Surgical instrument medullary cavity expander residue pollution data analysis method and system

Abstract

The invention relates to the technical field of surgical instrument pollution detection, in particular to a surgical instrument medullary cavity expander residue pollution data analysis method and system.The structural pollution invasion degree of a medullary cavity expander is analyzed on the basis of spiral structure data and residue detection data; based on the spiral structure data and the intraoperative operation data, the dynamic pollution load degree of the medullary cavity expander is analyzed; according to the structural pollution invasion degree analysis result and the dynamic pollution load degree analysis result of the medullary cavity expander, the residue pollution risk of the medullary cavity expander is evaluated; and carrying out early warning on replacement of the medullary cavity expander according to the residue pollution risk assessment result of the medullary cavity expander. The cross infection risk of surgical instruments can be avoided, and the service life of the surgical instruments is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of surgical instrument contamination detection, and particularly to a method and system for analyzing the contamination data of the residue of a surgical instrument reamer. Background Art

[0002] In the field of orthopedic surgery, as a key preprocessing instrument before implanting an implant, the reamer undertakes the important mission of precisely reaming the medullary cavity. Through the carefully arranged threads and grooves on the surface, the reamer realizes the progressive expansion of the patient's medullary cavity during high-speed rotation. However, although the thread structure in the reamer can improve the surgical efficiency, at the same time, during rotation, while the thread structure provides a gripping force, its deep grooves also become areas where blood, bone chips, and biofilms are easily adhered to and embedded.

[0003] When analyzing the contamination of surgical instruments in the prior art, surgical instruments such as reamers are often regarded as homogeneous rigid bodies, only considering the evaluation of the contamination risk on the surface of the instruments, but often ignoring the hiding of contaminants caused by the unique structure of the reamer, not considering the mechanical embedding effect of bone chips and biological tissues in the spiral threads. At the same time, the prior art also lacks relevant analysis of the internal relationship between the functional structure of the reamer and its contamination generation mechanism, making its contamination risk assessment scheme unable to adapt to the special structure of the reamer, ultimately resulting in an inability to comprehensively evaluate the contamination risk, thus affecting the timely replacement of surgical instruments during use, slowing down the surgical progress of patients, and increasing the risk of cross-infection.

[0004] To solve these problems, the present application designs a method and system for analyzing the contamination data of the residue of a surgical instrument reamer. Summary of the Invention

[0005] In order to overcome the defects and deficiencies existing in the prior art, the present invention provides a method and system for analyzing the contamination data of the residue of a surgical instrument reamer. By comprehensively analyzing the degree of structural contamination intrusion of the reamer and the degree of dynamic contamination load of the reamer, the contamination risk of the residue of the reamer is evaluated; thereby, the risk of cross-infection of surgical instruments can be avoided, and the service life of surgical instruments can be extended.

[0006] To achieve the above object, the present invention adopts the following technical solutions: In a first aspect, an embodiment of the present invention provides a method for analyzing the contamination data of the residue of a surgical instrument reamer, including the following steps: S1. Obtain the spiral structure data and intraoperative operation data of the reamer, and at the same time obtain the residue detection data of the reamer; S2. Analyze the degree of structural contamination intrusion of the reamer based on the spiral structure data and residue detection data; S3. Analyze the dynamic contamination load degree of the reamer based on the spiral structure data and intraoperative operation data; S4. Evaluate the residue contamination risk of the reamer according to the analysis results of the degree of structural contamination intrusion and the analysis results of the dynamic contamination load degree of the reamer; S5. Conduct a replacement warning for the reamer according to the evaluation results of the residue contamination risk of the reamer.

[0007] In an implementation manner of the present invention, in step S2, analyzing the degree of structural contamination intrusion of the reamer based on the spiral structure data and residue detection data includes the following specific steps: S21. Extract the spiral structure data and residue detection data of the reamer; S22. Analyze the degree of structural contamination intrusion of the reamer based on the spiral structure data and residue detection data to obtain the analysis result of the degree of structural contamination intrusion of the reamer.

[0008] In an implementation manner of the present invention, step S22 includes the following specific steps: S221. Analyze the pollutant adhesion strength of the reamer based on the spiral structure data and residue detection data to obtain the analysis result of the pollutant adhesion strength of the reamer; S222. Analyze the embedding strength of the pollutant in the grooves of the reamer based on the spiral structure data and residue detection data to obtain the analysis result of the embedding strength of the pollutant in the grooves of the reamer; S223. Analyze the degree of structural contamination intrusion of the reamer according to the analysis result of the pollutant adhesion strength of the reamer and the analysis result of the embedding strength of the pollutant in the grooves of the reamer to obtain the analysis result of the degree of structural contamination intrusion of the reamer.

[0009] In an implementation manner of the present invention, in step S3, analyzing the dynamic contamination load degree of the reamer based on the spiral structure data and intraoperative operation data includes the following specific steps: S31. Extract the spiral structure data and intraoperative operation data of the reamer; S32. Analyze the dynamic contamination load degree of the reamer based on the spiral structure data and intraoperative operation data to obtain the analysis result of the dynamic contamination load degree of the reamer.

[0010] In an implementation manner of the present invention, step S32 includes the following specific steps: S321. Analyze the dynamic deposition degree of contaminants in the reamer based on the spiral structure data and intraoperative operation data, and obtain the analysis result of the dynamic deposition degree of contaminants in the reamer; S322. Analyze the degree of bone debris tissue contamination in the reamer based on the spiral structure data and intraoperative operation data, and obtain the analysis result of the degree of bone debris tissue contamination in the reamer; S323. Analyze the dynamic pollution load degree of the reamer according to the analysis result of the dynamic deposition degree of contaminants in the reamer and the analysis result of the degree of bone debris tissue contamination, and obtain the analysis result of the dynamic pollution load degree of the reamer.

[0011] In an implementation manner of the present invention, in step S4, according to the analysis result of the structural pollution intrusion degree and the analysis result of the dynamic pollution load degree of the reamer, evaluate the pollution risk of the reamer residue, including the following specific steps: S41. Extract the analysis result of the structural pollution intrusion degree and the analysis result of the dynamic pollution load degree of the reamer obtained by analysis; S42. Evaluate the pollution risk of the reamer residue based on the analysis result of the structural pollution intrusion degree and the analysis result of the dynamic pollution load degree of the reamer, and obtain the evaluation result of the pollution risk of the reamer residue.

[0012] In an implementation manner of the present invention, in step S5, according to the evaluation result of the pollution risk of the reamer residue, give a warning for reamer replacement, including the following specific steps: S51. Obtain the evaluation result of the pollution risk of the reamer residue obtained by evaluation; S52. Preset a pollution risk threshold, and when the evaluation result of the pollution risk of the reamer residue is less than the pollution risk threshold, give a warning for reamer replacement.

[0013] In a second aspect, an analysis system for the pollution data of the reamer residue of a surgical instrument provided by an embodiment of the present invention includes: A data acquisition module, configured to acquire the spiral structure data and intraoperative operation data of the reamer, and at the same time acquire the residue detection data of the reamer; A structural pollution intrusion degree analysis module, configured to analyze the structural pollution intrusion degree of the reamer based on the spiral structure data and the residue detection data; A dynamic pollution load degree analysis module, configured to analyze the dynamic pollution load degree of the reamer based on the spiral structure data and the intraoperative operation data; The medullary cavity expander contamination risk assessment module is used to assess the contamination risk of medullary cavity expander residues based on the analysis results of the structural contamination intrusion degree and the dynamic contamination load degree of the medullary cavity expander; The replacement warning module is used to give a warning for replacing the medullary cavity expander according to the assessment result of the contamination risk of the medullary cavity expander residues; The control module is used to control the operation of the data acquisition module, the structural contamination intrusion degree analysis module, the dynamic contamination load degree analysis module, the medullary cavity expander contamination risk assessment module and the replacement warning module.

[0014] In a third aspect, an electronic device provided by an embodiment of the present invention includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes a method for analyzing the data of the residues of the surgical instrument medullary cavity expander by calling the computer program stored in the memory.

[0015] In a fourth aspect, a computer-readable storage medium provided by an embodiment of the present invention stores instructions, and when the instructions run on a computer, the computer is made to execute a method for analyzing the data of the residues of the surgical instrument medullary cavity expander.

[0016] Compared with the prior art, the present invention has the following advantages and beneficial effects: Based on the spiral structure data and the residue detection data, the present invention analyzes the structural contamination intrusion degree of the medullary cavity expander; based on the spiral structure data and the intraoperative operation data, it analyzes the dynamic contamination load degree of the medullary cavity expander; according to the analysis results of the structural contamination intrusion degree and the dynamic contamination load degree of the medullary cavity expander, it assesses the contamination risk of the medullary cavity expander residues; according to the assessment result of the contamination risk of the medullary cavity expander residues, it gives a warning for replacing the medullary cavity expander. It can facilitate the timely replacement of surgical instruments during use, improve the intraoperative operation efficiency during the patient's surgery, and at the same time avoid the risk of cross-infection of surgical instruments and extend the service life of surgical instruments. Description of the Drawings

[0017] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes and advantages of the present invention will become more obvious: Figure 1 It is a schematic diagram of the overall process of a method for analyzing the data of the residues of the surgical instrument medullary cavity expander of the present invention; Figure 2 It is a working flowchart of step S2 in a method for analyzing the data of the residues of the surgical instrument medullary cavity expander of the present invention; Figure 3 It is a working flowchart of step S3 in a method for analyzing the data of the residues of the surgical instrument medullary cavity expander of the present invention; Figure 4 This is a schematic structural diagram of a data analysis system for the residue contamination of a surgical instrument, a medullary cavity expander, according to the present invention. Specific embodiments

[0018] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. Without conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0019] Embodiment 1 As Figure 1 shown, this embodiment provides a method for analyzing the residue contamination of a surgical instrument, a medullary cavity expander, specifically including the following steps: S1. Obtain the spiral structure data and intraoperative operation data of the medullary cavity expander, and at the same time obtain the residue detection data of the medullary cavity expander; S2. Analyze the degree of structural contamination intrusion of the medullary cavity expander based on the spiral structure data and the residue detection data; S3. Analyze the dynamic contamination load degree of the medullary cavity expander based on the spiral structure data and the intraoperative operation data; S4. Evaluate the residue contamination risk of the medullary cavity expander according to the analysis results of the degree of structural contamination intrusion and the analysis results of the dynamic contamination load degree of the medullary cavity expander; S5. Give a warning for replacing the medullary cavity expander according to the evaluation result of the residue contamination risk of the medullary cavity expander.

[0020] In the preferred technical solution of the present invention, as Figure 2 shown, in step S2, analyzing the degree of structural contamination intrusion of the medullary cavity expander based on the spiral structure data and the residue detection data includes the following specific steps: S21. Extract the spiral structure data and the residue detection data of the medullary cavity expander; S22. Analyze the degree of structural contamination intrusion of the medullary cavity expander based on the spiral structure data and the residue detection data to obtain the analysis result of the degree of structural contamination intrusion of the medullary cavity expander.

[0021] In the preferred technical solution of the present invention, step S22 includes the following specific steps: S221. Analyze the contaminant adhesion strength of the canal reamer based on the spiral structure data and the residue detection data to obtain the analysis result of the contaminant adhesion strength of the canal reamer. The surface roughness of the canal reamer will increase the actual contact area between the patient's medullary cavity and the canal reamer. At the same time, the hydrophobicity of the canal reamer surface will affect its droplet spreading ability, thereby affecting whether the contaminants will be detached from the canal reamer surface in a timely manner during the cleaning process. Therefore, in this step, analyze the contact angle of the canal reamer to quantify its hydrophobicity, analyze the surface roughness of the canal reamer to quantify its actual contact area with the patient's medullary cavity and the degree of easy retention of contaminants, and quantify the concentration of the residue to analyze the adhesion difference of contaminants during the intraoperative operation, realizing the analysis of the influence of the surface characteristics of the canal reamer material on the attachment of contaminants; the formula for calculating the contaminant adhesion strength is: , where Zf is the contaminant adhesion strength of the canal reamer, Co is the initial residue concentration of the canal reamer in the residue detection data, C is the current residue concentration of the canal reamer in the residue detection data, R is the surface roughness of the contact surface between the canal reamer and the patient in the spiral structure data, is the contact angle of the contact surface between the canal reamer and the patient in the spiral structure data; S222. Analyze the embedding strength of contaminants in the grooves of the canal reamer based on the spiral structure data and the residue detection data to obtain the analysis result of the embedding strength of contaminants in the grooves of the canal reamer; the thread clearance and depth of the canal reamer will affect the residence time of bone chips, biological tissues, and blood generated during the operation in the grooves, and the viscosity of the residue (in this embodiment, the viscosity of the patient's blood measured by a rheometer will be used as the viscosity of the residue) and the rotation speed of the canal reamer during the advancement in the operation will affect the embedding state of contaminants in the grooves of the canal reamer. Therefore, in this step, based on the diffusion-convection equilibrium theory, the Strouhal number is introduced to realize the quantification of the embedding strength of contaminants in the grooves of the canal reamer. The formula for calculating the embedding strength of contaminants in the grooves of the canal reamer is: , where Gc is the embedding strength of contaminants in the grooves of the canal reamer, d is the thread depth of the canal reamer in the spiral structure data, g is the thread clearance of the canal reamer in the spiral structure data, u is the residue viscosity in the residue detection data, p is the residue density in the residue detection data, and vt is the average rotation speed of the canal reamer; S223. Analyze the degree of structural pollution intrusion of the canal reamer based on the analysis results of the pollutant adhesion strength and the embedding strength of pollutants in the grooves of the canal reamer, and obtain the analysis result of the degree of structural pollution intrusion of the canal reamer. This step quantifies the pollution persistence by comprehensively considering the pollutant adhesion strength and the embedding strength of pollutants in the grooves of the canal reamer, thereby realizing the analysis of the degree of structural pollution intrusion of the canal reamer. The calculation formula for the degree of structural pollution intrusion of the canal reamer is: , where Jq is the degree of structural pollution intrusion of the canal reamer, and a1 and a2 are the influence weights of pollutant adhesion strength and embedding strength respectively.

[0022] In the preferred technical solution of the present invention, as Figure 3 shown, in step S3, based on the spiral structure data and intraoperative operation data, analyze the dynamic pollution load degree of the canal reamer, including the following specific steps: S31. Extract the spiral structure data and intraoperative operation data of the canal reamer; S32. Analyze the dynamic pollution load degree of the canal reamer based on the spiral structure data and intraoperative operation data, and obtain the analysis result of the dynamic pollution load degree of the canal reamer.

[0023] In the preferred technical solution of the present invention, step S32 includes the following specific steps: S321. Analyze the dynamic deposition degree of pollutants in the canal reamer based on the spiral structure data and intraoperative operation data, and obtain the analysis result of the dynamic deposition degree of pollutants in the canal reamer. This step quantifies the increase in the dynamic deposition degree of pollutants in the canal reamer during the intraoperative operation by analyzing the driving force for pollutant deposition provided by the mechanical work of the canal reamer. The calculation formula for the dynamic deposition degree of pollutants in the canal reamer is: , where Dc is the dynamic deposition degree of pollutants in the canal reamer, F is the axial pressure of the canal reamer at the t-th moment during the operation in the intraoperative operation data, Fmax is the maximum axial pressure of the canal reamer in the intraoperative operation data, w is the rotation speed of the canal reamer at the t-th moment during the operation in the intraoperative operation data, t is the operation duration of the canal reamer in the intraoperative operation data, D is the diameter of the canal reamer in the spiral structure data, and Ds is the diameter of the patient's medullary cavity in the intraoperative operation data; S322. Analyze the degree of bone debris tissue contamination in the reamer based on the spiral structure data and intraoperative operation data to obtain the analysis result of the degree of bone debris tissue contamination in the reamer. The degree of bone calcification of the patient can reflect the brittleness of the bone tissue. When the reamer acts on the patient's bone tissue, the greater the brittleness, the easier it is to generate bone debris due to bone tissue fragmentation, thereby further contaminating the reamer. Therefore, this step analyzes the interaction between the degree of bone tissue calcification of the patient and the mechanical force of the reamer during the intraoperative operation process, thereby realizing the analysis of the change in the degree of bone debris tissue contamination in the reamer during the intraoperative operation process. The calculation formula for the degree of bone debris tissue contamination in the reamer is: , where Gx is the degree of bone debris tissue contamination in the reamer, Ca is the degree of bone tissue calcification of the patient obtained through imaging examination in the intraoperative operation data, and Camax is the critical value of complete bone tissue calcification; S323. Analyze the dynamic pollution load degree of the reamer based on the analysis result of the dynamic deposition degree of pollutants in the reamer and the analysis result of the degree of bone debris tissue contamination to obtain the analysis result of the dynamic pollution load degree of the reamer. This step integrates the dynamic deposition degree of pollutants caused by intraoperative operation parameters and the degree of bone debris tissue contamination caused by the patient's bone mass characteristics as dual pollution sources, realizing the quantification of the progressive cumulative characteristics of intraoperative pollution of the reamer. The calculation formula for the dynamic pollution load degree of the reamer is: , where Fh is the dynamic pollution load degree of the reamer, and b1 and b2 are the influence weights of the dynamic deposition degree of pollutants and the influence weight of the degree of bone debris tissue contamination, respectively.

[0024] In the preferred technical solution of the present invention, in step S4, based on the analysis result of the structural pollution intrusion degree of the reamer and the analysis result of the dynamic pollution load degree, the pollution risk of the reamer residue is evaluated, including the following specific steps: S41. Extract the analysis result of the structural pollution intrusion degree of the reamer and the analysis result of the dynamic pollution load degree obtained through analysis; S42. Based on the analysis result of the structural pollution intrusion degree of the reamer and the analysis result of the dynamic pollution load degree, evaluate the pollution risk of the reamer residue to obtain the evaluation result of the pollution risk of the reamer residue. This step analyzes the analysis result of the structural pollution intrusion degree of the reamer and the analysis result of the dynamic pollution load degree as the main pollution sources of the reamer residue, and comprehensively evaluates the pollution risk. The evaluation formula for the pollution risk of the reamer residue is: , where Qx is the risk of contamination by the residue of the reamer, V is the volume cut by the reamer per revolution, d is the thread depth of the reamer, and c1 and c2 are the influence weights of the degree of structural contamination intrusion and the degree of dynamic contamination load, respectively.

[0025] In a preferred technical solution of the present invention, in step S5, according to the evaluation result of the risk of contamination by the residue of the reamer, a warning for replacing the reamer is given, including the following specific steps: S51. Obtain the evaluation result of the risk of contamination by the residue of the reamer obtained by evaluation; S52. Preset a contamination risk threshold. When the evaluation result of the risk of contamination by the residue of the reamer is less than the contamination risk threshold, a warning for replacing the reamer is given. It should be noted that the acquisition method of the set parameters (such as weights and thresholds) in this embodiment is obtained through experiments by those skilled in the art. The specific experimental method is: obtain the spiral structure data and intraoperative operation data of multiple historical reamers, and at the same time obtain the residue detection data and cleaning operation data of the corresponding reamers, substitute them into each step of this embodiment to evaluate the risk of contamination by the residue of multiple historical reamers, and at the same time obtain the judgment results of the risk of contamination by the residue of multiple historical reamers. Import the judgment results of the risk of contamination by the residue of multiple historical reamers and the evaluation results of the risk of contamination by the residue of multiple historical reamers obtained by each step into the fitting software for continuous fitting to obtain the values of the set parameters (such as weights and thresholds) that meet the maximum contamination risk judgment accuracy rate.

[0026] Embodiment 2 As Figure 4 shown, this embodiment provides a data analysis system for the residue contamination of a surgical instrument reamer, including: A data acquisition module for obtaining the spiral structure data and intraoperative operation data of the reamer, and at the same time obtaining the residue detection data of the reamer; A structural contamination intrusion degree analysis module for analyzing the degree of structural contamination intrusion of the reamer based on the spiral structure data and the residue detection data; A dynamic contamination load degree analysis module for analyzing the degree of dynamic contamination load of the reamer based on the spiral structure data and the intraoperative operation data; A reamer contamination risk evaluation module for evaluating the risk of contamination by the residue of the reamer according to the analysis results of the degree of structural contamination intrusion and the degree of dynamic contamination load of the reamer; A replacement warning module for giving a warning for replacing the reamer according to the evaluation result of the risk of contamination by the residue of the reamer; A control module, configured to control the operation of a data acquisition module, a structural pollution intrusion degree analysis module, a dynamic pollution load degree analysis module, a medullary cavity expander pollution risk assessment module, and a replacement warning module.

[0027] For the parameters and the steps for each unit module in the above-mentioned data analysis system for the residue pollution of a surgical instrument, a medullary cavity expander, to implement corresponding functions, reference can be made to the parameters and steps in the embodiments of the data analysis method for the residue pollution of a surgical instrument, a medullary cavity expander, in the foregoing text, and details will not be described herein.

[0028] Embodiment 3 An electronic device according to an embodiment of the present invention includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes a data analysis method for the residue pollution of a surgical instrument, a medullary cavity expander, by calling the computer program stored in the memory. It should be noted that: all computer programs of the data analysis method for the residue pollution of a surgical instrument, a medullary cavity expander, are implemented using the C language. Among them, the data acquisition module, the structural pollution intrusion degree analysis module, the dynamic pollution load degree analysis module, the medullary cavity expander pollution risk assessment module, the replacement warning module, and the control module are all controlled by a remote server.

[0029] Embodiment 4 This embodiment provides a computer-readable storage medium, on which a rewritable computer program is stored; When the computer program runs on a computer device, the computer device is caused to execute the above-mentioned data analysis method for the residue pollution of a surgical instrument, a medullary cavity expander.

[0030] Each embodiment in the present invention is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0031] The systems and media provided by the embodiments of the present invention correspond one-to-one with the methods. Therefore, the systems and media also have beneficial technical effects similar to those of the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be described herein again.

[0032] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of an all-hardware embodiment, an all-software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0033] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0034] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that realize the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0035] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0036] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0037] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0038] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0039] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for analyzing residual contamination data of surgical instrument medullary cavity expander, characterized in that: The steps include: S1. Acquire the spiral structure data and intraoperative operation data of the medullary cavity expander, and simultaneously acquire the residual detection data of the medullary cavity expander; S2. Analyze the structural contamination invasion degree of the medullary cavity expander based on the spiral structure data and residue detection data; S3. Analyze the dynamic contamination load of the medullary cavity expander based on the spiral structure data and intraoperative operation data; S4. Evaluate the contamination risk of the medullary canal expander residues based on the analysis results of the structural contamination invasion degree and the dynamic contamination load degree of the medullary canal expander; S5. Based on the risk assessment results of the contamination of the medullary canal expander residues, an early warning for replacement of the medullary canal expander is issued.

2. A surgical instrument intramedullary cavity expander residue contamination data analysis method according to claim 1, characterized in that: The step S2 analyzes the structural contamination invasion degree of the medullary cavity expander based on the spiral structure data and the residue detection data, including the following specific steps: S21, extracting the spiral structure data and the residue detection data of the medullary cavity expander; S22. Based on the spiral structure data and the residue detection data, the structural contamination invasion degree of the medullary cavity expander is analyzed to obtain the structural contamination invasion degree analysis result of the medullary cavity expander.

3. A surgical instrument intramedullary enlarger residue contamination data analysis method according to claim 2, characterized in that: The step S22 includes the following specific steps: S221, analyzing the contaminant adhesion strength of the medullary cavity expander based on the spiral structure data and the residue detection data, and obtaining a contaminant adhesion strength analysis result of the medullary cavity expander; S222, analyzing the embedding strength of the contaminants in the groove of the medullary cavity expander based on the spiral structure data and the residue detection data, and obtaining an embedding strength analysis result of the contaminants in the groove of the medullary cavity expander; S223. According to the analysis results of the adhesion strength of the contaminants in the medullary cavity expander and the embedding strength of the contaminants in the grooves of the medullary cavity expander, the structural contamination intrusion degree of the medullary cavity expander is analyzed to obtain the analysis results of the structural contamination intrusion degree of the medullary cavity expander.

4. A surgical instrument intramedullary cavity expander residue contamination data analysis method according to claim 3, characterized in that: The step S3 analyzes the dynamic contamination load of the medullary cavity expander based on the spiral structure data and the intraoperative operation data, including the following specific steps: S31, extracting the spiral structure data and intraoperative operation data of the medullary cavity expander; S32. Analyze the dynamic contamination load level of the medullary cavity expander based on the spiral structure data and the intraoperative operation data to obtain the dynamic contamination load level analysis result of the medullary cavity expander.

5. A surgical instrument intramedullary cavity expander residue contamination data analysis method according to claim 4, characterized in that: The step S32 includes the following specific steps: S321, analyzing the dynamic deposition degree of contaminants in the medullary cavity expander based on the spiral structure data and the intraoperative operation data, and obtaining the dynamic deposition degree analysis result of contaminants in the medullary cavity expander; S322, analyzing the degree of bone chip tissue contamination in the medullary cavity expander based on the spiral structure data and the intraoperative operation data, and obtaining an analysis result of the degree of bone chip tissue contamination in the medullary cavity expander; S323. Analyze the dynamic contamination load level of the medullary cavity expander based on the dynamic deposition level analysis results of the pollutants in the medullary cavity expander and the bone chip tissue contamination level analysis results to obtain the dynamic contamination load level analysis results of the medullary cavity expander.

6. A surgical instrument intramedullary cavity expander residue contamination data analysis method according to claim 5, characterized in that: In step S4, the contamination risk of the residual of the medullary cavity expander is evaluated according to the structural contamination invasion degree analysis result and the dynamic contamination load degree analysis result of the medullary cavity expander, and the specific steps are as follows: S41, extracting and analyzing the structural contamination invasion degree analysis results and dynamic contamination load degree analysis results of the medullary cavity expander; S42. Based on the results of the structural contamination intrusion degree analysis and the dynamic contamination load degree analysis of the medullary cavity expander, the contamination risk of the medullary cavity expander residues is evaluated to obtain the contamination risk assessment results of the medullary cavity expander residues.

7. A surgical instrument intramedullary cavity expander residue contamination data analysis method according to claim 6, characterized in that: In step S5, according to the risk assessment result of the contamination of the medullary cavity expander residue, an early warning for replacement of the medullary cavity expander is performed, which includes the following specific steps: S51. Obtain the assessed contamination risk assessment results of the medullary cavity expander residues; S52: Preset a contamination risk threshold, and when the contamination risk assessment result of the medullary cavity expander residue is less than the contamination risk threshold, issue a warning for replacement of the medullary cavity expander.

8. A surgical instrument medullary cavity expander residue contamination data analysis system, which is implemented based on a surgical instrument medullary cavity expander residue contamination data analysis method according to any one of claims 1 to 7, characterized in that: The system comprises: A data acquisition module, used to acquire the spiral structure data and intraoperative operation data of the medullary cavity expander, and simultaneously acquire the residual detection data of the medullary cavity expander; A structural contamination invasion degree analysis module is used to analyze the structural contamination invasion degree of the medullary cavity expander based on the spiral structure data and the residue detection data; A dynamic contamination load degree analysis module is used to analyze the dynamic contamination load degree of the medullary cavity expander based on the spiral structure data and intraoperative operation data; The medullary cavity expander contamination risk assessment module is used to assess the contamination risk of the medullary cavity expander residues based on the analysis results of the structural contamination invasion degree and the dynamic contamination load degree of the medullary cavity expander; A replacement warning module is used to issue a replacement warning for the medullary canal expander according to the risk assessment result of the contamination of the medullary canal expander residues; A control module is used to control the operation of the data acquisition module, the structural contamination invasion degree analysis module, the dynamic contamination load degree analysis module, the medullary cavity expander contamination risk assessment module and the replacement warning module.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes a surgical instrument intramedullary expander residue contamination data analysis method as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute a surgical instrument intramedullary cavity expander residue contamination data analysis method as described in any one of claims 1-7.

Images