Energy surgical device

Abstract

The utility model discloses a kind of energy surgical operation equipment, comprising: endoscope system;Image processing system, endoscope system is connected with image processing system, image processing system is used to handle and output the image information of endoscope system;Control system, image processing system is connected with control system, control system is used to receive the image information that image processing system outputs;Energy platform, platform is connected with control system, and control system controls the energy curve that energy platform exports according to the image information that image processing system exports.The energy surgical operation equipment provided by the utility model accurately identifies tissue type and dynamically adjusts energy output curve through video scheme, realizes the optimization of cutting, hemostasis and thermal injury.

Description

Technical Field

[0001] This utility model relates to the field of medical device technology, and more specifically, to an energy surgical device. Background Technology

[0002] In current electrosurgical procedures, the power platform primarily adjusts its power output based on parameters such as impedance, temperature, and tissue thickness. However, different tissues may share similar impedance, temperature, or thickness parameters, leading to the use of the same power output curve when cutting different tissues. This situation prevents optimal cutting efficiency, hemostasis, and thermal damage control, impacting surgical quality and patient recovery. Utility Model Content

[0003] In view of the shortcomings of the prior art, this utility model innovatively provides an energy surgical device that can solve the technical problems of existing energy surgical devices relying on a single parameter to adjust power and being unable to optimize energy output for different tissue types.

[0004] To achieve the above-mentioned technical objectives, this utility model discloses an energy surgery device, comprising:

[0005] Endoscopic system;

[0006] An image processing system is provided, wherein the endoscope system is connected to the image processing system, and the image processing system is used to process and output image information of the endoscope system.

[0007] 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;

[0008] An energy platform is connected to the control system, and the control system controls the energy curve output by the energy platform based on the image information output by the image processing system.

[0009] 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 images.

[0010] Furthermore, the image processing module employs a GPU or AI chip.

[0011] Furthermore, the image processing system and the control system are integrated on the same platform.

[0012] Furthermore, the control system also includes a storage module for recording the power control curve of the energy platform.

[0013] Furthermore, the control system also includes a display module, which is connected to the image processing module.

[0014] Furthermore, the energy platform is connected to the input / output control module, and the energy platform is connected to surgical instruments. The image processing system is also used to identify the type of surgical instruments.

[0015] Furthermore, the control system is also connected to an operation switch, which is connected to the input / output control module. The operation switch is used to control the energy platform, and the control system matches the operation switch according to the surgical instrument identification result.

[0016] Furthermore, the control system also includes a communication module that supports Ethernet, USB, Bluetooth, or serial communication protocols.

[0017] 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 conjunction with the image information.

[0018] The beneficial effects of this utility model are as follows:

[0019] The energy surgery device provided by this invention accurately identifies tissue types and dynamically adjusts the energy output curve through a video solution, thereby optimizing cutting, hemostasis, and thermal damage. Attached Figure Description

[0020] Figure 1 This diagram shows a structural block diagram of the energy surgery device according to an embodiment of the present invention;

[0021] Figure 2 This diagram illustrates the structural block diagram of the energy surgery device of this embodiment (the image processing system and control system are integrated into one unit). Detailed Implementation

[0022] The energy-based surgical device provided by this utility model will be explained and described in detail below with reference to the accompanying drawings.

[0023] When cutting muscle tissue and blood vessels, if their impedances are similar, existing energy platforms may output the same power, leading to incomplete muscle cutting or insufficient hemostasis of blood vessels, and potentially causing excessive thermal damage to surrounding tissues. Furthermore, existing equipment cannot adaptively adjust to the doctor's operating habits, increasing the doctor's workload.

[0024] This invention provides an energy-based surgical device that uses a video-based approach to accurately identify tissue types and dynamically adjust the energy output curve, thereby optimizing cutting, hemostasis, and thermal damage. The following detailed description, in conjunction with specific embodiments, further illustrates this invention:

[0025] In some embodiments, the present invention provides an energy-based surgical device, such as... Figure 1 , Figure 2 As shown, the system includes: an endoscope system, an image processing system, a control system, an energy platform, and communication interfaces connecting the various components. The endoscope system acquires video data from the surgical area and transmits it to the image processing system via HDMI or other video output interfaces. The image processing system processes and outputs image information from the endoscope system, including images and video data. For example, it uses AI algorithms to identify tissue types and generate energy control commands. The control system receives the image information and energy control commands output by the image processing system and displays the corresponding energy (power) curves to achieve cutting, hemostasis, or vascular closure of different tissues. The energy platform connects to the surgical instruments and outputs energy according to the energy curves to enable the surgical instruments to perform the corresponding surgical operations.

[0026] In some embodiments, such 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, image processing module, and input / output control module, and processes the images. Optionally, the image processing system uses a general-purpose computer platform, internally integrating an image acquisition module and a GPU image processing module via a PCIe interface, as well as an input / output control module. These three boards work in coordination under the unified control of the CPU to identify tissues in the image. After identifying the tissue type, the CPU outputs control signals to the energy platform through the input / output control card. Further, the image acquisition module and GPU image processing module can use standard products on the market; for example, the image processing module can be an image acquisition card with a PCIe interface, and the image processing module can be an NVIDIA GPU card. In this embodiment, the image processing module uses a GPU or AI chip, and achieves tissue and instrument identification through a pre-trained deep learning model.

[0027] Optionally, the input / output control module should implement the following functions: energy platform parameter setting, such as setting power, output voltage, output current, and working mode: pure cutting, mixed cutting, coagulation, large blood vessel closure, etc. For ultrasonic scalpels, the working level 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.

[0028] The image processing system identifies the tissue being cut and its real-time cutting status, outputting corresponding signals to the control system. The control system then controls the energy platform. The energy output is analyzed using AI algorithms based on multiple parameters, including the tissue being cut, its state, impedance, temperature, thickness, and clamping force, resulting in different energy control curves to optimize cutting, hemostasis, and thermal damage. The AI ​​algorithm analysis uses image recognition to determine if the tissue contains large blood vessels. If so, the energy output can be reduced when using an ultrasonic scalpel, and if an electrocautery scalpel is used, it can switch to a large blood vessel closure mode, reducing the workload for doctors who frequently switch between different energy levels.

[0029] In some embodiments, the image processing system and the control system are integrated on the same platform. When the image processing system cannot identify the tissue, the system uses a non-image recognition method to output the energy control curve and provides prompts via sound or images.

[0030] The control system also includes a storage module for recording the power control curve of the energy platform and optimizing subsequent energy control strategies using machine learning algorithms. The control system also includes a display module connected to the image processing module, which can display images acquired by the endoscope for operator observation. The display module can be a touchscreen, allowing the operator to set the type of energy platform or its output characteristics. In some embodiments, the control system is also used to read real-time output parameters of the energy platform and dynamically adjust the energy output control signal in conjunction with image information.

[0031] In some embodiments, the energy platform is connected to surgical instruments, and the image processing system is also used to identify the types of surgical instruments. For example, a single surgery may require the use of multiple surgical instruments such as a high-frequency electrosurgical unit, Ligasure, and ultrasonic scalpel. After identifying the type of the surgical head, the image processing system automatically sets the energy parameters according to the tissue type, reducing the workload for doctors when changing instruments.

[0032] Optionally, the control system is also connected to an operation switch, which is used to indirectly control the energy platform. The control system controls the corresponding instruments on the energy platform based on the surgical instrument identification results. When the control system is used in conjunction with a traditional high-frequency electrosurgical energy platform (which cannot be parameterized): each interface of the energy platform has a corresponding foot switch for control. After the doctor changes instruments, the foot switch needs to be changed, which is cumbersome. The control system can also integrate a single foot switch detection function. When the image identifies that the doctor has selected different instruments, the output / input control module will output a control signal to the corresponding foot switch interface to activate the corresponding instrument, avoiding the need to frequently change foot switches when using different instruments.

[0033] In some embodiments, the control system further includes a communication module that supports Ethernet, USB, Bluetooth, or serial communication protocols.

[0034] In some embodiments, the operation of the energy surgery device includes: the endoscope capturing video of the surgical area and transmitting it via HDMI to the image acquisition card of the image processing system; the GPU loading a deep learning-based tissue recognition model to identify the tissue type in the field of view in real time (such as "3mm diameter blood vessel", "muscle tissue", etc.); the CPU calling a preset parameter library based on the recognition result: selecting "coagulation mode, 50W power" for blood vessels and "cutting mode, 80W power" for muscles; the control module sending the parameters to the high-frequency electrosurgical unit via a USB interface, and the electrosurgical unit outputting the corresponding energy; simultaneously, 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 the next automatic control.

[0035] In the description of this utility model, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this utility model and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model.

[0036] In this utility model, unless otherwise explicitly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0037] In the description of this specification, the references to terms such as "this embodiment," "an embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in a suitable manner in any at least one embodiment or example. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0038] 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 indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this utility model, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0039] The above are merely preferred embodiments of the present utility model and are not intended to limit the present utility model. Any modifications, equivalent substitutions, and simple improvements made on the substantive content of the present utility model should be included within the protection scope of the present utility model.

Claims

1. An energy-based surgical device, characterized in that, include: Endoscopic system; An image processing system is provided, wherein the endoscope system is connected to the image processing system, and the image processing system is used 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 based on the image information output by the image processing system.

2. The energy-based 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 images.

3. The energy-based surgical device according to claim 2, characterized in that, The image processing module uses a GPU or AI chip.

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

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

7. The energy-based surgical device according to claim 5, characterized in that, The energy platform is connected to the input / output control module, and the energy platform is connected to surgical instruments. The image processing system is also used to identify the type of surgical instruments.

8. The energy-based surgical device according to claim 7, characterized in that, The control system is also connected to an operation switch, which is connected to the input / output control module. The operation switch is used to control the energy platform, and the control system matches the operation switch according to the surgical instrument identification result.

9. The energy-based surgical device according to claim 5, characterized in that, The control system also includes a communication module that supports Ethernet, USB, Bluetooth, or serial communication protocols.

10. The energy surgical device according to any one of claims 1-9, 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 conjunction with the image information.

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