98 results about "Capsule Endoscopes" patented technology

The invention relates to the technical field of medical instruments, in particular to a capsule endoscopy focus automatic identification and positioning system. The system comprises an image acquisition module, an intelligent analysis module and a space positioning module. The image acquisition module receives an alimentary canal image sequence captured by the capsule endoscopy; the intelligent analysis module is integrated with a pre-trained deep convolutional neural network, analyzes the image frame by frame, and outputs a pixel-level segmentation mask identifying the contour and type of the focus; and the spatial positioning module estimates the pose of the capsule endoscopy and constructs a topological map of the inner wall of the digestive tract by analyzing the motion of feature points in the image sequence and combining a visual odometer and a graph optimization SLAM algorithm, and finally maps the recognized focus to specific coordinates of the map. According to the invention, automatic identification and accurate positioning of the nidus of the digestive tract are realized.

The invention relates to the technical field of image processing, in particular to a small intestine capsule endoscope target detection method which comprises the following steps: acquiring a small intestine capsule endoscope image; the method comprises the following steps: constructing an improved RT-DETR network, inserting an SCSA module between a backbone network and a neck network of the RT-DETR, and introducing a DFM module behind a three-branch Fusion module of the neck network; and the improved RT-DETR network adopts a Focaler-IoU loss function. According to the method, the problem that the accuracy of recognizing the tumor target by using the small intestine capsule endoscope image through RT-DETR needs to be further improved is solved.

According to aspects of the present disclosure, a system includes at least one processor and at least one memory storing instructions that, when executed by the processor(s), cause the system to: obtain images of a portion of a gastrointestinal tract (GIT) captured by a capsule endoscopy device; for each of the images, provide, by a deep learning neural network, a score classifying the image into each of successive segments of the GIT; classify each image of a subset of the images for which the score meets a confidence criterion into one of the successive segments of the GIT; refine the classification of the images in the subset by processing signals corresponding to the classification of the images in the subset over time; and estimate, among the images in the subset, a transition between two adjacent segments of the GIT based on the refined classification of the images in the subset (1010).

The present disclosure describes a communication system and a communication method for receiving data of a capsule endoscope, the communication system comprising a receiving device and a processing device, the receiving device comprising a plurality of receivers in communication connection with each other, the capsule endoscope processing image data into a plurality of data packet sets, each data packet set comprises at least one data packet and the number information of the data packets, the capsule endoscope sends the plurality of data packet sets to each receiver in sequence, and the receivers receive the plurality of data packet sets in sequence and identify the integrity of the data packets to generate an identification result; the receiver judges the integrity of the data packet set based on the identification result and the quantity information to generate a target instruction and broadcasts the target instruction to other receivers in the processing device and the receiving device, and at least one receiver transmits the data packets to the processing device based on the target instruction to enable the processing device to obtain the complete data packet set. As a result, it is possible to provide a communication system for receiving data of a capsule endoscope, which improves the efficiency of receiving image data.

A suspension device and a capsule endoscope magnetic control system are provided. The suspension device includes a base, including a pairing portion; a suspension member, at least part of the suspension member is disposed within the base; an intermediate member, which is disposed on an upper end of the suspension member; and an adsorption component, which is disposed above the intermediate member. When the adsorption component has no adsorption force, the intermediate member is pressed against the upper end of the suspension member so that at least part of the suspension member abuts against the pairing portion and the suspension member is locked. When the adsorption component has the adsorption force, the intermediate member is driven to move vertically so that at least part of the suspension member is separated from the pairing portion and a posture of the suspension member is appropriate for adjustment.

The invention discloses a self-adaptive recognition system for medical capsule endoscope streaming images, and the system comprises a feature extraction module which is used for receiving a real-time image stream obtained in a scanning process, and extracting the features of a current frame image; the feature buffer comprises a feature slot position and an activeness counter, the feature slot position is used for storing stock features of the scanned intestinal tract area image, and the activeness counter is used for recording the activeness of the feature slot position; the updating module is used for updating the activeness of the feature slot position; the gain adjusting module is used for generating a gain weight aiming at the current frame image through bidirectional biological plasticity adjusting logic; the training optimization module is used for injecting the gain weight into a loss calculation loop of the classifier module and correcting physical parameters of a classifier in real time through back propagation; and the classifier module is used for outputting a prediction classification result according to the current frame image features. According to the method, the problem of model performance degradation caused by non-uniform motion states of the capsule endoscope can be relieved, and the prediction accuracy is improved.

The present disclosure generally relates to a compact, conformal space-filling antenna system integrated within an ingestible capsule endoscope. The system utilizes a coplanar waveguide (CPW)-fed antenna, featuring a notched ground plane, a meandering radiating patch, and a parasitic patch, both designed in a serpentine pattern. This configuration enables operation at two distinct frequency bands: approximately 0.915 GHz with a 150 MHz bandwidth and 2.4 GHz with a 350 MHz bandwidth. The capsule houses a central processing unit for data transmission and sleep / wake-up functionality, powered by an internal battery. The antenna's conformal design maximizes space utilization within the cylindrical capsule, ensuring efficient wireless communication for medical diagnostic applications.

This application provides a method, device, storage medium, and computer equipment for screening redundant images from a gastrointestinal capsule endoscopy image set. The screening method includes: identifying feature points in each frame of a gastrointestinal capsule endoscopy image set; matching feature points between adjacent frames to obtain matching feature points and a feature matching rate; calculating the relative motion distance between adjacent frames based on the matching feature points; performing feature distribution difference analysis on adjacent frames to obtain a difference degree; calculating the redundancy degree of adjacent frames based on the feature matching rate, relative motion distance, and difference degree; and removing or retaining the next frame in the adjacent frames based on the redundancy degree. This screening method comprehensively considers multiple factors and dynamically adjusts the screening conditions to adapt to different scenarios, improving the accuracy and effectiveness of redundant image screening.

This invention discloses a shielding device and a magnetically controlled capsule endoscope system. The shielding device is used to shield a strongly magnetic control component supported by a support frame. It includes a shielding cover and a lifting mechanism. The shielding cover is connected to the lifting mechanism, which drives the shielding cover to slide towards or away from the control component. The shielding device also includes a limiting structure that contacts the control component and / or the support frame to restrict movement of the control component supported by the support frame. This invention effectively shields the magnetic field of the control component by using a shielding device.

The invention provides a magnetic control capsule endoscope robot with a puncture biopsy taking function. Comprising a biopsy puncture needle module located at the front end, a capsule shell module, a fixing leg located at the tail end, a waterproof plug, a cam, a height-variable rotating ring device, an internal magnet, a camera module, a positioning pin, a positioning pin, a spring, a rotating table device and an external magnet. A traditional enteroscopy mode is replaced, and the workload of enteroscopy doctors and the pain degree of patient examination are reduced.

A medical image processing system according to the present invention includes a communication unit configured to receive images captured from a capsule endoscope; and a processing unit configured to generate readout images from the captured images using lesion model results trained by a lesion classification method, wherein the processing unit configured to apply the captured images to a pre-trained abnormal lesion classification model to classify images containing pre-set lesion, reclassify the classified images into lesion images and normal images, select representative images representing the lesion images from the classified lesion images, and generate the selected representative images as the readout images.

The utility model discloses a double-lens capsule endoscope and a double-lens capsule endoscope shell, and relates to the technical field of capsule endoscopes. The double-lens capsule endoscope shell comprises a barrel-shaped main shell with openings in the two ends, and an axial limiting protrusion is arranged at only one end of the inner circumferential face of the main shell in the axial direction so as to axially limit a capsule core installed in the main shell from the other end in the axial direction. When the capsule core is applied to the double-lens capsule endoscope, the capsule core enters from the end, not provided with the axial limiting protrusion, of the main shell till the capsule core axially moves to abut against the axial limiting protrusion. At the moment, the main shell can axially position the capsule core in the assembling process based on the structure of the main shell, the capsule core is prevented from being separated from the end, provided with the axial limiting protrusion, of the main shell, the assembling difficulty of the capsule endoscopy can be lowered, and therefore the production efficiency is improved.

This application discloses a clamping tool and clamping system suitable for assembling capsule endoscopes. The clamping tool includes a base and a suction cup. The base includes a first end face and a second end face facing away from each other axially. A groove is provided on the first end face, and the base has a vent hole connecting the groove wall to the second end face. The suction cup is mounted on the first end face, at least covering the groove to form an adsorption space with the groove wall. The suction cup has a vent hole communicating with the adsorption space. When a vacuum is evacuated from the adsorption space through the vent hole, the suction cup pulls the capsule optical front cover to adhere to the groove wall. When the vacuum is broken from the adsorption space through the vent hole, allowing the suction cup to return to its initial state, the suction cup separates from the groove wall, and under the action of gravity, at least a portion of the suction cup protrudes from the first end face in a direction away from it. Through this method, this application can improve the assembly accuracy and optical imaging quality of capsule endoscopes.

The present application relates to a kind of NIR-IIb window excitation fluorescence imaging capsule endoscope systems, including NIR-IIb window excitation capsule endoscope, nanoprobes and image receiving and processing module;Capsule endoscope is encapsulated integrated with light source and image acquisition module, microcontroller, wireless communication module, power module and motion control module;Light source and image acquisition module include multiple white light LED, NIR-IIb laser diode and miniature camera;After excitation by NIR-IIb light source, the specific green fluorescence of pathological tissue is emitted by the upconversion nanoprobes absorbed;Image receiving and processing module are connected with microcontroller by wireless communication module, for issuing control instruction to microcontroller, receive the image signal collected by miniature camera and handle.Compared with prior art, the present application can realize high penetration depth, high contrast and high signal-to-noise ratio detection of gastrointestinal lesion tissue under the premise of non-invasive.

The present disclosure relates to medical robots, in particular to a magnetic capsule endoscope autonomous control method and system combining Tube model predictive control and reinforcement learning, which solves the problems of poor robustness and low accuracy of existing control algorithms. The method introduces a reinforcement learning method to control the movement of the mechanical arm on the basis of the Tube MPC model predictive control framework, drives the movement of the capsule endoscope through the movement of the mechanical arm, and improves the trajectory tracking accuracy and posture stability in the navigation and scanning process of the capsule endoscope. The compensation control quantity for controlling the movement of the mechanical arm is generated by the trained reinforcement learning agent.

This invention discloses a deformable capsule endoscope probe and image fusion system based on multimodal imaging, belonging to the field of medical endoscopy technology. This invention solves the problems of existing capsule endoscope technology, which has relatively limited functionality and a fixed shape, making it difficult to adapt to the complex structure of the digestive tract and resulting in poor imaging effects. By using flexible silicone material to make the capsule endoscope probe's shell and deformable structure, it can automatically adjust its shape according to the shape of the digestive tract lumen, ensuring clear and accurate multimodal images are acquired from different locations. A neural network model accurately identifies potential lesion areas and adaptively adjusts the fusion weights based on the importance of the lesion and tissue characteristics to optimize image quality. Furthermore, a deep learning fusion network generates a comprehensive image, which, after contrast optimization and automatic labeling of lesion areas, provides doctors with clearer and more detailed diagnostic prompts, aiding in the early diagnosis and precise treatment of digestive tract diseases.

A neural network-based medical image processing apparatus according to the present invention, which identifies a small intestine region from a medical image acquired by a capsule endoscope, comprises: a memory equipped with an organ identification algorithm for performing organ identification from the medical image; and a processor for applying the medical image to the organ identification algorithm such that the small intestine region is identified. The organ identification algorithm includes: a convolutional neural network algorithm for identifying an organ included in the medical image as the stomach, the small intestine, and the large intestine to identify the small intestine region therefrom; and a temporal filtering algorithm linked to the convolutional neural network algorithm to reduce images which may be misidentified by the convolutional neural network algorithm.

The invention relates to a fluorescence imaging capsule endoscope system excited by an NIR-IIb window. The fluorescence imaging capsule endoscope system excited by the NIR-IIb window comprises a capsule endoscope excited by the NIR-IIb window, a nanoprobe and an image receiving and processing module, a light source and image acquisition module, a microcontroller, a wireless communication module, a power supply module and a motion control module are packaged and integrated in the capsule endoscope; the light source and image acquisition module comprises a plurality of white light LEDs, an NIR-IIb laser diode and a micro camera; after being excited by an NIR-IIb light source, the lesion tissue absorbing the up-conversion nanoprobe specifically emits green fluorescence; and the image receiving and processing module is connected with the microcontroller through the wireless communication module, and is used for issuing a control instruction to the microcontroller, receiving an image signal acquired by the micro camera and processing the image signal. Compared with the prior art, the invention can realize strong penetration depth, high contrast and high signal-to-noise ratio detection of gastrointestinal tract lesion tissues on the premise of no damage.

The application belongs to the technical field of hyperspectral imaging and spectral detection, and discloses a hyperspectral image data acquisition system and identification method based on controllable monochromatic illumination. The system comprises a controllable monochromatic illumination unit, an optical imaging unit, a hyperspectral image data processing unit, a power supply unit and a wireless data transmission unit. The application realizes hyperspectral data acquisition through narrow-spectrum monochromatic controllable illumination, and can accurately identify small lesions in the digestive tract by matching an optimized imaging and data processing architecture, while meeting the requirements of miniaturization, low power consumption and full-digestive tract detection of a capsule endoscope.

The invention discloses a capsule endoscopy robot which comprises a body, a driving module and a driving assembly. The body comprises a shell, and a camera module, a communication module and a power supply module which are arranged in the shell, and the shell is provided with a perspective window; the driving module is connected with the shell, and the driving module is configured to drive the body to advance or retreat; and the driving assembly is configured to realize relative rotation of the camera module and the shell. According to the technical scheme, the capsule endoscopy robot can reduce the lesion omission ratio and improve the overall diagnosis quality.

1. Name of the product in this design: Capsule Endoscope. 2. Purpose of this design: For photographing the internal environment of the digestive tract. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses a three-dimensional implantable MIMO antenna for biological telemetry, which is suitable for capsule endoscopy and leadless pacemaker. The system is composed of four antenna units, each unit including a radiation patch, a ground plane, a feed port and a short circuit structure. The symmetric topology of the radiation patch and the strategic layout of the feed / short circuit needles realize self-decoupling, which can effectively reduce the mutual coupling without external decoupling elements. The antenna can work stably at 1.3975 GHz and 2.45 GHz frequency bands, and keep good reflection coefficient, gain and radiation pattern under different tissue environments and implantation depth changes. SAR evaluation shows that it meets the IEEE C95.1-2019 standard, ensuring safety. The three-dimensional structure provides multi-directional radiation diversity, realizing isotropic coverage and robust communication. High-speed telemetry experiments show that it can support up to 100 Mbps data transmission within 10-15 m, which is suitable for complex environments such as continuous motion, attitude change and deep implantation, realizing robust communication and efficient energy transmission.

The disclosure describes a method for calculating an essential matrix of a capsule endoscope in a tissue cavity, including: collecting a first image of a reconstruction region in the tissue cavity along a first direction in the tissue cavity having a wrinkled inner wall, and causing the capsule endoscope to collect a second image along a second direction forming an included angle with the first direction in the tissue cavity; calculating an optical flow of a first pixel region of the reconstruction region in the first image and a second pixel region corresponding to the first pixel region of the reconstruction region in the second image by a neural network based on a convolution operation, wherein the neural network based on the convolution operation extracts a first feature point set including a plurality of feature points at the first pixel region, and obtains a second feature point set corresponding to the first feature point set at the second pixel region based on the first feature point set and the optical flow; and calculating the essential matrix of the capsule endoscope based on the first feature point set and the second feature point set. Thus, the essential matrix of the capsule endoscope in the tissue cavity can be obtained.

The application discloses a method for identifying gastric anatomical structure based on magnetic control capsule endoscopy image of deep learning, screening the pictures output by the magnetic control capsule endoscopy detection, classifying according to the anatomical position, expanding the data set, and dividing into a training set and a test set; constructing, training and testing a multi-scale fusion pyramid visual Transformer network and a target detection network with an attention module, after the test, using the multi-scale fusion pyramid visual Transformer network to extract the global features of the image from the gastric magnetic control capsule endoscopy image, and classifying the magnetic control capsule endoscopy image; using the target detection network with the attention module to locate the classified pictures and identify the gastric anatomical structure. The application solves the problem of low resolution of the magnetic control capsule endoscopy examination pictures in the prior art, and can accurately identify the gastric anatomical position, further achieving the purpose of positioning the magnetic control capsule endoscopy in the stomach.

The invention discloses a conformal antenna system for a double-lens capsule type endoscope and the double-lens capsule type endoscope comprising the conformal antenna system. The conformal antenna system for the double-lens capsule type endoscope comprises two lenses arranged at the two ends in a shell and lens supports corresponding to the two lenses respectively, and further comprises a conductive radiator, and the lens supports are made of non-metal materials. And the conductive radiator is integrated on the surface or inside the lens bracket of one or two lenses and forms a conformal structure with the lens bracket. According to the invention, the antenna and the lens bracket are designed in an integrated and conformal manner, so that the problem that the installation space of the capsule type endoscope is deficient is fundamentally solved, and metal interference in the capsule type endoscope is effectively isolated, thereby realizing high radiation efficiency and stable remote wireless communication.

The application discloses a capsule endoscope control system and a recording method and a playback method thereof, and the system comprises a magnetic ball and a control device, the position and posture change of the magnetic ball causes the magnetic field change, so that the capsule endoscope moves along with the magnetic field change; the control device is connected with the magnetic ball, controls the position and posture change of the magnetic ball, and processes the posture parameters and image information of the capsule endoscope, wherein the control device acquires the state parameters of the magnetic ball, the posture parameters and image information of the capsule endoscope in real time during the examination by the capsule endoscope, and generates the operation record of the state parameters of the magnetic ball, the operation information of the control device and the posture parameters and image information of the capsule endoscope along with the change of time, and converts the operation record into a command sequence to write the storage data. Therefore, the operability of the automatic examination of the capsule endoscope is improved, the repeatability of the recording process and the effectiveness of the examination effect can be considered, and the training efficiency can be effectively improved in professional training.

The application relates to a capsule endoscope dirt removal method and a capsule endoscope dirt removal system. The capsule endoscope dirt removal method comprises the following steps: identifying a cleaning area in a working environment where the capsule endoscope is located, and determining the cleaning area as a dirt removal position of the capsule endoscope; driving the capsule endoscope to move to the dirt removal position; and driving the capsule endoscope to rotate at the dirt removal position when the capsule endoscope moves to the dirt removal position, so that the capsule endoscope is in contact with the dirt removal position for wiping. The application can quickly and effectively remove dirt on the capsule endoscope.

The present application provides a cover plate assembly, a microbattery, and a capsule endoscope. The cover plate assembly comprises a cover plate, a pole structure, and a sealing ring; the cover plate is configured to cover an opening and is sealingly fitted with the side wall of the opening, such that a seal is formed between the cover plate and a case; a sealing ring accommodating groove is formed on the peripheral side wall of the pole structure; and the sealing ring is provided on the peripheral side wall of the pole structure, is accommodated in the sealing ring accommodating groove, and is sealingly fitted with the sealing ring accommodating groove, thereby enhancing the sealing performance between the sealing ring and the pole structure.

Embodiments of the present application disclose a capsule endoscope identity information confirmation method, device, equipment and medium. The method comprises: establishing a first communication connection between a control terminal and a capsule endoscope, and sending first identity information to the capsule endoscope; in a scenario where a patient to be examined has swallowed the capsule endoscope and is waiting for examination, the control terminal receives second identity information of the patient to be examined input by medical staff, the control terminal receives the first identity information in the swallowed capsule endoscope, and it is determined whether the first identity information and the second identity information are the same. The technical scheme of the embodiments of the present application solves the problem of low efficiency of manual capsule endoscope identity information confirmation, can bind the identity information of the patient to the capsule endoscope, and realizes confirmation of the identity information of the patient in the capsule endoscope by matching the identity information of the patient in the capsule endoscope, thereby improving the accuracy and efficiency of capsule endoscope identity information confirmation.

The invention discloses a broadband polarization diversity wearable receiving antenna system for a capsule endoscope system and the capsule endoscope system comprising the broadband polarization diversity wearable receiving antenna system, and the wearable receiving antenna system comprises a flexible wearable carrier and a multi-antenna combination array integrated in the flexible wearable carrier; the multi-antenna combination array is composed of at least two independent antenna units. The antenna units have different preset resonant frequencies, and the resonant frequencies take a common reference frequency f0 as a center and are progressively shifted according to a preset step frequency value f to jointly form a synthetic receiving frequency band of which the coverage is wider than the bandwidth of a single antenna; meanwhile, the polarization directions of the antenna units are different from each other, and the antenna units sequentially rotate by a certain angle on the horizontal plane to jointly form a polarization diversity receiving array. On the premise of not depending on an active tuning circuit, the system can passively adapt to body type differences of different users, and effectively capture incoming waves in any polarization direction, so that the stability and success rate of image data receiving are improved.