Intelligent color ultrasound probe special for intravenous injection

Abstract

The invention discloses a special intelligent color ultrasound probe for intravenous injection, which comprises a probe shell, a handle is fixedly mounted at one end of the probe shell, a probe body is fixedly mounted at the other end of the probe shell, a nozzle type positioning pen is mounted at one end of the probe body, and a button connected with the nozzle type positioning pen is fixedly mounted in the middle of the probe shell. The surface of the probe shell is fixedly provided with a probe system body, the probe body comprises a transducer and an acoustic lens, and one side of the transducer is connected with one side of the acoustic lens. Compared with traditional large-scale ultrasonic equipment, the designed probe is small in size, light in weight, convenient to carry about by medical staff, and capable of being used instantly at the bedside and in an infusion room; the patient does not need to be transferred to an ultrasonic examination room, so that the working efficiency and convenience are improved; the probe adopts a human engineering design and is convenient to hold and operate by a single hand; a nozzle type positioning pen is arranged, so that positioning marking is simpler, more convenient and faster, and extra marking tools are not needed.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment, and in particular to an intelligent color Doppler ultrasound probe dedicated to intravenous injection. Background Art

[0002] Intravenous injection is a common and important treatment and diagnostic procedure in clinical practice. However, for some patients, such as obese patients, elderly patients, infants and young children, those receiving long-term infusions, and those with poor vascular conditions due to illness, venipuncture is often difficult and challenging. Traditional venipuncture relies on medical staff to find the vein by visual observation and palpation. However, this method has a low puncture success rate when the blood vessels are not obvious or located deep, and is prone to multiple punctures, causing unnecessary pain and injury to patients and increasing the workload and time costs of medical staff. In addition, multiple punctures may also lead to complications such as local hematoma and phlebitis, which may affect treatment effectiveness and patient recovery.

[0003] In recent years, with the rapid development of electronic technology, sensor technology, image processing technology and artificial intelligence technology, technical support has been provided for the design of a color Doppler ultrasound probe for intravenous injection that is more powerful, easier to operate, has clearer imaging and is more intelligent. High-performance piezoelectric ceramic transducers, advanced digital signal processing chips, high-resolution LCD screens and rapidly developing deep learning algorithms have made it possible to develop a color Doppler ultrasound probe for intravenous injection that can meet clinical needs.

[0004] With the continuous development and popularization of ultrasound technology, ultrasound-guided venipuncture has gradually become an effective solution.

[0005] However, existing ultrasound equipment for venipuncture has some shortcomings: Traditional large-scale ultrasound equipment is bulky, heavy, and difficult to move, making it difficult to use immediately at the bedside, infusion room, and other places. Although some portable ultrasound devices are smaller in size, they are relatively simple in function, with limited imaging quality and resolution. The display of superficial veins is not clear enough, and the operation is complicated, requiring medical staff to undergo special training to master it. In addition, the accuracy, efficiency, and intelligence of existing ultrasound equipment in vein identification and positioning need to be improved. Summary of the Invention

[0006] The purpose of the present invention is to provide an intelligent color ultrasound probe dedicated to intravenous injection to solve the problems mentioned in the above background technology, such as the large size and bulk of traditional large-scale ultrasound equipment, which is inconvenient to move and difficult to use immediately at the bedside, infusion room, etc.; although some portable ultrasound devices are reduced in size, they have relatively simple functions, limited imaging quality and resolution, and the display of superficial veins is not clear enough. They are also complicated to operate and require medical staff to undergo special training to master them; in addition, the accuracy, efficiency and intelligence of vein identification and positioning of existing ultrasound equipment still need to be improved.

[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: an intelligent color ultrasound probe dedicated to intravenous injection, comprising a probe shell, a handle fixedly installed at one end of the probe shell, a probe body fixedly installed at the other end of the probe shell, a nozzle-type positioning pen installed at one end of the probe body, a button connected to the nozzle-type positioning pen fixedly installed in the middle of the probe shell, a probe system body fixedly installed on the surface of the probe shell, the probe body including a transducer and an acoustic lens, one side of the transducer connected to one side of the acoustic lens, a matching layer laid on the surface of the transducer, and the probe system body including a circuit design platform, a power management platform, a display interaction platform, a vein recognition and positioning platform and a data platform.

[0008] As a preferred technical solution of the present invention, the end of the acoustic lens away from the transducer is connected to the nozzle-type positioning pen. The transducer uses a high-frequency, high-resolution piezoelectric ceramic transducer with an operating frequency in the range of 7.5-10MHz. The number of array elements is 128, which are distributed in a linear array to achieve fine imaging of superficial veins. A multi-layer piezoelectric ceramic structure is adopted to improve energy conversion efficiency and sensitivity and enhance echo signal strength. The matching layer is coated with three layers of epoxy resin matching layers on the surface of the transducer, and each layer is one-quarter wavelength thick to optimize the transmission efficiency of sound waves between the transducer and human tissue and reduce reflection and energy loss. The acoustic lens is made of silicone material and is manufactured through a precision injection molding process. The convex curvature radius is optimized according to the transducer frequency and array element spacing to achieve good focusing of the ultrasonic beam and improve the lateral resolution and contrast of the imaging.

[0009] As a preferred technical solution of the present invention, the circuit design platform includes a transmitting circuit, a receiving circuit, a control processing circuit, an artificial intelligence module, a multimodal imaging fusion module, an intelligent vascular navigation module and an anti-interference module. The transmitting circuit drives the transducer to transmit energy, and the receiving circuit receives the image sensed by the probe body. The control processing circuit uses a high-performance digital signal processor as the core to accurately control the parameters of the transmitting and receiving circuits to achieve beamforming, digital filtering, image enhancement, feature extraction and vein recognition functions. It adopts dynamic focusing and dynamic aperture advanced beamforming algorithms to improve image resolution and clarity, uses digital filtering technology to remove clutter and noise, and enhances the image signal-to-noise ratio. Through histogram equalization and edge enhancement image enhancement algorithms, it highlights the vein structure and features. The artificial intelligence module is embedded with an artificial intelligence chip and a corresponding algorithm model to intelligently analyze and process the collected ultrasound images. During the training phase, a large amount of labeled venous ultrasound image data of different age groups, physical conditions, and parts is collected and used to train the base The neural network model of deep learning enables it to learn the characteristic patterns and classification rules of veins. In actual applications, after the probe collects images, it transmits them to the artificial intelligence module in real time, automatically identifying the vein position, direction, depth, and diameter parameters and judging the artery and vein. According to the blood flow characteristics and changes in blood vessel wall movement, it uses the principles of vascular dynamics to accurately locate the vein. The multimodal imaging fusion module images the veins. The intelligent vascular navigation module develops intelligent vascular navigation functions based on artificial intelligence algorithms and multimodal imaging data, analyzes the collected multimodal images, extracts the three-dimensional spatial information, direction and surrounding tissue structure of the veins, and uses the path planning algorithm to provide medical staff with puncture path planning and navigation. The puncture direction, angle and depth are indicated in real time on the display screen in the form of virtual guide lines, arrows or three-dimensional models. Dynamic tracking technology is used to monitor the position and movement status of the probe and puncture needle in real time, and the navigation information is dynamically adjusted to ensure safe and efficient puncture. The anti-interference module uses multi-layer wiring and shielding technology to reduce internal circuit signal crosstalk and electromagnetic interference.

[0010] As a preferred technical solution of the present invention, the transmitting circuit includes a high-voltage pulse generator, a power amplifier and an impedance matching network. The high-voltage pulse generator generates electrical pulses with adjustable amplitude, width and frequency. The power amplifier amplifies the generated pulses. The impedance matching network drives the transducer to transmit ultrasonic waves. The receiving circuit includes a low-noise amplifier, a bandpass filter, a variable gain amplifier, a detector and an analog-to-digital converter. The low-noise amplifier amplifies the echo signal, the bandpass filter removes noise and interference signals, the variable gain amplifier adjusts the dynamic range, the detector converts the radio frequency signal into a video signal, and the analog-to-digital converter converts the analog signal into a digital signal and transmits it to the control processing circuit.

[0011] As a preferred technical solution of the present invention, the multimodal imaging fusion module includes an elastic imaging unit and a photoacoustic imaging unit. The elastic imaging unit vibrates the tissue by emitting low-frequency excitation pulses, receives echo signals to calculate the distribution of tissue elastic coefficients, evaluates the elasticity and hardness of the blood vessel wall, and judges lesions and elastic changes. The micro-laser emission module integrated in the photoacoustic imaging unit emits laser pulses of specific wavelengths. The tissue absorbs light energy to generate thermal expansion and emits photoacoustic signals, which are received, processed and reconstructed to form photoacoustic images, reflecting the physiological and functional information of vascular blood oxygen saturation and metabolic state. Through image registration and fusion algorithms, the images of ultrasound imaging, elastic imaging and photoacoustic imaging are fused to provide medical staff with more comprehensive and rich vascular information. The anti-interference module includes an input and output interference unit, a communication interference unit and a coding interference unit. The input and output interference unit adopts filtering and voltage stabilization design to reduce the influence of power supply ripple and noise. Low-pass filters and voltage stabilization devices are installed at the input and output ends of the power supply to ensure the purity and stability of the power supply. The communication interference unit adopts encryption and anti-interference coding technology to improve data transmission reliability and security. Bluetooth and Wi-Fi The communication module uses advanced encryption algorithms to encrypt the transmitted data to prevent data theft and tampering. The coding interference unit uses error correction coding and spread spectrum coding to improve the anti-interference ability of communication signals in complex electromagnetic environments.

[0012] As an optimal technical solution of the present invention, the power management platform includes a power module, a charging management module and a power control module. The power module has a built-in rechargeable lithium battery with a battery capacity of 1800mAh and an operating voltage of 3.7-4.2V. The charging management module is equipped with a dedicated charging management chip, supports fast charging, and is connected to an external charger via a USB interface. The charging current is 1-2A and the charging time is about 1-2 hours. The charging management chip has overvoltage, overcurrent, overheating and short circuit protection functions to ensure safe and reliable charging. The power control module has an intelligent power management function, which automatically adjusts the power supply according to the working status, enters low power consumption mode when in standby mode, reduces energy consumption and extends battery life, and dynamically adjusts the power output according to the probe usage frequency and power requirements during operation to ensure stable system operation.

[0013] As a preferred technical solution of the present invention, the display interaction platform includes a display screen and an interactive interface module, the display screen is used to present a complete vein image, the interactive interface module realizes image zooming, translation, rotation, measurement, and marking functions through touch operations, and the interface setting function menu includes image mode switching B-type, M-type, color Doppler, elastic imaging, photoacoustic imaging, parameter setting gain, depth, frequency, image storage and playback, and data transmission function options. The display screen includes a first screen, a hinge, and a second screen, one end of the first screen is connected to one end of the hinge, and the other end of the hinge is connected to one end of the second screen.

[0014] As an optimal technical solution of the present invention, the vein recognition and positioning platform includes an image preprocessing module, a feature extraction module, a vein recognition module, an arteriovenous separate imaging module and a vein positioning module. The image preprocessing module performs denoising, enhancement and edge detection preprocessing on the collected ultrasound image to improve image quality and clarity, adopts median filtering and Gaussian filtering to remove noise, histogram equalization and grayscale transformation to enhance contrast, and uses the Canny edge detection algorithm to extract vein edge information. The feature extraction module extracts the grayscale, texture, shape and spatial position feature parameters of the vein from the preprocessed image, uses the grayscale co-occurrence matrix to extract texture features, extracts shape features through morphological operations, and extracts spatial position features in combination with the image coordinate system. The vein recognition module uses a classification algorithm based on machine learning or deep learning to analyze and identify the extracted features and judge the vein area. Commonly used machine learning algorithms include support vector machines, decision trees, random forests, and deep learning algorithms such as convolutional neural networks and recurrent neural networks. In the training phase, a large amount of labeled vein ultrasound image data is used to train the algorithm model and learn features. Patterns and classification rules are used. In actual applications, the collected images are input to realize automatic identification and positioning of veins. The separate imaging module for arteries and veins analyzes the blood flow velocity, direction, and structural characteristics of the blood vessel wall, uses artificial intelligence algorithms to distinguish between arteries and veins, realizes separate imaging display, and provides more accurate blood vessel information. The vein positioning module uses the principle of vascular dynamics to monitor the changes in blood flow and blood vessel wall movement in real time, analyzes the blood flow velocity change curve over time and the elastic deformation parameters of the blood vessel wall, and accurately locates the position and direction of the veins. Blood pulsation characteristic analysis is added to the algorithm to improve the accuracy and reliability of vein positioning according to the blood flow pattern and speed changes during the cardiac cycle.

[0015] As a preferred technical solution of the present invention, the data platform includes a data transmission module and an interface module. The data transmission module has built-in Bluetooth and Wi-Fi wireless communication modules, supports data transmission with external devices such as computers, tablets, and smart phones, and transmits the collected vein images, measurement data, and analysis results to the external device in real time through Bluetooth or Wi-Fi connection, facilitating medical staff to perform remote monitoring, data analysis, and case management. It supports the DICOM data exchange format, facilitating data interaction and sharing with the hospital's information system, image archiving, and communication system. The interface module is equipped with a USB Type-C interface for connecting an external charger.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. Compared with traditional large-scale ultrasound equipment, the probe of this design is small in size and light in weight, which is convenient for medical staff to carry with them. It can be used immediately at various places such as the bedside and infusion room, without the need to transfer the patient to the ultrasound examination room, thus improving work efficiency and convenience. 2. The probe adopts an ergonomic design and is easy to operate with one hand. It is equipped with a rotatable and slidable dual screen and a touch interactive interface, allowing medical staff to quickly and intuitively adjust images and perform operations. The built-in nozzle positioning pen makes positioning and marking easier and faster, without the need for additional marking tools. The sterile bagging system automatically sets the bag after positioning is completed, which is easy to operate, fast and efficient, and reduces the risk of cross-infection. The built-in disinfection system automatically disinfects after the sterile bag is set, spraying evenly, the disinfectant is efficient and non-irritating, and the spray volume and time are intelligently adjusted. 3. The use of high-frequency, high-resolution piezoelectric ceramic transducers and advanced image processing algorithms clearly displays the structure and details of superficial veins, improving the accuracy of vein identification and positioning, which is particularly advantageous for patients with poor vascular conditions. 4. The introduction of artificial intelligence technology enables automatic identification and separate imaging of arteries and veins, as well as precise vein positioning based on vascular dynamics principles. The addition of multimodal imaging fusion and intelligent vascular navigation functions provides medical staff with more comprehensive and accurate vascular information and puncture guidance, reducing errors and subjectivity in human judgment and improving the success rate and safety of punctures. At the same time, intelligent power management and anti-interference design ensure stable operation of the device in various environments. 5. This probe integrates ultrasound imaging, vein identification and positioning, and marking functions. It can complete the preparation for intravenous injection without the need for other equipment, simplifying the operation process, reducing equipment costs and usage barriers. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A perspective view of the present invention; Figure 2 Schematic diagram of the structure of the probe body of the present invention; Figure 3 Schematic diagram of the structure of the probe system of the present invention; Figure 4 Schematic diagram of the circuit design platform of the present invention; Figure 5 Schematic diagram of the architecture of the power management platform of the present invention; Figure 6 A schematic diagram showing the architecture of an interactive platform of the present invention; Figure 7 This is a schematic diagram of the architecture of the vein recognition and positioning platform of the present invention; Figure 8 This is a schematic diagram of the architecture of the data platform of the present invention; Figure 9 It is a partial schematic diagram of the present invention; Figure 10 It is a side view of the display screen of the present invention.

[0018] In the figure: 1. probe shell; 2. handle; 3. button; 4. probe system body; 41. circuit design platform; 411. transmitting circuit; 4111. high-voltage pulse generator; 4112. power amplifier; 4113. impedance matching network; 412. receiving circuit; 4121. low-noise amplifier; 4122. band-pass filter; 4123. variable-gain amplifier; 4124. detector; 4125. analog-to-digital converter; 413. control processing circuit; 414. artificial intelligence module; 415. multimodal imaging fusion module; 4151. elastic imaging unit; 4152. photoacoustic imaging unit; 416. intelligent vascular navigation module; 417. anti-interference module; 4171. input-output interference unit; 4172. Signal interference unit; 4173, coding interference unit; 42, power management platform; 421, power module; 422, charging management module; 423, power control module; 43, display interaction platform; 431, display screen; 4311, first screen; 4312, hinge; 4313, second screen; 432, interactive interface module; 44, vein recognition and positioning platform; 441, image preprocessing module; 442, feature extraction module; 443, vein recognition module; 444, arteriovenous separate imaging module; 445, vein positioning module; 45, data platform; 451, data transmission module; 452, interface module; 5, nozzle positioning pen; 6, probe body; 61, acoustic lens; 62, matching layer; 63, transducer. DETAILED DESCRIPTION

[0019] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] See also Figure 1-10 The present invention provides an intelligent color ultrasound probe dedicated to intravenous injection, including a probe shell 1, a handle 2 is fixedly installed at one end of the probe shell 1, a probe body 6 is fixedly installed at the other end of the probe shell 1, a nozzle-type positioning pen 5 is installed at one end of the probe body 6, a button 3 connected to the nozzle-type positioning pen 5 is fixedly installed in the middle of the probe shell 1, a probe system body 4 is fixedly installed on the surface of the probe shell 1, the probe body 6 includes a transducer 63 and an acoustic lens 61, one side of the transducer 63 is connected to one side of the acoustic lens 61, and a matching layer 62 is laid on the surface of the transducer 63. The probe system body 4 includes a circuit design platform 41, a power management platform 42, a display interaction platform 43, a vein recognition and positioning platform 44 and a data platform 45.

[0021] The end of the acoustic lens 61 away from the transducer 63 is connected to the nozzle-type positioning pen 5. The transducer 63 uses a high-frequency, high-resolution piezoelectric ceramic transducer with an operating frequency in the range of 7.5-10MHz. The number of array elements is 128, which are distributed in a linear array to achieve fine imaging of superficial veins. A multi-layer piezoelectric ceramic structure is adopted to improve energy conversion efficiency and sensitivity and enhance echo signal strength. The matching layer 62 is coated with three layers of epoxy resin matching layers 62 on the surface of the transducer 63, and each layer is a quarter wavelength thick to optimize the transmission efficiency of sound waves between the transducer 63 and human tissue, reduce reflection and energy loss, and reduce the reflection and energy loss. The acoustic lens 61 is made of silicone material and is manufactured by precision injection molding. The convex curvature radius is optimized according to the frequency of the transducer 63 and the array element spacing to achieve good focusing of the ultrasonic beam and improve the lateral resolution and contrast of the imaging.

[0022] The circuit design platform 41 includes a transmitting circuit 411, a receiving circuit 412, a control processing circuit 413, an artificial intelligence module 414, a multimodal imaging fusion module 415, an intelligent vascular navigation module 416 and an anti-interference module 417. The transmitting circuit 411 drives the transducer 63 to transmit energy, and the receiving circuit 412 receives the image sensed by the probe body 6. The control processing circuit 413 uses a high-performance digital signal processor as the core to accurately control the parameters of the transmitting and receiving circuits to achieve beamforming, digital filtering, image enhancement, feature extraction and vein recognition functions. It adopts dynamic focusing and dynamic aperture advanced beamforming algorithms to improve image resolution and clarity, uses digital filtering technology to remove clutter and noise, and enhances the image signal-to-noise ratio. Through histogram equalization and edge enhancement image enhancement algorithms, it highlights the vein structure and features. The artificial intelligence module 414 is embedded with an artificial intelligence chip and a corresponding algorithm model to intelligently analyze and process the collected ultrasound images. During the training phase, a large amount of labeled venous ultrasound image data of different age groups, physical conditions, and parts is collected and used for training. A neural network model based on deep learning is trained to learn the characteristic patterns and classification rules of veins. In actual applications, after the probe collects images, it is transmitted to the artificial intelligence module 414 in real time, which automatically identifies the position, direction, depth, and diameter parameters of the veins and determines the arteriovenous relationship. According to the blood flow characteristics and changes in the movement of the blood vessel wall, it uses the principles of vascular dynamics to accurately locate the veins. The multimodal imaging fusion module 415 images the veins. The intelligent vascular navigation module 416 develops intelligent vascular navigation functions based on artificial intelligence algorithms and multimodal imaging data, analyzes the collected multimodal images, and extracts the three-dimensional spatial information, direction, and surrounding tissue structure of the veins. The path planning algorithm is used to provide medical staff with puncture path planning and navigation. The display screen 431 indicates the puncture direction, angle, and depth in real time in the form of virtual guide lines, arrows, or three-dimensional models. Dynamic tracking technology is used to monitor the position and movement status of the probe and puncture needle in real time, and the navigation information is dynamically adjusted to ensure safe and efficient puncture. The anti-interference module 417 uses multi-layer wiring and shielding technology to reduce internal circuit signal crosstalk and electromagnetic interference.

[0023] The transmitting circuit 411 includes a high-voltage pulse generator 4111, a power amplifier 4112 and an impedance matching network 4113. The high-voltage pulse generator 4111 generates electrical pulses with adjustable amplitude, width and frequency. The power amplifier 4112 amplifies the generated pulses. The impedance matching network 4113 drives the transducer 63 to transmit ultrasonic waves. The receiving circuit 412 includes a low-noise amplifier 4121, a bandpass filter 4122, a variable gain amplifier 4123, a detector 4124 and an analog-to-digital converter 4125. The low-noise amplifier 4121 amplifies the echo signal, the bandpass filter 4122 removes noise and interference signals, the variable gain amplifier 4123 adjusts the dynamic range, the detector 4124 converts the RF signal into a video signal, and the analog-to-digital converter 4125 converts the analog signal into a digital signal and transmits it to the control processing circuit 413.

[0024] The multimodal imaging fusion module 415 includes an elastic imaging unit 4151 and a photoacoustic imaging unit 4152. The elastic imaging unit 4151 vibrates the tissue by emitting low-frequency excitation pulses, receives echo signals to calculate the distribution of tissue elastic coefficients, evaluates the elasticity and hardness of the blood vessel wall, and determines lesions and elastic changes. The micro-laser emission module integrated in the photoacoustic imaging unit 4152 emits laser pulses of a specific wavelength. The tissue absorbs light energy to generate thermal expansion and emits photoacoustic signals. The received, processed and reconstructed photoacoustic images reflect the physiological and functional information of vascular oxygen saturation and metabolic status. Through image registration and fusion, A combined algorithm fuses ultrasound imaging, elastic imaging, and photoacoustic imaging images to provide medical staff with more comprehensive and rich vascular information. The anti-interference module 417 includes an input-output interference unit 4171, a communication interference unit 4172, and a coding interference unit 4173. The input-output interference unit 4171 adopts a filtering and voltage stabilization design to reduce the impact of power supply ripple and noise. Low-pass filters and voltage stabilization devices are installed at the power input and output ends to ensure pure and stable power supply. The communication interference unit 4172 adopts encryption and anti-interference coding technology to improve data transmission reliability and security. The Bluetooth and Wi-Fi communication modules use advanced encryption algorithms to encrypt transmitted data to prevent data theft and tampering. The coding interference unit 4173 adopts error correction coding, spread spectrum coding and anti-interference coding methods to improve the anti-interference ability of communication signals in complex electromagnetic environments.

[0025] The power management platform 42 includes a power module 421, a charging management module 422 and a power control module 423. The power module 421 has a built-in rechargeable lithium battery with a battery capacity of 1800mAh and an operating voltage of 3.7-4.2V. The charging management module 422 is equipped with a dedicated charging management chip, supports fast charging, and is connected to an external charger via a USB interface. The charging current is 1-2A and the charging time is about 1-2 hours. The charging management chip has overvoltage, overcurrent, overheating and short circuit protection functions to ensure safe and reliable charging. The power control module 423 has an intelligent power management function, which automatically adjusts the power supply according to the working status, enters low power consumption mode when in standby mode, reduces energy consumption and extends battery life, and dynamically adjusts the power output according to the frequency of probe use and power requirements during operation to ensure stable system operation.

[0026] The display interaction platform 43 includes a display screen 431 and an interactive interface module 432. The display screen 431 is used to present a complete vein image. The interactive interface module 432 realizes image zooming, translation, rotation, measurement, and marking functions through touch operations. The interface setting function menu includes image mode switching B-type, M-type, color Doppler, elastic imaging, photoacoustic imaging, parameter setting gain, depth, frequency, image storage and playback, and data transmission function options. The display screen 431 includes a first screen 4311, a hinge 4312, and a second screen 4313. One end of the first screen 4311 is connected to one end of the hinge 4312, and the other end of the hinge 4312 is connected to one end of the second screen 4313.

[0027] The vein recognition and positioning platform 44 includes an image preprocessing module 441, a feature extraction module 442, a vein recognition module 443, an arteriovenous separate imaging module 444 and a vein positioning module 445. The image preprocessing module 441 performs denoising, enhancement and edge detection preprocessing on the collected ultrasound image to improve image quality and clarity. It uses median filtering and Gaussian filtering to remove noise, histogram equalization and grayscale transformation to enhance contrast, and uses the Canny edge detection algorithm to extract vein edge information. The feature extraction module 442 extracts the grayscale, texture, shape and spatial position feature parameters of the vein from the preprocessed image, uses the grayscale co-occurrence matrix to extract texture features, extracts shape features through morphological operations, and extracts spatial position features in combination with the image coordinate system. The vein recognition module 443 uses a classification algorithm based on machine learning or deep learning to analyze and identify the extracted features and determine the vein area. Common machine learning algorithms include support vector machines, decision trees, random forests, and deep learning algorithms such as convolutional neural networks and recurrent neural networks. In the training phase, a large amount of labeled vein ultrasound image data is used to train the algorithm model and learn features. Patterns and classification rules, in actual applications, the collected images are input to realize automatic identification and positioning of veins. The separate arteriovenous imaging module 444 analyzes the blood flow velocity, direction, and vascular wall structural characteristics, uses artificial intelligence algorithms to distinguish arteries and veins, realizes separate imaging display, and provides more accurate vascular information. The vein positioning module 445 uses the principles of vascular dynamics to monitor blood flow and vascular wall movement changes in real time, analyzes the blood flow velocity change curve over time and the vascular wall elastic deformation parameters, and accurately locates the position and direction of the veins. Blood pulsation characteristic analysis is added to the algorithm to improve the accuracy and reliability of vein positioning according to the blood flow pattern and velocity changes in the cardiac cycle.

[0028] The data platform 45 includes a data transmission module 451 and an interface module 452. The data transmission module 451 has built-in Bluetooth and Wi-Fi wireless communication modules, which support data transmission with external devices such as computers, tablets, and smart phones. The collected vein images, measurement data, and analysis results are transmitted to the external device in real time through Bluetooth or Wi-Fi connection, which facilitates medical staff to conduct remote monitoring, data analysis, and case management. It supports the DICOM data exchange format, which facilitates data interaction and sharing with the hospital's information system, image archiving and communication system. The interface module 452 is equipped with a USB Type-C interface for connecting an external charger.

[0029] In the present invention, the probe shell 1 is designed to be ergonomically streamlined, 8-10 cm long, 4-5 cm wide, 2-3 cm high, and weighs about 120-180 g. The front end is the detection surface and the rear end is the handle 2, which is convenient for medical staff to hold and operate with one hand. The probe shell 1 adopts a bendable design with a bending angle between 0-90 degrees, which is achieved by the internal embedded flexible joint and drive mechanism. Medical staff adjust the bending angle through the control button 3 or knob on the handle 2 to adapt to the vein detection needs of different parts and angles. The shell is made of high-strength medical-grade polycarbonate (PC) material, which is wear-resistant, corrosion-resistant and has good biocompatibility. The surface is anti-slip and antibacterial treated to enhance operational stability and hygiene; its special sealing design reaches IPX7 waterproof level, which can prevent liquid intrusion to a certain extent, and at the same time has anti-fall and anti-collision performance, and can withstand 1-1.5 The probe is equipped with a retractable nozzle-type positioning pen 5 inside the front end, which is usually retracted inside. When in use, the extension and retraction are controlled by the button 3 on the handle 2. The pen tip is a micro nozzle design with a diameter of 0.5-1mm, can spray out tiny and precise pigment dots or lines, equipped with a variety of medical pigments, such as blue and green, which can be switched by buttons. The pigments are safe and harmless to human skin, easy to clean and have a certain durability. They are not easy to wipe off during puncture operations. The spray intensity and frequency are adjusted to meet different marking needs. It also has an automatic sensing function. After detecting the vein, it automatically sprays the pigment mark when it is close to it, reducing manual operation. The pigment storage box is detachable and replaceable for easy replenishment of pigments. After completing the vein positioning, the probe starts the automatic sterile bag installation system. The system is easy to operate and can quickly and accurately cover the probe with a disposable sterile bag. The sterile bag material meets the requirements of different standards. It meets medical standards and has good barrier performance, effectively avoiding direct contact between the probe and the patient's skin to prevent cross infection. The system is equipped with a sterile bag storage bin to store a certain number of sterile bags for easy access at any time. The sleeve installation action is fast and efficient without affecting subsequent operations. It is located after the sterile bag automatic sleeve installation system. After the sleeve installation is completed, the disinfection nozzle sprays disinfection spray to disinfect the probe detection surface and the outside of the sterile bag. The disinfection spray uses a high-efficiency, non-irritating medical disinfectant that can quickly kill common pathogens and microorganisms. The nozzle sprays evenly, and the spray volume and time are intelligently adjusted. This intravenous injection-specific color Doppler ultrasound probe significantly improves the success rate of venipuncture and reduces punctures. The device reduces the number of punctures and procedure time, thereby improving medical efficiency and reducing the workload of medical staff. It also reduces the occurrence of puncture complications, enhances patient treatment experience and satisfaction, helps improve the hospital's overall medical quality and reputation, and reduces the waste of medical supplies and prolonged patient treatment time caused by multiple punctures. The device's portability and multifunctional integration reduce hospitals' reliance on large ultrasound equipment, saving equipment purchase and maintenance costs. It also improves puncture success rates and reduces subsequent treatment costs caused by puncture failures. It is suitable for infusion rooms, emergency departments, operating rooms, pediatric departments at all levels of hospitals, as well as community medical centers and clinics. With the aging population, the increasing number of obese people, and the development of medical technology, the demand for precise venous puncture positioning will continue to grow, presenting a broad market prospect. Compared with existing similar products, this probe has significant advantages in portability, ease of operation, imaging quality, and intelligent functions, standing out in the market and bringing higher market share and profit margins to enterprises. The launch of this design will promote the innovation and development of intravenous injection technology, provide reference and ideas for the research and development of other related medical devices, and help improve the technical level and innovation capabilities of the entire medical industry, with significant social value and economic benefits.

[0030] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent color Doppler ultrasound probe for intravenous injection, comprising a probe housing (1), characterized in that: A handle (2) is fixedly mounted on one end of the probe shell (1), a probe body (6) is fixedly mounted on the other end of the probe shell (1), a nozzle-type positioning pen (5) is mounted on one end of the probe body (6), a button (3) connected to the nozzle-type positioning pen (5) is fixedly mounted in the middle of the probe shell (1), a probe system body (4) is fixedly mounted on the surface of the probe shell (1), the probe body (6) includes a transducer (63) and an acoustic lens (61), one side of the transducer (63) is connected to one side of the acoustic lens (61), and a matching layer (62) is laid on the surface of the transducer (63), and the probe system body (4) includes a circuit design platform (41), a power management platform (42), a display interaction platform (43), a vein recognition and positioning platform (44) and a data platform (45).

2. The intelligent color Doppler ultrasound probe for intravenous injection according to claim 1, characterized in that: One end of the acoustic lens (61) away from the transducer (63) is connected to the nozzle-type positioning pen (5).

3. The intelligent color Doppler ultrasound probe for intravenous injection according to claim 1, characterized in that: The circuit design platform (41) includes a transmitting circuit (411), a receiving circuit (412), a control processing circuit (413), an artificial intelligence module (414), a multimodal imaging fusion module (415), an intelligent vascular navigation module (416) and an anti-interference module (417). The transmitting circuit (411) drives the transducer (63) to transmit energy, and the receiving circuit (412) receives the image sensed by the probe body (6). The control processing circuit (413) uses a high-performance digital signal processor as the core to accurately control the parameters of the transmitting and receiving circuits to achieve beamforming, digital filtering, image enhancement, feature extraction and vein recognition functions. It adopts dynamic focusing and dynamic aperture advanced beamforming algorithms to improve image resolution and clarity, uses digital filtering technology to remove clutter and noise, and enhances the image signal-to-noise ratio. Through histogram equalization and edge enhancement image enhancement algorithms, it highlights the vein structure and features. The artificial intelligence module (414) is embedded with an artificial intelligence chip and a corresponding algorithm model to intelligently analyze and process the collected ultrasound images. During the training phase, a large number of labeled static images of different age groups, physical conditions, and body parts are collected. Pulse ultrasound image data is used to train a neural network model based on deep learning, so that it learns vein feature patterns and classification rules. In actual application, after the probe collects the image, it is transmitted to the artificial intelligence module (414) in real time, which automatically identifies the vein position, direction, depth, and diameter parameters and judges the artery and vein. According to the blood flow characteristics and changes in the movement of the blood vessel wall, it uses the principle of vascular dynamics to accurately locate the vein. The multimodal imaging fusion module (415) images the vein. The intelligent vascular navigation module (416) develops an intelligent vascular navigation function based on artificial intelligence algorithms and multimodal imaging data, analyzes the collected multimodal images, extracts the three-dimensional spatial information, direction and surrounding tissue structure of the vein, and uses the path planning algorithm to provide medical staff with puncture path planning and navigation. The puncture direction, angle and depth are indicated in real time on the display screen (431) in the form of virtual guide lines, arrows or three-dimensional models. Dynamic tracking technology is used to monitor the position and movement status of the probe and puncture needle in real time, and the navigation information is dynamically adjusted to ensure safe and efficient puncture. The anti-interference module (417) uses multi-layer wiring and shielding technology to reduce internal circuit signal crosstalk and electromagnetic interference.

4. The intelligent color Doppler ultrasound probe for intravenous injection according to claim 3, characterized in that: The transmitting circuit (411) includes a high-voltage pulse generator (4111), a power amplifier (4112) and an impedance matching network (4113). The high-voltage pulse generator (4111) generates electric pulses with adjustable amplitude, width and frequency. The power amplifier (4112) amplifies the generated pulses. The impedance matching network (4113) drives the transducer (63) to transmit ultrasonic waves. The receiving circuit (412) includes a low-noise amplifier (4121), a bandpass filter (4122), a variable gain amplifier (4123), a detector (4124) and an analog-to-digital converter (4125). The low-noise amplifier (4121) amplifies the echo signal. The bandpass filter (4122) removes noise and interference signals. The variable gain amplifier (4123) adjusts the dynamic range. The detector (4124) converts the radio frequency signal into a video signal. The analog-to-digital converter (4125) converts the analog signal into a digital signal and transmits it to the control processing circuit (413).

5. The intelligent color Doppler ultrasound probe for intravenous injection according to claim 3, characterized in that: The multimodal imaging fusion module (415) includes an elastic imaging unit (4151) and a photoacoustic imaging unit (4152). The elastic imaging unit (4151) vibrates the tissue by emitting low-frequency excitation pulses, receives echo signals to calculate the distribution of tissue elastic coefficients, evaluates the elasticity and hardness of the blood vessel wall, and determines lesions and elastic changes. The micro-laser emission module integrated in the photoacoustic imaging unit (4152) emits laser pulses of a specific wavelength. The tissue absorbs light energy to generate thermal expansion and emits photoacoustic signals. The received, processed, and reconstructed photoacoustic images reflect the blood oxygen saturation, metabolic state, physiological and functional information of the blood vessels. Through image registration and fusion algorithms, the image is reconstructed to form a photoacoustic image. The method integrates the images of ultrasound imaging, elastic imaging and photoacoustic imaging to provide medical staff with more comprehensive and rich vascular information. The anti-interference module (417) includes an input and output interference unit (4171), a communication interference unit (4172) and a coding interference unit (4173). The input and output interference unit (4171) adopts filtering and voltage stabilization design to reduce the influence of power supply ripple and noise. Low-pass filters and voltage stabilization devices are installed at the input and output ends of the power supply to ensure that the power supply is pure and stable. The communication interference unit (4172) adopts encryption and anti-interference coding technology to improve the reliability and security of data transmission. The Bluetooth and Wi-Fi communication modules adopt advanced encryption algorithms to encrypt the transmitted data to prevent data theft and tampering. The coding interference unit (4173) adopts error correction coding, spread spectrum coding and anti-interference coding methods to improve the anti-interference ability of communication signals in complex electromagnetic environments.

6. The intelligent color Doppler ultrasound probe for intravenous injection according to claim 1, characterized in that: The power management platform (42) includes a power module (421), a charging management module (422) and a power control module (423). The power module (421) has a built-in rechargeable lithium battery with a battery capacity of 1800mAh and an operating voltage of 3.7-4.2V. The charging management module (422) is equipped with a dedicated charging management chip to support fast charging. It is connected to an external charger via a USB interface with a charging current of 1-2A and a charging time of about 1-2 hours. The charging management chip has overvoltage, overcurrent, overheating and short circuit protection functions to ensure safe and reliable charging. The power control module (423) has an intelligent power management function to automatically adjust the power supply according to the working status and enter a low power consumption mode when in standby mode to reduce energy consumption and extend battery life. When working, the power output is dynamically adjusted according to the frequency of use and power requirements of the probe to ensure stable operation of the system.

7. The intelligent color Doppler ultrasound probe for intravenous injection according to claim 1, characterized in that: The display interaction platform (43) includes a display screen (431) and an interactive interface module (432), wherein the display screen (431) is used to present a complete vein image, and the interactive interface module (432) realizes image zooming, translation, rotation, measurement, and marking functions through touch operations, and the interface setting function menu includes image mode switching B-type, M-type, color Doppler, elastic imaging, photoacoustic imaging, parameter setting gain, depth, frequency, image storage and playback, and data transmission function options. The display screen (431) includes a first screen (4311), a hinge (4312), and a second screen (4313), wherein one end of the first screen (4311) is connected to one end of the hinge (4312), and the other end of the hinge (4312) is connected to one end of the second screen (4313).

8. The intelligent color Doppler ultrasound probe for intravenous injection according to claim 1, characterized in that: The vein identification and positioning platform (44) includes an image preprocessing module (441), a feature extraction module (442), a vein identification module (443), an arteriovenous separate imaging module (444) and a vein positioning module (445). The image preprocessing module (441) performs denoising, enhancement and edge detection preprocessing on the collected ultrasound image to improve image quality and clarity, adopts median filtering and Gaussian filtering to remove noise, histogram equalization and grayscale transformation to enhance contrast, and uses Canny edge detection algorithm to extract vein edge information. The feature extraction module (442) extracts the grayscale, texture, shape and spatial position feature parameters of the vein from the preprocessed image, uses grayscale co-occurrence matrix to extract texture features, extracts shape features through morphological operations, and extracts spatial position features in combination with the image coordinate system. The vein identification module (443) uses a classification algorithm based on machine learning or deep learning to analyze and identify the extracted features and judge the vein area. Common machine learning algorithms include support vector machines, decision trees, random forests, and deep learning algorithms such as convolutional neural networks and recurrent neural networks. In the training phase, a large amount of labeled vein ultrasound image data is used to train the algorithm model and learn features. Patterns and classification rules are used. In actual applications, the collected images are input to realize automatic identification and positioning of veins. The arteriovenous separate imaging module (444) analyzes the blood flow velocity, direction, and vascular wall structural characteristics, uses artificial intelligence algorithms to distinguish arteries and veins, realizes separate imaging display, and provides more accurate vascular information. The vein positioning module (445) uses the principle of vascular dynamics to monitor the blood flow and vascular wall movement changes in real time, analyzes the blood flow velocity change curve over time and the vascular wall elastic deformation parameters, and accurately locates the position and direction of the veins. Blood pulsation characteristic analysis is added to the algorithm to improve the accuracy and reliability of vein positioning according to the blood flow pattern and velocity changes during the cardiac cycle.

9. The intelligent color Doppler ultrasound probe for intravenous injection according to claim 1, characterized in that: The data platform (45) includes a data transmission module (451) and an interface module (452). The data transmission module (451) has built-in Bluetooth and Wi-Fi wireless communication modules, supports data transmission with external devices such as computers, tablet computers, and smart phones, and transmits the collected vein images, measurement data, and analysis results to the external devices in real time through Bluetooth or Wi-Fi connection, which facilitates medical staff to perform remote monitoring, data analysis, and case management. It supports the DICOM data exchange format and facilitates data interaction and sharing with the hospital's information system, image archiving, and communication system. The interface module (452) is equipped with a USB Type-C interface for connecting to an external charger.

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