An ultrasonic scalpel fracture anomaly warning method, system, device and medium

Abstract

The present application provides a method, a system, a device and a medium for early warning of abnormal breakage of an ultrasonic scalpel. The method includes: performing an unloaded excitation test on the ultrasonic scalpel, and after the test passes, exciting the ultrasonic scalpel for cutting output; obtaining the impedance volatility and the phase difference volatility during the excitation of the ultrasonic scalpel, identifying abnormal breakage of the ultrasonic scalpel according to the impedance volatility and the phase difference volatility, and after identifying abnormal breakage, re-performing the unloaded excitation test on the ultrasonic scalpel to continue the cutting output after the test passes until the number of identified abnormal breakage times exceeds a preset breakage number threshold, stopping exciting the ultrasonic scalpel, and outputting corresponding abnormal warning information. The present application combines the characteristics of the ultrasonic scalpel to perform early warning in different degrees, which can effectively ensure the high availability of the ultrasonic scalpel.

Description

Technical Field

[0001] The present application relates to the application field of intelligent medical devices, and in particular to a method, system, device and medium for warning abnormal fracture of an ultrasonic scalpel. Background Art

[0002] The ultrasonic scalpel is a common surgical scalpel, characterized by minimal trauma, low smoke production, and the ability to coagulate blood. It is widely used in surgical procedures. Its operating principle is that the ultrasonic scalpel generates energy output at a certain frequency, which is converted by the transducer into mechanical longitudinal waves of the same frequency. This vibration drives the ultrasonic scalpel tip, which has a high frequency and low amplitude, resulting in a cutting and coagulation effect on small areas of human tissue.

[0003] The transducer itself has a fixed resonant frequency. When the driving frequency operates at the resonant frequency of the transducer, the ultrasonic scalpel can operate most stably and efficiently. Since the resonant frequency of the ultrasonic transducer changes with factors such as temperature, environment, and aging of components, the working efficiency of the transducer is reduced. At the same time, if the ultrasonic scalpel head operates at a non-resonant point for a long time, it will accelerate the aging of the scalpel head metal and cause breakage or cracks, affecting surgical safety. The current method used in the industry to detect scalpel head fractures during surgery is to establish a test database and then identify broken scalpels through feature matching. Due to the different locations of broken scalpels, different cracks, and different degrees of broken scalpels, there are often feature deviations. Therefore, the detection accuracy of broken scalpels during surgery is generally not high, which affects surgical efficiency and safety. Summary of the Invention

[0004] In view of the above problems existing in the existing technology, this application proposes an ultrasonic knife fracture abnormal warning method, system, equipment and medium, which mainly solves the problem that the existing ultrasonic knife abnormal warning does not take into account the characteristics of the ultrasonic knife itself and the broken knife identification is not accurate enough.

[0005] In order to achieve the above-mentioned objectives and other objectives, the technical solutions adopted in this application are as follows.

[0006] The present application provides a method for early warning of abnormal ultrasonic scalpel fracture, comprising:

[0007] Performing a no-load excitation test on the ultrasonic knife, and stimulating the ultrasonic knife to perform cutting output after the test passes;

[0008] The impedance fluctuation rate and phase difference fluctuation rate of the ultrasonic scalpel during the excitation process are obtained, and the ultrasonic scalpel is identified for fracture abnormality according to the impedance fluctuation rate and the phase difference fluctuation rate. After the fracture abnormality is identified, the ultrasonic scalpel is re-submitted for the no-load excitation test to continue the cutting output after the test is passed, until the number of identified fracture abnormalities exceeds the preset fracture number threshold, then the ultrasonic scalpel is stopped from being excited and the corresponding abnormality warning information is output.

[0009] In one embodiment of the present application, a no-load excitation test is performed on the ultrasonic scalpel, including:

[0010] Inputting a preset control current in the ultrasonic scalpel no-load state to stimulate the ultrasonic scalpel to operate at no-load;

[0011] The resonant frequency of the ultrasonic scalpel in the no-load state is obtained. If the resonant frequency meets the preset resonant frequency range, the test passes.

[0012] In one embodiment of the present application, obtaining the impedance fluctuation rate and the phase difference fluctuation rate during the excitation process of the ultrasonic scalpel, and identifying the abnormal fracture of the ultrasonic scalpel according to the impedance fluctuation rate and the phase difference fluctuation rate, includes:

[0013] Weighting the impedance fluctuation rate and the phase difference fluctuation rate according to a preset weighting coefficient to obtain a weighted value;

[0014] If the weighted value exceeds a preset threshold, a fracture anomaly is output.

[0015] In one embodiment of the present application, after re-performing the no-load excitation test on the ultrasonic scalpel, the method further includes:

[0016] Obtaining the excitation time from when the ultrasonic scalpel restarts cutting output to when a fracture abnormality is recognized again;

[0017] If the duration of two adjacent excitations is relatively short, the number of fracture anomalies will accumulate once.

[0018] In one embodiment of the present application, obtaining the excitation time from when the ultrasonic scalpel resumes cutting output to when a fracture abnormality is recognized again further includes:

[0019] The excitation durations of different preset excitation levels of the ultrasonic scalpel are respectively obtained, and the number of fracture anomalies is accumulated independently at each preset excitation level based on its own excitation duration.

[0020] In one embodiment of the present application, after the preset excitation levels independently accumulate the number of fracture anomalies based on their respective excitation durations, the following steps are further included:

[0021] The accumulated number of abnormal fractures of each of the excitation gears is compared with the respective fracture number thresholds, and abnormal warning information of the corresponding excitation gear is output, wherein the output of the abnormal warning information of each excitation gear is independent of each other.

[0022] In one embodiment of the present application, each preset excitation level independently accumulates the number of fracture anomalies based on its own excitation duration, including:

[0023] Every time a fracture anomaly is identified, an anomaly flag is generated, the excitation process is cut off, and a prompt message is output to the target terminal;

[0024] The number of abnormal fractures is accumulated based on the abnormality flag to obtain the number of abnormal fractures corresponding to the excitation gear.

[0025] An ultrasonic scalpel fracture abnormality warning system, comprising:

[0026] A test module, used to perform a no-load excitation test on the ultrasonic knife, and stimulate the ultrasonic knife to perform cutting output after the test passes;

[0027] The abnormal warning module is used to obtain the impedance fluctuation rate and phase difference fluctuation rate during the excitation process of the ultrasonic knife, identify the fracture abnormality of the ultrasonic knife based on the impedance fluctuation rate and the phase difference fluctuation rate, and after identifying the fracture abnormality, re-perform the no-load excitation test on the ultrasonic knife to continue the cutting output after the test passes, until the number of identified fracture abnormalities exceeds the preset fracture number threshold, then stop exciting the ultrasonic knife and output corresponding abnormal warning information.

[0028] A computer device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the ultrasonic scalpel fracture abnormality warning method when executing the computer program.

[0029] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the ultrasonic scalpel fracture abnormality warning method.

[0030] As described above, the present application provides an ultrasonic knife fracture abnormality warning method, system, device and medium, which have the following beneficial effects.

[0031] The present application performs a no-load excitation test on the ultrasonic knife, and after the test passes, the ultrasonic knife is excited to perform cutting output; the impedance fluctuation rate and the phase difference fluctuation rate of the ultrasonic knife during the excitation process are obtained, and the ultrasonic knife is subjected to the fracture abnormality identification according to the impedance fluctuation rate and the phase difference fluctuation rate. After the fracture abnormality is identified, the ultrasonic knife is subjected to the no-load excitation test again, so as to continue to perform cutting after the test passes.

[0032] The ultrasonic scalpel outputs a cut signal until the number of identified fracture anomalies exceeds a preset fracture threshold, at which point the scalpel stops activating and outputs a corresponding abnormality warning message. This application performs a no-load excitation test after identifying a fracture anomaly. Taking into account the self-healing characteristics of the ultrasonic scalpel, the normal use of surgical cutting is ensured without over-excitation, thereby improving the usability of the ultrasonic scalpel. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 Schematic diagram of the process of the ultrasonic knife fracture abnormality warning method in one embodiment of the present application.

[0034] Figure 2 This is a flow chart of an ultrasonic scalpel fracture abnormality identification method using impedance and phase difference in accordance with an embodiment of the present application.

[0035] Figure 3 This is a schematic diagram of the overall process of ultrasonic knife fracture warning in another embodiment of the present application.

[0036] Figure 4 This is a module diagram of an ultrasonic knife fracture abnormality warning system in one embodiment of the present application.

[0037] Figure 5 This is a schematic structural diagram of a device in one embodiment of the present application.

[0038] Figure 6 Schematic diagram of the structure of the ultrasonic knife system in one embodiment of the present application. DETAILED DESCRIPTION

[0039] The following describes the implementation of the present application through specific examples. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification.

[0040] In addition, different specific implementation methods may be implemented or applied, and the details in this specification may also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.

[0041] It should be noted that the diagrams provided in the following embodiments are only for schematically illustrating the basic concept of the present application, and thus the diagrams only show components related to the present application rather than the number of components in actual implementation.

[0042] The structure, shape and size of the components are drawn, but in actual implementation, the type, quantity and proportion of each component can be changed arbitrarily, and the component layout may also be more complicated.

[0043] Ultrasonic scalpel fracture abnormalities primarily occur when the ultrasonic scalpel tip operates at a non-resonant point for a long period of time or is improperly operated, resulting in irregular cracks of varying depths in the metal scalpel tip at the point where lateral vibration stress is concentrated, thereby reducing or even eliminating the ultrasonic scalpel's cutting and hemostatic effectiveness. Currently, the industry's most common method for detecting scalpel tip fractures during surgery involves establishing a test database and then identifying broken blades through feature matching. However, due to the varying locations, cracks, and severity of the broken blades, there are often feature deviations. Therefore, the accuracy of scalpel tip fracture detection during surgery is generally low, impacting surgical efficiency and safety.

[0044] Based on the above problems existing in the prior art, the present application proposes a method and system for early warning of abnormal ultrasonic scalpel fracture. The present application scheme is described in detail below with reference to specific embodiments.

[0045] See also Figure 1 The present application provides a method for early warning of abnormal ultrasonic scalpel fracture, which includes the following steps:

[0046] Step S100, performing a no-load excitation test on the ultrasonic scalpel, and stimulating the ultrasonic scalpel to perform cutting output after the test passes;

[0047] Step S110, obtaining the impedance fluctuation rate and phase difference fluctuation rate during the excitation process of the ultrasonic scalpel, identifying the fracture abnormality of the ultrasonic scalpel based on the impedance fluctuation rate and the phase difference fluctuation rate, and after identifying the fracture abnormality, re-performing the no-load excitation test on the ultrasonic scalpel to continue executing the cutting output after the test passes, until the number of identified fracture abnormalities exceeds the preset fracture number threshold, then stop exciting the ultrasonic scalpel and output corresponding abnormal warning information.

[0048] In step S100, a no-load excitation test is performed on the ultrasonic knife, and after the test passes, the ultrasonic knife is excited to perform cutting output.

[0049] In one embodiment, before starting the ultrasonic scalpel to perform surgery, a no-load excitation test may be performed on the ultrasonic scalpel to ensure that the ultrasonic scalpel can operate within the set resonant frequency range.

[0050] In one embodiment, performing a no-load excitation test on the ultrasonic scalpel includes:

[0051] Inputting a preset control current in the ultrasonic scalpel no-load state to stimulate the ultrasonic scalpel to operate at no-load;

[0052] The resonant frequency of the ultrasonic scalpel in the no-load state is obtained. If the resonant frequency meets the preset resonant frequency range, the test passes.

[0053] Specifically, when the ultrasonic scalpel is in a no-load state, a preset control current is input to excite the ultrasonic scalpel and lock the resonant frequency of the ultrasonic scalpel in the no-load state. If the ultrasonic scalpel can reach the set no-load resonant frequency or the set resonant frequency range, it is considered that the ultrasonic scalpel can continue to be used and the test passes.

[0054] In step S110, the impedance fluctuation rate and phase difference fluctuation rate of the ultrasonic scalpel during the excitation process are obtained, and the ultrasonic scalpel is identified for fracture abnormality based on the impedance fluctuation rate and the phase difference fluctuation rate. After the fracture abnormality is identified, the ultrasonic scalpel is re-submitted to the no-load excitation test to continue the cutting output after the test passes, until the number of identified fracture abnormalities exceeds the preset fracture number threshold, then the ultrasonic scalpel is stopped from being excited and the corresponding abnormality warning information is output.

[0055] In one embodiment, obtaining the impedance fluctuation rate and the phase difference fluctuation rate during the excitation process of the ultrasonic scalpel, and identifying the abnormal fracture of the ultrasonic scalpel according to the impedance fluctuation rate and the phase difference fluctuation rate, includes:

[0056] Weighting the impedance fluctuation rate and the phase difference fluctuation rate according to a preset weighting coefficient to obtain a weighted value;

[0057] If the weighted value exceeds a preset threshold, a fracture anomaly is output.

[0058] In one embodiment, the prior art (CN112754604B) also discloses a voltage sampling and conversion module connected to the programmable logic module, the output end of the power amplifier circuit connected to the current sampling and conversion module, the current sampling and conversion module connected to the programmable logic module, and the programmable logic module connected to the digital signal processor. A voltage and current acquisition module can be constructed using a field programmable gate array (FPGA). Based on the voltage and current acquisition module, the voltage A / D sampling value and the current A / D sampling value of the drive output end of the ultrasonic scalpel host driver circuit are collected. Since the voltage A / D sampling value refers to the voltage obtained by voltage division and is not the actual measured voltage value required, it is necessary to multiply the voltage A / D sampling value with a reference voltage value to obtain the output voltage of the ultrasonic scalpel driver host. Similarly, the current A / D sampling value is multiplied with a reference current value to obtain the output current of the ultrasonic scalpel driver host. The specific reference voltage value and reference current value can be determined based on the hardware design parameters of the drive circuit of the ultrasonic scalpel driver host, and are not limited here. After obtaining the output voltage and output current, the phase difference between the output voltage and output current can be calculated.

[0059] In one embodiment, the phase difference fluctuation rate is used to characterize the degree to which the instantaneous phase difference deviates from the center during the ultrasonic scalpel excitation light process. The phase differences at different time nodes calculated in the above steps can be sampled by a sliding window. Specifically, the phase difference fluctuation rate can be obtained by using three-point dynamic sliding window data acquisition. Volatility Where Yi is the current sampling point data within the sliding window, Z is the mean of the data within the sliding window, Sum[] is the summation, and Sqrt[] is the square root. This example uses three sampling points. The specific number of sampling points can be adjusted based on actual sampling requirements. For example, the number of sampling points within the sliding window can be set to [2, 5]. In practice, if the number of points is too small, the data misjudgment rate will increase, while if it is too large, the data validity of the fluctuation judgment will be reduced. Therefore, a reasonable value can ensure the validity of subsequent data calculations. Taking three-point sliding window sampling as an example, the sampled data is represented as: A0{a1, a2, a3}, A1{a2, a3, a4}, A2{a3, a4, a5}, representing the sliding window data for three consecutive sampling periods. It is important to note that the starting data point for phase difference volatility calculation must be the third point (for five-point sampling, the fifth point). By calculating the variance of the sampled data within each sliding window group, the phase difference offset from the sliding window center point is obtained, which is the phase difference volatility of the corresponding sliding window. In this way, multiple phase difference fluctuation rates can be obtained through continuous sampling.

[0060] In one embodiment, the phase difference fluctuation rate obtained in the above steps can be Phase difference fluctuation rate threshold For comparison, when the phase difference volatility is less than the phase difference volatility threshold, continue to calculate the volatility mean The phase difference fluctuation mean is the average of the phase difference fluctuations accumulated before the phase difference volatility threshold is triggered, which can be expressed as:

[0061] Ultrasonic scalpel fracture abnormality identification can be performed based on the phase difference fluctuation rate combined with the impedance fluctuation rate. The ultrasonic scalpel impedance value can be calculated based on the output voltage and output current obtained in the above steps. Ultrasonic scalpel impedance value Ω = UO / IO, where UO is the drive output voltage = the A / D sampling value of the ultrasonic scalpel host drive output terminal voltage * the reference voltage value Uref; IO is the drive output current = the A / D sampling value of the ultrasonic scalpel host drive output terminal current * the reference current value Iref. The specific reference voltage value and reference current value can be determined based on the hardware design parameters of the drive circuit of the ultrasonic scalpel drive host, and are not limited here.

[0062] When the ultrasonic scalpel is first activated, there's a significant gap between the driving frequency and the resonance point of the ultrasonic scalpel transducer gripping the tissue. This creates a high impedance. Sampling and calculations must be performed only after the impedance falls within a certain range to ensure data accuracy in subsequent calculations. A sampling threshold can be pre-set to ensure the ultrasonic scalpel is operating in a steady state. Only impedances meeting this threshold can be used for subsequent sampling and calculations.

[0063] In one embodiment, the ultrasonic scalpel impedance value at a corresponding time point can be calculated based on the ratio of the output voltage to the output current. The average impedance value is calculated by accumulating and averaging the ultrasonic scalpel impedance values ​​at each time point. The average impedance value can be expressed as: Ωa = Sum[Ω1 + ... + Ωn] / n.

[0064] See also Figure 2 , a flow chart illustrating an ultrasonic scalpel fracture anomaly identification process combining impedance and phase difference in one embodiment of the present application. By setting an impedance threshold Z0, if the ultrasonic scalpel impedance Zi is less than Z0, the ultrasonic scalpel is considered to be operating in a steady state, and the ultrasonic scalpel impedance value can be sampled.

[0065] In one embodiment, an impedance threshold Za can be set, and the phase difference fluctuation rate weighting coefficient and the impedance fluctuation rate weighting coefficient can be determined based on the impedance threshold Za. A mapping relationship between impedance values ​​and weighting coefficients can be pre-established. When the ultrasonic scalpel impedance value is greater than Za, one set of weighting coefficients is used, and when the ultrasonic scalpel impedance value is less than Za, another set of weighting coefficients is used. This ensures the accuracy of ultrasonic scalpel fracture anomaly identification under different impedance conditions.

[0066] In one embodiment, the impedance fluctuation rate σ characterizes the degree to which the instantaneous impedance deviates from the center during the ultrasonic knife excitation process. This method uses three-point dynamic sliding window data acquisition to obtain the impedance fluctuation rate, and the fluctuation rate σ = Sqrt[Sum[(Yi-Z)2] / 3], where Yi is the current sampling point data in the sliding window, Z is the mean of the data in the sliding window, Sum[] is the sum, and Sqrt[] is the square root. It should be noted that the number of sampling points of the dynamic sliding window is not limited to three points, and can be appropriately adjusted according to the actual sampling period. The adjustment range is [2, 5]. In practice, if the number of points is too small, the data misjudgment rate will increase, and if it is too large, the data validity of the fluctuation judgment will be reduced. An example of three-point sliding window sampling: A0{a1, a2, a3}, A1{a2, a3, a4}, A2{a3, a4, a5}, represents the sliding window data of three consecutive sampling cycles. It should be noted that the starting data point for impedance fluctuation calculation must be the third point (if five-point sampling, it must be the fifth point).

[0067] In one embodiment, the impedance volatility mean σa is the mean of the cumulative volatility before the impedance volatility threshold is triggered, that is, σa = Sum[σ1+…+σn] / n. The impedance mean Ωa is the mean of the cumulative impedance values ​​before the impedance volatility threshold is triggered, that is, Ωa = Sum[Ω1+…+Ωn] / n.

[0068] In one embodiment, when the impedance volatility σ is less than the impedance volatility threshold σ0, the mean value of the impedance volatility σa and the mean value of the impedance Ωa are continuously calculated. When the impedance volatility σ is greater than the impedance volatility threshold σ0, it is determined that the mean value of the volatility σa >= the preset impedance volatility mean threshold σ1 and the mean value of the impedance Ωa >= the preset impedance mean threshold Ω1, then the outlier S1 is configured as 1. Similarly, when determining the abnormality of the ultrasonic scalpel through the mean value of the phase difference volatility and the mean value of the impedance, the outlier S2 is configured as 1. The outliers S1 and S2 during the abnormality are weighted according to the weighting coefficients determined in the foregoing steps to obtain a weighted value, and the ultrasonic scalpel fracture is identified based on the weighted value.

[0069] In one embodiment, according to the different influence weights of the impedance volatility and the phase difference volatility in different stages during the excitation process on the broken tool recognition, when the impedance Zi of the ultrasonic scalpel is < Za, the second impedance volatility weighting coefficient PZ = yz2, and the phase difference volatility weighting coefficient PP = yp2; when the impedance Zi of the ultrasonic scalpel >= Za, the impedance volatility weighting coefficient PZ = yz1, and the phase difference volatility weighting coefficient PP = yp1. Among them, yz1 + yp1 = 1, yz2 + yp2 = 1, yz1 >= (M * yz2), yp2 >= (N * yp1), M, N ∈ [2, 5]. The determination threshold St ∈

[0070] [(1 - (1 / (1 + max(M, N)))), 1].

[0071] The weighted value is compared with the determination threshold St. If the weighted value is greater than or equal to St, the ultrasonic scalpel fracture abnormality is calibrated; otherwise, it is calibrated that the load on the ultrasonic scalpel head is too heavy.

[0072] After completing the recognition of the ultrasonic scalpel fracture abnormality based on the above steps, if the ultrasonic scalpel fracture abnormality is recognized, an indication flag F1 for early warning judgment can be generated, the excitation process of the ultrasonic scalpel is cut off, and the abnormality of the ultrasonic scalpel head is output, and it is necessary to re - conduct the no - load excitation test.

[0073] In one embodiment, after re - conducting the no - load excitation test on the ultrasonic scalpel, it further includes:

[0074] Obtaining the excitation duration from when the ultrasonic scalpel starts cutting again until the next recognition of the fracture abnormality;

[0075] If the excitation duration between two adjacent excitations is relatively shortened, the number of fracture abnormalities is accumulated once.

[0076] Specifically, after re - conducting the no - load excitation test, if the test fails, a tool - head fracture flag Fb is generated. If the test passes, the ultrasonic scalpel is re - excited for cutting output, and the duration from the start of exciting the ultrasonic scalpel to the next recognition of the ultrasonic scalpel fracture abnormality is calculated as the excitation duration.

[0077] In one embodiment, obtaining the excitation time from when the ultrasonic scalpel restarts cutting output to when the fracture abnormality is recognized again also includes: obtaining the excitation time of different preset excitation levels of the ultrasonic scalpel respectively, and each preset excitation level independently accumulates the number of fracture abnormalities based on its own excitation time.

[0078] Specifically, since the ultrasonic scalpel system adopts a constant current control output, different excitation gears of the ultrasonic scalpel can be set based on the difference in the excitation current size, and each excitation gear corresponds to an excitation current or corresponds to an excitation current in a certain range of sizes. For example, it can be assumed that the ultrasonic scalpel excitation gear includes 5 gears from P1 to P5, and the excitation duration is calculated separately for each gear. If the five excitation gears all identify the fracture abnormality again, the corresponding excitation duration can be expressed as T1_1-T5_1. After the fracture abnormality is identified, the excitation process is cut off again, prompting that the blade is abnormal and needs to pass the no-load excitation test again.

[0079] If the no-load excitation test fails, the ultrasonic scalpel fracture flag Fb is generated. If the test passes, the excitation durations for the different excitation levels are calculated again, yielding T1_2 - T5_2. If T1_2 <= T1_1, the blade fracture flag Fb is generated. Similarly, if T2_2 <= T2_1, the blade fracture flag Fb is generated; if T3_2 <= T3_1, the blade fracture flag Fb is generated; if T4_2 <= T4_1, the blade fracture flag Fb is generated; and if T5_2 <= T5_1, the blade fracture flag Fb is generated. The excitation duration comparison process for each excitation level is independent and does not interfere with each other. Each time a fracture flag Fb is received, the number of fracture anomalies is accumulated.

[0080] In one embodiment, after the preset excitation gears accumulate the number of fracture abnormalities independently based on their respective excitation durations, it also includes: comparing the number of fracture abnormalities accumulated by each of the excitation gears with their respective fracture number thresholds, and outputting abnormal warning information corresponding to the excitation gear, wherein the output of the abnormal warning information of each of the excitation gears is independent of each other.

[0081] In one embodiment, if the blade of an ultrasonic scalpel breaks during surgical excitation, it usually manifests as internal cracks of different lengths and different rules at the molecular level, which is functionally manifested as a deviation of the resonance point from the design, resulting in no cutting effect or reduced cutting efficiency. At the same time, when the excitation power output is low and the fracture crack is short, the broken blade has the characteristic of "self-healing", that is, when not over-excited, the blade becomes uniform, and the optimal tuning system is consistent with the design. Based on the self-healing characteristics of the ultrasonic scalpel, different fracture number thresholds can be set for different excitation gears. For example, the fracture numbers corresponding to the five gears are N1-N5, and the values ​​of N1, N2, N3, N4, and N5 can be set to 5, 4, 3, 2, and 1. The specific values ​​can be set according to the actual application requirements and are not limited here.

[0082] In one embodiment, if the number of abnormal fractures at a corresponding activation level exceeds a corresponding fracture threshold, current for that activation level is no longer supplied to the ultrasonic scalpel system. Each activation level is independently determined, and even if one or more activation levels are forcibly disabled, the remaining activation levels can still be used normally, ensuring the availability of the ultrasonic scalpel during surgery.

[0083] In one embodiment, each preset excitation level independently accumulates the number of fracture anomalies based on its own excitation duration, including:

[0084] Every time a fracture anomaly is identified, an anomaly flag is generated, the excitation process is cut off, and a prompt message is output to the target terminal;

[0085] The number of abnormal fractures is accumulated based on the abnormality flag to obtain the number of abnormal fractures corresponding to the excitation gear.

[0086] Each time a fracture anomaly is detected, an anomaly flag, such as F1 and Fb, is generated. F1 is used as the starting point for the count, and the number of fracture anomalies is accumulated. Each time Fb is generated, the number of fracture anomalies is incremented by 1, resulting in a cumulative result. The target terminal can be any terminal with a display function, such as a display screen, tablet, or computer.

[0087] In one embodiment, see Figure 3 , Figure 3 This is a schematic diagram of the overall process of ultrasonic scalpel breakage warning in another embodiment of the present application. When the cutting excitation process detects a broken scalpel abnormality, a warning judgment start flag F1 is generated, and the excitation process is terminated, indicating that the scalpel head is abnormal and needs to go through the test process again.

[0088] After obtaining the F1 flag, if the test process fails, the tool head breakage flag Fb is generated. If the test process passes, the time required to trigger the tool head breakage warning again begins to accumulate (each triggering level accumulates separately, T1_1 to T5_1). The warning advanced flag F2 is generated. The triggering process is terminated, indicating that the tool head is abnormal and needs to pass the test process again.

[0089] After obtaining the warning advanced flag F2, if the test process fails, the tool head break flag Fb is generated; if the test process passes, the accumulation of the tool head break warning excitation time T1_2~T5_2 begins. If the excitation time is less than or equal to the accumulated excitation time of the previous cycle, it is determined to be a tool head break Fb, that is, T1_2<=T1_1, and the tool head break flag Fb is generated. Similarly, T2_2<=T2_1, the tool head break flag Fb is generated, T3_2<=T3_1, the tool head break flag Fb is generated, T4_2<=T4_1, the tool head break flag Fb is generated, T5_2<=T5_1, the tool head break flag Fb is generated. If the activation time is less than or equal to the accumulated activation time of the previous cycle, the cycle will be repeated with the accumulated warning times Na. The warning times thresholds N1 to N5 are set for each gear. If the times exceed the threshold, a tool head breakage flag Fb is generated (i.e., Na>=6-Nx, where Nx is the current activation gear and is one of N1-N5). Otherwise, the cycle will be repeated. Based on the characteristics of tool breakage cracks, N1, N2, N3, N4, and N5 are usually set to 5, 4, 3, 2, and 1. The warning times begin to accumulate after the host receives the F1 flag.

[0090] Based on the above technical solutions, the fracture abnormality identification of this application mainly identifies the abnormal fracture of the blade during the surgical excitation process, but according to the different fracture degrees, the blade may still have a cutting effect at low excitation power output. In order to ensure surgical safety and efficiency, it is necessary to further warn of the degree of blade fracture, and when it reaches a certain degree, it is mandatory to prohibit the replacement of the blade during surgery. The technical solution of this application fully considers the self-healing characteristics of the ultrasonic scalpel and provides warnings according to the degree, which can guarantee the availability of the ultrasonic scalpel to the greatest extent.

[0091] See also Figure 4 This embodiment provides an ultrasonic scalpel fracture anomaly warning system for executing the ultrasonic scalpel fracture anomaly warning method described in the aforementioned method embodiment. Because the technical principles of the system embodiment are similar to those of the aforementioned method embodiment, the same technical details will not be repeated here.

[0092] In one embodiment, an ultrasonic scalpel fracture abnormality warning system includes: a test module 10, used to perform a no-load excitation test on the ultrasonic scalpel, and stimulate the ultrasonic scalpel to perform cutting output after the test passes; an abnormality warning module 11, used to obtain the impedance fluctuation rate and the phase difference fluctuation rate during the excitation process of the ultrasonic scalpel, and identify the fracture abnormality of the ultrasonic scalpel according to the impedance fluctuation rate and the phase difference fluctuation rate. After the fracture abnormality is identified, the no-load excitation test is performed on the ultrasonic scalpel again to continue to execute the cutting output after the test passes, until the number of identified fracture abnormalities exceeds a preset fracture number threshold, then the ultrasonic scalpel is stopped from being excited and the corresponding abnormality warning information is output.

[0093] The present application also provides an ultrasonic scalpel fracture abnormality warning device, which may include: one or more processors; and one or more machine-readable media having instructions stored thereon, which, when executed by the one or more processors, enable the device to execute Figure 1 In practical applications, the device can be used as a terminal device or a server. Examples of terminal devices may include: an ultrasonic scalpel host, a smart phone, a tablet computer, an e-book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop computer, a car computer, a desktop computer, a set-top box, a smart TV, a wearable device, etc. The embodiments of the present application do not limit the specific devices.

[0094] The present application also provides a computer-readable storage medium in which one or more modules (programs) are stored. When the one or more modules are applied to a device, the device can execute the embodiment of the present application. Figure 1 Instructions for the steps included in the ultrasonic scalpel fracture abnormality warning method. The machine-readable medium can be any available medium that can be stored by a computer or a data storage device such as a server or data center that includes one or more available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, or tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (SSD)).

[0095] See Figure 5This embodiment provides a device 80, which can be a desktop computer, a portable computer, a smartphone, or other device. Specifically, device 80 includes at least a memory 82 and a processor 83 connected via a bus 81. The memory 82 is configured to store computer programs, and the processor 83 is configured to execute the computer programs stored in the memory 82 to perform all or part of the steps in the aforementioned method embodiment.

[0096] The system bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus. The communication interface is used to realize communication between the database access device and other devices (such as clients, read-write libraries, and read-only libraries). The memory may include random access memory (RAM), and may also include non-volatile memory, such as at least one disk storage.

[0097] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be 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, and discrete hardware components.

[0098] See also Figure 6 , Figure 6 The following is a schematic diagram of the structure of an ultrasonic scalpel system in one embodiment of the present application. The ultrasonic scalpel system includes: an ultrasonic scalpel main unit 1, an ultrasonic scalpel main unit output signal interface 2, a transducer internal control chip and circuit 3, an ultrasonic scalpel head 4, an ultrasonic scalpel shaft 5, a blade tip 6, and a transducer 7. The ultrasonic scalpel main unit 1 is used to provide the ultrasonic signal required by the transducer 7, the ultrasonic scalpel shaft 5 is used to provide energy transmission, and the transducer 7 converts electrical energy into mechanical energy. The ultrasonic scalpel head 4 generates high-speed vibration at the blade tip 6, thereby achieving surgical cutting.

[0099] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical concepts disclosed in this application shall be covered by the claims of this application.

Claims

1. An early warning method for abnormal breakage of an ultrasonic scalpel, characterized in that, it includes: Conduct an unloaded excitation test on the ultrasonic scalpel. After the test passes, excite the ultrasonic scalpel to perform cutting output; Obtain the impedance volatility and phase difference volatility during the excitation process of the ultrasonic scalpel. Identify abnormal breakage of the ultrasonic scalpel based on the impedance volatility and the phase difference volatility. After identifying abnormal breakage, re-conduct the unloaded excitation test on the ultrasonic scalpel to continue performing cutting output after the test passes until the number of identified abnormal breakage times exceeds the preset breakage times threshold, then stop exciting the ultrasonic scalpel and output the corresponding abnormal warning information; after re-conducting the unloaded excitation test on the ultrasonic scalpel, it also includes: obtaining the excitation duration from when the ultrasonic scalpel restarts cutting output to when abnormal breakage is identified again; if the excitation duration between two adjacent excitations is relatively shortened, the number of abnormal breakage times is accumulated once.

2. The ultrasonic scalpel abnormal breakage early warning method according to claim 1, characterized in that, Conducting an unloaded excitation test on the ultrasonic scalpel includes: Input a preset control current in the unloaded state of the ultrasonic scalpel to excite the ultrasonic scalpel to run unloaded; Obtain the resonant frequency of the ultrasonic scalpel in the unloaded state. If the resonant frequency satisfies the preset resonant frequency range, the test passes.

3. The ultrasonic scalpel abnormal breakage early warning method according to claim 1, characterized in that, Obtaining the impedance volatility and phase difference volatility during the excitation process of the ultrasonic scalpel, and identifying abnormal breakage of the ultrasonic scalpel based on the impedance volatility and the phase difference volatility includes: Weight the impedance volatility and the phase difference volatility according to a preset weighting coefficient to obtain a weighted value; If the weighted value exceeds the preset threshold, output abnormal breakage.

4. The ultrasonic scalpel abnormal breakage early warning method according to claim 1, characterized in that, Obtaining the excitation duration from when the ultrasonic scalpel restarts cutting output to when abnormal breakage is identified again, it also includes: Respectively obtain the excitation durations of different preset excitation gears of the ultrasonic scalpel, and the number of abnormal breakage times is accumulated independently for each preset excitation gear based on its respective excitation duration.

5. The ultrasonic scalpel abnormal breakage early warning method according to claim 4, characterized in that, After the number of abnormal breakage times is accumulated independently for each preset excitation gear based on its respective excitation duration, it also includes: Compare the accumulated number of abnormal breakage times for each excitation gear with its respective breakage times threshold, and output the abnormal warning information corresponding to the excitation gear, where the output of the abnormal warning information for each excitation gear is independent of each other.

6. The ultrasonic scalpel abnormal breakage early warning method according to claim 4, characterized in that, The number of abnormal breakage times is accumulated independently for each preset excitation gear based on its respective excitation duration, including: Each time abnormal breakage is identified, generate an abnormal flag, cut off the excitation process, and output a prompt message to the target terminal; Accumulate the number of abnormal breakage times based on the abnormal flag to obtain the number of abnormal breakage times for the corresponding excitation gear.

7. An ultrasonic scalpel abnormal breakage early warning system using the ultrasonic scalpel abnormal breakage early warning method according to any one of claims 1-6, It is characterized in that it includes: a test module, configured to perform an idle excitation test on the ultrasonic scalpel, and after the test passes, excite the ultrasonic scalpel to perform cutting output; an abnormal warning module, configured to obtain the impedance volatility and phase difference volatility during the excitation of the ultrasonic scalpel, identify the fracture abnormality of the ultrasonic scalpel according to the impedance volatility and the phase difference volatility, and after identifying the fracture abnormality, re-perform the idle excitation test on the ultrasonic scalpel, so as to continue to perform cutting output after the test passes, until the number of identified fracture abnormalities exceeds a preset fracture number threshold, stop exciting the ultrasonic scalpel, and output the corresponding abnormal warning information.

8. A computer device including: a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that when the processor executes the computer program, the steps of the ultrasonic scalpel fracture abnormal warning method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium, on which a computer program is stored it is characterized in that when the computer program is executed by a processor, the steps of the ultrasonic scalpel fracture abnormal warning method according to any one of claims 1 to 6 are implemented.

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