1118 results about "Blood flow" patented technology

The invention relates to the field of medical image analysis, in particular to a deep learning prediction system and method based on multi-modal thyroid cancer lymph node metastasis, and the system comprises a data collection module, a preprocessing module, a nodule segmentation module, a feature extraction module, a feature fusion module, a metastasis prediction module, an interpretability analysis module and a result display module. An ultrasonic image, an elastic imaging image, an ultra-micro blood flow image and clinical index data of a patient are integrated, an improved U-Net algorithm is used for precise segmentation of a thyroid nodule region, a multi-branch deep network is used for extracting multi-modal features, a dynamic weight fusion algorithm is used for integrating the features, and the accuracy of the thyroid nodule region is improved. According to the method, the thyroid cancer lymph node metastasis state (non-metastasis, central region metastasis or lateral neck metastasis) is predicted, meanwhile, a two-dimensional interpretability framework of Grad-CAM activation diagram and SHAP value contribution degree analysis is introduced, an intuitive prediction basis is provided for doctors, and the thyroid cancer lymph node metastasis prediction accuracy is remarkably improved.

The invention relates to the technical field of intelligent anesthesia precise regulation and control, and discloses an anesthetic dosage optimization method based on artificial intelligence. According to the method, a dynamic treatment interval is constructed, and the boundary of the dynamic treatment interval is adaptively adjusted according to the real-time sedation depth and the nociceptive stimulation level. And in the interval, performing pattern recognition on the continuous electroencephalogram signals and the hemodynamic parameters, and marking abnormal events deviating from a standard anesthesia state. And establishing a correlation network of the drug effect chamber concentration and the abnormal events, and generating a virtual drug response curve for predicting the trend of the abnormal events under different doses. Whether dose strategy reconstruction is started or not is determined by comparing the goodness of fit between the prediction curve and the actual physiological trajectory. During reconstruction, contribution weights of historical drug infusion points to abnormal events are backtracked and analyzed, and adjustment coefficients are distributed and integrated into a new infusion sequence. According to the invention, individualization and self-adaptive optimization of anesthesia administration are realized, and the accuracy and safety of anesthesia depth control are improved.

The invention discloses a hypertensive heart disease early screening system fusing ultrasonic multiple parameters, which comprises the following steps: acquiring ultrasonic image data and physiological index monitoring parameters of a patient at different time points, performing difference comparison on heart structure parameters to generate time sequence change data, and establishing a multi-dimensional data fusion scheme based on the time sequence change data and physiological indexes; according to the fusion scheme, acute risk trigger factors are identified, blood flow abnormal parameters are generated, and emergency threshold comparison is carried out to generate acute risk early warning signals; extracting a myocardial strain degradation rate to determine a chronic degradation acceleration time point, carrying out disease progress stage association to generate a chronic risk layering curve, and establishing a clinical index comparison table; carrying out double-layer correlation on the acute risk early warning signal and the chronic risk layering curve, and carrying out calibration judgment to generate a comprehensive risk judgment sequence; the sequence is decomposed into an acute judgment layer and a chronic judgment layer, a risk threshold value is configured to generate an instant early warning signal, a layered screening report is formed, and technical support is provided for early discovery of the hypertensive heart disease.

The invention discloses a cerebral apoplexy high risk group positioning evaluation system based on multi-modal data, and relates to the technical field of medical information science, the cerebral apoplexy high risk group positioning evaluation system comprises a cerebral apoplexy prevention and control management platform, and the cerebral apoplexy prevention and control management platform is in communication connection with the following modules: a multi-modal data acquisition and integration module, the multi-modal data collection module is used for collecting multi-modal data related to cerebral apoplexy from multiple channels and carrying out preprocessing operation on the collected multi-modal data. By integrating clinical data, image data, omics data and terminal health data, multi-dimensional information related to the cerebral apoplexy can be comprehensively captured, particularly, cerebral vessel digital twin is utilized to simulate hemodynamic characteristics, a plurality of data sources are fused in combination with a graph neural network, high-risk groups can be recognized more accurately, and the accuracy of cerebral apoplexy recognition is improved. The accuracy and reliability of risk prediction are remarkably improved, the problem of missing detection caused by dependence on a single data source in a traditional method is solved, and more powerful support is provided for early intervention.

The invention discloses an artificial intelligence-based periodontal state evaluation method, which comprises the following steps of: acquiring multi-modal tooth data which comprises a tooth surface image and a local blood vessel network image of an oral cavity; preprocessing the multi-modal tooth data, and performing cross-modal registration by using a registration module to obtain a registered tooth surface image and a registered blood vessel network image; extracting multi-dimensional features of the registered blood vessel network image through a first feature extraction module, wherein the multi-dimensional features comprise spatial morphological features, topological connectivity features and hemodynamic features of blood vessels; extracting macroscopic morphological features and lesion local features of the registered tooth surface image through a second feature extraction module; performing cross-modal fusion on the multi-dimensional features, the macroscopic morphological features, the local lesion features and the clinical data to obtain fusion features; and outputting a periodontal state evaluation result based on the fusion features, thereby facilitating improvement of periodontal state evaluation accuracy and periodontal disease early warning capability.

The invention relates to the technical field of medical image analysis, and discloses a cardiovascular disease detection method based on image analysis. The method comprises the steps of obtaining a medical image sequence of a target patient, and extracting a blood vessel region contour to generate an initial blood vessel topological graph; the initial topological graph is registered with a standard cardiovascular model, the curvature deviation degree and the pipe diameter variation coefficient of each blood vessel branch are calculated, and a blood vessel elastic characteristic matrix is generated in combination with abnormal displacement nodes; and performing multi-scale fusion on the curvature deviation degree, the pipe diameter variation coefficient and the elastic characteristic matrix, outputting a vascular structure anomaly index, and generating a hemodynamic parameter set. Dividing risk areas according to gradient distribution of the parameter set on the three-dimensional model, performing texture co-occurrence matrix analysis on pixel clusters in the high-risk areas, and extracting texture fingerprints of calcified plaques and lipid deposition. And determining the type and severity level of the cardiovascular disease according to the peak value distribution. According to the invention, accurate and objective detection and risk assessment of cardiovascular diseases are realized.

The invention relates to the technical field of medical image diagnosis, and discloses a cardiovascular disease diagnosis model construction method based on image processing. The method comprises the steps that cardiac medical image data of a target patient is collected, a standardized data set is generated through preprocessing, and a morphological and hemodynamic feature set is extracted; establishing a heart state evolution characteristic spectrum according to a characteristic dynamic evolution rule, dividing a pathological state space, and calculating the characteristic distribution density of a historically diagnosed case; acquiring real-time image data of a patient to be diagnosed, and constructing a real-time diagnosis feature vector; mapping the vector to a pathological state space, and calculating a space matching degree to generate a pathological association index; and combining the association index and the two types of feature sets to construct a heart pathology probability prediction model, outputting a pathology probability prediction value and generating a hierarchical diagnosis suggestion. According to the method, through multi-dimensional feature analysis and space matching analysis, precise and graded diagnosis of the cardiovascular diseases is realized, and an efficient and feasible technical path is provided for diagnosis of the cardiovascular diseases.

A prosthesis assembly includes a stent frame that is expandable and configured for being positioned in the ascending aorta, and a receiving socket positioned within a proximal end of the prosthesis assembly. The receiving socket defines a recess for allowing flowthrough of blood into the stent frame. The receiving socket is further configured for selectively receiving a heart valve assembly for replacing a native heart of a patient or maintaining a mode of operation where the socket is empty and blood flows through the socket into the stent frame.

The invention relates to the technical field of medical data processing, and discloses a non-invasive hemodynamic assessment system for coronary artery stenosis degree, comprising an image acquisition module used for acquiring a coronary artery computed tomography angiography image of a patient; the physiological signal acquisition module is used for synchronously acquiring physiological signals of a patient, and the physiological signals comprise electrocardiosignals and non-invasive arterial blood pressure signals; and the data processing module is used for preprocessing and segmenting the coronary artery computed tomography angiography image. Electrocardiogram and non-invasive arterial blood pressure signals are collected through the sensor, risks and complications caused by invasive examination of traditional coronary artery radiography are avoided, the problem that patients unsuitable for invasive examination such as contrast agent allergy and renal insufficiency are difficult to evaluate is solved, the pain of the patients is relieved, and the acceptability of the patients is improved.

The invention discloses an infrared thermal image enhanced real-time rectal blood vessel blood flow detection method. The method comprises the following steps that S1, a thermal image of an operation area is collected through an infrared thermal imager to serve as a to-be-processed medical purpose image; s2, adopting a double-branch collaborative network architecture, adopting an improved U-Net structure for a deep denoising priori network DDPNet, introducing a detail sensing unit DAU, and separating noise and organizational structure features through residual learning; and S3, obtaining a supervision signal in the image, and processing each supervision model to obtain a processed image. The method can effectively improve the accuracy and comprehensiveness of information obtained after image processing in the operation and improve the effectiveness of information acquisition in the operation process.

The invention relates to a traditional Chinese medicine composition for treating haemorrhoids and a preparation method and application thereof.The traditional Chinese medicine composition is prepared from, by weight, 20-60 parts of sargentgloryvine stem, 15-45 parts of moutan bark, 20-40 parts of dandelion, 20-40 parts of rheum officinale, 20-40 parts of radix paeoniae rubra and 10-30 parts of lithospermum erythrorhizon. The traditional Chinese medicine composition has the effects of cooling blood and detoxifying, promoting blood circulation to remove blood stasis and relieving swelling and pain through combination of all the medicines, can remarkably relieve inflammation and pain of haemorrhoids through test verification, and has the potential of industrial production and popularization.

The invention discloses a TAVR postoperative blood flow parameter complementing method based on CT-MRI fusion, and belongs to the technical field of crossing of medical image processing and computational fluid mechanics. A CT valve frame registration technology is adopted, an invisible artificial valve leaflet three-dimensional structure is reconstructed through valve frame information in a CT image and is coupled with a dynamic heart model, a complete valve mechanical and functional simulation platform is constructed, the problem of an imaging blind area is solved, hemodynamic parameters of an inlet and an outlet of a postoperative area are further collected in combination with 4D Flow MRI, and the artificial valve leaflet three-dimensional structure is obtained. The blood flow conditions of the upstream and the downstream of the artificial valve area at each stage of contraction and relaxation of the TAVR postoperative part are comprehensively restored, the temporal-spatial resolution and the physical authenticity of the boundary condition in fluid-solid coupling simulation are greatly improved, and the more real passive response of the valve leaflet under the action of the blood flow is obtained; and a reliable basis is provided for quantitative and mechanical risk analysis of postoperative complications such as thrombosis, perivalvular leakage and valve leaflet fatigue.

A medical system may include a pump disposed along a longitudinal axis of a blood flow assist system and including an impeller disposed in a pump housing; a power lead coupled with the first end portion of the pump; and a tether coupled with a second end portion of the pump opposite the first end portion. During operation of the blood flow assist system with the pump disposed within the blood vessel, the power lead may be configured to extend from within the blood vessel within which the pump is disposed to outside the first vascular access site to couple to the control system, and the tether may be configured to extend from within a blood vessel within which the pump is disposed to an anchoring position disposed away from the second end portion.

The invention provides a heart transplantation post-operation continuous physiological monitoring and anomaly recognition method and system based on wearable equipment, and relates to the technical field of physiological monitoring. According to the method, an individualized dynamic reference interval and a multi-index correlation coefficient matrix are constructed by collecting baseline data such as electrocardio, blood pressure and blood oxygen, abnormal state detection is achieved in combination with the Mahalanobis distance of a unified feature vector and a multi-task recognition model, and then a multi-physics field digital twin model is called to simulate hemodynamic evolution. And high-confidence abnormity is judged according to a coupling rule, so that the intellectualization and response efficiency of postoperative monitoring are improved.

The invention relates to the technical field of medical monitoring and intelligent decision making, and particularly discloses an intraoperative noninvasive real-time blood flow monitoring and medication intervention analysis system. Pulse wave oscillation harmonic component characteristics and diastolic attenuation characteristic characteristics are extracted by using variational mode decomposition and a polynomial fitting algorithm; the multi-dimensional features are fused and then input into a deep learning classification model, and accurate recognition of insufficient heart pump efficiency, abnormal peripheral vascular tension and circulation capacity imbalance states is achieved; time sequence prediction and grading early warning are carried out based on the hidden Markov model and the individualized baseline safety interval, and finally a targeted medication scheme is output through the intervention strategy knowledge base.

The invention relates to the field of physiological signal detection, and discloses a blood pressure measurement system based on brachial artery cuff pressurization and finger PPG detection, which comprises a pressure control module, a PPG acquisition module and a central processing unit. The central processing unit is configured to extract a multi-dimensional PPG feature vector from the PPG signal in real time; dynamically adjusting the change mode of the cuff pressure applied by the pressure control module in a closed-loop manner based on the change of the PPG feature vector; constructing a dynamic response map based on the synchronously recorded cuff pressure and PPG feature vector; and determining a blood pressure value based on the overall analysis of the dynamic response map. Determining the blood pressure value specifically includes identifying a systematic distorted phase transition point in the atlas to determine systolic pressure. Through closed-loop adaptive excitation and global trajectory analysis, blood pressure determination is established on the basis of hemodynamic state transition, dependence on isolated event points is avoided, and measurement robustness and accuracy are improved.

The invention discloses a human body peripheral blood vessel photoacoustic three-dimensional imaging device and an imaging method thereof, and belongs to the field of blood vessel imaging. Through high resolution and functional monitoring capability of photoacoustic imaging, detailed blood vessel structure and blood flow dynamic information are provided, and early recognition and treatment effect evaluation of common lesions such as diabetic foot and peripheral artery diseases are promoted; meanwhile, a mechanical system is adopted, so that the detection front end with relatively high quality can be borne, and stable operation is realized, and a relatively good photoacoustic imaging result is obtained; the system has a highly stable accurate scanning imaging mode, and is convenient for multiple imaging modes of clinical application; through the arrangement of the imaging water tank and the lifting structure of the imaging water tank, switching of imaging modes in a limited space can be ensured, so that the device can be suitable for the layout of a portal type three-dimensional moving device. The system is expected to promote the portability of equipment, reduce the research and development cost of the equipment, be widely applied to clinical practice and community medical treatment, and improve the disease management level.

The invention discloses a blood vessel three-dimensional reconstruction method and device based on a multi-view angiography image, computer equipment and a storage medium, and relates to the field of blood vessel simulation, and the method comprises the following steps: firstly, selecting a key frame from a multi-angle angiography sequence, carrying out high-precision blood vessel tree segmentation, and determining a reference image; secondly, constructing a three-dimensional projection cone by extracting projection parameters, taking an intersection of the three-dimensional projection cone and discretizing the intersection, iteratively screening by using a reference image and other visual angle information, and precisely defining a blood vessel tree spatial domain; the three-dimensional model reconstruction method is characterized in that a spatial dispersion and traversal projection thought is introduced, so that the calculation complexity is not remarkably improved when the number of visual angles is increased, and the limitation of the number of visual angles in traditional multi-visual-angle reconstruction is broken through; the method has the advantages of high precision and high expansibility, and can meet the harsh requirements of hemodynamic simulation and other high-end clinical applications on the precision of the blood vessel model.

The invention relates to the technical field of intracranial pressure monitoring, in particular to a craniocerebral injury patient secondary brain injury early warning method based on multi-modal fusion, which comprises the following steps: acquiring intracranial pressure, cerebral blood flow, electroencephalogram signals and brain tissue oxygen partial pressure signals, carrying out denoising and normalization processing, constructing a multi-modal normalized time sequence data set, and carrying out multi-modal fusion on the basis of the multi-modal normalized time sequence data set; and inputting a linear discriminant analysis model to generate a time sequence difference vector, constructing a difference driving map based on a Bayesian dynamic network model, identifying abrupt change nodes, outputting a risk early warning section set, and carrying out trend stability analysis and reconstruction optimization. According to the method, the abnormal state recognition sensitivity is improved through normalized processing of multi-modal signals, enhancement of signal fusion capability, quantitative capture of direction change, reconstruction of spatial relationship between signals, modeling of dynamic transition probability, recognition of abrupt change nodes, combination of time difference vector change, evaluation of signal linkage trend, positioning of risk sections and extraction of parameter features; and the early warning and intervention precision is improved.

The invention discloses a perioperative period hypotension risk prediction and early warning method and system based on artificial intelligence, belongs to the crossing field of medical artificial intelligence and clinical anesthesia, and is suitable for painless gastrointestinal endoscope perioperative period management of elderly hypertensive patients. Preoperative-intraoperative full-process data is obtained through a multi-source data acquisition module, after feature engineering processing, a double-order AI architecture of a preoperative risk layering sub-model and an intraoperative dynamic prediction sub-model is input, a comprehensive risk value is output through dynamic weight fusion, and a three-level early warning mechanism and an evidence-based intervention closed loop are combined to obtain an early warning result. And hypotension pre-prediction and individualized intervention are realized. According to the method, the problems of monitoring lag, poor generalization and other pain points in the prior art are solved, accurate early warning can be carried out 5 minutes in advance, the haemodynamic management accuracy and anesthesia safety in the perioperative period are remarkably improved, and the occurrence rate of hypotension and related adverse events is reduced.

The invention relates to the technical field of medical image processing and surgical navigation, in particular to a liver segmentation, modeling and surgical simulation system based on a cascade neural network and a multi-scale reconstruction technology. The multi-scale dynamic registration module is used for carrying out coarse segmentation and fine segmentation on liver and focus areas of the medical image and is used for non-rigid registration and respiratory motion compensation of the multi-modal medical image; the physical enhancement modeling engine is used for constructing a liver vessel tree three-dimensional model containing hemodynamic characteristics; the operation navigation and risk assessment module is used for performing real-time navigation and operation path planning in the operation; and the self-adaptive computing framework provides underlying computing resource support for the system. And high-precision segmentation: through a cascade recursive network and a boundary sensitive loss function, the liver tumor segmentation Dice coefficient reaches 94-96%, which is increased by 6-12% compared with the traditional method.

The invention provides a balloon endoscopic system for intravascular direct vision examination, and relates to the technical field of medical instruments, the balloon endoscopic system comprises a catheter, a balloon capable of being filled and discharged, an endoscope lens, a light source assembly and an image transmission processing module, a cavity channel used for containing the endoscope lens and a conduction component of the light source assembly is formed in a catheter body of the catheter, and the catheter body of the catheter is internally provided with a cavity channel used for containing the endoscope lens and the conduction component of the light source assembly; the filling pipeline is used for supplying liquid to the inflatable and deflatable balloon; the inflatable and deflatable balloon is fixedly connected to the outer surface of the front end of the catheter, and the inflatable and deflatable balloon is used for bulging after being conveyed to a target position in a blood vessel. The inflatable and deflatable balloon can block blood flow and open the blood vessel wall after bulging and is matched with transparent filling liquid injected into the filling pipeline, residual blood can be further removed, a blood-free observation window is formed, interference of blood on imaging is avoided, and a foundation is laid for clearly observing the condition of the blood vessel wall. The inner wall of the balloon is coated with a nano anti-fog coating, so that the penetrability of a light source is ensured, and the fogging surface influence caused by blood residue or temperature difference can be avoided.

This invention discloses a blood purification device and medical system. The blood purification device includes: a device housing; a blood purifier; a blood tubing assembly, the blood tubing assembly including a first blood tubing connecting a human blood vessel to the inlet of the blood purifier and a second blood tubing connecting the outlet of the blood purifier to the human blood vessel; a power assembly including a blood pump for driving blood flow within the blood tubing assembly, a first replenishment pump for allowing anticoagulant solution to flow into the first blood tubing, and / or a second replenishment pump for allowing calcium solution to flow into the second blood tubing; and a blood component analysis component disposed within the device housing, the blood component analysis component being used to detect collected blood samples. This design facilitates the appropriate adjustment of anticoagulant drugs and calcium ions in the blood purification circuit.

The invention discloses an intracranial anterior artery circulation functional evaluation method and device, computer equipment and a storage medium, and relates to the field of vascular function evaluation, and the method comprises the steps: based on an intracranial angiography image and near-end pressure data, carrying out the five working processes of data input, blood vessel segmentation and segmentation, boundary condition calculation, hemodynamic simulation and functional parameter calculation; according to the method, functional parameters verified in the coronary artery field are migrated to intracranial blood vessel evaluation without additional equipment, the clinical problem that traditional morphological evaluation is not matched with functionality is solved, individualized function quantification is achieved by integrating blood vessel morphological characteristics and hemodynamic simulation, and the method is suitable for being applied to intracranial blood vessel evaluation. According to the method, an objective basis is provided for cerebrovascular disease diagnosis and treatment, the intracranial vascular disease is promoted to be converted from anatomy orientation to function orientation, the clinical decision accuracy is remarkably improved, popularization and application of functional evaluation in the field of neural intervention are accelerated, and construction of a cerebrovascular disease accurate diagnosis and treatment system is assisted.

The invention relates to determining blood pressure of a subject based on a pressure signal that has been measured by using a measurement device comprising a) a shell encasing a part of the subject, through which blood flows, b) a pressure applicator applying pressure to the shell and thereby to the encased part of the subject, and c) a pressure sensor measuring the pressure signal on the skin of the encased part of the subject. For several pressure pulses of the pressure signal a respective feature characterizing the respective pressure pulse is determined, wherein based on the respective feature a respective blood pressure determination value is determined, thereby forming a blood pressure determination curve (TPW_M-curve) that is used for determining the blood pressure. This allows to determine the blood pressure with relatively low computational efforts.

The invention discloses an application of beta-alanine in preparation of a medicine for treating pulmonary arterial hypertension. In-vivo and in-vitro pharmacological experiments prove that beta-alanine can inhibit lactic acid-mediated histone milk acylation modification and hypoxia-induced phenotypic transformation of PASMCs (Polyaspartic Sulfonate Molecules); the hemodynamics and pulmonary artery vascular remodeling of the PAH mouse are improved. The beta-alanine can inhibit phenotypic transformation of PASMCs and reverse pulmonary artery vascular remodeling which is a key pathological change in the pulmonary hypertension generation process, has huge potential in treatment of pulmonary hypertension, and has good application prospects and high clinical application value.

The invention provides a multi-mode intelligent analysis internal fistula postoperative rehabilitation nursing method and system, and belongs to the technical field of medical nursing and artificial intelligence crossing. The application aims to solve the problems of single monitoring dimension, subjective risk judgment and static homogenization of the nursing scheme in the existing internal arteriovenous fistula postoperative nursing. The method comprises the following steps: acquiring multi-modal data related to a wound state and a hemodynamic state of an internal arteriovenous fistula; processing the multi-modal data to generate standardized feature data which can be analyzed; generating a risk assessment result about the health condition of the internal arteriovenous fistula; and a preset nursing scheme is dynamically adjusted based on a risk assessment result. According to the method and the device, multi-modal data are fused and an intelligent algorithm is used for collaborative analysis, so that the accuracy and early stage of risk identification can be realized, the individuation and high efficiency of a nursing scheme are realized, and the nursing quality is improved.

The invention relates to the technical field of medical instrument volume detection, and discloses a medical instrument internal volume detection system. A continuous wave and a pulse modulation signal are simultaneously transmitted through an annular phased array microwave antenna array, three-dimensional dielectric constant distribution is reconstructed by adopting a compressed sensing algorithm, and Doppler time-frequency domain characteristics are extracted through short-time Fourier transform; and inputting the phase gradient field and Doppler velocity field features into a convolutional neural network to generate a four-dimensional space-time volume evolution model, separating a macroscopic volume trend and a microcosmic pulsation component by adopting an adaptive Kalman filtering algorithm, and predicting an abnormal hemodynamic event through a long-short-term memory network. The technical problem of real-time precise detection of the multi-dimensional volume parameters of the blood circulation medical instrument under the complex pulsating flow condition is solved, and accurate evaluation of the instantaneous volume value, the pulsation amount and the pulsating frequency spectrum and early warning of abnormal events are achieved.

The invention relates to the crossing field of computer technology and edge calculation, and discloses a blood purification equipment real-time control method based on edge calculation. According to the method, multi-modal real-time physiological parameters, historical dialysis data and a current treatment target are fused through a local edge calculation unit, an individualized body fluid dynamic response prediction model is constructed, and an ultrafiltration rate instruction is optimized and generated within a millisecond level; the system comprises a multi-mode sensor array, a historical data storage module, a task planning interface, an edge computing unit and an ultrafiltration pump controller. According to the application, the hemodynamic state is accurately maintained, the risk of hypotension is remarkably reduced, and the treatment safety and individualization level are improved.

The utility model relates to the technical field of steak processing, and discloses a beef acid-discharging, refrigerating and fresh-keeping device which comprises a refrigerating machine body, a door body is arranged on the front face of the refrigerating machine body, a collecting box is arranged at the bottom of the inner wall of the refrigerating machine body, and a fixing frame is fixedly connected to the top of the inner wall of the refrigerating machine body. A hook is arranged on the outer surface of the fixing frame, a mounting seat is fixedly connected to the bottom of the hook, and a guide assembly is arranged on the upper surface of the mounting seat, so that blood can be better collected, a clamping block is clamped into a clamping groove, and then the hook fixedly connected to the upper surface of the mounting seat is hung on the outer surface of the fixing frame; therefore, when the steak is in contact with the outer surface of the guide plate, blood of the steak can be adhered to the outer surface of the guide plate, and some blood can enter the guide groove and flow into the fixed groove along with the inclined surface, and then is in contact with a semispherical bump arranged at the end part of the guide piece; therefore, the blood flows downwards along with the guide piece and drips into the collecting box.