363 results about "Thoracic cavity" patented technology

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 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 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 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.

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 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 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 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 belongs to the technical field of medical equipment, and particularly relates to a drainage device for thoracic surgery postoperative pleural effusion nursing, which comprises a drainage box, a controller, a negative pressure machine, an infusion tube and a liquid extraction tube, the pretreatment mechanism is arranged on the liquid pumping pipe; the flow detector is mounted at one end of the liquid pumping pipe; the negative pressure mechanism is mounted on the side surface of the drainage box; wherein the pretreatment mechanism comprises a crushing part, the crushing part is arranged in the liquid extraction pipe, a plugging part is connected to the crushing part in a sliding manner, and a flushing part is further arranged on the liquid extraction pipe; the negative pressure mechanism comprises a shell set, the shell set is connected to the side face of the drainage box, a gas conveying pipeline is arranged at one end of the shell set, and a wobble plate mechanism is arranged at the other end of the shell set. According to the device, blockage prevention, automatic flushing and manual negative pressure maintenance can be achieved, and the safety and efficiency of pleural effusion extraction are remarkably improved.

The invention relates to the technical field of robot collision test, and provides a human body model for collaborative robot interaction collision test and a control method thereof, and the human body model comprises a head module which comprises a head supporting part and a head model covering the outer layer of the head supporting part, and a three-dimensional force sensor is fixed on the side surface of the head module; the neck module comprises a neck skeleton rotationally connected with the head supporting part, and a six-dimensional force sensor is arranged at the joint; the trunk module comprises a trunk skeleton hinged to the neck skeleton and a thoracic cavity model covering the outer layer of the trunk skeleton, a plurality of three-dimensional force sensors are arranged on the front chest part of the trunk skeleton, and a three-dimensional force sensor and a flexible sensor are arranged on the back part; the big arm skeleton is connected with the trunk skeleton and is provided with a three-dimensional force sensor; the pose adjusting module comprises a horizontal rotating structure and a linear module, and simulates human body steering and gait movement so as to drive the head module, the neck module, the trunk module and the upper limb module to move and collide with the collaborative robot. Omnidirectional capture and analysis of the space collision force are realized.

The invention discloses a preparation method and system of a mouse craniocerebral thoracico-abdominal combined injury dynamic model based on AI, and belongs to the technical field of biomechanical injury. The method comprises the steps that impact is applied to a mouse skull, and the impact is conducted along an organ synergistic conduction chain so as to induce the craniocerebral thoracico-abdominal combined injury of the mouse; in the impact applying process, multi-modal physiological data are synchronously collected; and inputting the collected multi-modal physiological data into an AI analysis model, analyzing the injury mechanism of the craniocerebral thoracic-abdominal combined injury, and establishing a dynamic model based on an analysis result. According to the technical scheme provided by the invention, high-simulation modeling of multi-organ cascade injury is realized by constructing the organ synergistic conduction chain from the brain to the thoracic cavity; in combination with multi-modal physiological data synchronous acquisition and an AI analysis model, injury time sequence characteristics can be accurately extracted, a causal path of a local injury initiation system response is established, and the precision and practicability of compound injury mechanism prediction are improved.

The invention discloses a thoracic cavity three-dimensional electrical impedance tomography method and thoracic cavity three-dimensional electrical impedance tomography equipment. The method comprises the following steps: acquiring a three-dimensional point cloud of the appearance of a chest area of a testee to establish a three-dimensional chest model; carrying out equipment self-inspection and checking the bonding condition of the electrode; generating a determined excitation signal and injecting the excitation signal into the testee; acquiring a voltage signal of each electrode; separating EIT and ECG signals and filtering the EIT and ECG signals; according to a three-dimensional thoracic cavity model of the testee, performing positive problem calculation on the voltage signal to obtain the potential of each electrode of the three-dimensional thoracic cavity model; and performing three-dimensional reconstruction by adopting a single-step Gaussian Newton method to obtain a lung ventilation change electrical impedance imaging graph. According to the method, the three-dimensional thoracic cavity model of the testee is constructed, the positive problem solution is performed on the voltage signal, and the image reconstruction is further performed, so that the real-time high-precision three-dimensional dynamic imaging of the thoracic cavity of the testee can be completed, and the imaging accuracy is high.

The utility model belongs to the field of medical instruments, and discloses a puncture bag for chest drainage, which comprises a puncture needle. The guide wire can be arranged in the puncture needle in a penetrating manner; the tip of the guide wire is a J-shaped front end, and the outer wall of the guide wire is provided with a guide wire mark; the expansion tube can be arranged on the guide wire in a sleeving manner; the front portion of the expansion tube is provided with an expansion tube bend, the tail end of the expansion tube is provided with a protruding expansion tube tail end mark, the length from the expansion tube bend to the tail end is larger than the length from the expansion tube bend to the front end, the bending direction of the expansion tube bend is the same as the orientation of the expansion tube tail end mark, and the total length of the expansion tube is equal to the length from the guide wire mark to the J-shaped front end. The drainage tube can be arranged on the guide wire in a sleeving manner. After the guide wire is arranged outside the expansion tube in a penetrating mode, the expansion tube is rotated to the tail end of the expansion tube, the mark faces the lowest position of the thoracic cavity of a patient to indicate the direction of the guide wire, and therefore the opening of the drainage tube is placed in the lowest position of the thoracic cavity, and accurate placement type drainage of pleural effusion is achieved.

The invention relates to the technical field of medical equipment, in particular to a multifunctional pleuroperitoneal fluid drainage device and system for treating lung injury, the device comprises a drainage tube, the drainage tube is communicated with a plurality of negative pressure tubes, and the ends, away from the drainage tube, of the negative pressure tubes are communicated with a negative pressure machine used for generating negative pressure suction force; the drainage tube is communicated with a plurality of flushing tubes used for conveying flushing fluid, the outer wall of the drainage tube is further provided with a wriggling mechanism used for externally pushing the drainage tube, the wriggling mechanism comprises a fixed groove body and a pushing wheel, the drainage tube is located in the fixed groove body, and the pushing wheel abuts against the drainage tube; an opening and closing mechanism is arranged on the side, close to the drainage tube, of the fixed groove body and used for communicating the flushing tube with the drainage tube based on pressing of the pushing wheel; the drainage tube is used for reducing the risk of blockage of the drainage tube and maintaining the stability of suction pressure so as to keep continuous extraction of hydrops in the thoracic cavity of a patient.

A cardiopulmonary radar signal detection system based on a pre-training-fine tuning normal form comprises a signal acquisition module, a waveform demodulation module, a signal waveform pre-training module, a signal waveform fine tuning classification module and a classification result semantization module. Wherein the signal acquisition module adopts an under-bed radar module based on a millimeter wave sensor to acquire cardiopulmonary activity information on the surface of a thoracic cavity; the waveform demodulation module extracts a cardiopulmonary activity displacement curve from the cardiopulmonary activity information by adopting a radar signal demodulation algorithm; the signal waveform pre-training module carries out waveform covering processing according to the cardiopulmonary activity displacement signal waveform information to obtain a reconstructed signal waveform result; the signal waveform fine tuning classification module performs classification label processing according to the abnormal cardiopulmonary displacement signal waveform marking information to obtain a matching result between the signal waveform and a classification label; and the classification result semantization module performs label analysis and interpretation under the combination of the knowledge base according to the classification label matching information to obtain a semantic comprehensive result of the cardiopulmonary radar signal detection system. The method is high in overall link performance, high in integration level and large in application potential.

The invention belongs to the technical field of medical instruments, and particularly relates to a thoracic surgery hydrops drainage device which comprises a drainage tube and a conveying tube. The crushing mechanism is arranged in the drainage tube; the filtering mechanism is arranged at the end part of the drainage tube and is used for blocking large impurities in the accumulated liquid; the cleaning mechanism is arranged on the crushing mechanism and is used for cleaning the filtering mechanism; the auxiliary mechanism is arranged in the conveying pipe; wherein the auxiliary mechanism comprises pressure measuring parts, the multiple pressure measuring parts are annularly distributed on the conveying pipe, pressure relief parts are arranged on the two sides of each pressure measuring part, a water conveying part is arranged on the conveying pipe, a net extruding part is arranged in the conveying pipe, and a linkage part is arranged on the water conveying part. The device can automatically monitor blockage of the filter screen and start flushing, and meanwhile, through a linkage pressure relief and filter screen expansion mechanism, chest pressure shock is effectively prevented, and smoothness of a drainage channel is doubly guaranteed.

This invention provides a three-chamber drainage bottle anti-cross-flow structure and a closed thoracic drainage device incorporating it. The three-chamber drainage bottle anti-cross-flow structure includes a sealed shell, a suction tube, a first control switch, and a second control switch. In use, the sealed shell is installed above the drainage bottle, the second control switch is connected to the suction port, and the suction tube is sealed inside the inlet, with one end connected to the collection port and the other end flush with the 0 level line. Initially, the first control switch is closed and the second control switch is open. In case of cross-flow, the first control switch is opened and the second control switch is closed. Under negative pressure, the suction tube draws liquid into the working chamber. After suction is complete, the first control switch is closed and the second control switch is opened, allowing the liquid in the working chamber to flow into the pressure regulating bottle. This invention can drain excess liquid from the water-sealed bottle, thereby reducing the frequency of drainage bottle replacement and lowering patient medical costs. This device can be directly used with existing drainage bottles and is suitable for widespread application.

The invention relates to a method for preventing and monitoring blood pressure based on terahertz radar electrocardiogram heart rate variation parameters, and belongs to the field of terahertz radar signal processing. The method comprises the steps that a human thoracic cavity micro-motion signal is collected through a terahertz radar, an intermediate frequency signal is obtained through ADC sampling, distance dimension Fourier transform and phase unwrapping processing are carried out, and a target object is obtained; extracting a chest displacement signal containing heartbeat information; band-pass filtering is adopted to preliminarily separate respiration and heartbeat signals, and variation mode decomposition optimized by an ant colony algorithm is introduced to effectively suppress respiration harmonic interference; inputting the heartbeat signal into a multi-modal deep learning framework fusing a convolutional neural network, a long-short-term memory network and a multi-head attention mechanism to realize end-to-end high-precision reconstruction from a radar mechanical vibration signal to a standard electrocardio waveform; r peak detection is conducted on the reconstructed radar ECG signals, and time domain and frequency domain heart rate variability parameters are calculated and used for evaluating the autonomic nerve function state. The method has the effect of improving the monitoring comfort of special crowds.

The utility model relates to the technical field of thoracic cavity distraction devices, and discloses a thoracic cavity distraction device for minimally invasive surgery, which comprises a first mounting rack, the right end of the first mounting rack is detachably connected with a second mounting rack, the lower side of the right end of the first mounting rack is provided with a slot, and the lower side of the left end of the second mounting rack is fixedly connected with a calibration bolt. The shape of the outer wall of the calibration bolt is matched with the shape of the inner wall of the slot, limiting holes are formed in the opposite sides of the bottom ends of the first mounting frame and the second mounting frame, and top plates are fixedly connected to the opposite sides of the top ends of the first mounting frame and the second mounting frame; and first threaded rods are in threaded connection with the inner walls of the opposite sides, corresponding to the bottom end of the top plate, of the bottom ends of the first mounting frame and the second mounting frame and penetrate through the upper and lower sides. According to the utility model, the device is simplified, so that parts on the device cannot be shielded above the chest of a patient, the interference to a doctor in an operation can be reduced, and the efficiency of the operation is improved.

A system for improving cardiac performance includes a delivery tube and an expandable implant sized for delivery within the delivery tube. The expandable implant is adjustable between an expanded form and a compressed form. In the expanded form, the expandable implant is sized and shaped to extend beyond the delivery tube for compressing a portion of a heart. The expandable implant may take the form of a balloon and may be inflated and deflated during use. A sensor is preferably provided for measuring cardiac rhythm, wherein the expandable implant moves in synchronization with the measured cardiac rhythm. The sensor is preferably coupled to the expandable implant. The delivery tube may be sized for advancement through a thoracic cavity.

The invention provides a thoracic surgery teaching assistance method and system, and the method comprises the steps: constructing a thoracic surgery virtual operation interaction environment based on a digital twin technology, and endowing a virtual thoracic cavity tissue model with initial biomechanical parameters; an operation instruction data sequence of an operator for the virtual surgical instrument is collected in real time through the man-machine interaction interface; based on the operation instruction data sequence, calculating an operation disturbance characteristic index representing the motion dispersion degree of an operator in real time by using a sliding time window algorithm; establishing a dynamic evolution mapping model of an operation disturbance characteristic index and a biomechanical parameter, dynamically correcting an initial biomechanical parameter of the virtual tissue according to the index calculated in real time, and when the index exceeds the standard, controlling the parameter to deviate to an easily damaged state so as to simulate histopathologic change caused by rough operation; and performing physical collision response calculation and three-dimensional picture rendering according to the evolved model. According to the invention, dynamic coupling of operation behaviors and organization characteristics is realized, and the physical reality sense of teaching is improved.

A surgical method for expanding a thoracic cage during a surgical procedure includes cutting through a thoracic cage to create an upper thoracic cage portion and a lower thoracic cage portion, separating the first thoracic cage portion and the second thoracic cage portion to open the thoracic cage, and installing, between the first thoracic cage portion and the second thoracic cage portion, a device that holds the first thoracic cage portion and the second thoracic cage portion apart from each other to expand a thoracic cavity of the thoracic cage. The surgical method includes a post-surgical cavity volume of the thoracic cage that is larger relative to a pre-surgical cavity volume of the thoracic cage.