550 results about "Thoracic cavity" patented technology

The invention provides a real-time three-dimensional imaging system in a thoracic surgery, and relates to the field of thoracic surgery auxiliary equipment, and the system comprises a multi-modal image collection module which is used for collecting multi-source data of tissues and organs in a thoracic cavity; the data core processor is used for processing and fusing the multi-source data collected by the multi-mode image acquisition module; the three-dimensional reconstruction module is used for generating a dynamically updated submillimeter-level precision three-dimensional model according to the processed and fused multi-source data and marking a dangerous structure and a safety boundary; and the augmented reality navigation module is used for superposing the three-dimensional model on an operation visual field through a holographic head-mounted display, and realizing real-time three-dimensional visual navigation in combination with instrument tracking and a multi-stage early warning mechanism. According to the invention, radiation-free and high-precision real-time three-dimensional visual navigation can be provided, and the precision and safety in the thoracic surgery can be ensured.

The invention belongs to the technical field of medical imaging and digital twinning, and discloses a thoracic cavity whole organ system level lung four-dimensional EIT detection digital motif and a library building method, and the method comprises the following steps: S1) segmenting multiple organs such as double lungs, heart, sternum, rib and thoracic vertebra central axis skeleton, main bronchus and esophagus based on an individual CT image, and building a three-dimensional geometric model integrated with an EIT electrode array; s2) simulating breathing dynamic deformation by using a solid mechanical model; s3) establishing a coupling relationship between deformation and conductivity, and generating dynamic three-dimensional conductivity distribution; s4) solving an electromagnetic field positive problem, and generating a virtual EIT voltage database synchronous with respiration; the invention also covers pathological model integration and data enhancement strategies. According to the method, a high-fidelity, large-scale and diversified EIT virtual data set can be generated, core data support is provided for training and verifying an AI intelligent reconstruction algorithm, and a model foundation is laid for developing a lung function dynamic digital twinning system.

The invention discloses a driver health monitoring and early warning method and system, and belongs to the technical field of automobile intelligent cabins, and the method comprises the steps: calling camera data in a DMS in an intelligent cabin, positioning the chest of a driver, and obtaining three-dimensional coordinates of the chest part of the driver in a driving cabin space; adjusting a millimeter wave radar integrated in a steering wheel to send a radar signal by combining the three-dimensional coordinates positioned to the chest part; receiving an echo signal of the radar signal interfered by the fluctuating cavity motion of the thoracic cavity part; carrying out real-time extraction on a respiration signal and a heartbeat signal based on the echo signal to obtain a vital sign signal; performing feature extraction on the vital sign signals to obtain vital sign parameters; analyzing the vital sign parameters; and when the vital sign parameter exceeds a threshold value, sending an exception handling request. According to the method, cardiopulmonary data of a driver are analyzed, and occurrence of sudden cardiopulmonary diseases such as inhibitory respiration and heartbeat pause is judged in advance.

The invention belongs to the technical field of sleep respiratory disease detection, and relates to a sleep apnea identification method based on a hybrid neural network, which comprises the following steps of: sensing human sleep in a bed surrounding environment by using a millimeter wave radar, and positioning a thoracic cavity position by adopting spatial two-dimensional analysis; the problem that interference exists in radar sign signal extraction of different targets at the same distance is solved. And a respiration signal Shannon entropy is constructed as an iterative index of the whale optimization algorithm, and the index is minimized to realize iterative optimization of variational mode extraction parameters, so that different respiration states are matched with different parameters, and thus a dominant frequency narrowband respiration signal is accurately extracted. A breathing time-frequency energy diagram obtained by data processing is used as input, and a CNN network and a bidirectional long-short-term memory module are used together to construct a feature extraction module, so that the method can recognize the change trend of frequency along with time, capture more comprehensive features, and recognize target sleep apnea more accurately. In addition, the hybrid network enables accurate classification of unmanned scenarios, apnea, hypopnea, and normal respiration.

The invention relates to the technical field of respiratory training, in particular to a respiratory muscle training system based on thoracic induction, which comprises a thoracic dynamic monitoring module, a respiratory muscle state recognition module, a fatigue judgment and adjustment module, a training control module and a task construction module. According to the method, through combined extraction of capacitance sensing data of chest expansion change, a vertical displacement trend and chest pressure floating, the reduction precision of a real respiration traction process is effectively improved, a time axis is used as a unified reference, different types of sensing data are synchronously analyzed, the respiration traction judgment accuracy is remarkably improved, and the method is suitable for popularization and application. The probability of misjudgment caused by electromyography and body movement dislocation is eliminated, the capacity of capturing the participation state of respiratory muscles is enhanced, the variation trend between electromyography response and traction starting is tracked and captured through the time difference of continuous periods, the training execution accuracy is improved, the intervention targeting is recovered, and the training efficiency is improved. And leap-over improvement is realized in the aspects of multi-source information collaborative identification and training personalized adjustment.

The invention discloses an OFDM radar vital sign signal separation method based on FGO-VMD and multi-feature clustering, and belongs to the technical field of radar communication integration. According to the method, an OFDM signal radar is used for carrying out human body detection, multi-subcarrier phase difference linear regression is used for estimating displacement, thoracic cavity micro-motion signals are extracted, an FGO-VMD joint optimization model is provided, the modal number and penalty factor parameters of a VMD decomposition algorithm are adaptively determined through minimum envelope entropy, and a multi-feature clustering and weighted reconstruction strategy is designed. And in combination with frequency band screening and correlation coefficient weighting, the separation robustness of the respiratory signal and the heartbeat signal is enhanced, and high-precision separation of the vital sign signal is realized. According to the method, non-contact vital sign detection based on OFDM radar signals is achieved, the problems that in a traditional algorithm, parameters of modal numbers and penalty factors need to be manually set, and signal amplitude attenuation and modal aliasing are caused under complex noise are solved, the vital sign monitoring precision is remarkably improved, and high-precision separation of vital sign signals is achieved.

The invention proposes a thoracic surgery intelligent planning system based on multi-modal image fusion, and relates to the technical field of surgery planning, and the system comprises an image processing module which is used for receiving multi-modal medical image data, carrying out the preprocessing and cross-modal registration of the medical image data, and generating fused image data; the three-dimensional reconstruction module is used for segmenting the key anatomical structure in the thoracic cavity based on the fused image data and constructing a three-dimensional model; the operation planning module is used for generating a candidate operation path scheme according to a multi-objective optimization algorithm based on the three-dimensional model; the interaction adjustment module is used for determining a final operation path scheme and updating a risk assessment result in real time; and the report generation module is used for generating a surgical planning report. The method can solve the problems that the existing multi-modal image registration precision is insufficient, the sensitivity of three-dimensional reconstruction to a tiny anatomical structure is low, and the surgical path planning is lack of dynamic risk assessment and real-time interaction adjustment capability, and realizes the generation and optimization of a high-precision and high-safety thoracic surgery planning scheme.

The invention relates to a breathing heart rate detection method and device based on an FMCW radar, and belongs to the technical field of signal processing.The breathing heart rate detection method based on the FMCW radar comprises the steps that FMCW radar detection signals are preprocessed, and thoracic cavity phase signals are obtained; performing time sequence data decomposition on the thoracic cavity phase signals, and determining a target signal from the thoracic cavity phase signals after time sequence data decomposition based on the reference range of the respiratory frequency and the heartbeat frequency of the target population; performing multi-scale decomposition on the target signal, and separating a target respiration signal and a target heartbeat signal from the target signal; and based on a spatial spectrum estimation algorithm, determining the breathing frequency and the heartbeat frequency of the to-be-detected person from the target breathing signal and the target heartbeat signal. According to the method, the respiratory heart rate detection is realized, the influence of noise on the detection result is reduced, and the accuracy of the respiratory heart rate detection is further improved.

The invention discloses a monitoring method and system and a related device, which are applied to first electronic equipment, the first electronic equipment is provided with a first circuit, and the first circuit comprises a first electrode, a second electrode, a third electrode, a fourth electrode, an excitation current generation unit and a voltage measurement unit; receiving and responding to a first instruction, and determining that the first electrode and the second electrode are in good contact with skin through a first circuit; first information is determined through the first circuit, the first electrode makes contact with a first position of the user skin, the second electrode makes contact with a second position of the user skin, and the first position and the second position are located at the two ends of the thoracic cavity tissue respectively; and outputting first information, wherein the first information comprises one or more of the following items: cardiac output, stroke output, heart rate, ejection fraction and cardiac function judgment result. Therefore, the heart function condition of the user can be monitored in real time, and the user can conveniently monitor anytime and anywhere.

Devices, systems, and methods described in this disclosure can be used to deliver electroporation and adjunct therapies to treat anastomotic leaks and the resulting abscess cavities around the GI tract, within the thoracic cavity, and elsewhere within the human body. The thermal or non-thermal electroporation therapy can be delivered using the devices, systems, and methods described herein. In some embodiments, the electroporation energy is delivered to achieve sterilization and promote healing of spaces such as abscess cavities.

The invention discloses a venous thrombosis risk assessment method based on a large language model, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: collecting thoracic surgery diagnosis and treatment data of a patient, carrying out the space-time alignment, generating a standard diagnosis and treatment data flow, and carrying out the homomorphic encryption of the standard diagnosis and treatment data flow, and forming an encrypted patient data package; inputting the encrypted patient data packet into a multi-task large language model, performing feature extraction and semantic coding by a feature coding layer, performing time sequence modeling and risk probability calculation by a risk quantification layer, and outputting a venous thromboembolism risk level of a patient; and performing feature decoupling and potential space mapping on the encrypted patient data packet to obtain thrombus semantic potential features. Through the multi-task large language model, the dual machine learning algorithm and the homomorphic encryption, the accuracy of venous thrombosis risk early warning is improved, and the safety of the risk assessment process is enhanced.

The speed-adjustable negative pressure drainage device comprises a drainage tube, a bottle body, a cover body and a negative pressure source connector, the cover body is rotated to drive a top ring cambered surface protrusion to jack up a bead body, a through hole is opened according to the angle gradient, external air enters dilution negative pressure, and linear speed regulation without negative pressure source adjustment is achieved; the bead body periodically opens and closes the through holes to form pulsating type instantaneous suction force, so that the adhesive force between blood clots and the tube wall is destroyed, and blockage is actively prevented; the gradient section of the drainage tube accelerates liquid flow through abrupt drop to generate local negative pressure to pull rear liquid flow; the upper convex hulls enlarge the sectional area of a pipe cavity before sharp drop, decelerate liquid flow and form a vortex region, so that blood clots are separated and deposited due to inertia, and liquid-solid layering is realized; the device has the functions of mechanical blockage prevention, precise pressure control and overload protection, the clinical blockage rate is reduced from 30% to 5% or below, power support is not needed, the device is suitable for postoperative drainage scenes such as the abdominal cavity and the thoracic cavity, and the medical operation load and the complication risk of a patient are remarkably reduced.

The invention relates to the technical field of medical training equipment, and particularly discloses a training device for trauma first aid simulation, which comprises a thoracic cavity model and further comprises a mounting cavity, and the mounting cavity is formed in the thoracic cavity model; the pressing assembly is mounted in the chest model; the driving assembly is installed on one side of the pressing assembly, the driving assembly moves when the pressing assembly acts, the detection block is fixed to the driving assembly, and the driving assembly drives the detection block to move synchronously when moving; the detection assembly is installed at the end of the driving assembly, whether the pressing force is appropriate or not is judged by observing whether a detection block normally makes contact with the detection assembly or not and the change of the force feedback assembly, the pressing force of the user is adaptively adjusted according to the trained result, and therefore targeted training is conducted according to the trained result; the training efficiency of trainees can be effectively improved, so that the trainees can train proper pressing force in a short time.

The invention discloses a point cloud-driven thoracic cavity whole organ dynamic reconstruction and respiration monitoring method and system, and the method comprises the steps: constructing a three-dimensional geometric model corresponding to each target structure in a thoracic cavity based on the thoracic medical image data of a target object, and converting the three-dimensional geometric model into static point cloud data; driving the static point cloud data to perform dynamic deformation simulation in a respiratory cycle based on a respiratory movement rule of the target object to obtain dynamic point cloud data synchronized with a respiratory time phase; performing time-space synchronization association on the dynamic point cloud data and the electrical characteristic parameters, and constructing a digital twin thoracic cavity model; deploying a virtual sensing assembly which dynamically deforms along with the thoracic cavity in the digital twin thoracic cavity model, simulating and monitoring the dynamic breathing process of the target object, and generating a virtual physiological signal; and performing signal processing on the virtual physiological signal to obtain a dynamic reconstruction image reflecting respiratory movement. Continuous simulation of the full-breathing movement process is achieved, and the temporal-spatial resolution and diversity of a virtual database are improved.

The invention provides a thoracic cavity closed drainage puncture outfit and a use method thereof.The outer wall of the bottom end of a drainage tube is evenly provided with a plurality of drainage grooves penetrating through the inner wall, the outer wall of the top end of the drainage tube is fixedly connected with a fixing valve, the top end of the drainage tube is fixedly connected with a three-way valve, and an inner core is arranged in the drainage tube; the inner core comprises a puncture needle head positioned in the bottom end of the drainage tube; the top of the puncture needle head extrudes the drainage fin, so that the middle of the drainage fin protrudes outwards to support peripheral tissues, and after the middle of the drainage fin protrudes outwards, on one hand, a fixing effect can be achieved, on the other hand, the drainage groove can be prevented from being blocked, and the problem of unsmooth drainage is effectively avoided; meanwhile, the puncture needle head completely retracts into the drainage tube, so that secondary injury of the puncture needle head to a patient can be effectively avoided, drainage and puncture operation can be completed at a time, and pain of the patient can be reduced.

A non-contact real-time monitoring system of physiological signs based on millimeter-wave radar includes a millimeter-wave radar and multiple modules for processing radar signals. The millimeter-wave radar is configured to continuously transmit electromagnetic wave signals and simultaneously receive echo signals, perform frequency mixing processing on the echo signals to obtain an intermediate frequency signal, and process the intermediate frequency signal to obtain a radar four-dimensional data matrix. Human body physiological signs are monitored by analyzing body thoracic cavity micro-motion information in signals through the modules; a target echo is processed by adopting a constant false alarm rate detection algorithm, and invalid signals are filtered. A self-adaptive range cell selection algorithm based on short-time stability of respiratory signals is adopted to capture radar echoes reflecting physiological movement. Mixed human body physiological sign signals are processed by using a VMD algorithm, and key parameters in VMD are optimized by using a GWO algorithm.

The invention discloses a thoracic surgery patient postoperative remote monitoring method and system based on the Internet of Things, and relates to the technical field of medical rehabilitation monitoring. Feature index extraction is carried out by taking body position pressure and respiration collaborative response as a two-factor dynamic evaluation basis, so that high-sensitivity judgment on a thoracic cavity load state is formed; after the abnormal state is recognized, body position adjustment is carried out, acoustic feedback analysis is linked, secondary evaluation after body position adjustment is achieved, intervention effectiveness of body position adjustment is ensured, personalized adjustment suggestions are automatically generated, the whole process of'perception-recognition-execution 'of remote monitoring is opened, the intelligent level and response real-time performance of postoperative recovery management are improved, and the postoperative recovery management efficiency is improved. According to the overall scheme, health risks caused by position misjudgment, intervention lag and monitoring blind areas in a traditional system are effectively avoided.

The application discloses a thoracic surgery puncture drainage device, relates to the technical field of medical puncture drainage, and comprises a drainage needle, a drainage tube communicated with the drainage needle, and a negative pressure component communicated with the drainage tube. The negative pressure component comprises an inflatable rubber tube and a shell. An adjusting assembly matched with the inflatable rubber tube is installed on the shell, and the adjusting assembly is used for driving the inflatable rubber tube to stretch and deform. The thoracic surgery puncture drainage device can adaptively drain liquid according to the fluctuation frequency and fluctuation degree of the thoracic cavity when draining the thoracic cavity effusion, effectively reduces the damage to the thoracic cavity, can pressurize and dredge when the drainage tube is slightly blocked, can backwash and dredge when the drainage tube is highly blocked, realizes the integration of dredging and drainage, avoids the backwash and dredging air from entering the drainage device to cause drainage infection, has higher safety, and is more convenient to operate.

The invention relates to the technical field of human body intercostal model trajectory construction, and discloses an intercostal trajectory planning method and system based on an AI reinforcement learning robot. The inter-costal trajectory planning method is applied to an AI robot, and specifically comprises the following steps: S101, receiving an inter-costal region three-dimensional anatomical model construction instruction sent by a user terminal, obtaining anatomical image data of a thoracic cavity from CT or MRI scanning of a patient, and segmenting the anatomical image data by using a deep convolutional image segmentation network to obtain an anatomical image target region; the CT anatomical model and the reinforcement learning technology are fully combined, the completely observable Markov decision model is constructed, the robot path planning strategy is trained in the virtual environment, the robot can autonomously adjust the posture and position of the ultrasonic probe, it is ensured that the probe achieves accurate movement in the complex intercostal region, and the accuracy of the ultrasonic probe is improved. Therefore, limitation of rib sound shadow is broken through, and imaging quality of a target area is remarkably improved.

The invention discloses a thoracic surgery postoperative drainage monitoring data processing method and a thoracic surgery postoperative drainage monitoring data processing system. The method comprises the following steps: synchronously acquiring thoracic respiration dynamic characteristics of a patient and fluid dynamic characteristics of a thoracic closed drainage system through a data acquisition module; the central processing server establishes a time sequence mapping relationship between the two, performs feature fusion analysis, and calculates to obtain a thoracic cavity-pipeline coupling efficiency index; performing logic judgment on the postoperative recovery state of the patient on the basis of the index, and identifying a chest-pipeline fluid transmission state including breathing work limitation, drainage channel blockage and pleural cavity air leakage; and dynamically generating a grading equipment response strategy including adjusting training intensity and triggering pipeline maintenance early warning or analgesia intervention according to an identification result. According to the method, accurate recognition and closed-loop management of postoperative complications are achieved by quantitatively evaluating the linkage relation between respiration driving and drainage response.

The invention provides a non-invasive LVEF monitoring method and system based on millimeter wave radar chest displacement signals. The method comprises the steps that S1, millimeter wave radar signals are transmitted; s2, thoracic cavity micro-motion signals are collected; s3, preprocessing the thoracic cavity micro-motion signal; step S4, separating vital signs; s5, extracting heart failure features; step S6, risk assessment; and S7, outputting a result. According to the invention, a set of non-contact and continuous monitoring cardiac function evaluation system is constructed through creative combination of a radar sensing technology and medical diagnosis, and compared with a traditional LVEF detection method (such as echocardiography, cardiac MRI and the like), breakthrough improvement in clinical practicability, data continuity and technical universality is realized.

The invention belongs to the technical field of medicine, and particularly relates to a method and application for evaluating the respiratory muscle movement function of an IPF patient based on dynamic MRI. Performing dynamic MRI processing on the to-be-tested person to obtain a lung dynamic MRI image; manually marking and segmenting an end-expiratory image and an end-inspiratory image on the lung dynamic MRI image along the inner edge of the thoracic cavity outline, and checking and correcting; obtaining evaluation parameters of chest wall movement and evaluation parameters of diaphragm movement and form by using the images; measuring parameters are analyzed, and the pulmonary fibrosis degree and pulmonary vessel and chest wall muscle parameters of the HRCT image are quantified; and comparing and statistically analyzing the parameters of different to-be-tested persons so as to evaluate the respiratory muscle movement function of the IPF patient. The dynamic MRI technology is adopted, and a quantitative basis is provided for evaluating the respiratory muscle dysfunction and severity of the IPF patient.

The invention discloses a thoracic cavity heart sound signal non-contact extraction system and method based on structured light. The system comprises a structured light projection module, an image acquisition module, an image processing and displacement extraction module and a signal processing and trigger point identification module, structured light is projected on the surface of the chest of a human body to form a regular pattern, and a high-speed image acquisition means is utilized to record micro displacement change generated by light spots under cardiac drive. Thoracic cavity vibration information is extracted through an image processing technology, periodic feature points corresponding to a cardiac rhythm are recognized in combination with a time sequence analysis strategy, a thoracic cavity heart sound signal is extracted, rhythm analysis is conducted, and a cardiac trigger point is output to serve as a trigger signal for synchronous control of medical equipment. The technical problems of signal distortion, equipment interference, potential safety hazards, inconvenience in use and the like in a strong electromagnetic environment in a traditional contact mode are solved, and a high-precision synchronous trigger signal is provided for dynamic imaging.

The invention relates to the technical field of medical treatment, in particular to an intra-abdominal pressure adjusting device and method.The device comprises an adjustable support used for supporting a skin contact assembly and allowing the position and angle of an electromagnet to be adjusted; the electromagnetic adsorption assembly is fixed on the adjustable bracket and is used for lifting the abdominal skin of the patient according to an electromagnetic adsorption effect so as to reduce the abdominal wall pressure; the skin contact assembly connected with the electromagnetic adsorption assembly is used for being attached to the skin of a patient and forming a sealed space; the control assembly is electrically connected with the electromagnetic adsorption assembly and used for collecting current pressure data and dynamically adjusting current output of the electromagnetic adsorption assembly according to a preset pressure threshold value and the current pressure data. Therefore, the problem that in the prior art, although the body position therapy can relieve the gravity compression of the abdominal wall, in a critical patient needing to be kept in a semi-reclining or upright position, the reverse effect of chest pressure conduction and diaphragm downward movement possibly aggravates the pressure load of the abdominal cavity is solved.

The invention relates to the technical field of human body breathing micro-motion modeling and holographic imaging, and particularly discloses a radar human body breathing micro-motion 4D modeling and high-resolution holographic imaging method, which is characterized by comprising the following steps of: performing irradiation perception on a human chest target by adopting a multiple-input multiple-output plane radar array; a thoracic cavity target is regarded as a'vector signal source ', namely the thoracic cavity target is equivalent to a set of scattering points of which the spatial positions are mutually discrete; in the geometric model, a graphical representation 3D space coordinate system is established by taking the center of a radar array as an original point and a plane where the array is located as an XOZ plane. According to the radar human body breathing micro-motion 4D modeling and high-resolution holographic imaging method, the micro-Doppler principle is combined, and the micro-Doppler information of each scattering point in the fourth dimension, namely the slow time dimension, is obtained based on the phase decomposition and extraction technology, so that 4D precise reduction of the fluctuation process of the thoracic cavity of the human body is realized.

The invention relates to the field of electrocardiogram treatment, and discloses an individualized electrocardiogram operation process relying on iconography examination and an AI large model, which comprises the following steps: S1, chest CT image acquisition: a CT scanner is used for acquiring chest image data of a patient, the CT scanner can generate high-resolution multilayer CT images, and the data format comprises but is not limited to a DICOM format; s2, heart projection position analysis: carrying out image preprocessing, heart segmentation, heart center point calculation and heart edge positioning on the acquired CT image data; and S3, lead position optimization: generating a lead electrode position based on a heart projection position by using an AI large model. According to the method, the actual position and form of the heart of each patient in the thoracic cavity can be accurately determined through CT image acquisition and heart projection position analysis, and the optimized lead position is generated by utilizing the AI large model based on the individualized projection positions, so that the lead electrode can more accurately capture the electrical activity of the heart.

The application discloses a thoracic cavity closed drainage bottle, which comprises a collecting bottle, a water seal bottle and a pressure measuring bottle, a liquid level alarm assembly and a fan assembly are arranged in the collecting bottle, a connecting pipe is arranged at the top end of the collecting bottle, and a dredging assembly is arranged in the connecting pipe; the liquid level alarm assembly is hung in the collecting bottle; the fan assembly is arranged below the bottom end of the connecting pipe which extends into the collecting bottle; the dredging assembly comprises a pressure increasing part, first opening and closing valves, second opening and closing valves, third opening and closing valves and a side pipe; the first opening and closing valves and the second opening and closing valves are arranged at the top end and the bottom end of the connecting pipe; the pressure increasing part is arranged outside the top end of the connecting pipe, and the side pipe is arranged outside the bottom end of the connecting pipe; and the third opening and closing valves are arranged in the side pipe. The application can monitor the amount of thoracic fluid in the collecting bottle, can determine the tendency of active bleeding in time, can give a prewarning when the amount of thoracic fluid in the collecting bottle is about to be full, and can automatically dredge when the pipeline is blocked during the drainage process, so that the tube pulling operation is not needed, and the pain of the patient is reduced.

The utility model relates to the technical field of medical instruments, and discloses a cardiology department thoracocentesis effusion drainage device which comprises a device body, a mounting plate is arranged on the inner side of the device body, a device top plate is arranged at the top end of the mounting plate, a connecting insertion block is arranged in the middle of the device top plate, and a fixing screw is arranged at the top end of the connecting insertion block. A rotating top cover is arranged on the outer side of the top end of the liquid inlet pipe; a connecting pipe is arranged at the middle part of the rotating top cover; a transfer block is arranged at the top end of the mounting circular block; an air bag is arranged at the front end of the transfer block; by arranging the device main body and the clamping plate, the device can be conveniently detached, the inner side of the device main body can be cleaned, the device can work more stably during working, and the device is prevented from being collided, so that the working effect is prevented from being influenced.

The invention discloses a thoracic surgery pulmonary infection effusion drainage device and belongs to the technical field of medical instruments, the thoracic surgery pulmonary infection effusion drainage device comprises a drainage catheter structure, a filtering structure and a connecting assembly, the drainage catheter structure comprises an insertion tube, the two ends of the insertion tube are connected with a fixing tube and a hemispherical end respectively, and a partition plate is arranged in the insertion tube and the fixing tube; a plurality of drainage holes are formed in the end, close to the hemispherical end, of the insertion tube in the circumferential direction, and a medicine feeding hole is formed in the portion, above the drainage holes, of the insertion tube and communicated with the monitoring cavity. By means of the semispherical end and the drainage hole of the drainage catheter structure, lung tissue is prevented from being scratched when thoracic wall puncture is conducted, the lung tissue damage rate can be reduced to be smaller than or equal to 0.5%, drainage, pressure monitoring and drug administration are achieved through the double-cavity structure, one-time puncture is completed, and the pain of a patient is relieved; by arranging the partition plate, the drainage cavity and the monitoring cavity are isolated, liquid medicine is prevented from polluting an effusion sample, and the infection risk is reduced.

The invention discloses a thoracic cavity exhaust and drainage device based on the Tesla valve principle, and belongs to the technical field of medical instruments, the thoracic cavity exhaust and drainage device comprises two drainage tubes, namely an exhaust drainage tube and a drainage drainage tube; the exhaust pipe is detachably connected and communicated with one end of the exhaust drainage pipe, and the other end of the exhaust drainage pipe is detachably connected and communicated with one of the through pipes of the puncture trocar; the liquid discharge tube is detachably connected and communicated with one end of the liquid discharge and drainage tube, and the other end of the liquid discharge and drainage tube is detachably connected and communicated with the other through tube of the puncture trocar; and the bacteria isolation cover is detachably arranged on the puncture trocar and is used for preventing the puncture part from being infected in the drainage process. The bacteria isolation cover is arranged, so that infection caused by the fact that a puncture position is not effectively protected in the drainage process is prevented.