An intelligent identification and energy regulation system and method for an ultrasonic soft tissue surgery accessory

Abstract

The present application relates to the technical field of medical equipment, in particular to an ultrasonic soft tissue operation accessory intelligent identification and energy regulation system and method, comprising an intelligent identification module, which is used for identifying the type, specification and real-time use state of the operation accessory as an output result; an energy regulation module, which is connected with the intelligent identification module, and dynamically adjusts the output parameters of ultrasonic energy according to the output result of the intelligent identification module; and a man-machine interaction module, which is connected with the intelligent identification module and the energy regulation module respectively, and is used for displaying the identification result, energy parameters and early warning information. According to the result of the intelligent identification module, the present application realizes the dynamic adjustment of the output parameters of ultrasonic energy through the energy regulation module, so as to ensure the smooth operation; when the temperature of the accessory exceeds the preset threshold or the impedance abnormally rises, the energy supply is rapidly cut off, so as to effectively prevent the operation risk caused by abnormal energy and ensure the safety of the patient.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, and more specifically, to an intelligent identification and energy regulation system and method for ultrasonic soft tissue surgical accessories. Background Technology

[0002] In the field of ultrasound soft tissue surgery, accurate identification of surgical attachments and proper energy control play a crucial role in the safety and effectiveness of the procedure. However, traditional methods for identifying surgical attachments in ultrasound soft tissue surgery are relatively simplistic, mostly relying on manual identification of the type and specifications of the attachments. This is not only inefficient but also prone to errors, which can affect the surgical process. Regarding energy control, existing systems lack precise real-time sensing of the status of surgical attachments, making it difficult to dynamically adjust ultrasound energy output parameters based on attachment wear, tissue adhesions, and changes in tissue impedance during surgery. This can lead to unstable cutting efficiency, and even failure to promptly cut off the energy supply when attachment temperatures are too high or impedance is abnormal, posing significant safety hazards and seriously threatening the patient's life and health and the success of the surgery.

[0003] In view of this, an intelligent identification and energy regulation system and method for ultrasonic soft tissue surgical accessories are proposed. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent identification and energy regulation system and method for ultrasonic soft tissue surgical accessories, which realizes intelligent identification and precise energy regulation of surgical accessories to meet the high-quality requirements of clinical surgery.

[0005] To solve the above-mentioned technical problems, the present invention provides an intelligent identification and energy regulation system for ultrasonic soft tissue surgical accessories, comprising:

[0006] The intelligent identification module is used to identify the type, specifications, and real-time usage status of surgical accessories as output results. It includes an electronic tag embedded in the surgical accessory to store accessory identification information and a multimodal sensor unit for detecting the physical installation status, resonant frequency shift, and optical identification information of the accessory.

[0007] The energy regulation module is connected to the intelligent recognition module and dynamically adjusts the output parameters of the ultrasonic energy based on the output results of the intelligent recognition module.

[0008] The human-computer interaction module is connected to the intelligent recognition module and the energy regulation module respectively, and is used to display the recognition results, energy parameters and warning information.

[0009] As a further improvement to this technical solution, the electronic tag is an NFC chip, and the accessory identification information includes the accessory's unique ID, model, rated frequency range, usage threshold, and historical usage data.

[0010] As a further improvement to this technical solution, the multimodal sensor unit includes:

[0011] Mechanical sensors detect contact pressure during the installation of surgical accessories;

[0012] The impedance analysis unit measures the resonant frequency offset data of the accessory through high-frequency electrical signals to determine the wear of the cutting head or the state of tissue adhesion.

[0013] An optical recognition unit scans markings on the surface of surgical accessories using a miniature camera.

[0014] As a further improvement to this technical solution, the energy regulation module includes:

[0015] The real-time feedback unit dynamically adjusts the output power according to changes in tissue impedance during surgery to maintain constant cutting efficiency.

[0016] The safety fuse unit cuts off the power supply when it detects that the accessory temperature exceeds a preset threshold or that the impedance rises abnormally.

[0017] As a further improvement to this technical solution, a verification processor is provided between the real-time feedback unit and the impedance analysis unit. The verification processor includes a data acquisition and preprocessing module, a cross-triggered logic core, and a pass-through mode controller, wherein:

[0018] The data acquisition and preprocessing module includes a first data channel and a second data channel. The first data channel is connected to the output of the impedance analysis unit and is used to receive resonant frequency offset data. The instantaneous frequency value is extracted by the resonant peak capture circuit and stored in a circular buffer queue to generate a dynamic frequency offset trajectory curve. The second data channel is connected to the output of the real-time feedback unit and is used to receive tissue impedance data. The nonlinear jump point is extracted by the jump detection circuit and stored in a timestamp-aligned sliding window buffer to generate an impedance transition event sequence.

[0019] The cross-triggered logic core includes a slope detection module, an event counter module, and a logic determination module. The slope detection module monitors the dynamic frequency offset trajectory curve. When the slope change of a consecutive preset number of sampling points exceeds a preset value, a frequency risk flag signal is generated. The event counter module counts the number of transitions in the impedance transition event sequence within a preset time. When the number of transitions is greater than or equal to the preset number, an impedance risk flag signal is generated. The logic determination module receives the frequency risk flag signal and the impedance risk flag signal. When both are generated synchronously, it is determined to be a critical risk state and a trigger command is sent to the pass-through mode controller and the excitation signal controller in the impedance analysis unit.

[0020] The pass-through mode controller receives trigger commands from the logic determination module and controls the multiplexer to switch data paths. The multiplexer is a hardware switching circuit used to switch data paths. In normal mode, the collected resonant frequency offset data and tissue impedance data enter the first data channel and the second data channel, respectively. The data from the first data channel is buffered through a circular buffer queue, and the data from the second data channel is buffered through a sliding window and input to the cross-triggered logic core. In critical risk state, the collected resonant frequency offset data and tissue impedance data bypass the buffer and are directly input to the cross-triggered logic core through the pass-through channel for real-time analysis and synchronously transmitted to the safety fuse unit.

[0021] As a further improvement to this technical solution, the excitation signal controller receives the trigger command from the logic judgment module and sends a pulse generation command to the excitation signal transmitter in the impedance analysis unit. The excitation signal transmitter generates a high-frequency narrow pulse signal with a pulse width ≤ a preset value according to the command, transmits it to the surgical accessory through a coaxial cable and collects its attenuated oscillation waveform. If the amplitude attenuation rate of the main resonance peak of the attenuated oscillation waveform is > a preset value, the frequency deviation is determined to be a real risk. When it is determined to be a real risk, the average value of tissue impedance data within the most recent preset time in the sliding window buffer is used as a virtual impedance compensation value, and the current abnormal data of the real-time feedback unit is overwritten by the data replacement circuit in the real-time feedback unit.

[0022] As a further improvement to this technical solution, the safety fuse unit includes a warning timer and a power amplifier, wherein the warning timer is connected to the power amplifier via a digital signal line:

[0023] The warning timer is used to activate under real risk conditions. If the real risk is not eliminated within a preset time, a fuse-breaking command is sent to the power amplifier.

[0024] The power amplifier is used to receive fuse blow-off commands, cut off energy output, and provide feedback on the fuse blow-off status.

[0025] A method for intelligent identification and energy regulation of ultrasonic soft tissue surgical attachments, wherein the method is used to implement the above-mentioned intelligent identification and energy regulation system for ultrasonic soft tissue surgical attachments, and includes the following steps:

[0026] S1. Read NFC tag information, detect mechanical installation pressure, transmit high-frequency sweep signal to measure resonant frequency offset data, and scan optical identification code to verify the legality of the accessory;

[0027] S2. Extract resonant frequency offset data and generate dynamic frequency offset trajectory curve. When the slope change of a preset number of consecutive sampling points exceeds a preset value, a frequency risk indicator signal is generated. Simultaneously extract tissue impedance data, identify nonlinear jump points, and generate an impedance transition event sequence. When the number of times is greater than or equal to a preset number, an impedance risk indicator signal is generated. When a frequency risk event and an impedance risk event occur simultaneously, it is determined to be a critical risk state.

[0028] S3. Under critical risk conditions, the multiplexer is activated to switch to the direct channel, and the raw data is directly connected to the safety fuse unit; a high-frequency narrow pulse excitation signal is triggered simultaneously to verify the authenticity of the resonant frequency offset of the accessory.

[0029] S4. If the risk is verified to be real, generate a virtual impedance compensation value based on the average value of tissue impedance data within the most recent preset time period in the sliding window cache, and cover the abnormal data of the real-time feedback unit.

[0030] S5. Under real risk conditions, start the warning timer. If the risk is not eliminated within the preset time, cut off the energy output. If the risk is eliminated, restore the normal energy control mode and record the event log.

[0031] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0032] 1. In this intelligent identification and energy regulation system for ultrasonic soft tissue surgical attachments, the energy regulation module dynamically adjusts the ultrasonic energy output parameters based on the results of the intelligent identification module. The real-time feedback unit can dynamically adjust the output power according to changes in tissue impedance during surgery, maintaining constant cutting efficiency and ensuring the smooth progress of the surgery; the safety fuse unit can quickly cut off the energy supply when it detects that the attachment temperature exceeds a preset threshold or that the impedance rises abnormally, effectively preventing surgical risks caused by energy abnormalities and ensuring patient safety.

[0033] 2. In this intelligent identification and energy regulation system for ultrasonic soft tissue surgical accessories, the system can comprehensively and accurately identify the type, specifications, and real-time usage status of surgical accessories through electronic tags embedded with NFC chips and a multimodal sensor unit. The rich accessory identification information stored in the electronic tags, such as unique IDs and model numbers, ensures rapid and accurate identification of accessories. The mechanical sensors, impedance analysis units, and optical recognition units in the multimodal sensor unit detect the accessory status from multiple dimensions, such as contact pressure, resonant frequency shift, and surface markings, effectively avoiding errors from manual identification and the limitations of single detection methods, greatly improving the accuracy and reliability of surgical accessory identification.

[0034] 3. In this intelligent identification and energy control system for ultrasonic soft tissue surgical accessories, the verification processor, through in-depth analysis of resonant frequency offset data and tissue impedance data, can promptly and accurately determine critical risk states. Under critical risk conditions, the through-mode controller and excitation signal controller work together to achieve real-time analysis of raw data and verification of risk authenticity. If a genuine risk is confirmed, the system can generate a virtual impedance compensation value to cover abnormal data and use a safety fuse unit to cut off or restore energy, forming a complete risk warning and handling mechanism that greatly improves the safety and stability of the surgery. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the module relationships of the present invention. Detailed Implementation

[0036] 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 secondary embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Currently, traditional methods for identifying surgical attachments in ultrasound soft tissue surgery are relatively simplistic, relying mostly on manual identification of the attachment type and specifications. This is not only inefficient but also prone to errors, which can affect the surgical process. Regarding energy regulation, existing systems lack precise real-time sensing of the surgical attachment's usage status, making it difficult to dynamically adjust ultrasound energy output parameters based on attachment wear, tissue adhesions, and changes in tissue impedance during surgery. This can lead to unstable cutting efficiency, and even failure to promptly cut off the energy supply when the attachment temperature is too high or impedance is abnormal, posing significant safety hazards and seriously threatening the patient's life and health as well as the success of the surgery.

[0038] In view of this, please refer to Figure 1 As shown, one of the objectives of this invention is to provide an intelligent identification and energy regulation system for ultrasonic soft tissue surgical attachments. This system includes:

[0039] The intelligent identification module is used to identify the type, specifications, and real-time usage status of surgical accessories as output results. It includes an electronic tag embedded in the surgical accessory to store accessory identification information and a multimodal sensor unit for detecting the physical installation status, resonant frequency shift, and optical identification information of the accessory.

[0040] The energy regulation module is connected to the intelligent recognition module and dynamically adjusts the output parameters of the ultrasonic energy based on the output results of the intelligent recognition module.

[0041] The human-computer interaction module is connected to the intelligent recognition module and the energy regulation module respectively, and is used to display the recognition results, energy parameters and warning information.

[0042] In this intelligent identification and energy regulation system for ultrasonic soft tissue surgical attachments, the energy regulation module dynamically adjusts the ultrasonic energy output parameters based on the results of the intelligent identification module. It dynamically adjusts the output power according to changes in tissue impedance during surgery to maintain constant cutting efficiency and ensure smooth operation. Furthermore, it can quickly cut off the energy supply when the attachment temperature exceeds a preset threshold or when impedance abnormally surges, effectively preventing surgical risks caused by energy anomalies and ensuring patient safety. Simultaneously, through electronic tags embedded with NFC chips and multimodal sensor units, the system can comprehensively and accurately identify the type, specifications, and real-time usage status of surgical attachments, effectively avoiding errors from manual identification and the limitations of single detection methods, greatly improving the accuracy and reliability of surgical attachment identification.

[0043] Considering the inefficiency, error-prone nature, and difficulty in effectively managing the entire lifecycle of surgical attachments during ultrasound soft tissue surgery, traditional methods of identifying surgical attachments fail to meet the demands for precision and safety. Therefore, an NFC chip is used as an electronic tag in the intelligent identification and energy regulation system for ultrasound soft tissue surgical attachments. This tag is equipped with a unique ID, model number, rated frequency range, usage threshold, and historical usage data. The NFC chip utilizes near-field communication technology, offering contactless and convenient operation. During surgical preparation, medical staff can quickly read the tag information simply by bringing the surgical attachment close to the identification device, significantly improving the efficiency of pre-operative attachment identification. The unique ID and model information of the attachment are encoded and stored in the NFC chip, working in conjunction with the system database to achieve accurate identification of surgical attachments, avoiding surgical risks caused by attachment model confusion. The rated frequency range setting, combined with the system's frequency detection technology, ensures that the ultrasound energy output during surgery is compatible with the attachment, guaranteeing surgical cutting effectiveness and safety. Using data storage and management technology, the system records usage thresholds and historical usage data. When the number of times an accessory is used approaches the threshold, the system can issue an early warning to remind the accessory to be replaced. This effectively prevents performance degradation and blade wear caused by excessive use of accessories, reducing surgical risks. At the same time, this historical data can also provide a basis for accessory maintenance and optimization.

[0044] Considering that a single sensor cannot fully cover the multi-dimensional status monitoring needs of surgical accessories during installation, use, and wear (e.g., relying solely on electronic tags cannot verify the stability of physical connections, and detecting only frequency shifts cannot identify surface marking tampering), and that surgical safety places extremely high demands on the accurate assessment of accessory status, a multi-modal sensor unit technology solution, including mechanical sensors, impedance analysis units, and optical recognition units, is adopted in the ultrasonic soft tissue surgical accessory intelligent identification and energy regulation system. This system achieves three-dimensional detection of accessory status through multi-dimensional perception and data fusion technology. Specifically:

[0045] Mechanical sensors: Piezoresistive pressure sensors or capacitive displacement sensors are integrated at the connection interface between the surgical accessories and the main unit. Contact pressure signals are collected in real time through Wheatstone bridge circuits or microelectromechanical systems (MEMS) structures. Combined with threshold judgment algorithms, when the pressure value is lower than the preset safety threshold (e.g., <5N), it is judged as "installation not in place", triggering a hardware interlock mechanism to prohibit energy output.

[0046] Impedance analysis unit: It has a built-in direct digital frequency synthesizer (DDS) that transmits a 100kHz-5MHz sweep excitation signal to the accessory. The resonant frequency of the echo signal is extracted via a phase-locked loop (PLL) circuit. The unit uses Fast Fourier Transform (FFT) to calculate the frequency shift and establishes a mathematical model of the relationship between tool wear and frequency shift (e.g., polynomial fitting: wear ΔL = k・Δf², where k is a material property coefficient and Δf represents the resonant frequency shift). Simultaneously, it identifies tissue adhesion by analyzing the damping ratio change of the damping waveform (adhesion is determined when damping ratio > 0.7).

[0047] Optical recognition unit: Equipped with a miniature CMOS camera (resolution ≥ 8 million pixels) and an LED ring light source, it extracts the one-dimensional barcode or two-dimensional QR code from the surface of the accessory through image preprocessing (median filtering for noise reduction and adaptive threshold binarization); it uses edge detection algorithms (such as the Canny operator) to locate the encoded area, and combines template matching or deep learning models (such as lightweight CNN) to decode the identification information and verify the consistency with the electronic tag data.

[0048] Through the collaborative work of multimodal sensor units, the system achieves three-dimensional monitoring of "physical connection - functional status - identity information" throughout the entire process from accessory installation to use, solving the blind spot problem of traditional single detection methods, providing real-time and reliable status information for precise control of ultrasound energy, and building a multi-layered protection system for surgical safety from the source.

[0049] Because of the significant differences in tissue characteristics among patients and variations in tissue impedance at different sites within the same patient during ultrasonic soft tissue surgery, traditional fixed-power ultrasonic surgical equipment struggles to adapt to these variations. This can lead to unstable cutting efficiency and even tissue damage or safety accidents due to excessive energy. Therefore, the intelligent identification and energy regulation system for ultrasonic soft tissue surgery employs an energy regulation module technology that includes a real-time feedback unit and a safety fuse unit. Specifically:

[0050] The real-time feedback unit employs tissue impedance monitoring technology, injecting high-frequency electrical signals into the tissue and measuring tissue impedance in real time by detecting changes in current and voltage. A high-precision impedance measurement circuit ensures the accuracy and real-time nature of the measurement results. Simultaneously, based on fuzzy control algorithms or PID (proportional-integral-derivative) control algorithms, the output power of the ultrasonic energy is dynamically adjusted according to the real-time monitored changes in tissue impedance. These algorithms can quickly respond to impedance changes, matching the output power to the tissue characteristics. By monitoring tissue impedance in real time and dynamically adjusting the output power, constant cutting efficiency can be maintained under different tissue characteristics. For example, when cutting harder tissue, the output power is automatically increased; when cutting softer tissue, the output power is reduced to avoid cutting too deeply or too shallowly, improving the precision and efficiency of the surgery and preventing unnecessary thermal and mechanical damage to surrounding normal tissues due to excessive power. Appropriate power output can better protect important structures such as blood vessels and nerves around the surgical site, improving the safety of the surgery.

[0051] The safety fuse unit employs temperature monitoring technology, utilizing thermistors or infrared temperature sensors to monitor the temperature of surgical accessories in real time. Temperature sensors are integrated into critical parts of the accessories to ensure accurate detection of temperature changes. Impedance anomaly detection technology is used, with a set normal impedance range. By monitoring tissue impedance in real time, an impedance anomaly is identified when the impedance value exceeds the normal range and experiences an abnormal surge. High-speed data acquisition and analysis circuitry enables rapid detection of impedance anomalies. Energy cutoff technology, using power switching devices such as thyristors or relays, rapidly cuts off the energy supply when the temperature exceeds a preset threshold or an abnormal surge in impedance is detected. These switching devices are characterized by fast response and high reliability. Timely cutoff of the energy supply when the accessory temperature exceeds the preset threshold prevents damage to the surgical accessories due to high temperatures, extending their lifespan. Simultaneously, rapid cutoff of energy during an abnormal surge in impedance prevents serious complications such as tissue carbonization and bleeding caused by energy anomalies, ensuring patient safety. In clinical practice, it significantly reduces surgical risk events caused by energy abnormalities. Furthermore, the safety fuse unit, as a protective mechanism, improves the reliability and stability of the entire ultrasound soft tissue surgical accessory intelligent identification and energy regulation system, reducing system failures and downtime caused by sudden abnormalities.

[0052] Considering that in ultrasound surgery, anomalies in a single parameter (such as frequency shift or impedance change only) may be caused by noise or transient interference, easily leading to misjudgment, and that traditional buffering mechanisms may affect response speed due to data delays at critical risks, a verification processor is set up between the real-time feedback unit and the impedance analysis unit. Through multi-parameter cross-validation technology and a real-time data path switching mechanism, accurate identification and rapid response to critical risks are achieved. Specifically:

[0053] The verification processor includes a data acquisition and preprocessing module, a cross-triggered logic core, and a pass-through mode controller, wherein:

[0054] The data acquisition and preprocessing module adopts a dual-data-channel architecture, including a first data channel and a second data channel. The first data channel is connected to the output of the impedance analysis unit and uses a resonant peak capture circuit (such as a phase-locked loop (PLL) + analog-to-digital converter (ADC)) to capture the resonant frequency offset in real time at a preset sampling rate (such as 20kHz). The data within the most recent preset time (such as 100ms) is stored in a circular buffer queue (FIFO) to generate a dynamic frequency offset trajectory curve. The second data channel is connected to the output of the real-time feedback unit and is used to receive tissue impedance data. The nonlinear transition points of tissue impedance (such as impedance change rate > 5Ω / μs within 10μs) are extracted through a transition detection circuit (comparator + edge trigger). The impedance transition event sequence is generated using a timestamp-aligned sliding window buffer (capacity 500ms) to support μs-level time synchronization accuracy. A global clock synchronization module (accuracy ±10ns) ensures that the timestamp error between the frequency and impedance data is less than the preset time (such as 50ns), providing a spatiotemporal consistency basis for subsequent cross-validation.

[0055] The cross-triggered logic core employs cross-triggered logic determination technology and includes a slope detection module, an event counter module, and a logic determination module.

[0056] The slope detection module is used to monitor the dynamic frequency offset trajectory curve. It uses a differential circuit hardware to calculate the slope. When the slope change of a preset number (e.g., 3) consecutive sampling points exceeds a preset value (e.g., >0.5kHz / ms), a frequency risk indicator signal is generated.

[0057] The event counter module uses a programmable logic device (CPLD) to build a pulse counter, which is used to count the number of transitions in the impedance transition event sequence within a preset time (e.g., 500ms). When the number of transitions is greater than or equal to the preset number (e.g., 5 times), an impedance risk flag signal is generated.

[0058] The logic judgment module receives frequency risk and impedance risk indicators and uses hardware and gate circuits to synchronously generate and judge "frequency risk and impedance risk," avoiding misjudgment based on a single parameter (such as filtering out pseudo impedance jumps caused by high-frequency electrosurgical interference). It then sends trigger commands to the pass-through mode controller and the excitation signal controller in the impedance analysis unit. Through dual-parameter synchronous verification of frequency offset slope and impedance jump count, it eliminates false alarms based on a single parameter (such as transient impedance changes caused by tissue fluid fluctuations not triggering a fuse independently), reducing the misjudgment rate in clinical testing. For example, when the blade is slightly worn (frequency offset 0.3%) but not reaching the threshold, if more than three abnormal impedance jumps occur simultaneously (indicating tissue adhesion), the system can provide a 500ms early warning, avoiding the missed judgment risk of traditional single-parameter detection. Simultaneously, the conventional preprocessing mechanism of the ring buffer and sliding window filters out high-frequency electrical noise (such as electromagnetic interference from other equipment in the operating room), ensuring data stability under normal conditions. The pass-through mode is only activated at critical risks, avoiding the increased hardware costs associated with high-speed processing throughout the process.

[0059] The pass-through mode controller employs a multiplexer (MUX) hardware switch and a dual-bus architecture. Upon receiving a trigger command from the logic judgment module, it controls the multiplexer to switch data paths. The multiplexer uses a low-latency analog switch (on-time <50ns). In normal mode, data is preprocessed by buffering. In critical risk situations, it switches to the pass-through channel, skipping the 100ms delay of the ring buffer, reducing the original data transmission delay from 120ms to <10ms. The dual-bus architecture includes independently set "regular data bus" and "pass-through data bus." The former supports data buffering and filtering, while the latter is a dedicated high-speed channel for critical states (with a 3x increase in bandwidth), achieving dual-mode operation of "no lag in normal processing and no delay in emergency situations." In pass-through mode, the original data bypasses the buffer and directly enters the logic core, shortening the total delay from risk detection to the fuse instruction, meeting the real-time control requirements of high-frequency energy (23-25kHz) in ultrasound surgery.

[0060] In summary, by verifying the integration of multiple technologies in the processor, a three-tiered protection system of "stable processing in normal state - rapid response in critical state - accurate judgment of risk events" was constructed. This system not only solves the problem of misjudgment in single parameter detection, but also breaks through the latency bottleneck of traditional caching mechanisms, providing hardware-level protection for the safety and accuracy of ultrasound surgery. It is especially suitable for time-sensitive complex surgical scenarios (such as rapid hemostasis and tissue separation in liver resection).

[0061] In ultrasound surgery, abnormal energy output (such as overheating of attachments or a sudden increase in tissue impedance) can lead to safety risks such as tissue thermal damage and equipment malfunction. Immediately cutting off the energy supply could interrupt the surgery (while temporary high temperatures can be recovered by briefly reducing power). Therefore, a balance needs to be struck between "timely risk response" and "surgical continuity." Consequently, the intelligent identification and energy regulation system for ultrasound soft tissue surgical attachments employs a safety fuse unit technology that includes a warning timer and a power amplifier. This "tiered warning-delayed fuse" mechanism enables precise risk management. Specifically:

[0062] The warning timer is connected to the power amplifier via a digital signal line. The timer is activated under real-world risk conditions. If the real risk is not eliminated within a preset time, it sends a circuit breaker command to the power amplifier. The power amplifier receives the circuit breaker command, cuts off the energy output, and reports the circuit breaker status. This tiered warning mechanism provides a buffer time for the system and medical personnel. For some transient, recoverable abnormalities (such as a sudden temperature increase caused by local tissue adhesion), adjusting the energy output or changing the surgical procedure within the warning time can avoid unnecessary energy cutoff, allowing the surgery to proceed smoothly. Simultaneously, high-precision timing ensures accurate assessment of ongoing risks. If the abnormality persists beyond the preset time, the rapid-response power cutoff technology can cut off the energy in a very short time, preventing irreversible thermal damage to tissues caused by prolonged exposure to abnormal energy, effectively reducing surgical risks.

[0063] Considering that during ultrasound soft tissue surgery, medical staff need to have real-time and intuitive access to the status of surgical attachments, energy control parameters, and potential risk information, traditional equipment's single information display method or lack of early warning functions can easily lead to untimely information acquisition and operational errors by medical staff. Therefore, a human-computer interaction module is set up in the ultrasound soft tissue surgical attachment intelligent identification and energy control system, and the following technologies are used to achieve efficient information transmission and interaction;

[0064] It adopts a 10-15 inch high-resolution LCD touchscreen display (resolution ≥1920×1080) with an anti-glare and anti-fingerprint coating to ensure clear display in the complex lighting environment of the operating room. The screen supports multi-touch operation, allowing medical staff to quickly switch interfaces and view detailed information using gestures such as swiping and zooming. Information is divided into different hierarchical interfaces. The main interface displays core information in real time, such as surgical accessory type, current energy output power, and working status. Secondary interfaces can display detailed parameters of accessories (such as rated frequency range, usage threshold), historical usage data, and energy control curves. A chart-based design is used, with line graphs showing the trend of energy parameters over time and bar graphs comparing usage data of different accessories, making the information clear at a glance. It integrates high-brightness LED warning lights and a high-decibel buzzer, with different warning modes set according to the risk level. In low-risk situations, the warning light flashes yellow and the buzzer sounds intermittently at a low frequency; in high-risk situations, the warning light flashes red rapidly and the buzzer sounds continuously at a high frequency, while a prominent red pop-up on the screen displays the warning information, such as "Accessory temperature too high, about to melt!" A vibration motor is built into the operating handle or foot switch. When an emergency warning occurs, it provides tactile cues to medical staff through vibrations of different frequencies and intensities, especially useful when medical staff cannot keep their eyes on the screen during surgery, ensuring comprehensive reach of warning information. An integrated voice recognition and synthesis module allows medical staff to query information (e.g., "Check the current number of times the blade has been used") and adjust parameter settings (e.g., "Reduce energy output by 20%)" via voice commands. The system can also announce key information via voice, such as "Accessory installation successful" and "Entered a critical risk state," freeing up medical staff's hands and improving operational convenience and efficiency.

[0065] The second objective of this invention is to provide a method for intelligent identification and energy regulation of ultrasonic soft tissue surgical attachments. This method is used in the aforementioned intelligent identification and energy regulation system for ultrasonic soft tissue surgical attachments and includes the following steps:

[0066] S1. Read NFC tag information, detect mechanical installation pressure, transmit high-frequency sweep signal to measure resonant frequency offset, and scan optical identification code to verify the legality of the accessory;

[0067] S2. Extract resonant frequency offset data and generate dynamic frequency offset trajectory curve. When the slope change of a preset number of consecutive sampling points exceeds a preset value, a frequency risk indicator signal is generated. Simultaneously extract tissue impedance data, identify nonlinear jump points, and generate an impedance transition event sequence. When the number of times is greater than or equal to a preset number, an impedance risk indicator signal is generated. When a frequency risk event and an impedance risk event occur simultaneously, it is determined to be a critical risk state.

[0068] S3. Under critical risk conditions, the multiplexer is activated to switch to the direct channel, and the raw data is directly connected to the safety fuse unit; a high-frequency narrow pulse excitation signal is triggered simultaneously to verify the authenticity of the resonant frequency offset of the accessory.

[0069] S4. If the risk is verified to be real, generate a virtual impedance compensation value based on the average value of tissue impedance data within the most recent preset time period in the sliding window cache, and cover the abnormal data of the real-time feedback unit.

[0070] S5. Under real risk conditions, start the warning timer. If the risk is not eliminated within the preset time, cut off the energy output. If the risk is eliminated, restore the normal energy control mode and record the event log.

[0071] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent identification and energy regulation system for ultrasonic soft tissue surgical accessories, characterized in that, include: The intelligent identification module is used to identify the type, specifications, and real-time usage status of surgical accessories as output results. It includes an electronic tag embedded in the surgical accessory to store accessory identification information and a multimodal sensor unit for detecting the physical installation status, resonant frequency shift, and optical identification information of the accessory. The energy regulation module is connected to the intelligent recognition module and dynamically adjusts the output parameters of the ultrasonic energy based on the output results of the intelligent recognition module. The energy regulation module includes: The real-time feedback unit dynamically adjusts the output power according to changes in tissue impedance during surgery to maintain constant cutting efficiency. The safety fuse unit cuts off the power supply when it detects that the accessory temperature exceeds a preset threshold or that the impedance rises abnormally. A verification processor is provided between the real-time feedback unit and the impedance analysis unit. The verification processor includes a data acquisition and preprocessing module, a cross-triggered logic core, and a pass-through mode controller, wherein: The data acquisition and preprocessing module includes a first data channel and a second data channel. The first data channel is connected to the output of the impedance analysis unit and is used to receive resonant frequency offset data. The instantaneous frequency value is extracted by the resonant peak capture circuit and stored in a circular buffer queue to generate a dynamic frequency offset trajectory curve. The second data channel is connected to the output of the real-time feedback unit and is used to receive tissue impedance data. The nonlinear jump point is extracted by the jump detection circuit and stored in a timestamp-aligned sliding window buffer to generate an impedance transition event sequence. The cross-triggered logic core includes a slope detection module, an event counter module, and a logic determination module. The slope detection module monitors the dynamic frequency offset trajectory curve. When the slope change of a consecutive preset number of sampling points exceeds a preset value, a frequency risk flag signal is generated. The event counter module counts the number of transitions in the impedance transition event sequence within a preset time. When the number of transitions is greater than or equal to the preset number, an impedance risk flag signal is generated. The logic determination module receives the frequency risk flag signal and the impedance risk flag signal. When both are generated synchronously, it is determined to be a critical risk state and a trigger command is sent to the pass-through mode controller and the excitation signal controller in the impedance analysis unit. The pass-through mode controller receives trigger commands from the logic determination module and controls the multiplexer to switch data paths. The multiplexer is a hardware switching circuit used to switch data paths. In normal mode, the collected resonant frequency offset data and tissue impedance data enter the first data channel and the second data channel, respectively. The data from the first data channel is buffered through a circular buffer queue, and the data from the second data channel is buffered through a sliding window and input to the cross-triggered logic core. In critical risk state, the collected resonant frequency offset data and tissue impedance data bypass the buffer and are directly input to the cross-triggered logic core through the pass-through channel for real-time analysis and synchronously transmitted to the safety fuse unit. The human-computer interaction module is connected to the intelligent recognition module and the energy regulation module respectively, and is used to display the recognition results, energy parameters and early warning information.

2. The intelligent identification and energy regulation system for ultrasonic soft tissue surgical accessories according to claim 1, characterized in that: The electronic tag is an NFC chip, and the accessory identification information includes the accessory's unique ID, model, rated frequency range, usage threshold, and historical usage data.

3. The intelligent identification and energy regulation system for ultrasonic soft tissue surgical accessories according to claim 2, characterized in that, The multimodal sensor unit includes: Mechanical sensors detect contact pressure during the installation of surgical accessories; The impedance analysis unit measures the resonant frequency offset data of the accessory through high-frequency electrical signals to determine the wear of the cutting head or the state of tissue adhesion. An optical recognition unit scans markings on the surface of surgical accessories using a miniature camera.

4. The intelligent identification and energy regulation system for ultrasonic soft tissue surgical accessories according to claim 1, characterized in that: The excitation signal controller receives the trigger command from the logic determination module and sends a pulse generation command to the excitation signal transmitter in the impedance analysis unit; The excitation signal transmitter generates a high-frequency narrow pulse signal with a pulse width ≤ a preset value according to the command. It is transmitted to the surgical accessory through a coaxial cable and its attenuated oscillation waveform is collected. If the amplitude attenuation rate of the main resonant peak of the attenuated oscillation waveform is > a preset value, the frequency deviation is determined to be a real risk. When it is determined to be a real risk, the average value of tissue impedance data in the sliding window buffer within the most recent preset time period is used as a virtual impedance compensation value, and the current abnormal data of the real-time feedback unit is overwritten by the data replacement circuit in the real-time feedback unit.

5. The intelligent identification and energy regulation system for ultrasonic soft tissue surgical accessories according to claim 4, characterized in that, The safety fuse unit includes a warning timer and a power amplifier, wherein the warning timer is connected to the power amplifier via a digital signal line: The warning timer is used to activate under real risk conditions. If the real risk is not eliminated within a preset time, a fuse-breaking command is sent to the power amplifier. The power amplifier is used to receive fuse blow-off commands, cut off energy output, and provide feedback on the fuse blow-off status.

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