464 results about "Chest cavity" patented technology

The invention relates to the field of heart rate monitoring, and discloses a millimeter wave radar breath and heart rate synchronous monitoring method and system, and the method comprises the steps: transmitting a linear frequency modulation continuous wave signal according to a millimeter wave radar, and collecting original echo data reflected by a target region; baseband signal demodulation and phase information extraction are carried out on the original echo data to obtain original phase time sequence data, and the original phase time sequence data comprise thoracic cavity micro-motion features; and according to a Butterworth band-pass filter, preprocessing the original phase time sequence data through human body physiological signal frequency band characteristics to obtain a breathing frequency band signal and a heart rate frequency band signal. According to the method, the apnea event triggering threshold value and the arrhythmia early warning index are updated in real time through Kalman filtering and extended Kalman filtering, so that the monitoring system can dynamically adjust the health parameters, which means that the monitoring system can be optimized in real time and the abnormal health event can be accurately responded in different physiological states.

The invention provides an expectoration auxiliary control method and device. The method comprises the steps that audio signals of breathing sounds and cough sounds at multiple positions of the chest of a patient are collected through an audio sensor array, and a standardized audio feature data set is obtained through noise reduction, segmentation and feature extraction; a dynamic weighted graph model is constructed, and a random edge sampling algorithm and a parallel batch processing dynamic algorithm are combined to analyze and obtain a sputum viscosity index and a sputum distribution position map; based on the result, mapping the vibration parameter space into an unweighted disk diagram, and obtaining a personalized vibration treatment scheme by using a shortest path algorithm; in combination with the real-time breathing cycle of the patient, working parameters of the sound wave vibrator and the negative pressure suction device are synchronously controlled, and a coordinated and consistent multi-mode treatment execution instruction is obtained; and collecting real-time feedback data in treatment, and dynamically adjusting working parameters through reinforcement learning to obtain an optimized expectoration adjuvant therapy scheme. Intelligent adjustment can be achieved based on the real-time breathing state and sputum characteristics of the patient, the expectoration efficiency is improved, and discomfort of the patient is reduced.

The invention discloses a sleep apnea type distinguishing method and device based on a millimeter wave radar, and a computer readable storage medium. The method comprises the following steps: acquiring a millimeter wave radar echo signal of a monitored object in a monitoring area; extracting body movement signal characteristics, thoracic cavity reflection signal energy characteristics and respiratory signal amplitude characteristics from the echo signals; on the basis of the extracted body movement signal features, the chest reflection signal energy features and the respiratory signal amplitude features, constructing a feature sequence with a time sequence; and inputting the feature sequence into a pre-trained classification model based on a self-attention mechanism to perform dynamic correlation analysis, and determining the sleep apnea type of the monitored object. The method has the advantages of non-contact type, accurate distinguishing of sleep apnea types and the like.

The invention discloses a millimeter wave radar vital sign detection method based on an HHO-CEEMDAM algorithm, and the method comprises the steps: building a millimeter wave radar experiment system, and collecting an intermediate frequency signal of a human body echo; performing data reading and recombination, extracting phase features, and enhancing a target signal through non-coherent accumulation to determine the distance between the chest of the human body and the radar; recovering the phase of the vital sign signal from the incoherent accumulation FFT result by using the linear characteristic of arc tangent demodulation, and performing phase unwrapping and phase difference to obtain optimized phase information; setting a CEEMDAN parameter initialization range and designing a fitness function; a CEEMDAN parameter is optimized by using an HHO algorithm; performing CEEMDAN decomposition by using the optimized parameters, and screening breathing and heartbeat IMF components; and according to the IMF component, obtaining estimated values of the respiratory rate and the heart rate. The method improves the estimation precision of the respiratory rate and the heart rate of the millimeter wave radar in fatigue driving detection.

The invention belongs to the technical field of wireless sensing and artificial intelligence, and discloses a high-robustness non-contact accurate electrocardiogram monitoring method based on a millimeter wave radar. Firstly, the distance and angle of a potential target are obtained through distance fast Fourier transform and digital beam forming technologies, and static background removal and thoracic cavity position detection are achieved in combination with mean filtering and a two-dimensional constant false alarm rate algorithm. And then a continuous phase is extracted by using a differential cross multiplication method, a two-step heartbeat-related phase extraction scheme is designed, body micro-motion and breathing interference are removed by adopting B-spline fitting and differential operation respectively, and a stable heartbeat-related phase signal is obtained. A heart rate-guided adaptive wavelet decomposition method is designed to obtain multiband features, and time-frequency joint features are extracted through a double-branch attention mechanism and a gating fusion part. Finally, the time-frequency joint features are input into an electrocardiosignal time domain reconstruction module based on a TransUNet architecture, high-quality reconstruction of electrocardiosignals is achieved, and the method has the advantages of being non-contact, continuous and convenient.

The invention provides a heart rate and breath prediction method, a program product, electronic equipment and a storage medium. The method comprises the following steps: acquiring an original signal sequence acquired from a human body through an ultra-wideband radar; determining a thoracic cavity displacement signal according to a mapping relation between the phase change and thoracic cavity displacement; performing multi-domain feature extraction on the thoracic cavity displacement signal to obtain multi-domain features; the multi-domain features comprise time domain features, frequency domain features and time-frequency domain features; on the basis of the multi-domain features, prediction values are obtained through a pre-trained prediction model, and the prediction values comprise the heart rate and the respiratory rate in the future time period. The robustness of the algorithm is enhanced through multi-dimensional feature fusion, high precision is still kept in an electromagnetic interference or multi-target scene, and the reliability of heart rate and respiratory rate prediction in a complex environment is improved. The physical signal advantage of the ultra-wideband radar is complementary with the environmental adaptability of the neural network, and the prediction accuracy of the heart rate and respiratory rate is improved.

The invention discloses an intelligent monitoring device for chest drainage components, which comprises a spectrum analyzer and a drainage bin, a main control chip; an output unit; a power supply unit; a detection area is arranged on one side of the spectrum analyzer, a detection end capable of stretching into the detection area is arranged on one side of the drainage bin, a detection cavity allowing drainage liquid to enter is formed in the detection end, the optical detection module comprises a light source module capable of emitting light beams to the detection cavity and a detector used for receiving reflected light beams, and the detector is connected with the main control chip. A reflective optical detection technology is adopted, monitoring of key components such as hemoglobin, chylomicroparticles and inflammatory factors is realized at the same time, a characteristic absorption spectrum of a specific biomarker can be covered by a multi-wavelength light source module, and concentration change trends of various components are synchronously obtained by combining absorbance dynamic analysis of a main control chip; the limitation of single parameter detection of a traditional device is broken through.

A breakaway chest drain connector, which includes a first part having an inlet for connecting to an upstream portion of a chest drain tube, a one-way valve and a first flange surrounding the one-way valve; and a second part having an outlet for connecting to a downstream portion of the chest tube, a second flange and a hollow protrusion, the second flange surrounding the hollow protrusion. The second part is connectable to the first part by securing the first flange to the second flange such that the hollow protrusion passes through the one-way valve to form an uninterrupted fluid flow passage from the inlet through the hollow protrusion and the outlet along a longitudinal axis of the connector. The first and second flanges are separable by applying a longitudinal separation force above a defined threshold separation force.

The invention relates to the technical field of biological radar signal processing, in particular to an FMCW radar-based heart beat interval estimation method, which comprises the following steps of: S1, converting a chest vibration echo phase time sequence obtained by irradiating a chest area of a monitored object by an FMCW radar into an acceleration time sequence by using a second-order time derivative; s2, dynamically mapping the center frequency and the wavelet order in a preset frequency analysis interval, constructing a self-adaptive wavelet dictionary, then executing multi-order wavelet time domain convolution operation on the acceleration time sequence by using the dictionary, and aggregating time-frequency energy distribution to generate a time-frequency energy diagram; and S3, performing a deconvolution operation reconstruction strategy based on an energy-guided multi-stage time-frequency feature screening technology and wavelet function conjugation, generating an approximate time domain signal of heart beat vibration, and completing heart beat information inversion. According to the method, the accuracy and robustness of IBI extraction can be effectively improved under the condition of low signal-to-noise ratio, so that stable monitoring of light and moderate HRV (heart rate variability) is supported.

The invention discloses a closed thoracic drainage bottle facilitating drainage, and belongs to the field of medical instruments. The device comprises a water seal bottle, a negative pressure adjusting bottle, a water seal pipe and a chest drainage pipe, and is additionally provided with an adjusting assembly and a liquid collecting assembly. The liquid collecting assembly comprises a first liquid collecting bottle and a second liquid collecting bottle which are symmetrical; the adjusting assembly comprises a fixing plate and four sets of two-way valves, the fixing plate is provided with symmetrical connectors which are connected with the liquid collecting bottle and the chest drainage tube respectively, and the two forked ends of the water sealing tube penetrate through the corresponding two-way valve connectors and stretch into the liquid collecting bottle. Seamless switching of the double liquid collection bottles can be achieved by controlling opening and closing of different two-way valves, and drainage does not need to be interrupted when the liquid collection bottles are replaced. The device is easy and convenient to operate, the drainage efficiency is improved, and drainage continuity and safety are guaranteed.

The invention belongs to the technical field of chest drainage auxiliary equipment, and discloses a fixing device for preventing a chest drainage tube from falling off after a thoracoscope operation, the fixing device comprises a fixing seat, a winding center shaft is arranged in the fixing seat, an adhesive tape is wound outside the winding center shaft, and the free end of the adhesive tape penetrates through the fixing seat and extends to the outer side. When a user has a large amount of sweat to cause viscosity failure of the adhesive tape, the clamping assembly is unscrewed, the adhesive tape body at the front end is torn off through the separation notch, the adhesive tape body at the front end is discarded, and a new adhesive tape body continues to be pulled outwards, so that pasting treatment after quick replacement can be carried out, the whole fixing device connected to the outer side of the drainage tube does not need to be replaced, and operation is convenient. The practical switching operation of a new adhesive tape body is simple, the quick replacement treatment can be realized in the skin surface pasting and fixing period aiming at obese people easy to sweat and the condition that frequent replacement is needed, the whole fixing device does not need to be discarded, and the use effect is good.

Various embodiments include methods for generating patient-specific heart and thorax models using anatomical landmarks and segmentation data, optimized through the application of trained neural network models. Three-dimensional medical imaging data may be processed by a trained neural network to automatically segment and isolate the heart, blood cavities, and thorax to extract feature maps from the segmented images. Anatomical landmarks, such as the heart apex and valve centers, are identified and the alignment of heart axes is verified. Reference heart and thorax models are selected and adapted to fit the patient-specific landmarks through scaling, translating, and rotating. Best adapted heart and thorax models may then be used for conducting one or more medical procedures. Neural network models, trained on historical patient data sets, may be refined through machine learning from new patient data, thereby improving accuracy.

The invention relates to the technical field of medical information analysis, in particular to a thoracic surgery postoperative complication assessment method and system based on multi-dimensional analysis, and the method comprises the following steps: S1, obtaining a postoperative multi-dimensional monitoring data set; s2, performing standardized preprocessing on the multi-dimensional monitoring data set to generate standardized monitoring data; s3, classifying and integrating the standardized monitoring data into physiological function data, drainage feature data and motion perception data according to data types; s4, chest dynamic pressure change analysis is carried out, and pressure gradient change parameters are calculated; s5, obtaining an abnormal metabolite ratio index; and S6, generating a complication risk assessment report. According to the method, through standardized integration and weighted analysis of the multi-dimensional postoperative monitoring data, accurate quantitative evaluation and graded output of the thoracic surgery postoperative complication risk are realized, and the reliability of early warning and the timeliness of clinical intervention are improved.

The invention discloses a four-dimensional EIT respiration monitoring method based on digital twinborn assistance, which comprises the following steps: firstly, constructing an individualized digital twinborn model which comprises an accurate three-dimensional geometric structure and electrical characteristic parameters and covers thoracic cavity whole organ systems including double lungs, a heart, a central axis skeleton, a main bronchus, an esophagus and the like on the basis of a chest medical image CT of a patient; the method comprises the steps that firstly, a stable and standardized theoretical reference voltage is generated on a model through electromagnetic field simulation, then, virtual-real fusion is conducted on the theoretical reference voltage, a clinically-collected voltage signal in real time and a clinically-actually-measured reference voltage sequence, and finally, a four-dimensional conductivity change image is reconstructed based on the fused dynamic voltage difference. According to the method, reference drift is effectively inhibited, individualized anatomical information is fused, and semi-absolute quantitative evaluation of the pulmonary ventilation function is achieved.

The invention relates to the technical field of respiration monitoring, and provides a sensor-based respiration monitoring system which comprises a non-contact radar sensor, a signal preprocessing unit, an active state monitoring module, a dynamic threshold adjusting unit, a respiration signal reconstruction module, a respiration event judging module and a data fusion calibration unit. The sensor collects original respiratory vibration data of the thoracic cavity, and initial baseband signals are extracted through preprocessing; the monitoring module evaluates an activity state and adjusts unit self-adaptive configuration parameters; the reconstruction module generates a high-fidelity respiratory effort signal through filtering and phase compensation; the judgment module extracts features, recognizes and classifies respiratory events, and the calibration unit fuses multi-source data to verify a correction result. The system can be deployed on multiple devices, interference-free long-term monitoring is achieved, respiratory events can be accurately recognized, types can be subdivided, and the monitoring precision and adaptability are greatly improved.

The invention relates to the technical field of radar measurement, and discloses a millimeter wave radar-based heart rate high-precision measurement method and system, and the method comprises the steps: searching a thoracic cavity target through a frequency modulation continuous wave radar, positioning a heart position, and extracting a complex signal corresponding to the heart motion; performing calculation of different dimensions on the complex signal, and obtaining a preliminary heart rate value through mutual verification of calculation results; through a three-level verification mechanism of motion interference elimination, clutter interference elimination and breathing harmonic interference elimination, confidence degree checking is conducted on the initial heart rate value, and a high-reliability result is reserved; based on a high-reliability result of the preliminary heart rate value, data in the recent preset time period are calculated with higher precision, and the final heart rate value is output, so that the accuracy rate of radar measurement of the heart rate can be greatly improved, meanwhile, multiple interferences are effectively inhibited, low-cost hardware is adapted, the applicability to broad-spectrum crowds and complex scenes is enhanced, only the high-reliability heart rate value is output, and the method is suitable for popularization and application. And the heart rate instantaneous change is dynamically responded.

The invention relates to the technical field of machine-to-machine communication, in particular to an edge communication control method of a medical oxygen generation system, which comprises the following steps of: tracking an inspiration flow rate track to construct a ventilation rhythm segment, calculating time offset by combining thoracic cavity displacement response, and analyzing an offset evolution trend to screen an asynchronous period with increasing amplitude; the flow rate rising form is synchronously monitored to identify sudden change characteristics such as trend interruption, oxygen supply actions are configured for the period with asynchronous and sudden change characteristics, control instructions are integrated, and an edge communication period control configuration set is obtained. According to the invention, a rhythm interval and a multi-dimensional time sequence mapping relation are constructed through two-channel data of inspiration flow velocity and thoracic cavity displacement, cross-cycle tracking fluctuation evolution is carried out to doubly screen asynchronous response and flow velocity mutation characteristics, oxygen supply action insertion logic is combined, and time migration and a synchronous state are incorporated into edge communication configuration; and a rhythm number and state label corresponding mechanism is established, and precise oxygen supply time sequence linkage matching and instruction control are achieved.

The invention discloses a high-frequency full-chest oscillation sputum excretion method and system based on clinical data self-adaptive regulation and control, and the method comprises the steps: building an individualized propagation model of thorax and lung tissues through collecting individualized clinical data of a patient and chest multipoint acoustic and mechanical short-range response; the current body position of a patient is input into the model, a chest drainage path is obtained, oscillation control parameters are generated under the constraint of the path, and the oscillation control parameters are used for driving equipment to synthesize pressure traveling waves which are directionally propagated in multiple areas of the chest wall. In the execution process, safety gating control is conducted in combination with electrocardio and breathing phases, meanwhile, aerosol echoes and high-frequency impedance disturbance are collected to serve as feedback signals, and feedback data are formed after the feedback signals are aligned with an execution time sequence and used for dynamically updating the individualized propagation model and oscillation control parameters. According to the invention, accurate regulation and control can be carried out according to individual differences and real-time physiological statuses of different patients, the sputum drainage effect is effectively enhanced, the safety and comfort of treatment are improved, and the clinical application value is high.

Systems, devices and methods are provided for supporting cardiac function. A device comprises an elongate housing configured for implantation into a patient exterior to the chest cavity. The housing includes a first inlet and an outlet that define a primary blood flow path from the left atrium through at least a portion of the housing within the right atrium, and to the aorta. The housing comprises a motor disposed within the housing and an impeller coupled to the motor for pumping blood from the first inlet to the outlet of the housing through the primary blood flow path. The device bypasses the left ventricle by drawing freshly oxygenated blood from the left atrium and propelling this blood directly into the aorta. Implanting the pump exterior to the chest cavity is less invasive and allows the pump to be quickly and easily repaired, cleaned, repositioned and or replaced without removing or replacing the tubes that are anchored to sensitive tissue structures within the thoracic cavity.

The invention relates to the technical field of external thoracic drainage, and particularly discloses a drainage device for thoracic surgery nursing, which comprises a bottle body and a collecting cavity, the collecting cavity is arranged on the bottle body, the bottle body is provided with a water seal cavity and a pressure regulating cavity, the collecting cavity is used for collecting hydrops and gas discharged from the thoracic cavity of a patient, and the water seal cavity discharges the gas in the body of the patient in the form of bubbles. The pressure adjusting cavity is used for adjusting and maintaining the negative pressure level of the drainage device, the collecting cavity is connected with a drainage tube, and the monitoring assembly is arranged in the collecting cavity, corresponds to the drainage tube and is used for monitoring the flow of accumulated liquid in the drainage tube and the negative pressure in the collecting cavity and judging whether the drainage tube is blocked or damaged or not. By monitoring the hydrops flow in the drainage tube and the negative pressure state in the collection cavity, whether the drainage tube is blocked or damaged or not is judged according to the hydrops flow and the negative pressure state, and when facing abnormal drainage, medical staff can give an alarm in time to inform the medical staff to quickly judge whether the drainage tube is blocked or is physically damaged.

The invention provides a chest drainage amount data display method and device, electronic equipment and a storage medium, and the method is characterized in that magnetoresistive sensor groups are arranged on two opposite sides outside a drainage bottle, a height data group of a magnetic floating ball is obtained through the magnetoresistive sensor groups, and an inclination angle is calculated; the chest drainage data at each moment is directly calculated according to the height data set at each moment and is displayed at the first frequency, the display accuracy and timeliness of the chest drainage data can be ensured, when the inclination angle is larger than the preset angle, the height data sets at n continuous moments are firstly taken, then m target height data sets are selected, and the target height data sets are displayed at the same time. The chest drainage volume data is calculated on the basis and displayed at the second frequency, calculation errors caused by the fact that single-point value taking is affected by shaking can be solved, display jumping caused by frequent change of the drainage volume data can be relieved, and display of the chest drainage volume data is more accurate through integration of the two.

The invention relates to the technical field of respiratory function monitoring, and discloses a pulmonary ventilation blood flow distribution real-time monitoring method and evaluation system based on a sensor. The method comprises the following steps: acquiring multi-modal data such as a blood oxygen saturation waveform, an airflow rate waveform and a thoracic pressure waveform of a lung area; performing time synchronization processing on the data to generate a time alignment sequence; dividing the data into an inspiration phase, an expiration phase and a transition phase according to a preset rule; extracting time-frequency domain features from each phase segment, and constructing a multi-dimensional respiration feature matrix; identifying an abnormal breathing mode and marking an abnormal section through breathing phase switching frequency analysis; decomposing the normal segment feature matrix by using a lung pathological feature library to generate a pathological feature vector; a pathological feature vector is optimized through a ventilation and blood flow coupling model; and carrying out abnormal region positioning based on the lung pathology propagation network, and generating a lung partition function evaluation result. The method realizes non-invasive and real-time monitoring, and is suitable for scenes such as clinical monitoring and rehabilitation evaluation.

The invention discloses a microwave sensing system and device for monitoring the lung water content. The microwave sensing system comprises three top modules, namely a microwave sensing front-end module, a data preprocessing module and a lung water content inversion module. Wherein the microwave sensing front-end module comprises a radio frequency transceiving system and a microwave sensing antenna group attached to the chest and the back of a human body, and is used for transmitting and receiving electromagnetic waves penetrating through a thoracic cavity area to obtain an S parameter capable of reflecting electromagnetic characteristics of the lung; the data preprocessing module comprises S parameter preprocessing and physiological parameter preprocessing, robust phase unwrapping, absolute phase correction, respiratory interference suppression and other principles are carried out on collected S parameters to form stable electromagnetic characteristics, and human physiological parameters are preprocessed to form physiological characteristics; the lung water content inversion module comprises a neural network model used for lung water content inversion. The system has the advantages of non-invasive measurement, high measurement precision, strong real-time performance, controllable cost and the like, and is suitable for continuous monitoring and abnormity diagnosis of the lung water condition in heart failure management.

The invention provides an anti-explosion humanoid robot with a self-adaptive posture adjustment function, and belongs to the technical field of robot manufacturing, the anti-explosion humanoid robot comprises a chassis frame, a chassis wheel train, a chassis upper assembly and a lifting assembly are mounted on the chassis frame, the lifting assembly vertically ascends and descends through a Z-shaped connecting rod mechanism, and a hip module is mounted at the top end of the lifting assembly; the lifting assembly provides pitching degree of freedom for the hip module, a thoracic cavity assembly is fixed to the output end of the hip module and integrated with a control and power distribution system, humanoid mechanical arms are symmetrically installed on the two sides of the thoracic cavity assembly, tail end assemblies are installed at the tail ends of the humanoid mechanical arms, and force sensors and clamping jaws are integrated with the tail end assemblies. The top of the chest assembly is provided with a head assembly; and the cabin system is used for controlling the explosion-proof humanoid robot. The whole humanoid robot can move in the X1 direction, the X2 direction, the Y1 direction and the Y2 direction through the wheel type chassis, and can move in the Z1 direction and the Z2 direction through the lifting assembly. The explosion-proof humanoid robot has the omni-directional posture adjusting capacity, high load adaptability, modular chassis compatibility and an intelligent sensing system, and the bottleneck in the prior art is broken through.

An anti-accidental-touch chest drainage tube fixing device, which effectively solves the problems of existing chest drainage tubes, including an insufficient shock absorption and buffering effect, the lack of a mechanism for isolating external drainage-tube shaking, inconvenience for patients to get out of bed due to the absence of a temporary opening-closing and sealing mechanism, an insufficient anti-accidental-pulling mechanism, inadequate buffering capacity, and the lack of a self-sealing mechanism. The technical solution provided herein is an anti-accidental-touch chest drainage tube fixing device, comprising a self-adhesive patch (1) applied to a wound, and a drainage tube (2), wherein a rectangular box (3) is provided above the self-adhesive patch (1), a winding roller (4) is provided in the rectangular box (3), the ends of the winding roller (4) are articulated to side plates of the rectangular box (3) by means of torsion springs, and a cylindrical block (5) is provided in the middle of the winding roller (4); two transmission rollers (6) are provided on the lower side of the winding roller (4); two longitudinal shafts (7) are provided in the cavity of the rectangular box (3); a double-ended lead screw (8) is provided in the cavity of the rectangular box (3), and two sliders (9) are screwed on the double-ended lead screw (8); a gear (10) is provided at the right end of the double-ended lead screw (8), a swing rod (11) is provided on the self-adhesive patch (1), and a ring gear (12) is provided at the upper end of the swing rod (11); and an arc-shaped rack (13) with a downward opening is provided on the self-adhesive patch (1), and when the swing rod (11) drives the rectangular box (3) to swing back and forth, the gear (10) can rotate under the action of the rack (13).

A chest tube device designed for rapid deployment includes a chest tube and a stylet removably positioned in the lumen of the chest tube. The chest tube includes a flange between the proximal and distal ends to limit insertion of the chest tube into the patient's s body during deployment. At least one strap can be coupled to the flange and secured to the patient to inhibit or prohibit relative movement of the chest tube and patient.

The invention relates to the technical field of hydrops quantitative evaluation, and discloses an ultrasound-based pleural hydrops quantitative evaluation system, which comprises an image acquisition module, a boundary division module, a trajectory analysis module, a feature judgment module, a mode classification module and a quantitative evaluation determination module, the positioning module is used for positioning an area which deforms along with breathing movement in the ultrasonic image sequence, and dividing a suspected effusion cavity boundary based on the consistency of a deformation mode; the trajectory analysis module is used for analyzing moving trajectories of the suspected effusion cavity boundary at different breathing phases and extracting regularity features and amplitude change features of the moving trajectories; the feature judgment module is used for judging the mechanical coupling state of the suspected effusion cavity and the surrounding lung tissue according to the combination of the regularity feature and the amplitude change feature; according to the method, the comprehensiveness and accuracy of quantitative evaluation of the pleural effusion are remarkably improved, and a more valuable decision basis is provided for clinical diagnosis and treatment.

The utility model provides a safety air bag structure and a vehicle. The safety air bag structure comprises at least one head inner pull belt, an inflation channel, a head cavity and a chest cavity installed on a vehicle body and communicated with an air source. The head cavity is communicated with the chest cavity through an inflation channel; the inner side wall of the head cavity is provided with at least one group of connecting areas which are in one-to-one correspondence with the head inner drawstrings; each group of connecting areas comprises two sub-areas which are oppositely arranged; and each head inner drawstring is connected between the two sub-regions of the same group of connecting regions. According to the safety air bag structure, secondary damage to the head of a passenger is reduced, the contact area between the head cavity and the head is increased, and the protection effect on the passenger is improved.

The utility model provides a cardio-pulmonary resuscitation rescue bed with a telescopic chest, and belongs to the technical field of medical equipment. Comprising a position correcting device and a bed body, an ejection area is arranged on one side of the top of the bed body, the interior of the ejection area penetrates through the inner side wall of the bed body, and the position correcting device is located in the ejection area. A patient is placed on the bed body, the middle of the assembly plate is aligned with the heart of the patient through the third drive motor and the second drive motor, the first drive motor drives the worm to be meshed with the two sets of worm wheels, and therefore the two sets of drive rods are driven to rotate, the four sets of ejector rods are made to eject the assembly plate upwards, and the chest of the patient is ejected away from the bed body. The top end of the cardiopulmonary resuscitation machine is clamped into the clamping seat, and the pressing plates at the two ends are clamped with the two ends of the assembling plate, so that the cardiopulmonary resuscitation machine can conduct resuscitation operation on the heart and the lung of a patient, and the problems that an existing cardiopulmonary resuscitation rescue bed cannot adapt to patients of various body types, and meanwhile work of the cardiopulmonary resuscitation machine is hindered are solved.

The utility model discloses a novel transfer wheel stretcher capable of placing a chest drainage device, which comprises a wheel stretcher, and a storage device for placing the drainage device is arranged on the wheel stretcher. The storage device capable of containing the drainage device is arranged on the side edge of the wheel stretcher, so that the drainage device can be protected, the risk that the chest drainage device is impacted or damaged during transferring is reduced, the chest drainage device is protected, and the effect of further protecting a patient is achieved. By means of the device, the technical problems that in the prior art, a drainage device placing position is not arranged on a stretcher, a drainage device is prone to falling off or being damaged in the patient transferring process, and great potential safety hazards exist on a patient are solved.