Energy surgical operation equipment

Abstract

The invention discloses an energy surgical device, comprising: an endoscope system; the endoscope system is connected with the image processing system, and the image processing system is used for processing and outputting image information of the endoscope system; the image processing system is connected with the control system, and the control system is used for receiving image information output by the image processing system; and the energy platform is connected with the control system, and the control system controls an energy curve output by the energy platform according to the image information output by the image processing system. According to the energy surgical operation equipment, the tissue type is accurately recognized through a video scheme, the energy output curve is dynamically adjusted, and optimization of cutting, hemostasis and heat injury is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical instruments, and more particularly, to an energy surgical device. Background Art

[0002] In existing electrosurgery, the energy platform primarily regulates power output based on parameters such as impedance, temperature, and tissue thickness. However, different tissues may have identical impedance, temperature, or thickness parameters, resulting in the energy platform using the same power output curve when cutting different tissues. This situation results in suboptimal cutting efficiency, hemostasis, and thermal damage control, impacting surgical quality and patient recovery. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the present invention innovatively provides an energy surgical device that can solve the technical problems in the existing technology that energy surgical devices rely on a single parameter to adjust power and cannot optimize energy output for different tissue types.

[0004] To achieve the above technical objectives, the present invention discloses an energy surgical device, comprising: Endoscopic systems; an image processing system, the endoscope system being connected to the image processing system, the image processing system being configured to process and output image information of the endoscope system; A control system, wherein the image processing system is connected to the control system, and the control system is used to receive image information output by the image processing system; An energy platform is connected to the control system, and the control system controls the energy curve output by the energy platform according to the image information output by the image processing system.

[0005] Furthermore, the image processing system includes an image acquisition module, an image processing module, an input / output control module and a video control module. The video control module is connected to the image acquisition module, the image processing module and the input / output control module and processes the image.

[0006] Furthermore, the image processing module uses a GPU or AI chip to achieve tissue and instrument recognition through a pre-trained deep learning model.

[0007] Furthermore, the image processing system and the control system are integrated on the same platform.

[0008] Furthermore, the control system also includes a storage module for recording the power control curve of the energy platform.

[0009] Furthermore, the control system further includes a display module, and the display module is connected to the image processing module.

[0010] Furthermore, the energy platform is connected to the input and output control module, the energy platform is connected to a surgical instrument, and the image processing system is also used to identify the type of the surgical instrument.

[0011] Furthermore, the control system is also connected to an operating switch, which is connected to the input and output control module. The operating switch is used to control the energy platform, and the control system matches the operating switch according to the surgical instrument recognition result.

[0012] Furthermore, the control system further includes a communication module, which supports Ethernet, USB, Bluetooth or serial communication protocols.

[0013] Furthermore, the control system is used to read the real-time output parameters of the energy platform and dynamically adjust the energy output control signal in combination with the image information.

[0014] The beneficial effects of the present invention are: The energy surgical device provided by the present invention accurately identifies tissue types through video solutions and dynamically adjusts the energy output curve to achieve optimization of cutting, hemostasis and thermal damage. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A structural block diagram of an energy surgical device according to an embodiment of the present invention is shown; Figure 2 Shown is a structural block diagram of the energy surgical device of this embodiment (image processing system and control system integrated into one). DETAILED DESCRIPTION

[0016] The energy surgical device provided by the present invention is explained and illustrated in detail below with reference to the accompanying drawings.

[0017] When cutting muscle tissue and blood vessels with similar impedance, existing energy platforms may output the same power, resulting in incomplete muscle cutting or insufficient hemostasis, and potentially causing excessive thermal damage to surrounding tissue. Furthermore, existing equipment cannot adapt to physicians' operating habits, increasing their operational burden.

[0018] The present invention provides an energy surgical device that uses video solutions to accurately identify tissue types and dynamically adjust the energy output curve to optimize cutting, hemostasis, and thermal damage. The present invention is described in detail below with reference to specific embodiments: In some embodiments, the present invention provides an energy surgical device, such as Figure 1 、 Figure 2 As shown, it includes: an endoscope system, an image processing system, a control system, an energy platform, and a communication interface connecting the various parts. Among them, the endoscope system is used to collect video data of the surgical area and transmit it to the image processing system through HDMI or other video output interfaces; the image processing system is used to process and output image information of the endoscope system, for example, image information includes pictures and video information, for example, using AI algorithms to identify tissue types and generate energy control instructions; the control system is used to receive image information and energy control instructions output by the image processing system, and display the corresponding energy (power) curve to achieve cutting, hemostasis or blood vessel closure of different tissues; the energy platform is connected to the surgical instrument and is used to output energy according to the energy curve so that the surgical instrument can complete the corresponding surgical operation.

[0019] In some embodiments, as Figure 2 As shown, the image processing system includes an image acquisition module, an image processing module, an input / output control module, and a video control module. The video control module is connected to the image acquisition module, the image processing module, and the input / output control module, and processes the image. Optionally, the image processing system uses a general-purpose computer platform, which internally integrates an image acquisition module, a GPU image processing module, and an input / output control module via a PCIE interface. The three boards work in coordination under the unified control of the CPU to achieve tissue recognition in the image. After identifying the tissue type, the CPU outputs a control signal to the energy platform through the input / output control card. Furthermore, the image acquisition module and the GPU image processing module can use standard products on the market. For example, the image processing module is an image acquisition card including a PCIE, and the image processing module is an NVIDIA GPU card. In this embodiment, the image processing module uses a GPU or an AI chip, and achieves tissue and instrument recognition through a pre-trained deep learning model.

[0020] Optionally, the input and output control module should implement the following functions: energy platform parameter settings, such as power, output voltage, output current, and operating modes (such as pure cutting, mixed cutting, coagulation, and large vessel sealing). For ultrasonic scalpels, operating gear and cutting mode can be set. Energy output control: The output signal is controlled by a relay, and the control signal can simulate a foot switch signal to directly control the output of the energy platform.

[0021] The image processing system identifies the tissue being cut and the real-time status of the cut, outputting corresponding signals to the control system. The control system then controls the energy platform. The energy output is analyzed by an AI algorithm based on multiple parameters, including the tissue being cut, its status, impedance, temperature, thickness, and clamping force. Different energy control curves are then output to optimize cutting, hemostasis, and thermal damage. The AI ​​algorithm uses image recognition to determine whether the tissue contains large blood vessels. If so, the energy output can be reduced when using an ultrasonic scalpel. If an electric scalpel is used, the scalpel can be switched to a large vessel closure mode, reducing the surgeon's workload of frequently switching between different gears.

[0022] In some embodiments, the image processing system and the control system are integrated into the same platform. When the image processing system cannot identify tissue, the system uses a non-image recognition method to output the energy control curve and provide prompts through sound or image.

[0023] The control system also includes a storage module for recording the power control curve of the energy platform and optimizing the subsequent energy control strategy through a machine learning algorithm. The control system also includes a display module, which is connected to the image processing module and can display the image information collected by the endoscope for the operator to observe. The display module can be a touch screen that allows the operator to set the type of energy platform or the output characteristics of the energy platform. In some embodiments, the control system is also used to read the real-time output parameters of the energy platform and dynamically adjust the energy output control signal based on the image information. In some embodiments, the energy platform is connected to a surgical instrument, and the image processing system is also used to identify the type of surgical instrument. For example, if a surgery requires multiple surgical instruments such as a high-frequency electrosurgical unit, Ligasure, or ultrasonic scalpel, the image processing system can identify the blade type and automatically set the energy parameters based on the tissue type, reducing the surgeon's workload when changing instruments.

[0024] Optionally, the control system is also connected to an operating switch for indirectly controlling the energy platform. The control system controls the corresponding instrument on the energy platform based on the surgical instrument recognition results. When the control system is used in conjunction with a traditional high-frequency electrosurgical energy platform (which cannot set parameters): each interface of the energy platform is controlled by a corresponding foot switch. When the doctor changes instruments, the foot switch needs to be replaced, which is cumbersome. The control system can also integrate a single foot switch detection function. When the doctor selects a different instrument based on image recognition, the input and output control module will output a control signal to the corresponding foot switch interface, activating the corresponding instrument, avoiding the need to frequently change foot switches when using different instruments.

[0025] In some embodiments, the control system further includes a communication module, which supports Ethernet, USB, Bluetooth or serial communication protocols.

[0026] In some embodiments, the working process of the energy surgical equipment includes: the endoscope takes a video of the surgical area and transmits it to the image acquisition card of the image processing system via HDMI; the GPU loads a tissue recognition model based on deep learning to identify the tissue type in the field of view (such as "3mm diameter blood vessels", "muscle tissue", etc.) in real time; the CPU calls the preset parameter library according to the recognition results: "coagulation mode, power 50W" is selected for blood vessels, and "cutting mode, power 80W" is selected for muscles; the control module sends the parameters to the high-frequency electric knife through the USB interface, and the electric knife outputs the corresponding energy; at the same time, the system records the doctor's manual adjustment records under the same tissue, updates the parameter library through reinforcement learning, and optimizes the accuracy of automatic control next time.

[0027] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like to indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0028] In the present invention, unless otherwise specified or limited, the terms "installed," "connected," "connect," "fixed," etc. should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integration; mechanical connection, electrical connection; direct connection, or indirect connection through an intermediate medium; internal communication between two components, or interaction between two components, unless otherwise specified. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0029] In the description of this specification, the reference terms "this embodiment", "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in an appropriate manner in any at least one embodiment or example. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0030] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0031] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and simple improvements made to the essential contents of the present invention should be included in the scope of protection of the present invention.

Claims

1. An energy surgical device, characterized in that: include: Endoscopic systems; an image processing system, the endoscope system being connected to the image processing system, the image processing system being configured to process and output image information of the endoscope system; A control system, wherein the image processing system is connected to the control system, and the control system is used to receive image information output by the image processing system; An energy platform is connected to the control system, and the control system controls the energy curve output by the energy platform according to the image information output by the image processing system.

2. The energy surgical device according to claim 1, characterized in that The image processing system includes an image acquisition module, an image processing module, an input / output control module and a video control module. The video control module is connected to the image acquisition module, the image processing module and the input / output control module and processes the image.

3. The energy surgical device according to claim 2, characterized in that The image processing module uses a GPU or AI chip to achieve tissue and instrument recognition through a pre-trained deep learning model.

4. The energy surgical device according to claim 3, characterized in that The image processing system and the control system are integrated on the same platform.

5. The energy surgical device according to claim 4, characterized in that The control system further includes a storage module for recording the power control curve of the energy platform.

6. The energy surgical device according to claim 5, characterized in that The control system further includes a display module, and the display module is connected to the image processing module.

7. The energy surgical device according to claim 5, characterized in that The energy platform is connected to the input and output control module, the energy platform is connected to a surgical instrument, and the image processing system is further used to identify the type of the surgical instrument.

8. The energy surgical device according to claim 7, characterized in that The control system is further connected to an operating switch, which is connected to the input and output control module. The operating switch is used to control the energy platform. The control system matches the operating switch according to the surgical instrument recognition result.

9. The energy surgical device according to claim 5, characterized in that The control system further comprises a communication module, which supports Ethernet, USB, Bluetooth or serial communication protocols.

10. The energy surgical device according to any one of claims 1 to 9, characterized in that: The control system is used to read the real-time output parameters of the energy platform and dynamically adjust the energy output control signal in combination with the image information.

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