An implant stability monitoring method, system and electronic device

Abstract

The application discloses a kind of implant stability monitoring method, system and electronic equipment, implant monitoring technical field.Method includes: obtaining the background signal in the preset time period in the preset range of to-be-measured implant;Using clustering algorithm, multiple impact events are clustered, and multiple clusters are obtained;The average amplitude of the signal corresponding to the impact event in each cluster is calculated respectively;The absolute value of the difference between the maximum average amplitude and the reference average amplitude is determined as the discriminant;According to the discriminant, the stability of the to-be-measured implant in the preset time period is determined.The application constructs discriminant by acoustic emission technology and clustering algorithm, and then accurately identifies the implant stability without removing the crown.

Description

Technical Field

[0001] This invention relates to the field of implant monitoring technology, and in particular to an implant stability monitoring method, system and electronic equipment. Background Technology

[0002] The key to successful implant prosthesis is good osseointegration between the implant and the surrounding bone. Long-term monitoring of implant stability helps dentists more accurately control the timing of crown restoration and conduct long-term monitoring after restoration, avoiding excessive load on the implant that could lead to loosening and dislocation, which has significant clinical implications. Resonance Frequency Analysis (RFA) is a novel, non-invasive method for measuring implant stability developed in recent years. It allows for long-term monitoring of implant stability, reflecting the current state of the implant and indicating the next steps in treatment planning, thus possessing high clinical guiding value.

[0003] Resonance frequency analysis (RFA) still has some limitations in measuring implant stability: ① RFA cannot directly reveal the degree of osseointegration; ② RFA values ​​are not universally applicable to all implant systems; ③ Currently, RFA technology can only measure implant mobility at the abutment and implant level. For patients undergoing follow-up examinations after restoration, clinicians need to remove the crown before taking measurements. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, and electronic device for monitoring implant stability, which can accurately identify implant stability without removing the crown.

[0005] To achieve the above objectives, the present invention provides the following solution:

[0006] A method for monitoring implant stability, wherein the monitoring method is applied to an implant stability signal monitoring device, the device comprising: an excitation source and an acoustic emission sensor;

[0007] The emission sensor is used to collect background signals within a preset time period within a preset range of the implant under test; the background signals include parameters of multiple impact events; the impact events are generated by the excitation source continuously emitting acoustic emission signals towards the implant under test; the parameters include the signal amplitude of the impact events;

[0008] The implant stability monitoring method includes:

[0009] Acquire the background signal within a preset time period and within a preset range of the implant to be tested;

[0010] Clustering algorithms are used to cluster the multiple impact events, resulting in multiple clusters.

[0011] Calculate the average amplitude of the signal corresponding to each collision event within each cluster;

[0012] The absolute value of the difference between the maximum average amplitude and the reference average amplitude is determined as the discriminant.

[0013] Based on the discrimination value, the stability of the implant under test is determined within a preset time period.

[0014] Optionally, the parameters may also include the rise time, duration, ring count, and energy of the impact event.

[0015] Optionally, determining the stability of the implant under test within a preset time period based on the discrimination value includes:

[0016] Determine whether the discriminant is greater than the discriminant threshold, and obtain the determination result;

[0017] If the judgment result is yes, then the stability of the implant under test is determined to be abnormal within the preset time period;

[0018] If the judgment result is negative, the stability of the implant under test is determined to be normal within the preset time period.

[0019] Optionally, before acquiring the background signal within a preset time period within a preset range of the implant to be tested, the method further includes:

[0020] Within the preset range of the implant to be tested, acquire historical background signals from multiple historical time periods within the day of implantation of the implant to be tested.

[0021] The baseline average amplitude is determined based on multiple historical background signals.

[0022] Optionally, a reference average amplitude is determined based on multiple historical background signals, including:

[0023] Define any time period as the current historical time period;

[0024] Clustering algorithms are used to cluster multiple collision events corresponding to the current historical time period to obtain multiple current historical clusters;

[0025] The average amplitude of the signal corresponding to each collision event within the current historical cluster is calculated as the current undetermined reference average amplitude.

[0026] By iterating through all historical time periods, multiple undetermined benchmark average amplitudes are obtained;

[0027] The average of multiple undetermined benchmark average amplitudes is determined as the benchmark average amplitude.

[0028] An implant stability monitoring system, comprising:

[0029] The background signal acquisition module is used to acquire the background signal within a preset time period within a preset range of the implant under test; the background signal includes parameters of multiple impact events; the impact events are generated by an excitation source continuously emitting acoustic emission signals towards the implant under test; the parameters include the signal amplitude of the impact events;

[0030] The clustering module is used to perform clustering processing on multiple impact events using a clustering algorithm to obtain multiple clusters;

[0031] The average amplitude determination module is used to calculate the average amplitude of the signal corresponding to each impact event within each cluster.

[0032] The discriminant determination module is used to determine the absolute value of the difference between the maximum average amplitude and the reference average amplitude as the discriminant.

[0033] The stability determination module is used to determine the stability of the implant under test within a preset time period based on the discrimination value.

[0034] An electronic device includes a memory and a processor, the memory storing a computer program and the processor running the computer program to enable the electronic device to perform the implant stability monitoring method.

[0035] Optionally, the memory is a readable storage medium.

[0036] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0037] This invention provides a method, system, and electronic device for monitoring implant stability. Applied to an implant stability signal monitoring device, the method includes: acquiring background signals within a preset time period and within a preset range for the implant under test; using a clustering algorithm to cluster multiple impact events to obtain multiple clusters; calculating the average amplitude of the signals corresponding to the impact events within each cluster; determining the absolute value of the difference between the maximum average amplitude and the baseline average amplitude as a discriminant; and determining the stability of the implant under test within the preset time period based on the discriminant. This invention constructs a discriminant through acoustic emission technology and a clustering algorithm, thereby accurately identifying implant stability without removing the crown. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1This is a flowchart of the implant stability monitoring method in Embodiment 1 of the present invention;

[0040] Figure 2 This is a schematic diagram of the implant stability signal monitoring device in Embodiment 1 of the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] The purpose of this invention is to provide a method, system, and electronic device for monitoring implant stability, which can accurately identify implant stability without removing the crown.

[0043] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0044] Example 1

[0045] like Figure 1 As shown, this embodiment provides a method for monitoring implant stability. The method is applied to an implant stability signal monitoring device, which includes: an excitation source and an acoustic emission sensor. The emission sensor is used to collect background signals within a preset time period within a preset range of the implant under test. The background signal includes parameters of multiple impact events. The impact events are generated by the excitation source continuously emitting acoustic emission signals towards the implant under test. The parameters include the signal amplitude of the impact event. The parameters also include the rise time, duration, ring count, and energy of the impact event.

[0046] Methods for monitoring implant stability include:

[0047] Step 101: Obtain the background signal within a preset time period within a preset range of the implant to be tested.

[0048] Step 102: Use a clustering algorithm to cluster multiple collision events to obtain multiple clusters.

[0049] Step 103: Calculate the average amplitude of the signal corresponding to each cluster collision event.

[0050] Step 104: Determine the absolute value of the difference between the maximum average amplitude and the benchmark average amplitude as the discriminant.

[0051] Step 105: Determine the stability of the implant under test within a preset time period based on the discrimination value.

[0052] Step 105 includes:

[0053] Step 1051: Determine whether the discriminant is greater than the discriminant threshold and obtain the judgment result; if the judgment result is yes, then proceed to step 1052; if the judgment result is no, then proceed to step 1053.

[0054] Step 1052: Determine the stability of the implant under test within a preset time period.

[0055] Step 1053: Determine that the stability of the implant under test is normal within the preset time period.

[0056] Before step 101, the following is also included:

[0057] Step 106: Within the preset range of the implant to be tested, acquire historical background signals for multiple historical time periods within the day of implantation of the implant to be tested.

[0058] Step 107: Determine the baseline average amplitude based on multiple historical background signals.

[0059] Step 107 includes:

[0060] Step 1071: Determine any time period as the current historical time period.

[0061] Step 1072: Using a clustering algorithm, cluster the multiple collision events corresponding to the current historical time period to obtain multiple current historical clusters.

[0062] Step 1073: Calculate the average amplitude of the signal corresponding to each collision event in the current historical cluster as the current undetermined reference average amplitude.

[0063] Step 1074: Traverse all historical time periods to obtain multiple undetermined benchmark average amplitudes.

[0064] Step 1075: Determine the average value of multiple undetermined benchmark average amplitudes as the benchmark average amplitude.

[0065] like Figure 2As shown, in the implant stability signal monitoring device provided by this invention, an acoustic emission sensor is used to collect acoustic emission signals related to the implant state generated by an excitation source; it contains a preamplifier, model VS370-A1, which amplifies the collected signals. The signal acquisition control module sets acquisition parameters, including thresholds; collects acoustic emission signals related to the implant state; extracts the parameters needed for calculation from the acoustic emission signals; and transmits the extracted parameters to the storage module for storage. The threshold should not be set too high, as this can easily lead to the loss of effective signals. It is generally set to 40dB. The signal storage module stores the collected acoustic emission signal parameters. The signal analysis and display module uses cluster analysis to analyze the signals, calculates statistical indices of the acoustic emission signal parameters, and evaluates the implant state.

[0066] Before the experiment, the sensor was fixed to the soft tissue surface near the implant using a fixation device; a 2-minute background signal was collected using an acoustic emission system to determine the background noise level, and then a threshold value was determined to be greater than the amplitude of the background signal; at least 1000 acoustic emission impact events were generated using an excitation source, and the impact events caused by the excitation source were collected using an acoustic emission system to obtain the parameter values ​​of each impact event; the statistical indicators of the impact event parameter values ​​were analyzed to evaluate the implant status.

[0067] The data processing for implant status determination mainly consists of the following two steps:

[0068] First, the k-means algorithm is used to classify acoustic emission impact events. The optimal number of clusters in the k-means algorithm is determined by the elbow rule. The parameters used for classification of acoustic emission impact events include: amplitude, rise time, duration, ring count, and energy. The parameter values ​​need to be normalized before classification.

[0069] Second, the status of the implant is assessed using the cluster with the largest average amplitude. The average amplitude of the signal within the cluster is calculated and compared with the average amplitude of the signal collected on the day of implantation. If the difference is less than 0.3 dB, the implant integration is considered good. If the difference is greater than 0.3 dB but less than or equal to 1 dB, the implant integration is considered average. If the difference is greater than 1 dB, the implant integration is considered poor.

[0070] The results of the acoustic emission test are shown in Table 1.

[0071] Table 1. Results of Acoustic Emission Test

[0072]

[0073] It is evident that acoustic emission (AE) technology has the following three advantages compared to resonant frequency analysis: ① AE technology has a more accurate and direct ability to characterize osseointegration; ② Monitoring implant stability using AE technology does not require removal of the crown, which facilitates long-term monitoring after crown restoration; ③ AE technology can be applied to different implant systems.

[0074] Extensive experience has been accumulated in material characterization based on acoustic emission technology, and preliminary explorations have been conducted on monitoring the degree of osseointegration of implants using this technology. Using a VS370 sensor, acoustic emission signals were collected at different stages post-implantation, and the characteristics of signal amplitude and energy were analyzed. This confirmed a correlation between the amplitude and energy of the acoustic emission signal and the degree of implant integration: as the degree of osseointegration increases, the average amplitude and average energy of acoustic emission signals with an amplitude >= 90 dB increase. Under certain experimental conditions, higher amplitude and energy of the acoustic emission signal indicate better osseointegration. This correlation provides feasibility for judging the degree of osseointegration based on the characteristics of acoustic emission signals and has good translational potential.

[0075] Example 2

[0076] In order to perform the method corresponding to Embodiment 1 above and achieve the corresponding functions and technical effects, an implant stability monitoring system is provided below, including:

[0077] The background signal acquisition module is used to acquire the background signal within a preset time period within a preset range of the implant under test. The background signal includes parameters of multiple impact events. The impact events are generated by the excitation source continuously emitting acoustic emission signals towards the implant under test. The parameters include the signal amplitude of the impact events.

[0078] The clustering module is used to cluster multiple collision events using clustering algorithms to obtain multiple clusters.

[0079] The average amplitude determination module is used to calculate the average amplitude of the signal corresponding to each impact event within each cluster.

[0080] The discriminant determination module is used to determine the absolute value of the difference between the maximum average amplitude and the reference average amplitude as the discriminant.

[0081] The stability determination module is used to determine the stability of the implant under test within a preset time period based on the discrimination value.

[0082] Example 3

[0083] This embodiment provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor runs the computer program to enable the electronic device to perform the implant stability monitoring method described in Embodiment 1. The memory is a readable storage medium.

[0084] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0085] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for monitoring implant stability, characterized in that, The implant stability monitoring method is applied to an implant stability signal monitoring device, which includes an excitation source and an acoustic emission sensor; the acoustic emission sensor is a dedicated acoustic emission sensor of model VS370-A1 with a built-in preamplifier, fixed near the soft tissue surface on one side of the implant, and the signal acquisition threshold is set to 40dB; The emission sensor is used to collect background signals within a preset time period within a preset range of the implant under test; the background signal includes parameters of multiple impact events; the impact events are generated by the excitation source continuously emitting acoustic emission signals towards the implant under test; the parameters include the signal amplitude of the impact event; the excitation source generates no less than 1000 acoustic emission impact events; The implant stability monitoring method includes: Within the preset range of the implant to be tested, acquire historical background signals from multiple historical time periods within the day of implantation of the implant to be tested. Determining the baseline average amplitude based on multiple historical background signals includes: determining any time period as the current historical time period; using a clustering algorithm to cluster multiple impact events corresponding to the current historical time period to obtain multiple current historical clusters; calculating the average amplitude of the signal corresponding to the impact event within each current historical cluster as the current undetermined baseline average amplitude; traversing all historical time periods to obtain multiple undetermined baseline average amplitudes; and determining the average of the multiple undetermined baseline average amplitudes as the baseline average amplitude. Acquire the background signal within a preset time period and within a preset range of the implant to be tested; The K-means clustering algorithm was used to cluster the multiple impact events. The optimal number of clusters was determined by the elbow rule. Before clustering, all parameters were normalized to obtain multiple clusters. Calculate the average amplitude of the signal corresponding to each collision event within each cluster; The absolute value of the difference between the maximum average amplitude and the reference average amplitude is determined as the discriminant. Determining the stability of the implant under test within a preset time period based on the discrimination value includes: determining whether the discrimination value is greater than a discrimination value threshold to obtain a judgment result; if the judgment result is yes, then the stability of the implant under test within the preset time period is determined to be abnormal; if the judgment result is no, then the stability of the implant under test within the preset time period is determined to be normal.

2. The implant stability monitoring method according to claim 1, characterized in that, The parameters also include the rise time, duration, ring count, and energy of the impact event.

3. An implant stability monitoring system, characterized in that, The system employs the implant stability monitoring method as described in any one of claims 1-2, and the system comprises: The background signal acquisition module is used to acquire the background signal within a preset time period within a preset range of the implant under test; the background signal includes parameters of multiple impact events; the impact events are generated by an excitation source continuously emitting acoustic emission signals towards the implant under test; the parameters include the signal amplitude of the impact events; The clustering module is used to perform clustering processing on multiple impact events using a clustering algorithm to obtain multiple clusters; The average amplitude determination module is used to calculate the average amplitude of the signal corresponding to each impact event within each cluster. The discriminant determination module is used to determine the absolute value of the difference between the maximum average amplitude and the reference average amplitude as the discriminant. The stability determination module is used to determine the stability of the implant under test within a preset time period based on the discrimination value.

4. An electronic device, characterized in that, The device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform an implant stability monitoring method according to any one of claims 1 to 2.

5. An electronic device according to claim 4, characterized in that, The memory is a readable storage medium.

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