468 results about "Gastroscopes" patented technology

A steerable instrument for endoscopic and / or invasive, e.g. gastroscopic or colonoscopic, applications, such as in surgery, having:a cylindrical element with a proximal end part, a distal end part including a flexible distal portion, an intermediate part between the proximal and distal end parts, and at least one longitudinal element for transferring forces from the proximal end part to the flexible distal portion to control bending of the latter;a tangential spacer arranged adjacent the longitudinal element;a second cylindrical element coaxial with the cylindrical element, with a proximal end part, a distal end part including a flexible distal portion, and an intermediate part there between;a radial spacer attached to the second cylindrical element and protruding into an aperture in the tangential spacer;wherein movement of the tangential spacer both in a longitudinal direction and in a tangential direction of the instrument is confined by the radial spacer.

The invention belongs to the technical field of food processing equipment, and particularly relates to an air bag anti-reflux cannula for gastroscope treatment, the air bag anti-reflux cannula comprises a sleeve assembly, the sleeve assembly comprises a gastroscope sleeve, and the outer side of one end of the gastroscope sleeve is uniformly provided with a plurality of sliding adjusting grooves; and the sliding type air bag assembly is installed on the outer sides of the multiple sliding adjusting grooves, the sliding type air bag assembly comprises a first sliding block, the first sliding block is installed at one end of each sliding adjusting groove in a sliding mode, and the top of the first sliding block is rotationally connected with a first connecting rod arm. The anti-reflux airbag capable of changing the expansion diameter is adopted, only the inner wall of the esophageal inlet is slightly extruded in a normal state, the anti-reflux airbag can be pushed to expand through upward upwelling of gas in the stomach when reflux occurs, the esophageal inlet is temporarily and completely blocked, reflux is avoided, and after reflux is finished, the shrunk esophagus can push the anti-reflux airbag to reset, so that the anti-reflux effect is achieved. And a better anti-reflux effect can be achieved without highly expanding to continuously extrude the esophagus inlet.

The invention discloses a data analysis system for early diagnosis of digestive tract diseases, relates to the field of medical health, and constructs a multi-level digestive tract disease risk assessment model through machine learning and deep learning technologies. In the preliminary evaluation stage, oral cavity gas data in the standard data set C is trained by using a support vector machine (SVM), a preliminary digestive tract risk score D1 is generated, and the preliminary digestive tract risk score D1 is compared with a preset preliminary risk threshold value T1 to judge whether a patient has a digestive tract disease risk or not. And when the score D1 exceeds the initial threshold value T1, the system automatically starts a deep learning model such as an LSTM network to carry out more accurate secondary evaluation, and calculates and outputs a deep digestive tract risk score D2. By extracting big data and analyzing medical record data, the model is further optimized, a secondary risk threshold T2 is set, and finally, real-time examination prompts such as gastroscope or blood examination are sent to a doctor or an automatic system through linkage of the system and a diagnosis and treatment server.

The invention relates to the technical field of artificial intelligence, and provides a gastric cancer risk quantitative scoring method, system and equipment based on artificial intelligence, and the method comprises the steps: recognizing the image type of each image frame in alimentary canal endoscope image data; for the electronic dyeing image frame, identifying a part contour region and an intestinal contour region of the feature part in the image frame, determining an intestinal epithelial metaplasia grading category of the feature part according to an area proportion of the intestinal contour region in the part contour region, and performing electronic dyeing intestinal scoring on the image data; for the white light image frame, gastroscope part types included in the image frame and focus area types of all gastroscope parts are recognized; performing atrophy scoring on the image data according to the position distribution of the focus area of the atrophy type; performing table state scoring on the image data according to whether the plica enlargement, nodular gastritis and diffuse redness focus areas exist or not; and realizing gastric cancer risk quantitative scoring according to the electronic staining intestinal scoring, the atrophy scoring and the epistatic state scoring.

The utility model provides a nasogastroscope-guided gastrointestinal catheterization system based on a guide wire. The nasogastroscope-guided gastrointestinal catheterization system comprises a nasogastroscope (1), an imbedding tube (2) and the guide wire (3), wherein the guide wire (3) is arranged in an instrument cavity of the nasogastroscope (1); the implantation tube (2) is arranged along the guide wire (3) to a target jejunum nutrition tube putting position; the diameter of the guide wire (3) is 0.4 mm to 1.8 mm; the length of the guide wire is 1-7 m, and the section, 2-8 cm long, of the front end of the guide wire (3) is a flexible section (3.9). The utility model has the advantages of simple structure, simplification of catheterization operation, reduction of the pain of a patient, reduction of medical risks, guarantee of the success rate of catheterization, and excellent technical effect; the method has huge economic value and social value.

The utility model discloses a mouthpiece for a gastroscope and an auxiliary ventilation structure of the mouthpiece, and belongs to the field of medical auxiliary equipment. The mouthpiece for the gastroscope is used for providing a passage for insertion of the gastroscope during gastroscopy and comprises a mouthpiece body and a strap connected to the mouthpiece body, the mouthpiece body comprises a panel and a bite tube arranged on the panel, the mouthpiece body further comprises an oropharynx passage tube, the oropharynx passage tube is fixed to the panel and located on one side of the bite tube, and the bite tube is fixed to the panel and located on the other side of the panel. The end, located on the inner side of the panel, of the oropharynx passage tube does not exceed the biting tube. The auxiliary ventilation structure of the mouthpiece for the gastroscope comprises a mouth smoke tube, and the mouth smoke tube is inserted into an oropharynx passage tube in a penetrating mode so that a passage can be provided for insertion of the oropharynx tube during gastroscope examination; according to the utility model, the viewpoint of improving ventilation from the outside is changed, and ventilation improvement is directly carried out; pipelines through which an oropharyngeal tube and a gastroscope can pass are respectively positioned in the two channels and do not interfere with each other during treatment; the structure has the possibility of product transformation.

The invention discloses a gastroscope in-vivo detection time measuring method, and relates to the technical field of gastroscope detection, and the gastroscope in-vivo detection time measuring method comprises the following steps: obtaining a data set of in-vivo and in-vitro environment dichotomy; the method comprises the following steps of: constructing a binary classification network based on a Vision Transform; training a dichotomy network based on Vision Transformer by adopting a data set of dichotomy of in-vivo and in-vitro environments; for a complete gastroscope video frame sequence of the in-vivo retention time of the gastroscope to be detected, extracting a frame at a certain interval as a representative frame, sending all the representative frames into the trained Vision Transform-based binary classification network for classification, searching the last group of in-vivo frame serial numbers Ida from the outside to the inside, and determining the in-vivo retention time of the gastroscope to be detected. And the last group of in-vivo frame serial numbers Idb from in vivo to in vitro; and calculating the retention time in the gastroscope body. The automatic processing level is high, extra manual processing is not needed in the whole process, the workload can be greatly reduced, the time efficiency can be improved, and the problems of missed watching and wrong watching caused by careful manual retrospective observation in a traditional method can be solved.

Provided are a split-type mask, a respiratory monitoring system, and a method of using the same, which are suitable for endoscopic examinations. The split-type mask includes a nasal mask body, an oral mask body, and a connector, wherein the nasal mask body and the oral mask body are connected by the connector. The nasal mask body is formed with an oxygen tube interface for connecting an external oxygen supply device to supply oxygen to the nasal mask body; the oral mask body is formed with an endoscope inspection port for passing an endoscopic examination device such as a gastroscope. The nasal mask body also includes a nasal pressure sensor and a nasal aspirator interface, respectively used to monitor the pressure within the nasal mask body and to aspirate aerosols within the nasal mask body, and / or the oral mask body also includes an oral pressure sensor and an oral aspirator interface, respectively used to monitor the pressure within the oral mask body and to aspirate aerosols within the oral mask body. The nasal mask body and the oral mask body are respectively adapted to fit the wearer's face without being connected to each other.

The invention discloses an early gastric cancer and precancerous lesion analysis method and device and a storage medium. The method comprises the following steps: acquiring a to-be-detected gastroscope image; extracting features of the to-be-detected gastroscope image through a target feature extraction deep network to obtain a corresponding target feature vector and a target feature map; performing type diagnosis on the target feature vector through a target diagnosis model to obtain a corresponding classification result; based on the classification result and the target feature map, marking the boundary and the lesion degree of the lesion area through a target boundary recognition model to obtain a corresponding target segmentation map; and based on the target feature vector, the classification result, the target segmentation image and historical data of the to-be-detected gastroscope image, obtaining a risk prediction result and an analysis result through a target risk prediction model. Therefore, the precancerous lesion type and lesion progress risk are accurately identified, so that a doctor is assisted to accurately judge the illness state, wrong underestimation of the illness state is avoided, and gastric cancer is effectively prevented.

The invention provides a pancreatic wrapped necrosis endoscope debridement precise navigation method and system, and relates to the technical field of endoscope navigation. Comprising the following steps: acquiring a plurality of historical abdominal CT images before endoscopic drainage debridement, and identifying contour areas of a pancreatic head, a pancreatic neck, a gland, a pancreatic tail, a duodenum, a gastric antrum and a gastric body in the abdominal CT images; an endoscope image and an ultrasonic image in the endoscope drainage debridement process are obtained, a gastroscope part is recognized, and a pancreas area is recognized; constructing a feature vector, inputting the feature vector into a pre-trained CNN network model, and obtaining an abdominal CT image with the highest matching degree with a pancreas region recognition result in the current ultrasonic image from a plurality of historical abdominal CT images; and carrying out abdominal CT multi-plane reconstruction and display, so as to realize positioning and navigation of pancreatic wrapped necrosis endoscope debridement. According to the invention, through feature fusion processing of the endoscopic image, the ultrasonic image and the CT image, accuracy and safety required by an operation are ensured.

The invention provides a gastroscope image recognition and auxiliary diagnosis system and method based on deep learning and large language model fusion, and the system comprises a data collection and processing module which is used for obtaining and preprocessing various types of gastroscope images; the gastroscope picture recognition and classification module is used for inputting the preprocessed gastroscope pictures into a GastroHAF model for training and outputting recognition and classification results of the gastroscope pictures, and the GastroHAF model comprises a weak supervision anatomical mark positioning sub-module, a space co-occurrence context reasoning sub-module and an anatomical atlas guided hierarchical classification sub-module; and the auxiliary diagnosis module is used for outputting stomach diagnosis results and examination suggestions based on the fine-tuned Chinese medical big language model. The GastroHAF model provided by the invention can quickly, effectively and accurately judge the position of the gastroscope in combination with prior anatomical knowledge, and can effectively assist doctors in stomach examination in combination with a large language model.

The utility model provides a gastroscope decompression and aspiration prevention cannula which comprises a cannula body, a silica gel valve, a first balloon, a second balloon, an air injection tube I, an air injection tube II and a suction tube, and a gastroscope channel is formed in the cannula body. The sleeve comprises a head end tube section, a body tube section and a tail tube section, the silica gel valve is arranged in a first channel of the head end tube section, one end of the suction tube is connected to the tube wall of the head end tube section and communicated with the first channel, and the other end of the suction tube is connected with an external negative pressure suction device; the gas injection tube I and the gas injection tube II are both connected to the tube wall of the body tube section, the first balloon wraps the tube wall of the tail tube section and is communicated with the gas injection tube I, and the second balloon wraps the tube wall in the middle of the body tube section and is communicated with the gas injection tube II. The ball air bag can seal the door, the cylindrical air bag can seal the gap between the esophagus and the endoscope, gas and liquid in the stomach are led out through the endoscope channel in a negative pressure mode, the pressure in the stomach is reduced, and vomiting and aspiration are effectively prevented.

The utility model relates to the technical field of gastroscope capsule shell welding, in particular to gastroscope capsule shell welding equipment which comprises a scanning galvanometer piece, a conical groove is formed in the top end of the scanning galvanometer piece, a reflecting layer is arranged on the inner wall of the conical groove, a through groove is formed in the bottom end of the conical groove, and four sliding grooves are evenly formed in the side end of the through groove. Sliding seats are slidably arranged in the four sliding grooves, fan-shaped supporting plates are fixedly connected to the bottom sides of the side ends of the four sliding seats, a mounting groove communicating with the through groove is formed in the side end of the scanning galvanometer piece, a first electric cylinder is mounted in the mounting groove, and a telescopic rod of the first electric cylinder is fixedly connected with the side ends of the sliding seats; the bottom end of the scanning galvanometer piece is fixedly connected with a base, a material guide groove is formed in the base, and the bottom end of the material guide groove extends to the right side of the base; according to the gastroscope capsule shell welding device, it is avoided that people take welded gastroscope capsule shells, and the danger that people are scalded is avoided.

The invention discloses a gastroscope auxiliary detection method and system based on artificial intelligence, and relates to the technical field of gastroscope detection. The method comprises the following steps: acquiring a real-time image after a gastroscope enters a gastral cavity of a patient, and constructing a stomach model of the patient; according to real-time image evaluation, obtaining stomach lesion points, and extracting the stomach lesion points observed at the path reference points in a non-shielding manner as observation lesion points; counting the number of observation lesion points corresponding to the path reference points, and screening to obtain path points; forming a plurality of path reference lines according to the path points, and selecting to-be-selected path lines without missing detection; analyzing the observation careful degree of the to-be-selected path line on the stomach lesion point, and screening to obtain a primary path line; acquiring a facial image of the patient, judging to obtain the gastric mucosa sensitivity of the patient, and evaluating the operation stimulation degree of the primary path line; and selecting an optimal gastroscopy path line and sending the optimal gastroscopy path line to a user side to prompt an operation doctor. According to the gastroscopy bed, the comfort of a patient in gastroscopy is improved.

The invention relates to the technical field of gastroscope auxiliary frames, in particular to a mask-integrated neck posture auxiliary fixing frame for a painless gastroscope, which comprises a lower jaw supporting piece and a chest supporting piece rotationally connected with the lower jaw supporting piece, the fixing mechanism comprises a mounting belt detachably arranged outside the lower jaw supporting piece, a tightening belt is arranged outside the mounting belt, and a laryngeal mask is arranged on the end face of the tightening belt; the angle adjusting mechanism comprises a rotary knob and is used for controlling the rotation angle and the rotation direction between the lower jaw supporting piece and the chest supporting piece, the lower jaw supporting piece and the chest supporting piece fix the lower jaw of the patient, the angle of the head and the trunk is adjusted to the proper angle, and the clamping jaw rotates in one direction and is rapidly detached. The rotation angle and the rotation direction between the lower jaw supporting piece and the chest supporting piece are adjusted through the rotary knob, the tightening belt drives the pressing wheel to rotate to adjust the tightness of the laryngeal mask, the laryngeal mask is further fixed and limited, meanwhile, the installation steps are simplified, and the use threshold is lowered.

The invention discloses a multi-task autoimmune gastritis gastroscope image classification method and device and a medium, and the method comprises the steps: obtaining a plurality of gastroscope images of a patient, and carrying out the registration of all gastroscope images, and obtaining a similarity matrix; according to the similarity matrix, the gastroscope images are clustered, so that the gastroscope images are grouped, and a plurality of gastroscope image groups are obtained; respectively inputting each gastroscope image group into a first classification network and a second classification network to obtain a first classification label and a second classification label, and obtaining a result pair (the first classification label and the second classification label) corresponding to the current gastroscope image group; wherein the first classification label comprises gastric anatomical parts including the stomach fundus, the stomach body and the gastric antrum, and the second classification label comprises lesion conditions including normal and atrophy. According to the method, the requirements for a large receptive field, local fine-grained information and inductive bias in anatomical region classification and lesion condition classification are considered, and gastroscope images are accurately classified.

The invention relates to the field of medical image processing, in particular to a gastric cancer precancerous lesion progress risk assessment system based on time sequence image analysis, which comprises a time sequence gastroscope image registration module, a lesion curved surface dynamic representation module, a multi-dimensional feature manifold construction module, a risk dynamic prediction module and a virtual pigment endoscope enhancement module, according to the method, a differential geometry theory is introduced, the gastric mucosa surface is modeled as a Riemannian curved surface, and Gaussian curvature, average curvature and other characteristics are extracted; constructing a feature manifold space by adopting a manifold learning method, and analyzing a lesion state evolution trajectory through geodesic distance; and predicting the time for the lesion to reach a high-risk state based on the probability density distribution and the evolution vector field on the manifold. According to the method, accurate characterization of gastric cancer precancerous lesion morphological characteristics, quantitative analysis of dynamic evolution and accurate prediction of risk progress are realized, a scientific basis is provided for clinical follow-up visit decisions, and the method has the remarkable advantages of improving the early intervention rate, optimizing medical resource allocation and the like.

The device comprises a light source generator, a light source adjusting mechanism, a light source conveying pipe and a detection head, the light source adjusting mechanism comprises a mounting cylinder, a shaping sector ring light absorption part and a folding sector ring light absorption part, and the mounting cylinder is provided with a light-transmitting round hole penetrating front and back; an annular cavity is formed in the cylinder wall of the mounting cylinder with the center point of the light-transmitting round hole as the center of a circular ring, the multiple sets of shaping fan ring light absorption pieces are distributed in the annular cavity in the circumferential direction, and a set of folding fan ring light absorption pieces are arranged between every two adjacent sets of shaping fan ring light absorption pieces. The side wall of the folding sector ring light absorption piece is attached to the side wall of the shaping sector ring light absorption piece and is connected with the shaping sector ring light absorption piece in a front-back sliding mode along the attaching face, and the shaping sector ring light absorption piece is arranged in the annular cavity in a front-back sliding mode in the direction of the left-right symmetry line of the shaping sector ring light absorption piece. And the transverse unfolding area of the folding fan ring light absorption parts is adjusted along with the adjustment of the distance between the two adjacent groups of shaping fan ring light absorption parts.

The utility model relates to the technical field of medical devices, and discloses an adjustable medical mouthpiece. It specifically includes: a mouthpiece body, which is tubular and has a first cavity formed inside along the length direction for cooperating with a gastroscope; a baffle plate arranged at one end of the mouthpiece body, an upper limit bar and a lower limit bar are respectively arranged at the upper edge and the lower edge of the baffle plate, a first groove is formed between the upper limit bar and the baffle plate, a second groove is formed between the lower limit bar and the baffle plate, and a first opening connected to the first cavity is also arranged on the baffle plate; a sliding plate of a frame structure; a tongue depressor arranged at the lower part of the other end of the mouthpiece body; the size of the dedicated hole for the air cannula of the mouthpiece in the utility model is adjustable, which improves the flexibility of the mouthpiece to match the air cannulas of different sizes, thereby effectively reducing the problem of the air cannula airbag being squeezed and broken due to the mismatch between the air cannula size and the mouthpiece size.

A scope cabinet that defines a cavity configured to receive a medical device, such as a gastroscope or endoscope, therein. The scope cabinet includes a detachable, cradle panel disposed on a panel within the cavity. The cradle panel forms a plurality of elongated slats. The scope cabinet further includes an adjustable arm that is configured to be releasably fastened at a point along one of the elongated slats. The adjustable arm includes a plurality of fingers and is configured to support a medical device. The scope cabinet also includes a removable shelf disposed within the cavity having an air-circulating unit disposed on top of the shelf. The scope cabinet has a rear panel that defines removable subsections. The cradle panel is attached to one of the subsections nearest a top panel of the scope cabinet but below the removable shelf.

The invention discloses an early gastric cancer intelligent screening and risk layering method and system based on multi-modal data fusion and deep learning. The method comprises the following steps: acquiring a gastroscope image, a pathological image, a medical image and clinical data of a patient, performing standardization processing and forming unified feature representation; training the multi-branch neural network model group, and generating a virtual queue tag based on each mode; fusing a multi-modal queue division result to generate a patient comprehensive queue label; adaptively selecting a decision path according to the label, and executing feature fusion and analysis of corresponding depth; generating a structured report containing gastric cancer risk levels and individualized monitoring suggestions; and deploying the system and dynamically tracking the change of a patient queue to realize continuous monitoring of disease progression. Cross-modal semantic alignment, uncertainty evaluation and a Markov prediction model are introduced into the system, the screening accuracy, credibility and dynamic risk evaluation capability are improved, and the system is suitable for early screening and personalized management of gastric cancer.

The invention discloses a transesophageal ultrasonic probe with a gastroscope function, relates to the technical field of medical auxiliary tools, and aims to solve the problems that the internal structures of oropharynx, esophagus and stomach are inconvenient to observe when an existing TEE probe is placed into the esophagus, and the oropharynx, esophagus and stomach are possibly damaged; meanwhile, the position of the esophageal ultrasonic probe cannot be clearly judged, sometimes, a clearer ultrasonic image is difficult to obtain, the fitting relation between the probe and the surrounding structural tissue is not accurate, and the observation effect is poor. According to the transesophageal ultrasonic probe with the gastroscope function, provided by the invention, the probe can be more accurately arranged at a proper position by entering and observing a narrow part, so that tissue damage is avoided; which comprises a probe, a tube body and an operating handle which are connected in sequence, and is characterized by further comprising an air bag which is located on one side of the probe and arranged on the inner tube in a sleeving mode; the expandable structure is arranged on the other side of the air bag and arranged on the inner tube in a sleeving mode.

The invention relates to a gastroscope white light to narrow-band light image conversion method based on Vision Mama, and belongs to the technical field of image processing. According to the method, a generative adversarial network based on Vision Mama is provided, and detailed representation is enhanced through a long-range dependency relationship and fine-grained local features; and information interaction between the source domain image and the target domain image is maximized by using comparative learning so as to improve detail representation after the white light image is converted into the narrow-band light image. In addition, a structural consistency constraint is designed, and the organization structure consistency of the generated image and the original image is kept while information interaction is performed. In order to verify the validity of the proposed method, wide experiments are performed on a private gastroscope data set and a BraTS 2021 data set. Experimental results show that non-paired image conversion closer to a real image can be achieved through the method.

The invention discloses a gastroscope dosing device and method convenient to use, and relates to the technical field of medical instruments. The magnetic control capsule gastroscope comprises a magnetic control capsule gastroscope body and a drug delivery capsule, the drug delivery capsule is used for being matched with movement of the magnetic control capsule gastroscope body to directly deliver drugs to the stomach of a patient, the drug delivery capsule comprises a power capsule, and a drug storage capsule is fixedly installed on the side, away from the magnetic control capsule gastroscope body, of the power capsule. The medicine storage capsule is used for storing medicine, the same folding tube is arranged between the magnetic control capsule gastroscope and the power capsule, and a medicine feeding spray head is fixedly installed at the bottom of the medicine storage capsule. By arranging the power assembly, the magnetic control capsule gastroscope is controlled to carry the administration capsule to move to be close to an affected part, then the power assembly is controlled to extrude a medicament, the medicament is directly sprayed out from the medicament spraying micropores under the pressure effect, then the medicament liquid is sprayed to the affected part, and direct administration is achieved; the problem that a traditional capsule gastroscope can only be used for observation and cannot be used for administration is solved.

The invention provides a gastroscope diagnosis and treatment report generation method and system based on a fine-tuning multi-modal large model, and belongs to the technical field of medical image processing and natural processing, and the gastroscope diagnosis and treatment report generation method comprises the following steps: obtaining image text pair data of gastrointestinal tracts of a first-stage data set as a first-stage fine-tuning data set; performing first-stage fine tuning on a multi-modal large model by adopting the first-stage fine tuning data set to obtain a first-stage fine tuning model; acquiring image text pair data of the gastrointestinal tract of the second-stage data set, and performing templating processing to obtain a second-stage fine adjustment data set; performing second-stage fine tuning on the first-stage fine tuning model by adopting the second-stage fine tuning data set to obtain a second-stage fine tuning model; and inputting a gastroscope image to be diagnosed and treated into the second-stage fine tuning model, giving diagnosis and treatment problems to the second-stage fine tuning model, and generating a gastroscope diagnosis and treatment report. The effectiveness and accuracy of the gastroscope diagnosis and treatment report generated by the model are effectively improved.

The utility model discloses a special pillow for gastroscopy, which comprises a pillow seat, a fixed part and a lifting part, the fixed part and the lifting part are arranged on the pillow seat, the fixed part comprises an inflatable upper part, an inflatable middle part and a solid lower part which are sequentially arranged, and the lifting part comprises a lifting upper part, a lifting middle part and a neck groove. The upper lifting part comprises an upper air bag and first elastic cloth which are fixed in the pillow seat, the middle lifting part comprises a middle air bag and second elastic cloth which are fixed in the pillow seat, and the upper air bag and the middle air bag are connected with inflation and deflation valves of the upper inflation part and the middle inflation part through inflation and deflation pipes respectively. According to the pillow special for gastroscopy, the neck groove, the upper base plate and the middle base plate are arranged and used for placing and fixing the head and neck of a patient, so that the patient can conduct gastroscopy in the left-side lying position; the upper air bag and the middle air bag are arranged on the upper base plate and the middle base plate respectively, pressure of the left ear of a patient can be relieved to prevent bruises, the height of the head of the patient can be adjusted to adapt to the intubation height of medical staff, and operation of the medical staff is facilitated.

The invention relates to the technical field of image processing, in particular to a gland structure irregularity quantitative analysis method and system based on a gastroscope image, and the method comprises the steps: carrying out the color correction and image contrast enhancement of an obtained original gastroscope image, and constructing a corresponding image pyramid; inputting the images in the image pyramid into an improved deep learning model for learning by adopting a multi-channel fusion input mode, and obtaining a gland binary mask after morphological processing; based on three dimensions of morphology, structural arrangement and complexity, quantitative features of a single gland structure are extracted from the gland binary mask; the extracted multi-dimensional quantitative features are trained through a gradient lifting decision tree model, an irregularity index is output, feature importance analysis is carried out, and the gland structure in the gastroscope image can be accurately recognized and quantized.

The invention discloses a universal soft endoscope system which comprises a reusable handle, and a threaded connector is arranged at the front end of the handle and used for being connected with a disposable soft endoscope consumable assembly. The threaded connector extends outwards to be provided with a flexible camera sleeve, and the end of the flexible camera sleeve is connected with a reusable camera assembly through a snake bone assembly. At least one group of traction assembly is arranged in the handle and is used for driving the camera assembly to steer; the camera assembly is electrically connected to the control device, and the control device is used for processing image signals collected by the camera assembly and / or controlling the traction assembly to achieve steering of the camera assembly. The disposable flexible lens consumable assembly is one of a disposable gastroscope consumable assembly, a cystoscope consumable assembly or a bronchoscope consumable assembly and a ureteroscope consumable assembly. The problems that an existing soft endoscope is high in cost, use convenience and safety are insufficient, and performance is difficult to guarantee are solved, cost is reduced, and meanwhile performance and use safety are improved.

The split type mask, the breath monitoring system and the using method of the breath monitoring system are provided, the split type mask is suitable for endoscopy, the split type mask comprises a nose mask body, a mouth mask body and a connecting piece, and the nose mask body and the mouth mask body are connected through the connecting piece. An oxygen uptake tube connector is formed in the nose cover body and used for being connected with an external oxygen supply device so as to supply oxygen into the nose cover body. An endoscopic examination opening is formed in the mouth cover body, and endoscopic examination instruments such as a gastroscope can pass through the endoscopic examination opening. The nasal mask body further comprises a nasal pressure sensor and a nasal aspirator connector which are respectively used for monitoring pressure in the nasal mask body and sucking aerosol in the nasal mask body, and / or the mouth mask body further comprises a mouth pressure sensor and a mouth aspirator connector which are respectively used for monitoring pressure in the nasal mask body and sucking aerosol in the nasal mask body. The nose mask body and the mouth mask body are respectively used for monitoring pressure in the mouth mask body and sucking aerosol in the mouth mask body, and the nose mask body and the mouth mask body are respectively attached to the face of a wearer and are not communicated with each other.

The invention relates to the technical field of cleaning detection, in particular to a gastroscope cleaning device for internal medicine treatment. The gastroscope cleaning device for internal medicine treatment comprises a shell assembly, a waste liquid collecting frame, a drying assembly, a disinfecting assembly, a cleaning assembly, two fixed guiding mechanisms and two inner wall cleaning assemblies, each fixed guiding mechanism comprises two fixed guiding assemblies, and each fixed guiding assembly comprises a sliding rail part, an upper fixed guiding part and a lower guiding dredging part. An upper fixed guide part of the fixed guide assembly can divide disinfectant and cleaning fluid into two parts, one part is used for disinfecting and cleaning the outside of the gastroscope, the other part is used for disinfecting and cleaning the inside of the gastroscope, and a lower guide dredging part of the fixed guide assembly can straighten the stomach tube to prevent the situation that the cleaning part cannot thoroughly dredge the inside of the stomach tube. And a cleaning piece of the inner wall cleaning assembly can disinfect and clean the interior of the gastroscope and dredge the interior of the gastroscope, so that the situation that firm blood dirt is condensed in the gastroscope and cannot be thoroughly cleaned is prevented.