Instrument, method and system for precise puncture of spine or crista iliaca

Abstract

The embodiment of the invention provides an instrument, method and system for precise puncture of the spine or the crista iliaca, the instrument comprises a puncture module, a detection module and a control module, and the puncture module is used for puncturing a patient to be punctured. The method is applied to the control module of the instrument provided by any embodiment of the invention. The method comprises the following steps: acquiring baseline data of a to-be-punctured patient; generating a micro-current signal, and transmitting the micro-current signal to a control module of the instrument; acquiring a first current value corresponding to the puncture module sent by a detection module of the instrument; when the puncture module is in contact with bone marrow of the spine or iliac crest of the patient, a second current value corresponding to the puncture module and sent by a detection module of the instrument is obtained; determining the fibrosis degree corresponding to the bone marrow according to the first current value and the second current value; and generating puncture suggestion information according to the fibrosis degree and the baseline data, and determining whether to continue puncturing the patient according to the puncture suggestion information.

Description

Technical Field

[0001] The present application relates to the field of medical equipment technology, and in particular to an instrument, method and system for precise puncture of the spine or iliac crest. Background Art

[0002] Routine bone marrow cell morphology examination is a classic method for diagnosing hematological diseases. However, in clinical work, patients with primary myelofibrosis and bone marrow metastatic cancer are prone to "dry aspiration" (i.e., the inability to extract bone marrow fluid). This phenomenon is not only common in primary myelofibrosis (IMF), bone marrow metastatic cancer, and chronic myeloid leukemia (CML), but also has a low single-digit proportion in patients with aplastic anemia (AA). It can also be seen in chronic lymphocytic leukemia (CLL), multiple myeloma (MM), myelodysplastic syndrome (MDS), non-Hodgkin's lymphoma (NHL), and acute leukemia (AL). These patients are often accompanied by a significant increase in reticulin fibers, and multiple punctures of the bone marrow at multiple sites often show a "dry draw" phenomenon, which brings additional diagnostic and treatment burdens to doctors, nurses and patients.

[0003] Therefore, it is urgent to design a technical solution to solve at least one of the above technical problems. Summary of the invention

[0004] The embodiments of the present application provide an apparatus, method and system for precise puncture of the spine or iliac crest, which can solve the problem that the existing puncture of multiple parts of the bone marrow and multiple punctures often present the phenomenon of "dry extraction", which brings additional diagnosis and treatment burden to doctors, nurses and patients. The provided apparatus can detect the change of the current value in real time during the puncture process, accurately determine whether it is in contact with the bone marrow of the spine or iliac crest, and significantly improve the accuracy of the puncture.

[0005] In a first aspect, an embodiment of the present application provides an instrument for precise puncture of the spine or iliac crest, comprising:

[0006] A puncture module, which punctures the spine or iliac crest of the patient to be punctured;

[0007] A detection module, the detection module is electrically connected to the puncture module;

[0008] The control module is electrically connected to the puncture module and the detection module. The control module generates a microcurrent signal and transmits it to the puncture module. The detection module sends a first current value corresponding to the puncture module to the control module. When the puncture module contacts the bone marrow of the patient's spine or iliac crest, the detection module sends a second current value corresponding to the puncture module to the control module. The control module determines the degree of fibrosis corresponding to the bone marrow based on the first current value and the second current value, and generates puncture recommendation information based on the degree of fibrosis and the patient's baseline data, so as to confirm whether to continue puncturing the patient based on the puncture recommendation information.

[0009] In a second aspect, the present application provides a method for precise puncture of the spine or iliac crest, the method being applied to a control module of an apparatus provided in any embodiment of the present application; the method comprising:

[0010] Obtain baseline data for patients to be punctured;

[0011] Generate a micro-current signal and transmit the micro-current signal to a control module of the device;

[0012] Acquire a first current value corresponding to the puncture module sent by the detection module of the device;

[0013] When the puncture module contacts the bone marrow of the patient's spine or iliac crest, obtaining a second current value corresponding to the puncture module sent by the detection module of the instrument;

[0014] determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value;

[0015] Puncture recommendation information is generated according to the fibrosis degree and the baseline data, so as to confirm whether to continue puncturing the patient according to the puncture recommendation information.

[0016] In some embodiments, determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value includes: calculating the resistance value corresponding to the bone marrow according to the first current value and the second current value; obtaining the patient's age; calculating the degree of fibrosis corresponding to the patient's age and the resistance value according to a preset fibrosis degree calculation formula; the fibrosis degree calculation formula includes:

[0017]

[0018] Among them, γ is the degree of fibrosis, R is the resistance value, Y is the patient's age, ρ1 is the first weight factor, ρ2 is the second weight factor, ρ3 is the third weight factor, ρ4 is the fourth weight factor, k is the balance factor, δ is the offset factor, and Δ is the attenuation factor.

[0019] Exemplarily, the first weight factor is used to control the effect of the cubic term of the resistance value on the degree of fibrosis, the second weight factor is used to adjust the effect of the product of the patient's age and the sine function of the resistance value on the degree of fibrosis, the third weight factor is used to adjust the effect of the logarithmic term on the degree of fibrosis, and the fourth weight factor is used to control the effect of the exponential function of the product of the resistance value and the age on the degree of fibrosis; before determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value, it also includes: obtaining historical puncture information; the historical puncture information includes historical resistance values, historical patient ages and historical degrees of fibrosis; calculating the cubic term corresponding to the historical resistance value, the product of the historical patient age and the sine function of the historical resistance value, and constructing a historical fractional term based on the cubic term, the product, the historical patient age and the balance factor; based on the historical resistance value, the offset factor, the historical patient age and the smoothing factor Generate a historical logarithmic term; generate a historical index term according to the historical resistance value, the historical patient age and the attenuation factor; input the historical score term, the historical logarithmic term and the historical index term into the factor generation model to be trained, the factor generation model outputs the first prediction factor and the second prediction factor corresponding to the historical score term, the third prediction factor corresponding to the historical logarithmic term and the fourth prediction factor corresponding to the historical index term; calculate the predicted degree of fibrosis according to the first prediction factor, the second prediction factor, the third prediction factor, the fourth prediction factor, the historical score term, the historical logarithmic term and the historical index term; complete the training of the factor generation model according to the historical degree of fibrosis and the predicted degree of fibrosis, so as to input the historical score term, the historical logarithmic term and the historical index term into the trained factor generation model, the factor generation model outputs the first weight factor, the second weight factor, the third weight factor and the fourth weight factor.

[0020] In some embodiments, the baseline data includes at least the patient's health information, disease information and physiological indicator information before puncture; generating puncture recommendation information based on the degree of fibrosis and the baseline data, including: constructing a physiological model of the patient based on the degree of fibrosis, health information, disease information and physiological indicator information; simulating the puncture of the patient's spine or iliac crest at a preset depth in the physiological model to obtain result information corresponding to the simulation; generating puncture recommendation information based on the result information.

[0021] Exemplarily, the result information includes physiological indicator change information; generating puncture recommendation information based on the result information includes: confirming the target indicator information corresponding to the patient after puncture based on the physiological indicator change information and the physiological indicator information; obtaining the number of punctures completed and the patient's age; generating puncture recommendation information based on the number of punctures completed, the patient's age and the target indicator information.

[0022] It should be noted that, in some embodiments, the puncture suggestion information includes first suggestion information and second suggestion information, the first suggestion information is used to confirm that the puncture of the patient can continue, and the second suggestion information is used to confirm that the puncture of the patient needs to be stopped; the puncture suggestion information is generated according to the number of punctures, the patient's age and the target indicator information, including: obtaining the indicator type of each target indicator value in the target indicator information and the standard indicator value corresponding to each indicator type; calculating the puncture risk coefficient corresponding to the patient according to the number of punctures, the patient's age and the target indicator information; if the puncture risk coefficient is less than or equal to the preset risk coefficient, generating the first suggestion information; or, if the puncture risk coefficient is greater than the preset risk coefficient, generating the second suggestion information; wherein, the calculation formula of the puncture risk coefficient includes:

[0023]

[0024] θ is the puncture risk coefficient, n is the number of target index values, is the target indicator value, μ is the standard indicator value corresponding to the target indicator value, Y is the patient's age, ω is the number of punctures, τ1 is the first risk weight, τ2 is the second risk weight, and τ3 is the second risk weight.

[0025] In some embodiments, the instrument further includes an early warning module, which is communicatively connected to the control module; after generating puncture suggestion information according to the degree of fibrosis and baseline data to confirm whether to continue puncturing the patient according to the puncture suggestion information, it also includes: if it is confirmed to continue puncturing the patient according to the puncture suggestion information, generating early warning information and sending it to the early warning module, so that the early warning module alerts the user of the instrument to suspend puncturing the patient.

[0026] In some embodiments, generating a microcurrent signal includes: obtaining a puncture site on a patient to be punctured; obtaining biocurrent effect information corresponding to the puncture site; determining a target current value based on baseline data, the patient's age and the biocurrent effect information; the target current value is a current value that the patient can withstand and that produces a biocurrent effect at the puncture site; and generating a microcurrent signal based on the target current value.

[0027] In a third aspect, an embodiment of the present application provides a system for precise puncture of the spine or iliac crest, characterized in that a control module applied to an instrument provided in any embodiment of the present application comprises:

[0028] A data acquisition unit, used for acquiring baseline data of the patient to be punctured;

[0029] A current generating unit, used for generating a micro-current signal and transmitting the micro-current signal to a control module of the device;

[0030] A detection acquisition unit, used for acquiring a first current value corresponding to the puncture module sent by the detection module of the device;

[0031] a puncture acquisition unit, configured to acquire a second current value corresponding to the puncture module and sent by the detection module of the instrument when the puncture module contacts the bone marrow of the spine or iliac crest of the patient;

[0032] a degree acquisition unit, configured to determine a degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value;

[0033] The suggestion generating unit is used to generate puncture suggestion information according to the fibrosis degree and the baseline data, so as to confirm whether to continue puncturing the patient according to the puncture suggestion information.

[0034] In a fourth aspect, the present application further provides a control module, comprising a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the method for precise puncture of the spine or iliac crest as described in the first aspect is implemented.

[0035] In a fifth aspect, the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for precise puncture of the spine or iliac crest as described in the first aspect.

[0036] The embodiments of the present application provide an instrument, method and system for precise puncture of the spine or iliac crest. The instrument includes a puncture module, a detection module and a control module. The puncture module punctures the spine or iliac crest of the patient to be punctured. The detection module is electrically connected to the puncture module, and the control module is electrically connected to the puncture module and the detection module. The method is applied to the control module of the instrument provided in any embodiment of the present application; the method obtains the baseline data of the patient to be punctured; generates a microcurrent signal, and transmits the microcurrent signal to the control module of the instrument; obtains the first current value corresponding to the puncture module sent by the detection module of the instrument; when the puncture module contacts the bone marrow of the patient's spine or iliac crest, obtains the second current value corresponding to the puncture module sent by the detection module of the instrument; determines the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value; generates puncture suggestion information according to the degree of fibrosis and the baseline data, so as to confirm whether to continue puncturing the patient according to the puncture suggestion information. Furthermore, the provided method and instrument have the following beneficial effects:

[0037] 1. Improve puncture accuracy: Through the synergistic effect of the detection module and the control module, the device can detect the change of current value in real time during the puncture process, accurately determine whether it is in contact with the bone marrow of the spine or iliac crest, and significantly improve the accuracy of puncture.

[0038] 2. Personalized puncture recommendation: The control module generates specific puncture recommendation information based on the detected current value and the patient's baseline data, allowing the doctor to decide whether to continue the puncture based on the patient's specific situation, thereby achieving personalized medical treatment.

[0039] 3. Reduce the risk of accidental puncture: By analyzing the degree of myelofibrosis, accurate puncture recommendation information is provided, which helps to reduce the risk of accidental puncture and protect patient safety.

[0040] 4. Real-time feedback mechanism: The device has real-time feedback function, which can dynamically adjust and optimize the operation during the puncture process, improving the safety and efficiency of the entire surgical process.

[0041] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a schematic block diagram of a usage scenario of the device shown in the embodiment of the present application;

[0043] Figure 2 This is a schematic block diagram of the structure of the device shown in the embodiment of the present application;

[0044] Figure 3 A schematic diagram of a method flow chart of an embodiment of the present application;

[0045] Figure 4 A schematic diagram of the structure of the system shown in the embodiment of the present application;

[0046] Figure 5 This is a schematic diagram of the structure of a control module shown in an embodiment of the present application.

[0047] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0048] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, systems, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0049] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0050] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0051] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0052] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0053] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0054] The technical solution of the embodiment of the present application is introduced below.

[0055] Routine bone marrow cell morphology examination is a classic method for diagnosing hematological diseases. However, in clinical practice, patients with primary myelofibrosis and bone marrow metastatic cancer are prone to "dry aspiration" (i.e., failure to extract bone marrow fluid). This phenomenon is not only common in primary myelofibrosis (IMF), bone marrow metastatic cancer, and chronic myeloid leukemia (CML), but also has a low single-digit proportion in patients with aplastic anemia (AA), and is also common in patients with chronic lymphocytic leukemia (CLL), multiple myeloma (MM), myelodysplastic syndrome (MDS), and non-Hodgkin's lymphoma (NHL). These patients are often accompanied by a significant increase in reticulin fibers, and multiple bone marrow punctures often show a "dry draw" phenomenon, which brings additional diagnosis and treatment burden to doctors, nurses, and patients.

[0056] Therefore, it is urgent to design a technical solution to solve at least one of the above technical problems.

[0057] Please refer to Figure 1 and Figure 2 , Figure 1 This is a schematic block diagram of a usage scenario of the device shown in an embodiment of the present application. Figure 2 This is a schematic block diagram of the structure of a device 10 provided in an embodiment of the present application. Figure 1 As shown, the provided instrument 10 is used to puncture the spine or iliac crest of a patient to be punctured. Figure 2As shown, the provided instrument 10 includes a puncture module 11, a detection module 12 and a control module 13. The puncture module 11 punctures the spine or iliac crest of the patient to be punctured, the detection module 12 is electrically connected to the puncture module 11, and the control module 13 is electrically connected to the puncture module 11 and the detection module 12. The method is applied to the control module 13 of the instrument provided in any embodiment of the present application; the method obtains the baseline data of the patient to be punctured; generates a microcurrent signal, and transmits the microcurrent signal to the control module 13 of the instrument; obtains the first current value corresponding to the puncture module 11 sent by the detection module 12 of the instrument; when the puncture module 11 contacts the bone marrow of the spine or iliac crest of the patient, obtains the second current value corresponding to the puncture module 11 sent by the detection module 12 of the instrument; determines the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value; generates puncture suggestion information according to the degree of fibrosis and the baseline data, so as to confirm whether to continue puncturing the patient according to the puncture suggestion information.

[0058] Specifically, the puncture module 11 provided in the present application is designed to accurately puncture the spine or iliac crest of the patient to be punctured. In order to ensure the accuracy of the puncture process, the detection module 12 is electrically connected to the puncture module 11 for real-time monitoring of current changes during the puncture process. The control module 13 simultaneously controls and coordinates the operation of the puncture module 11 and the detection module 12 by means of electrical connection. During the operation, the control module 13 first obtains the baseline data of the patient to be punctured, and the baseline data may include key information such as the patient's medical history and bone condition. Then, the control module 13 generates and transmits a microcurrent signal to the puncture module 11 so as to perform current detection during the puncture process. The detection module 12 records the first current value corresponding to the puncture module 11 during this process. When the puncture module 11 contacts the bone marrow of the patient's spine or iliac crest, the detection module 12 sends a second current value to the control module 13.

[0059] The control module 13 analyzes and determines the degree of fibrosis of the bone marrow according to the changes in the first current value and the second current value. The analysis results of the degree of fibrosis combined with the patient's baseline data will be further used to generate puncture recommendation information. This information can help medical personnel determine whether to continue puncturing, thereby reducing unnecessary risks and improving the success rate and safety of the operation. Furthermore, the provided instrument 10 achieves precise control and personalized recommendations for the puncture process through modular design and current detection technology, providing a safer and more effective tool for clinical operations.

[0060] In some embodiments, the control module 13 is a microcontroller unit (MCU). Then, any embodiment corresponding to the method provided in the present application can be implemented by the MCU.

[0061] In some embodiments, the provided device 10 may also be used in the iliac crest and other areas where bioelectrical effects are not significant.

[0062] In some embodiments, the puncture module 11 is composed of a needle driven by a micro motor, and the needle can control its depth and angle within millimeter-level accuracy. This high-precision design ensures that the puncture needle can accurately reach the target site while avoiding damage to surrounding tissues. The puncture module 11 is equipped with a feedback mechanism that ensures that the needle can move stably within the predetermined path by monitoring the position and pressure data of the needle in real time. The module also contains a microcurrent sensor that can detect weak electrical signals when the needle contacts the target tissue, thereby providing support for subsequent detection and data collection. The provided puncture module 11 is particularly suitable for medical operations that require high-precision positioning, such as intervertebral disc injections, spinal punctures, or bone marrow biopsies. Its design can minimize errors and provide real-time feedback on the puncture status through a microcurrent sensor, making the operation safer and more reliable.

[0063] In some embodiments, the detection module 12 includes a highly sensitive current sensor that can accurately capture the current changes at different time points during the puncture process. When the needle contacts different tissues, the detection module 12 collects and records the first current value and the second current value, which will serve as the basis for subsequent fibrosis degree assessment. The detection module 12 has a built-in data processing unit that can analyze the collected current data in real time and convert it into a digital signal that is easy for the control module 13 to understand. The filters and amplifiers in the module ensure the accuracy of the signal and maintain stable data output even in a noisy environment. The detection module 12 can also be used in conjunction with a variety of sensors, such as temperature sensors, pressure sensors, etc., to provide more comprehensive tissue status information. These additional data help the control module 13 to more accurately judge the degree of fibrosis and optimize the safety of the puncture operation.

[0064] In some embodiments, the control module 13 has a built-in microcurrent generator that can generate an accurate microcurrent signal based on the patient's baseline data and target current value. The signal is transmitted to the puncture module 11 via a cable to ensure that the current applied during the puncture is stable and meets safety standards. The processing unit of the control module 13 is equipped with an advanced algorithm that can process the first current value and the second current value from the detection module 12. Through these data, the control module 13 can evaluate the degree of fibrosis in the patient's bone marrow. The algorithm also takes into account the patient's baseline data, such as age, medical history, etc., to generate personalized puncture recommendation information. The control module 13 is equipped with a user interface, through which doctors or operators can view real-time data, puncture recommendations and operation prompts. The interface also allows the user to manually adjust the intensity of the microcurrent signal and pause or adjust the puncture operation when necessary. The control module 13 is equipped with multiple safety mechanisms, such as overcurrent protection, real-time monitoring and automatic warning functions. If an abnormal signal is detected or the puncture risk is too high, the system will automatically issue a warning and suspend the operation to ensure the safety of the patient.

[0065] Please refer to Figure 3 , Figure 3 The flowchart of a method for precise puncture of the spine or iliac crest provided in an embodiment of the present application is shown in FIG. The method for precise puncture of the spine or iliac crest provided in an embodiment of the present application can be applied to a control module of an apparatus provided in any embodiment of the present application, and the control module can be an MCU. Figure 3 As shown, the method for accurate puncture of the spine or iliac crest of this embodiment includes steps S101 to S106, which are described in detail as follows:

[0066] Step S101, obtaining baseline data of the patient to be punctured.

[0067] Specifically, before the puncture operation, the patient's baseline data is first obtained. This data usually includes the patient's age, gender, medical history, bone density, and other important health information that may affect the accuracy of the puncture. By analyzing these data, a reference benchmark can be provided for the subsequent puncture process to ensure the personalization and accuracy of the puncture operation.

[0068] Step S102, generating a microcurrent signal, and transmitting the microcurrent signal to a control module of the device.

[0069] Specifically, after obtaining the patient's baseline data, the control module generates a microcurrent signal. This signal is transmitted to the instrument's puncture module through a circuit, with the goal of using microcurrent to detect the change in resistance of the contacted tissue in real time during the puncture process. The use of this microcurrent signal can provide high-precision bioelectric characteristic measurements without damaging the tissue.

[0070] Step S103, obtaining a first current value corresponding to the puncture module sent by the detection module of the device.

[0071] Specifically, when the puncture module starts puncturing, the detection module will monitor and record the current value at this time in real time, which is called the first current value. This value reflects the resistance of the puncture module when it contacts the soft tissue of the patient's spine or iliac crest, providing initial data support for subsequent analysis.

[0072] Step S104, when the puncture module contacts the bone marrow of the patient's spine or iliac crest, a second current value corresponding to the puncture module sent by the detection module of the instrument is obtained.

[0073] Specifically, as the puncture process proceeds, when the puncture module reaches and contacts the bone marrow, the detection module will record the current value again, which is called the second current value. Since the resistance characteristics of the bone marrow are different from those of soft tissue, the change in this current value can clearly indicate that the puncture module has reached the target area.

[0074] Step S105, determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value.

[0075] Specifically, the control module determines the change in resistance of the bone marrow by comparing the first current value and the second current value, and analyzes the degree of fibrosis of the bone marrow in combination with the algorithm. The determination of the degree of fibrosis is critical for determining the health of the bone marrow and the degree of suitability for puncture, and can help doctors make more accurate decisions during the operation.

[0076] Step S106: generating puncture suggestion information according to the degree of fibrosis and the baseline data, so as to confirm whether to continue puncturing the patient according to the puncture suggestion information.

[0077] Specifically, finally, the control module combines the analysis results of the degree of fibrosis with the previously acquired baseline data to generate puncture recommendation information. This information includes whether to continue puncture, puncture depth adjustment suggestions, etc., to provide doctors with data-based decision support. In this way, unnecessary puncture operations can be effectively reduced, and the success rate of surgery and patient safety can be improved. Steps S101 to S106 form a complete closed-loop system, which ensures the efficiency and safety of spinal or iliac crest puncture through data collection, analysis, feedback and other links.

[0078] In some embodiments, determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value includes: calculating the resistance value corresponding to the bone marrow according to the first current value and the second current value; obtaining the patient's age; calculating the degree of fibrosis corresponding to the patient's age and the resistance value according to a preset fibrosis degree calculation formula; the fibrosis degree calculation formula includes:

[0079]

[0080] Among them, γ is the degree of fibrosis, R is the resistance value, Y is the patient's age, ρ1 is the first weight factor, ρ2 is the second weight factor, ρ3 is the third weight factor, ρ4 is the fourth weight factor, k is the balance factor, δ is the offset factor, and Δ is the attenuation factor.

[0081] In this embodiment, a method for calculating the degree of bone marrow fibrosis is provided, which is based on the current value obtained from the detection module of the device and the individualized information of the patient (such as age), and calculates the specific degree of fibrosis. This method uses complex mathematical formulas and weighting factors to provide accurate puncture recommendations for different patients.

[0082] Among them, the resistance value corresponding to the bone marrow is obtained by obtaining the first current value (the current value in the soft tissue before puncture) and the second current value (the current value in the bone marrow during puncture) corresponding to the puncture module sent by the detection module during the puncture process. Based on these two current values, the resistance value of the bone marrow can be calculated. Using the pre-set fibrosis degree calculation formula, the degree of fibrosis of the bone marrow is obtained according to the calculated resistance value and the patient's age.

[0083] For the fibrosis degree calculation formula, the first weight factor is used to control the effect of the resistance cube term on the fibrosis degree. The resistance cube term can more sensitively capture the effect of resistance change on the fibrosis degree. The second weight factor is used to adjust the comprehensive effect of the product of the patient's age and the sine function of the resistance value on the fibrosis degree. This term can capture the complex nonlinear relationship that may exist between age and resistance. The third weight factor is used to adjust the effect of the logarithmic term on the fibrosis degree, especially when the resistance value and age are close. The fourth weight factor is used to control the effect of the exponential function of the product of the resistance value and age on the fibrosis degree. This term can capture the complexity of the interaction between resistance and age. The attenuation factor is used to adjust the attenuation speed in the exponential function so that the fibrosis degree is more reasonable in the case of high resistance or high age. The smoothing factor is used to ensure the stability of age in logarithmic calculations to prevent abnormal situations from affecting the calculation results. The offset factor is used to ensure the stability of the resistance value in the formula when calculating the logarithm to avoid calculation problems caused by zero values. The balance factor is used to adjust the weight of the age square term in the formula to ensure the balance and stability of the calculation results.

[0084] Exemplarily, the first weight factor is used to control the effect of the cubic term of the resistance value on the degree of fibrosis, the second weight factor is used to adjust the effect of the product of the patient's age and the sine function of the resistance value on the degree of fibrosis, the third weight factor is used to adjust the effect of the logarithmic term on the degree of fibrosis, and the fourth weight factor is used to control the effect of the exponential function of the product of the resistance value and the age on the degree of fibrosis; before determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value, it also includes: obtaining historical puncture information; the historical puncture information includes historical resistance values, historical patient ages and historical degrees of fibrosis; calculating the cubic term corresponding to the historical resistance value, the product of the historical patient age and the sine function of the historical resistance value, and constructing a historical fractional term based on the cubic term, the product, the historical patient age and the balance factor; based on the historical resistance value, the offset factor, the historical patient age and the smoothing factor Generate a historical logarithmic term; generate a historical index term according to the historical resistance value, the historical patient age and the attenuation factor; input the historical score term, the historical logarithmic term and the historical index term into the factor generation model to be trained, the factor generation model outputs the first prediction factor and the second prediction factor corresponding to the historical score term, the third prediction factor corresponding to the historical logarithmic term and the fourth prediction factor corresponding to the historical index term; calculate the predicted degree of fibrosis according to the first prediction factor, the second prediction factor, the third prediction factor, the fourth prediction factor, the historical score term, the historical logarithmic term and the historical index term; complete the training of the factor generation model according to the historical degree of fibrosis and the predicted degree of fibrosis, so as to input the historical score term, the historical logarithmic term and the historical index term into the trained factor generation model, the factor generation model outputs the first weight factor, the second weight factor, the third weight factor and the fourth weight factor.

[0085] The method provided further optimizes the calculation process of the degree of fibrosis by introducing historical data and factor generation models to dynamically adjust the values ​​of various weight factors to improve the accuracy and personalization of the calculation of the degree of fibrosis. Through the trained factor generation model, based on the input of historical fractional items, historical logarithmic items, and historical exponential items, the model finally outputs the corresponding first, second, third, and fourth weight factors. These weight factors will be applied in the current calculation of the degree of fibrosis to ensure that the calculation results take into account the individual characteristics of the current patient and inherit the effective information in the historical data. This makes the method provided more flexible and adaptable when facing different patients.

[0086] In some embodiments, the baseline data includes at least the patient's health information, disease information and physiological indicator information before puncture; generating puncture recommendation information based on the degree of fibrosis and the baseline data, including: constructing a physiological model of the patient based on the degree of fibrosis, health information, disease information and physiological indicator information; simulating the puncture of the patient's spine or iliac crest at a preset depth in the physiological model to obtain result information corresponding to the simulation; generating puncture recommendation information based on the result information.

[0087] In this embodiment, the acquisition and analysis of baseline data is an important step to ensure the safety and effectiveness of the puncture operation. By integrating the patient's health information, disease information and physiological index information, the provided method can generate a personalized physiological model for each patient, and simulate and optimize the puncture depth based on this model, thereby providing accurate puncture recommendation information.

[0088] In this embodiment, the composition of the baseline data includes health information, disease information and physiological index information. Health information includes the patient's basic health status, such as height, weight, bone density, metabolic status, etc. This information is an important basis for evaluating the patient's physical fitness and tolerance. Disease information involves the patient's past medical history and current disease conditions, especially diseases that may affect the puncture site, such as osteoporosis, spinal lesions, etc. Physiological index information covers the patient's pulse, blood pressure, blood sugar level and other physiological data, which are helpful in evaluating the patient's overall health status and tolerance to surgery.

[0089] The method provided for the construction of the physiological model builds a personalized physiological model based on the acquired fibrosis degree, health information, disease information and physiological index information. The model can accurately reflect the patient's physiological characteristics and the anatomical structure of the puncture site, and become the basis for subsequent simulation and analysis.

[0090] In the physiological model, the provided method simulates the puncture of the patient's spine or iliac crest at a preset depth. The simulation process takes into account all parameters in the physiological model to simulate the situation during real puncture. This includes simulating the interaction of the puncture needle with tissue and bone at different depths, predicting possible resistance, feedback and impact on tissue.

[0091] After the simulation operation is completed, the provided method will generate a series of result information. This information includes the resistance changes that may be encountered during the puncture process, the time it takes for the puncture to reach the bone marrow, the expected current changes, etc. These data are important bases for evaluating the success rate and risks of the puncture operation. According to the simulation result information, the provided method will generate specific puncture recommendation information. This information may include the recommended puncture depth, the recommended operation speed, the possible risk points, and the recommended measures to deal with these risks. These suggestions provide data support and reference for doctors in actual operations, helping them to make more accurate judgments and decisions. Through the above steps, this embodiment ensures the personalization and precision of the puncture operation. The introduction of the physiological model and the application of simulation analysis enable the provided method to predict the key factors in the puncture operation in advance, reduce risks, and improve the success rate and safety of the operation.

[0092] Exemplarily, the result information includes physiological indicator change information; generating puncture recommendation information based on the result information includes: confirming the target indicator information corresponding to the patient after puncture based on the physiological indicator change information and the physiological indicator information; obtaining the number of punctures completed and the patient's age; generating puncture recommendation information based on the number of punctures completed, the patient's age and the target indicator information.

[0093] The provided method further optimizes the puncture recommendations for patients by analyzing the physiological index change information in the puncture simulation results. The provided method takes into account the patient's physiological response and historical puncture records, thereby providing more accurate personalized puncture recommendations for each patient.

[0094] After the puncture depth simulation is completed, the result information generated by the provided method includes not only the physical parameters during the puncture process (such as resistance change, expected current change, etc.), but also the physiological index change information simulated during the puncture process. These physiological index change information may include heart rate, blood pressure, oxygen saturation, etc., which may be affected to varying degrees during the puncture process.

[0095] The provided method compares and analyzes the physiological index change information obtained by simulation with the patient's baseline physiological index information to confirm the target index information that the patient should achieve after puncture. The target index information refers to the physiological state that the patient is expected to maintain after puncture to ensure its safety and comfort.

[0096] To further personalize the puncture recommendations, the provided method also extracts the patient's historical puncture data, especially the number of punctures performed and the patient's age information, which can reflect the patient's tolerance to the puncture procedure and potential physiological change trends.

[0097] The provided method calculates the physiological changes that may occur during the current puncture operation and how to adjust the puncture depth or speed to achieve the optimal effect based on the number of punctures, patient age and target indicator information.

[0098] The provided method may suggest reducing the puncture depth or increasing the puncture speed in certain situations to avoid excessive fluctuations in the patient's physiological parameters. In addition, additional monitoring or preparation of the patient may be recommended to ensure the safety of the procedure.

[0099] Through comprehensive analysis of physiological index change information and historical data, the provided method can provide patients with more accurate and personalized puncture advice information. By considering the patient's age, historical puncture times, and target physiological indicators, the system ensures that the patient's physiological state can be fully paid attention to and optimized in each puncture operation. This not only improves the safety and success rate of the puncture operation, but also improves the patient's comfort and treatment experience.

[0100] It should be noted that, in some embodiments, the puncture suggestion information includes first suggestion information and second suggestion information, the first suggestion information is used to confirm that the puncture of the patient can continue, and the second suggestion information is used to confirm that the puncture of the patient needs to be stopped; the puncture suggestion information is generated according to the number of punctures, the patient's age and the target indicator information, including: obtaining the indicator type of each target indicator value in the target indicator information and the standard indicator value corresponding to each indicator type; calculating the puncture risk coefficient corresponding to the patient according to the number of punctures, the patient's age and the target indicator information; if the puncture risk coefficient is less than or equal to the preset risk coefficient, generating the first suggestion information; or, if the puncture risk coefficient is greater than the preset risk coefficient, generating the second suggestion information; wherein, the calculation formula of the puncture risk coefficient includes:

[0101]

[0102] θ is the puncture risk coefficient, n is the number of target index values, is the target indicator value, μ is the standard indicator value corresponding to the target indicator value, Y is the patient's age, ω is the number of punctures, τ1 is the first risk weight, τ2 is the second risk weight, and τ3 is the second risk weight.

[0103] By calculating the patient's puncture risk coefficient, the provided method can generate clear puncture recommendations based on the patient's individualized information. The recommendations include first recommendation information to continue puncturing and second recommendation information to stop puncturing, thereby ensuring the safety and scientificity of the puncture operation.

[0104] The first suggestion information is used to confirm that the puncture operation on the patient can continue under the current conditions. When the system determines that the puncture risk coefficient is lower than or equal to the preset safety threshold, the suggestion information is generated. The second suggestion information is used to confirm that the puncture operation on the patient needs to be stopped under the current conditions. When the puncture risk coefficient exceeds the preset safety threshold, it means that continuing the operation may bring higher risks. At this time, the control module generates a suggestion to stop the operation.

[0105] For obtaining the target indicator value and the standard indicator value, the control module first obtains each target indicator value and the corresponding indicator type in the target indicator information. Each indicator type has a corresponding standard indicator value, which serves as a benchmark for evaluating the patient's current state. For example, indicators such as blood pressure, heart rate, and blood oxygen saturation have their standard ranges.

[0106] According to the number of punctures, the patient's age and the target indicator information, the system calculates a specific puncture risk coefficient and calculates it through the above formula. In the formula, the first part (sum term) is used to evaluate the deviation between the patient's current target indicator value and the standard value, reflecting the degree of deviation of the physiological indicator. The second and third parts adjust the overall risk factor according to the patient's age and the number of punctures, taking into account the patient's tolerance and cumulative risk factors. When the puncture risk coefficient is less than or equal to the preset risk coefficient, the system believes that the current risk is within an acceptable range and the puncture operation can continue to be performed on the patient, thereby generating the first recommendation information. When the puncture risk coefficient exceeds the preset risk coefficient, the system determines that continuing the puncture may bring greater risks and recommends stopping the operation, thereby generating the second recommendation information.

[0107] Through the above steps, this embodiment performs an accurate quantitative assessment of the patient's risk before the puncture operation. This not only helps doctors make more scientific and safe decisions, but also improves the personalization and safety of patient treatment, ensuring that the risk control of patients during the operation is always within a controllable range.

[0108] In some embodiments, the instrument further includes an early warning module, which is communicatively connected to the control module; after generating puncture suggestion information according to the degree of fibrosis and baseline data to confirm whether to continue puncturing the patient according to the puncture suggestion information, it also includes: if it is confirmed to continue puncturing the patient according to the puncture suggestion information, generating early warning information and sending it to the early warning module, so that the early warning module alerts the user of the instrument to suspend puncturing the patient.

[0109] In order to further improve the safety and effectiveness of the puncture operation, an early warning module is introduced into the instrument. This module communicates with the control module and provides additional warning information to the user after confirming the safety of the puncture operation to ensure that each puncture decision is fully considered and confirmed. The early warning module communicates with the control module. Its main function is to warn of potential risks during the puncture operation and remind the operator to suspend the operation when necessary. The control module is responsible for receiving and processing baseline data, fibrosis degree information, and generating puncture recommendation information. It is also responsible for coordinating with the early warning module to issue a warning signal when necessary.

[0110] The control module generates puncture recommendation information based on the patient's degree of fibrosis and baseline data. This information is used to help doctors or operators confirm whether to continue the puncture operation. At this stage, the method provided has taken into account the patient's health information, disease information, physiological indicator information and other relevant factors, and provides scientific puncture recommendations based on these data. The control module will make a final confirmation on the feasibility of the puncture operation based on the puncture recommendation information. If the system determines that it is safe to continue the puncture under the current conditions, it will generate a confirmation message.

[0111] After confirming to continue the puncture operation on the patient, the control module will generate an early warning message. This early warning message will be immediately sent to the early warning module. After receiving the message, the early warning module will activate the corresponding warning mechanism, such as reminding the operator through sound, vibration or visual signal.

[0112] After receiving the warning information, the warning module will issue a warning to the user of the device to suspend the operation. The design intention of this function is to allow the operator to re-evaluate the necessity and safety of the current operation before continuing the puncture to ensure that no potential risks are ignored. After receiving the warning signal, the operator can review the current puncture plan. Only after confirming that all conditions meet the safety standards can the operator remove the warning and continue the puncture operation.

[0113] By introducing the early warning module, the method provided increases the safety guarantee in the puncture operation. The early warning module reminds the operator at the key operation nodes, effectively avoiding the risks that may be caused by neglect or operation errors. This early warning mechanism ensures that each puncture operation is strictly risk assessed and confirmed, providing a higher level of protection for the patient's safety.

[0114] In some embodiments, generating a microcurrent signal includes: obtaining a puncture site on a patient to be punctured; obtaining biocurrent effect information corresponding to the puncture site; determining a target current value based on baseline data, the patient's age and the biocurrent effect information; the target current value is a current value that the patient can withstand and that produces a biocurrent effect at the puncture site; and generating a microcurrent signal based on the target current value.

[0115] In this embodiment, the method provided assists the puncture operation by generating a microcurrent signal. The generation process of the microcurrent signal takes into account the individual characteristics of the patient and the bioelectrical effect of the puncture site, thereby ensuring that the current value is within a safe range and can effectively generate the bioelectrical effect.

[0116] The method provided first requires determining the specific site of the patient to be punctured. Different puncture sites may affect the propagation mode and effect of bioelectric current, so accurate positioning of the puncture site is the basis for generating effective microcurrent signals.

[0117] The bioelectric effect information corresponding to each puncture site is different. The provided method obtains this information to understand the biological reactions that may be triggered by applying microcurrent at this site. These reactions may include muscle contraction and nerve activation caused by local electrical stimulation. By understanding these effects, the provided method can better control the intensity and duration of the microcurrent signal.

[0118] Baseline data includes the patient's basic health information, medical history, physiological indicators, etc. These data provide the provided method with the patient's overall health status and help assess their tolerance to current. Age is an important factor. Usually with age, the patient's physiological response and tolerance will change. Therefore, the provided method needs to adjust the target current value according to the patient's age to ensure that the current intensity is moderate and does not cause discomfort or harm to the patient. Combined with the biocurrent effect information, the provided method determines a current value that can produce the expected biological effect without exceeding the patient's tolerance range. This current value is the target current value.

[0119] Once the target current value is determined, the provided method will generate a corresponding microcurrent signal. This signal is designed to be applied to the patient's puncture site during the puncture process to achieve the following purposes:

[0120] Assisted puncture: Microcurrent signals can provide a slight biological stimulation to help operators perform puncture operations more accurately. For example, through the muscle or nerve reaction induced by the current, the operator can more clearly perceive the specific status of the puncture site.

[0121] Monitoring and feedback: The provided method can monitor the changes in the bioelectrical effect during the puncture process in real time, and adjust the intensity of the microcurrent signal in a timely manner according to these changes to ensure that the current is always within a safe and effective range during the entire operation.

[0122] Through the above content, the provided method realizes the function of generating microcurrent signals based on individualized data. Microcurrent signals can not only effectively assist the puncture operation, but also improve the accuracy and safety of the operation and reduce the potential risks caused by puncture. This design of the provided method ensures that the application of current signals can be optimized under different patients and different puncture site conditions, making the puncture operation more accurate, safe and effective.

[0123] The embodiment of the present application provides a method for precise puncture of the spine or iliac crest, which obtains baseline data of the patient to be punctured; generates a microcurrent signal, and transmits the microcurrent signal to the control module of the instrument; obtains a first current value corresponding to the puncture module sent by the detection module of the instrument; when the puncture module contacts the bone marrow of the patient's spine or iliac crest, obtains a second current value corresponding to the puncture module sent by the detection module of the instrument; determines the degree of fibrosis corresponding to the bone marrow based on the first current value and the second current value; generates puncture suggestion information based on the degree of fibrosis and the baseline data, so as to confirm whether to continue puncturing the patient based on the puncture suggestion information. The provided method has the following beneficial effects:

[0124] 1. Improve puncture accuracy: Through the synergistic effect of the detection module and the control module, the device can detect the change of current value in real time during the puncture process, accurately determine whether it is in contact with the bone marrow of the spine or iliac crest, and significantly improve the accuracy of puncture.

[0125] 2. Personalized puncture recommendation: The control module generates specific puncture recommendation information based on the detected current value and the patient's baseline data, allowing the doctor to decide whether to continue the puncture based on the patient's specific situation, thereby achieving personalized medical treatment.

[0126] 3. Reduce the risk of accidental puncture: By analyzing the degree of myelofibrosis, accurate puncture recommendation information is provided, which helps to reduce the risk of accidental puncture and protect patient safety.

[0127] 4. Real-time feedback mechanism: The device has real-time feedback function, which can dynamically adjust and optimize the operation during the puncture process, improving the safety and efficiency of the entire surgical process.

[0128] In order to perform the method for precise puncture of the spine or iliac crest corresponding to the above method embodiment, so as to achieve the corresponding functions and technical effects. Figure 4 , Figure 4 The structural block diagram of a system 200 for precise puncture of the spine or iliac crest provided in an embodiment of the present application is shown. The system is applied to a control module of an apparatus provided in any embodiment of the present application. For ease of description, only the parts related to the present embodiment are shown. The system 200 for precise puncture of the spine or iliac crest provided in an embodiment of the present application includes:

[0129] A data acquisition unit 201 is used to acquire baseline data of a patient to be punctured;

[0130] A current generating unit 202, used to generate a micro-current signal and transmit the micro-current signal to a control module of the device;

[0131] A detection acquisition unit 203, used for acquiring a first current value corresponding to the puncture module sent by the detection module of the device;

[0132] The puncture acquisition unit 204 is used to acquire the second current value corresponding to the puncture module sent by the detection module of the instrument when the puncture module contacts the bone marrow of the spine or iliac crest of the patient;

[0133] A degree acquisition unit 205, configured to determine a degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value;

[0134] The suggestion generating unit 206 is configured to generate puncture suggestion information according to the degree of fibrosis and the baseline data, so as to confirm whether to continue puncturing the patient according to the puncture suggestion information.

[0135] In some embodiments, the degree acquisition unit 205 is further used to: calculate the resistance value corresponding to the bone marrow according to the first current value and the second current value; obtain the patient's age; calculate the fibrosis degree corresponding to the patient's age and the resistance value according to a preset fibrosis degree calculation formula; the fibrosis degree calculation formula includes:

[0136]

[0137] Among them, γ is the degree of fibrosis, R is the resistance value, Y is the patient's age, ρ1 is the first weight factor, ρ2 is the second weight factor, ρ3 is the third weight factor, ρ4 is the fourth weight factor, k is the balance factor, δ is the offset factor, and Δ is the attenuation factor.

[0138] Exemplarily, the first weight factor is used to control the influence of the cubic term of the resistance value on the degree of fibrosis, the second weight factor is used to adjust the influence of the product of the patient's age and the sine function of the resistance value on the degree of fibrosis, the third weight factor is used to adjust the influence of the logarithmic term on the degree of fibrosis, and the fourth weight factor is used to control the influence of the exponential function of the product of the resistance value and the age on the degree of fibrosis; before determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value, it also includes: a model training unit for obtaining historical puncture information; the historical puncture information includes historical resistance values, historical patient ages and historical degrees of fibrosis; calculating the cubic term corresponding to the historical resistance value, the product of the historical patient age and the sine function of the historical resistance value, and constructing a historical fractional term based on the cubic term, the product, the historical patient age and the balance factor; based on the historical resistance value, the offset factor, the historical patient age and The smoothing factor generates a historical logarithmic item; the historical exponential item is generated according to the historical resistance value, the historical patient age and the attenuation factor; the historical score item, the historical logarithmic item and the historical exponential item are input into the factor generation model to be trained, and the factor generation model outputs the first prediction factor and the second prediction factor corresponding to the historical score item, the third prediction factor corresponding to the historical logarithmic item and the fourth prediction factor corresponding to the historical exponential item; the predicted degree of fibrosis is calculated according to the first prediction factor, the second prediction factor, the third prediction factor, the fourth prediction factor, the historical score item, the historical logarithmic item and the historical exponential item; the training of the factor generation model is completed according to the historical degree of fibrosis and the predicted degree of fibrosis, so as to input the historical score item, the historical logarithmic item and the historical exponential item into the trained factor generation model, and the factor generation model outputs the first weight factor, the second weight factor, the third weight factor and the fourth weight factor.

[0139] In some embodiments, the baseline data includes at least the patient's health information, disease information and physiological indicator information before puncture; the recommendation generation unit 206 is also used to: build a physiological model of the patient according to the degree of fibrosis, health information, disease information and physiological indicator information; simulate the puncture of the patient's spine or iliac crest at a preset depth in the physiological model, and obtain result information corresponding to the simulation; generate puncture recommendation information based on the result information.

[0140] Exemplarily, the result information includes physiological indicator change information; the suggestion generation unit 206 is also used to: confirm the target indicator information corresponding to the patient after puncture based on the physiological indicator change information and the physiological indicator information; obtain the number of punctures completed and the patient's age; generate puncture suggestion information based on the number of punctures completed, the patient's age and the target indicator information.

[0141] It should be noted that, in some embodiments, the puncture suggestion information includes first suggestion information and second suggestion information, the first suggestion information is used to confirm that the puncture of the patient can continue, and the second suggestion information is used to confirm that the puncture of the patient needs to be stopped; the suggestion generation unit 206 is also used to: obtain the indicator type of each target indicator value in the target indicator information and the standard indicator value corresponding to each indicator type; calculate the puncture risk coefficient corresponding to the patient according to the number of punctures, the patient's age and the target indicator information; if the puncture risk coefficient is less than or equal to the preset risk coefficient, generate the first suggestion information; or, if the puncture risk coefficient is greater than the preset risk coefficient, generate the second suggestion information; wherein the calculation formula of the puncture risk coefficient includes:

[0142]

[0143] θ is the puncture risk coefficient, n is the number of target index values, is the target indicator value, μ is the standard indicator value corresponding to the target indicator value, Y is the patient's age, ω is the number of punctures, τ1 is the first risk weight, τ2 is the second risk weight, and τ3 is the second risk weight.

[0144] In some embodiments, the instrument further includes an early warning module, which is communicatively connected to the control module; after generating puncture suggestion information according to the degree of fibrosis and baseline data to confirm whether to continue puncturing the patient according to the puncture suggestion information, it further includes: an early warning generation unit, which is used to generate early warning information and send it to the early warning module if it is confirmed to continue puncturing the patient according to the puncture suggestion information, so that the early warning module alerts the user of the instrument to suspend puncturing the patient.

[0145] In some embodiments, the current generating unit 202 is also used to: obtain the puncture site of the patient to be punctured; obtain the biocurrent effect information corresponding to the puncture site; determine the target current value based on the baseline data, the patient's age and the biocurrent effect information; the target current value is the current value that the patient can withstand and that produces a biocurrent effect at the puncture site; and generate a microcurrent signal based on the target current value.

[0146] The system 200 for precise puncture of the spine or iliac crest described above can implement the method for precise puncture of the spine or iliac crest described above. The options in the method embodiment described above are also applicable to this embodiment and will not be described in detail here. The rest of the contents of the embodiment of the present application can refer to the contents of the method embodiment described above and will not be described in detail in this embodiment.

[0147] Figure 5 This is a schematic diagram of the structure of a control module provided in one embodiment of the present application. Figure 5 As shown, the control module 13 of this embodiment includes: at least one processor 130 ( Figure 5Only one is shown in the figure), a memory 131, and a computer program 132 stored in the memory 131 and executable on the at least one processor 130, wherein the processor 130 implements the steps of any of the above method embodiments when executing the computer program 132.

[0148] The control module 13 may be a microcontroller mounted on a smart phone, a tablet computer, a desktop computer, or a cloud server. The control module may include, but is not limited to, a processor 130 and a memory 131. Those skilled in the art will appreciate that Figure 5 This is only an example of the control module 13 and does not constitute a limitation on the control module 13 , which may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, may also include input and output devices, network access devices, etc.

[0149] The processor 130 may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0150] In some embodiments, the memory 131 may be an internal storage unit of the control module 13, such as a hard disk or memory of the control module 13. In other embodiments, the memory 131 may also be an external storage device of the control module 13, such as a plug-in hard disk, a smart memory card (Smart Med i aCard, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the control module 13. Further, the memory 131 may also include both an internal storage unit of the control module 13 and an external storage device. The memory 131 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 131 may also be used to temporarily store data that has been output or is to be output.

[0151] In addition, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0152] An embodiment of the present application provides a computer program product. When the computer program product runs on a control module, the control module implements the steps in the above-mentioned method embodiments when executed.

[0153] In several embodiments provided in the present application, it is understood that each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.

[0154] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a control module to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0155] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the scope of protection of the present application. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims

1. An instrument for precise puncture of the spine or iliac crest, characterized in that: include: A puncture module, which punctures the spine or iliac crest of a patient to be punctured; A detection module, the detection module is electrically connected to the puncture module; A control module, wherein the control module is electrically connected to the puncture module and the detection module, the control module generates a microcurrent signal and transmits it to the puncture module, the detection module sends a first current value corresponding to the puncture module to the control module, and when the puncture module contacts the bone marrow of the patient's spine or iliac crest, the detection module sends a second current value corresponding to the puncture module to the control module, the control module determines the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value, and generates puncture recommendation information according to the fibrosis degree and the patient's baseline data, so as to confirm whether to continue puncturing the patient according to the puncture recommendation information.

2. A method for precise puncture of the spine or iliac crest, characterized in that: The method is applied to the control module of the device according to claim 1; the method comprises: Obtain baseline data for patients to be punctured; generating a microcurrent signal, and transmitting the microcurrent signal to a control module of the device; Acquire a first current value corresponding to the puncture module sent by the detection module of the device; When the puncture module contacts the bone marrow of the spine or iliac crest of the patient, obtaining a second current value corresponding to the puncture module sent by the detection module of the instrument; determining a degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value; Puncture suggestion information is generated according to the degree of fibrosis and the baseline data, so as to confirm whether to continue puncturing the patient according to the puncture suggestion information.

3. The method according to claim 2, characterized in that The determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value includes: Calculating the resistance value corresponding to the bone marrow substance according to the first current value and the second current value; obtain the patient age of the patient; Calculating the degree of fibrosis corresponding to the patient's age and the resistance value according to a preset fibrosis degree calculation formula; The calculation formula for the degree of fibrosis includes: Among them, γ is the degree of fibrosis, R is the resistance value, Y is the patient age, ρ1 is the first weight factor, ρ2 is the second weight factor, ρ3 is the third weight factor, ρ4 is the fourth weight factor, k is the balance factor, δ is the offset factor, and Δ is the attenuation factor.

4. The method according to claim 3, characterized in that The first weight factor is used to control the influence of the cubic term of the resistance value on the degree of fibrosis, the second weight factor is used to adjust the influence of the product of the patient's age and the sine function of the resistance value on the degree of fibrosis, the third weight factor is used to adjust the influence of the logarithmic term on the degree of fibrosis, and the fourth weight factor is used to control the influence of the exponential function of the product of the resistance value and the age on the degree of fibrosis; Before determining the degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value, the method further includes: Acquiring historical puncture information; the historical puncture information includes historical resistance values, historical patient ages, and historical fibrosis degrees; Calculating a cubic term corresponding to the historical resistance value, a product of the historical patient age and a sine function of the historical resistance value, and constructing a historical fractional term based on the cubic term, the product, the historical patient age, and the balance factor; generating a historical logarithmic term based on the historical resistance value, the offset factor, the historical patient age, and the smoothing factor; generating a historical index term based on the historical resistance value, the historical patient age, and the attenuation factor; Inputting the historical score item, the historical logarithmic item and the historical exponential item into a factor generation model to be trained, the factor generation model outputting a first prediction factor and a second prediction factor corresponding to the historical score item, a third prediction factor corresponding to the historical logarithmic item and a fourth prediction factor corresponding to the historical exponential item; Calculate the predicted degree of fibrosis according to the first predictor, the second predictor, the third predictor, the fourth predictor, the historical score item, the historical logarithmic item, and the historical index item; The factor generation model is trained according to the historical degree of fibrosis and the predicted degree of fibrosis, so that the historical score item, the historical logarithmic item and the historical exponential item are input into the trained factor generation model, and the factor generation model outputs the first weight factor, the second weight factor, the third weight factor and the fourth weight factor.

5. The method according to claim 2, characterized in that: The baseline data at least includes the health information, disease information and physiological index information of the patient before the puncture; the generating of the puncture suggestion information according to the degree of fibrosis and the baseline data includes: Constructing a physiological model of the patient according to the fibrosis degree, health information, disease information and physiological index information; Simulating puncturing the patient's spine or iliac crest at a preset depth in the physiological model, and obtaining result information corresponding to the simulation; The puncture suggestion information is generated according to the result information.

6. The method according to claim 5, characterized in that The result information includes physiological index change information; and generating the puncture suggestion information according to the result information includes: Confirming target indicator information corresponding to the patient after puncture according to the physiological indicator change information and the physiological indicator information; Obtaining the number of punctures performed on the patient and the patient's age; The puncture suggestion information is generated according to the number of punctures completed, the patient's age and the target indicator information.

7. The method according to claim 6, characterized in that The puncture suggestion information includes first suggestion information and second suggestion information, the first suggestion information is used to confirm that the puncture on the patient can be continued, and the second suggestion information is used to confirm that the puncture on the patient needs to be stopped; The generating of the puncture suggestion information according to the number of punctures completed, the patient's age and the target indicator information includes: Obtaining the indicator type of each target indicator value in the target indicator information and the standard indicator value corresponding to each indicator type; Calculate the puncture risk coefficient corresponding to the patient according to the number of punctures completed, the patient's age and the target indicator information; If the puncture risk factor is less than or equal to the preset risk factor, the first suggestion information is generated; or if the puncture risk factor is greater than the preset risk factor, the second suggestion information is generated; Wherein, the calculation formula of the puncture risk coefficient includes: The θ is the puncture risk coefficient, the n is the number of the target index values, is the target index value, μ is the standard index value corresponding to the target index value, Y is the patient age, ω is the number of punctures, τ1 is the first risk weight, τ2 is the first risk weight, and τ3 is the second risk weight.

8. The method according to claim 2, characterized in that: The device further includes an early warning module, which is in communication with the control module; after generating puncture suggestion information according to the degree of fibrosis and the baseline data to confirm whether to continue puncturing the patient according to the puncture suggestion information, it also includes: If it is confirmed to continue puncturing the patient according to the puncture suggestion information, an early warning message is generated and sent to the early warning module, so that the early warning module warns the user of the instrument to suspend puncturing the patient.

9. The method according to claim 2, characterized in that: The generating of micro-current signal comprises: Acquiring a puncture site of the patient to be punctured; Obtaining bioelectrical effect information corresponding to the puncture site; Determine a target current value according to the baseline data, the patient's age and the bioelectrical effect information; the target current value is a current value that the patient can bear and that produces a bioelectrical effect at the puncture site; The microcurrent signal is generated according to the target current value.

10. A system for precise puncture of the spine or iliac crest, characterized in that: A control module for the device according to claim 1; comprising: A data acquisition unit, used for acquiring baseline data of the patient to be punctured; A current generating unit, used for generating a micro-current signal and transmitting the micro-current signal to a control module of the device; A detection acquisition unit, used for acquiring a first current value corresponding to the puncture module sent by the detection module of the device; a puncture acquisition unit, configured to acquire a second current value corresponding to the puncture module and sent by the detection module of the device when the puncture module contacts the bone marrow of the spine or iliac crest of the patient; a degree acquisition unit, configured to determine a degree of fibrosis corresponding to the bone marrow according to the first current value and the second current value; The suggestion generating unit is used to generate puncture suggestion information according to the fibrosis degree and the baseline data, so as to confirm whether to continue puncturing the patient according to the puncture suggestion information.

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