a stable distribution of cerebral blood flow in neonatal patients can be achieved relatively accurately, thereby preventing cerebral ischemia in neonates and improving the life safety of the patients.

[0054] For neonates with complex conditions (such as those with other diseases or weak constitutions), a more precise solution is required to stabilize cerebral blood flow. In another embodiment, a parallel solution for the corresponding quantitative relationship is as follows: the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonate based on the blood gas monitoring data, which may specifically include the following steps:

[0055] The blood gas monitoring data is input into a target model to obtain pressure data; wherein the target model is pre-trained using a deep learning model based on sample blood gas monitoring data and corresponding sample pressure data; the sample blood gas monitoring data includes historical blood gas monitoring data of the neonatal patient and / or blood gas monitoring data of other neonatal patients that meet preset conditions. The pressure applying component generates a third control signal based on the pressure data, and applies a third preset pressure of external stimulation to the carotid sinus based on the third control signal.

[0056] Illustratively, in one embodiment, the blood gas monitoring data of other neonatal patients that meet the preset conditions include: blood gas monitoring data of other neonatal patients who have the same gender as the neonatal patient and whose gestational age and weight meet the preset conditions (such as gestational age is less than the preset gestational age, and weight is less than the preset weight). The preset gestational age and preset weight can be set as needed. The deep learning model can be a convolutional neural network model, but is not limited to this. In this embodiment, a deep learning model such as a convolutional neural network model can be trained through historical sample blood gas monitoring data and corresponding sample pressure data during the treatment of neonatal patients and similar patients. When the model parameters meet the preset conditions, the training is terminated to obtain a target model, which can be based on the input of the current blood gas monitoring data of the neonatal patient into the target model to accurately predict the corresponding pressure data, that is, the size data corresponding to the preset pressure. In this way, using the current AI technology, relatively more accurate corresponding pressure data can be obtained based on the blood gas monitoring data, and then a third preset pressure F3 for applying external stimulation to the carotid sinus can be obtained to lower or increase the carotid pressure. That is, by setting an appropriate pressure to externally stimulate the carotid sinus, the operating state of the relevant nervous system in the human body itself is caused to change accordingly to adjust, such as increase or decrease, the cerebral blood flow. In this way, a stable distribution of cerebral blood flow in neonatal patients can be achieved relatively accurately, thereby reducing the incidence of intracranial hemorrhage in neonates.

[0057] It should be noted that although the steps of the method disclosed herein are depicted in a particular order in the accompanying drawings, this does not require or imply that the steps must be performed in that particular order, or that all steps must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into a single step, and / or a single step may be decomposed into multiple steps. Furthermore, it is readily understood that these steps may be executed synchronously or asynchronously, for example, in multiple modules / processes / threads.

[0058] like Figure 4 As shown, the embodiment of the present disclosure provides a neonatal cerebral blood flow stabilization system, which can be operated by an electronic device 20 and specifically may include:

[0059] An acquisition module 401 is used to acquire blood gas monitoring data of a neonatal patient;

[0060] The control module 402 is used to input the blood gas monitoring data into the pressure applying component 30, so that the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, thereby stably maintaining the cerebral blood flow of the neonatal patient within a preset range.

[0061] In one embodiment, the pressure-applying component includes an arc-shaped neck support, an airbag provided on the neck support, an air pump connected to the airbag via a pipeline, and a controller for controlling the operation of the air pump; wherein, the neck support is worn on the neck of the neonatal patient and causes the surface of the airbag to at least partially contact the carotid sinus; and the controller controls the operation of the air pump based on the blood gas monitoring data to inflate the airbag to apply a preset pressure to the carotid sinus.

[0062] In one embodiment, the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, including:

[0063] When it is determined that the blood gas monitoring data is greater than a first parameter threshold, the pressure applying component generates a first control signal; wherein, the first control signal is used to cause the pressure applying component to apply a first preset pressure of external stimulation to the carotid sinus to reduce the carotid artery pressure, thereby reducing the cerebral blood flow of the neonatal patient.

[0064] In one embodiment, the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, including:

[0065] When it is determined that the blood gas monitoring data is less than a second parameter threshold, the pressure applying component generates a second control signal; wherein, the second control signal is used to cause the pressure applying component to apply a second preset pressure of external stimulation to the carotid sinus to increase the carotid artery pressure, thereby increasing the cerebral blood flow of the neonatal patient.

[0066] In one embodiment, the blood gas monitoring data includes at least transcutaneous carbon dioxide partial pressure.

[0067] In one embodiment, the first parameter threshold value is 46-60 mmHg, and the second parameter threshold value is 35 mmHg.

[0068] In one embodiment, the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, including:

[0069] Inputting the blood gas monitoring data into a target model to obtain pressure data; wherein the target model is obtained by pre-training a deep learning model based on sample blood gas monitoring data and corresponding sample pressure data; the sample blood gas monitoring data includes historical blood gas monitoring data of the neonatal patient and / or blood gas monitoring data of other neonatal patients that meet preset conditions;

[0070] The pressure applying component generates a third control signal based on the pressure data, and applies a third preset pressure of external stimulation to the carotid sinus based on the third control signal.

[0071] In one embodiment, the blood gas monitoring data of other neonatal patients that meet the preset conditions include: blood gas monitoring data of other neonatal patients who have the same gender as the neonatal patient and whose gestational age and weight meet the preset conditions.

[0072] Regarding the system in the above embodiment, the specific manner in which each module performs operations and the corresponding technical effects brought about have been described in detail in the embodiment of the method, and will not be elaborated here.

[0073] It should be noted that although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiment of the present disclosure, the features and functions of two or more modules or units described above can be concretized in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units for concretization. The components displayed as modules or units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. Those of ordinary skill in the art can understand and implement it without paying any creative work.

[0074] The embodiments of the present disclosure further provide a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for stabilizing cerebral blood flow in newborns as described in any one of the above embodiments is implemented.

[0075] Exemplarily, the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0076] The computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, wherein the readable program code is carried. The data signal propagated may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or component. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination thereof.

[0077] The present disclosure also provides an electronic device comprising a processor and a memory, wherein the memory is configured to store a computer program, wherein the processor is configured to execute the method for stabilizing neonatal cerebral blood flow in any of the above embodiments by executing the computer program.

[0078] Refer to the following Figure 5 An electronic device 600 according to this embodiment of the present invention will be described. Figure 5 The electronic device 600 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0079] like Figure 5 As shown, electronic device 600 is implemented as a general-purpose computing device. Components of electronic device 600 may include, but are not limited to, at least one processing unit 610, at least one storage unit 620, a bus 630 connecting various system components (including storage unit 620 and processing unit 610), a display unit 640, and the like.

[0080] The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present invention described in the above method embodiment section of this specification. For example, the processing unit 610 can perform the following steps: Figure 1 The steps of the method shown in .

[0081] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 6201 and / or a cache memory unit 6202 , and may further include a read-only memory unit (ROM) 6203 .

[0082] The storage unit 620 may also include a program / utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including but not limited to: an operating system, one or more application programs, other program modules and program data, each of which or some combination may include an implementation of a network environment.

[0083] Bus 630 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0084] The electronic device 600 can also communicate with one or more external devices 700 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and / or any device that enables the electronic device 600 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication can occur via an input / output (I / O) interface 650. Furthermore, the electronic device 600 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 660. The network adapter 660 can communicate with other modules of the electronic device 600 via the bus 630. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with the electronic device 600, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0085] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, or a network device, etc.) to execute the method steps of the above-mentioned embodiments according to the embodiments of the present disclosure.

[0086] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0087] The foregoing description is intended only to provide specific embodiments of the present disclosure, intended to enable those skilled in the art to understand and implement the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the embodiments described herein, but rather to be construed in the broadest manner consistent with the principles and novel features disclosed herein.

Claims

1. A method for stabilizing cerebral blood flow in newborns, characterized in that: include: Obtain blood gas monitoring data for neonatal patients; The blood gas monitoring data is input into the pressure applying component so that the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, thereby stably maintaining the cerebral blood flow of the neonatal patient within a preset range.

2. The method according to claim 1, characterized in that The pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, comprising: When it is determined that the blood gas monitoring data is greater than a first parameter threshold, the pressure applying component generates a first control signal; wherein, the first control signal is used to cause the pressure applying component to apply a first preset pressure of external stimulation to the carotid sinus to reduce the carotid artery pressure, thereby reducing the cerebral blood flow of the neonatal patient.

3. The method according to claim 2, characterized in that The pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, comprising: When it is determined that the blood gas monitoring data is less than a second parameter threshold, the pressure applying component generates a second control signal; wherein, the second control signal is used to cause the pressure applying component to apply a second preset pressure of external stimulation to the carotid sinus to increase the carotid artery pressure, thereby increasing the cerebral blood flow of the neonatal patient.

4. The method according to claim 3, characterized in that The blood gas monitoring data includes at least transcutaneous carbon dioxide partial pressure.

5. The method according to claim 4, characterized in that The first parameter threshold value is 46-60 mmHg, and the second parameter threshold value is 35 mmHg.

6. The method according to claim 1, characterized in that The pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, comprising: Inputting the blood gas monitoring data into a target model to obtain pressure data; wherein the target model is obtained by pre-training a deep learning model based on sample blood gas monitoring data and corresponding sample pressure data; the sample blood gas monitoring data includes historical blood gas monitoring data of the neonatal patient and / or blood gas monitoring data of other neonatal patients that meet preset conditions; The pressure applying component generates a third control signal based on the pressure data, and applies a third preset pressure of external stimulation to the carotid sinus based on the third control signal.

7. The method according to claim 6, characterized in that The blood gas monitoring data of other neonatal patients that meet the preset conditions include: blood gas monitoring data of other neonatal patients who have the same gender as the neonatal patient and whose gestational age and weight meet the preset conditions.

8. A neonatal cerebral blood flow stabilization system, characterized in that: include: An acquisition module is used to obtain blood gas monitoring data of neonatal patients; The control module is used to input the blood gas monitoring data into the pressure applying component so that the pressure applying component applies a corresponding preset pressure to the carotid sinus of the neonatal patient based on the blood gas monitoring data, thereby stably maintaining the cerebral blood flow of the neonatal patient within a preset range.

9. 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 for stabilizing cerebral blood flow in neonates according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: processor; memory for storing computer programs; Wherein, the processor is configured to implement the neonatal cerebral blood flow stabilization method according to any one of claims 1 to 7 by executing the computer program.

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