166 results about "Hematoma" patented technology

The invention provides an hemorrhagic brain injury intracranial pressure prediction and early warning system based on a CT image, and the system comprises a data collection module which is used for collecting the original data of a target data source of a target patient; the hybrid model comprises a 3DCNN model used for extracting hematoma spatial features of the head CT image sequence; the LSTM model is used for extracting hematoma time sequence characteristics of the physiological signals; the multi-modal fusion module is used for fusing the hematoma space features and the hematoma time sequence features and outputting hematoma fusion features; the prediction module is used for predicting an ICP sequence of the target patient in a future preset time period based on the hematoma fusion features; the self-adaptive early warning module is used for outputting a visual result based on the predicted ICP sequence in the future preset time period; and through a dynamic threshold adjustment mechanism, adjusting an early warning threshold of the target patient in combination with the case information, and triggering graded early warning in real time. Through personalized data processing and dynamic early warning, accurate, efficient and real-time patient risk management is realized.

Disclosed in the present invention are a method and system for predicting a hematoma expansion event of a stroke patient. The method comprises: collecting patient data information, and performing data preprocessing; using an XG-Boost model to calculate the SHAP average value and the contribution degrees of different types of data, and extracting a feature quantity with the highest contribution degree from each type of data; performing multivariate linear regression analysis to obtain the weight of the effect of each type of data on hematoma expansion, and weighting all the feature quantities on the basis of the weight to obtain weighted feature quantities; using an extreme learning machine to predict a hematoma expansion probability; and using a northern goshawk optimization algorithm to search predicted values for the boundary of occurrence of a hematoma expansion event, and verifying the prediction accuracy. The present invention can accurately analyze and predict the expansion risk of hematoma after hemorrhagic stroke, which is crucial to early diagnosis and timely treatment.

The invention discloses a cerebral hemorrhage prognosis analysis system fusing images and clinical data, and the system comprises the steps: carrying out the collection time point alignment of cerebral hemorrhage image data and clinical diagnosis and treatment data, and constructing a multi-modal time sequence association data set; hematoma region segmentation and surrounding structure compression analysis are carried out, and hematoma morphological features and placeholder effect features are extracted to form an image risk feature set; carrying out index fluctuation analysis and collaborative abnormal mode identification based on clinical data, and screening risk sensitive indexes with a linkage relationship to form a clinical risk factor set; consistency detection is carried out on the two types of risk features, deviation causes are traced, modal weight configuration is determined according to the consistency detection, differential fusion is executed, and a fusion prognosis feature vector is generated; two-dimensional risk layering of function prognosis and survival prognosis is carried out, the confidence coefficient is evaluated and predicted in combination with modal consistency and feature stability, a structured prognosis analysis report with a confidence level is output, and interpretable decision support is provided for prognosis evaluation of cerebral hemorrhage patients.

The invention relates to the technical field of internet big data, in particular to a cerebral hemorrhage space positioning and prognosis prediction network system based on three-dimensional point cloud. The cerebral hemorrhage space positioning system comprises an image acquisition module used for acquiring a brain CT image to be processed; the offset correction module is used for performing offset correction on the brain CT image to obtain a corrected brain CT image; the hematoma region segmentation model is used for segmenting the corrected brain CT image to obtain a hematoma region; the point cloud calculation module is used for calculating three-dimensional space coordinates of hematoma voxels in a hematoma area in a brain coordinate system based on the corrected brain CT image and taking the three-dimensional space coordinates as point cloud data of the hematoma area; and the point cloud data output module is used for performing normalization processing on the point cloud data of the hematoma area to obtain hematoma three-dimensional point cloud data representing the hematoma three-dimensional space position. According to the method, an accurate and comprehensive data basis is provided for cerebral hemorrhage prognosis prediction, and the accuracy and comprehensiveness of subsequent cerebral hemorrhage prognosis prediction are improved.

The invention relates to the technical field of medical instruments, and discloses an adjustable femoral artery automatic pressurizing device which comprises a main shell, a position adjusting assembly is mounted at the top of the main shell, a moving shell is slidably connected to the middle of the main shell, a connecting column is fixedly connected to the bottom of the moving shell, an air bag is arranged at the bottom of the connecting column, and an air outlet is formed in the middle of the air bag. A compression head is fixedly connected to the bottom of the air bag, an angle adjusting and positioning assembly is installed on the side face of the main shell, a bandage rod is arranged on the side face of the angle adjusting and positioning assembly, a composite sensing module is installed in the middle of the compression head, and an air pipe is arranged in the movable shell. One end of the air pipe penetrates through the connecting column and is fixedly connected to the air hole of the air bag. By sensing physiological signals formed by blood flow and hematoma in real time, self-adaptive closed-loop adjustment of compression pressure is realized, so that hemostasis accuracy, individualized level and safety of the automatic femoral artery pressurizing device are improved.

The invention relates to the technical field of medical instruments, in particular to a cerebral hemorrhage drainage device with a breaking and sucking function, which comprises a base, a support frame is fixedly mounted at the upper end of the base, a breaking mechanism is arranged on the back of the support frame, and a drainage assembly is arranged in the support frame. Through the arrangement of the crushing mechanism, blood clots and fragments can be effectively crushed and sucked out through the absorption assembly while drainage is conducted, so that it is guaranteed that hematoma is completely removed, the hematoma recurrence risk is reduced, and the drainage effect is improved; by means of the breaking and sucking function, blood clots and fragments are prevented from blocking the drainage tube, it is guaranteed that blood can flow out smoothly, and complications are reduced; by efficiently removing hematoma, compression and injury of brain tissue are reduced, nerve recovery is promoted, and the hospitalization time and rehabilitation cycle of a patient are shortened; blood clots and fragments are effectively removed, the condition of incomplete drainage or blockage is reduced, and the incidence rate of complications such as infection and hematoma recurrence is reduced.

The invention provides a cerebral hemorrhage hematoma enlargement prediction system and method based on deep learning, and the system comprises a data obtaining module which is used for obtaining a baseline CT image and clinical data of a patient; the image preprocessing module is used for carrying out standardization processing on the CT image; the feature extraction module is used for extracting image features from the CT image by adopting a deep convolutional neural network; the feature fusion module is used for fusing the image features, the clinical features and the radiology features; and the prediction module is used for predicting the hematoma expansion risk based on the fused features. The system captures 3D space information to the maximum extent by extracting the maximum lesion level, shows high reliability, high interpretability and clinical availability in the aspect of predicting hematoma expansion, is remarkably superior to prediction of clinicians, achieves reasonable consistency of prediction probability and actual probability on multiple data sets, and has good application prospects. The system can be used as a clinical decision support system and has potential to improve patient prognosis.

The invention relates to a cerebral hemorrhage hematoma enlargement prediction method, system and device and a medium. The method comprises the following steps: acquiring baseline NCCT and CTA images of a patient; hematoma segmentation and three-dimensional reconstruction are carried out, and a key quantitative feature surface regularity index (SRI) and a density variation coefficient (DCV) are calculated; and inputting the SRI, the DCV and the clinical variables into the prediction model, and outputting the hematoma expansion risk probability. The prediction model is subjected to variable screening and strict verification, and risk visualization is realized through a column graph. The system comprises an image processing module, a feature calculation module, a prediction analysis module and a visualization module. According to the method, SRI and DCV are innovatively introduced to accurately quantify the hematoma morphology and density characteristics, and clinical variables are combined, so that the prediction accuracy and stability are remarkably improved; the efficiency is improved through AI-assisted segmentation; and the column graph enhances the model interpretability and the clinical decision support capability.

The traction type midwifery assist device comprises an outer head sleeve and an inner head sleeve, and the outer head sleeve comprises an outer sleeve and an elastic clamping jaw; the inner head sleeve comprises a sleeve body, a traction pull rod and a covered edge. On one hand, on the basis of collaborative design of the elastic clamping jaws and the sleeve body, initial wrapping can be formed along with automatic outward expansion and inward contraction of the fetal head during midwifery, the edge of the sleeve opening is driven to be overturned and tightened inwards by means of the opposite acting force of the traction pull rod and the outer sleeve, dynamic gradual wrapping of the fetal head is achieved, wrapping traction can be achieved after the outer head sleeve is detached outwards, and the operation is convenient. The risk of fetal head slippage is reduced, the traction stability is enhanced, scalp hematoma, tissue injury and maternal soft birth canal injury possibly caused by traditional negative pressure suction are effectively avoided, and the safety of a mother and an infant is improved; and on the other hand, the matching of the claw tips and the covered edges is ingeniously utilized, so that the interference of the covered edges on the size change of the sleeve opening is reduced, and a smaller covering opening can be provided during inward turning covering so as to increase the covering force formed by the sleeve body and the fetal head.

The invention discloses a cerebral hemorrhage risk prediction method and system based on multi-modal learning, and relates to the technical field of medical detection. The cerebral hemorrhage risk prediction method and system based on multi-modal learning comprises the following steps: S1, collecting craniocerebral multi-modal data, and preprocessing the craniocerebral multi-modal data; s2, identifying a high-gray-scale suspicious region, quantifying bleeding features of the corresponding region, and marking a suspected hematoma region; s3, the cerebral hemorrhage risk degree of the suspected hematoma area is evaluated, the risk level is judged based on the evaluation result, and a hierarchical regulation and control strategy is generated; and S4, based on the cerebral hemorrhage risk assessment results of the current assessment period and the historical assessment period, performing quantitative assessment on the cerebral hemorrhage risk level fluctuation state, and dynamically updating the risk threshold. The problems that in early cerebral hemorrhage recognition in the prior art, tiny hemorrhage lesions are difficult to find, risk dynamic evaluation cannot be achieved, and therefore clinical judgment and intervention opportunities are affected are solved.

The invention provides a handheld photoacoustic multi-mode vascular puncture and tissue damage diagnosis system and device, and belongs to the technical field of photoacoustic imaging. According to the handheld multispectral photoacoustic imaging device, elastic force feedback and blood vessel real-time development are integrated, and the puncture success rate is increased by 30%; by virtue of hemoglobin / collagen double-index imaging, the stress injury can be pre-warned 72 hours in advance; the 3D hematoma volume automatically calculates an error lt; and repeated puncture and missed diagnosis are remarkably reduced. The invention provides a quantitative evaluation and real-time navigation integrated scheme for vascular puncture and tissue damage, and is safe and efficient.

The invention provides a device for assisting an Ommaya bag in extracting cerebrospinal fluid, and belongs to the technical field of medical instruments. Comprising an annular sterile positioning base and an injector, a through hole is formed in the middle of the annular sterile positioning base, a fixing cylinder concentric with the through hole is fixedly connected to the upper surface of the annular sterile positioning base, a stretching assembly is arranged on the right side of the fixing cylinder, and a tightening assembly is arranged in the fixing cylinder; elastic assemblies are arranged on the left side and the right side of the upper surface of the fixing cylinder. The operation sterile area is enlarged through the sterile adhesive layer and the transparent soft plate, the sterile adhesive layer composed of the nano-silver coating can achieve 72-hour continuous antibiosis, infection prevention and pathogen invasion risk reduction, the center position is located through concentric circle cross scales of the sterile semi-transparent film, guiding and visual positioning of the syringe needle are achieved, and the operation safety of the syringe needle is improved. The needle head can vertically penetrate into the center of a capsule cavity, and hematoma or capsule wall damage caused by puncture deviation is avoided.

The invention discloses a cerebral hemorrhage heterogeneity quantitative evaluation system based on cyclic cross-attention clustering, and relates to the field of cerebral hemorrhage evaluation, and the system comprises an image segmentation module which is used for carrying out the three-dimensional segmentation of a brain plain-scan CT image through an nnU-NetV2 model, and outputting the binary masks of a hematoma region and an edema region; the feature extraction module is used for extracting high-dimensional pixel features from the mask region and generating an initial feature embedding matrix; the cyclic cross-attention clustering module is used for dynamically updating a clustering center through a multi-scale cyclic EM cross-attention mechanism and executing clustering analysis on the feature embedding matrix; the heterogeneity scoring module is used for calculating information entropy and generating hematoma and edema heterogeneity scores; and the prognosis prediction module is used for predicting the hematoma expansion risk and the neural function outcome through a machine learning model. According to the scheme, objective quantification of cerebral hemorrhage heterogeneity can be realized, and the prediction accuracy of the hematoma expansion risk and the neural function outcome is improved.

The invention belongs to the technical field of traditional Chinese medicines, and provides an external traditional Chinese medicine composition for tendon injury, blood stasis, swelling and pain and bone impediment. The traditional Chinese medicine composition comprises the following components: prepared kusnezoff monkshood root, lycopodium clavatum, garden burnet, rheum officinale, radix clematidis, ligusticum wallichii, rhizoma zingiberis, angelica sinensis, Sinkiang lithospermum, peach kernel, fried gardenia, turmeric, radix angelicae pubescentis, asarum, notopterygium root, sappan wood, red paeony root, garden balsam stem, vinegar frankincense, vinegar corydalis tuber, vinegar myrrh, vinegar rhizoma cyperi, bran-fried fructus aurantii and golden cypress. The invention further discloses a preparation method and application of the traditional Chinese medicine composition for tendon injury, blood stasis, swelling and pain and bone impediment. The traditional Chinese medicines perform respective functions in monarch, minister, assistant and guide, the whole formula has the effects of promoting blood circulation to remove blood stasis, activating meridians to stop pain, dispelling wind and eliminating dampness, and reducing swelling and removing stasis, a synergistic treatment effect on tendon injury, blood stasis, swelling and pain and bone impediment is formed through a multi-target-point synergistic effect, the limitation that a traditional Chinese medicine with a single effect is difficult to comprehensively deal with is solved, and the effect of treating both symptoms and root causes is achieved; the traditional Chinese medicine composition has remarkable social benefits and clinical application value.

The invention discloses application of an NR1D1 protein phosphorylation site in preparation of cerebral hemorrhage treatment drugs, and belongs to the technical field of molecular biology. According to the invention, the specific phosphorylation site and phosphorylation modification level of the NR1D1 protein are determined for the first time, and the NR1D1 protein can be used as a key marker for evaluating the secondary nerve injury degree of the hemorrhagic cerebral apoplexy and developing treatment and / or alleviation of the hemorrhagic cerebral apoplexy; a specific antigen peptide and an antibody for accurately detecting the NR1D1 protein phosphorylation site are further constructed, and an efficient tool is provided for molecular evaluation of hemorrhagic stroke secondary nerve injury; meanwhile, polypeptide molecules capable of inhibiting NR1D1 protein phosphorylation are researched and developed, through the dual effects of specifically blocking the phosphorylation process and reducing protein degradation, necrosis of brain tissues around hematoma after hemorrhagic cerebral apoplexy is relieved, secondary dyskinesia is improved, and the effect of inhibiting NR1D1 protein phosphorylation is achieved. And a brand new scheme is provided for molecular evaluation and targeted intervention of hemorrhagic stroke secondary nerve injury.

A wearable monitor is configured for early detection of internal bleeding events and particularly hematomas after vascular catheterization including cardiac catheterization. The wearable monitor is placed over an access location following the vascular catheterization procedure and the wearable monitor system periodically runs diagnostic test to detect changes in the tissue around the vascular access location. An emitter device may input an emitter input into the tissue and a detector device may then measure the emitter input after it has passed through the tissue, an emitter output. A computer may receive the data from the detector device and operate a program that determines changes in the tissue and in particular, pooling of blood in the tissue. The emitters may be electrodes that input an electromagnetic input, or an ultrasound emitter that inputs ultrasound sound waves, or a Near IR emitter that emits Near IR electromagnetic radiation.

The invention discloses an application of abscisic acid in preparation of a medicine for improving secondary brain injury after cerebral hemorrhage, the abscisic acid can relieve neuroinflammation and improve neurological function recovery by repairing microglial cell lysosome functions, enhancing phagocytic ability and promoting hematoma removal, and a new medicine strategy is provided for cerebral hemorrhage treatment.

The application discloses a post-varicose vein surgery wound compression hemostasis device, which comprises a device main body for fixing on a limb, a pressure increasing module arranged on the device main body and an anti-reverse mechanism. The pressure increasing module comprises a rotating handle rotatably arranged on the device main body, a pressure push rod with a top end threadedly connected with the rotating handle and a compression pad arranged at the bottom end of the pressure push rod; the pressure push rod is slidably connected with the device main body. When the rotating handle is rotated clockwise, the pressure push rod is driven to move towards the skin side, so that the compression pad applies compression pressure on the wound. The anti-reverse mechanism is connected with the rotating handle and is used for preventing the rotating handle from being rotated counterclockwise, thereby preventing the compression pressure from being released accidentally. The device can accurately and stably maintain the compression pressure on the wound, avoids postoperative rebleeding or hematoma formation caused by pressure attenuation, and has the characteristics of convenient operation, safety and reliability.

The hemostasis compressor comprises an equipment support, the front end of the equipment support is provided with a compression mechanism used for compressing a wound, the compression mechanism comprises a movable bin, the interior of the movable bin is movably connected with a pressing plate, and the bottom of the pressing plate is fixedly connected with a first magnet; two movable rods are movably connected to the interior of the pressing plate, the two movable rods are fixedly connected through a first spring, and buckles are further movably connected to the side faces of the movable rods; by means of the device, locking can be quickly unlocked to adjust the compression force, hemostasis requirements of different patients are met, complications such as bleeding, hematoma or tissue ischemia caused by improper pressure are reduced, seamless connection of tube drawing and hemostasis is achieved, operation steps are reduced, meanwhile, delay of manual adjustment of a compressor after tube drawing in a traditional process is avoided, and the hemostasis efficiency is improved. The formation risk of subcutaneous ecchymosis and hematoma is reduced, and the hemostasis efficiency and safety are improved.

The utility model provides a sandbag used after radiofrequency ablation. The sandbag used after radiofrequency ablation comprises a sandbag body. The first fixing part is arranged on the face, close to the skin of the patient, of the sandbag body and comprises a fixing band, the middle of the fixing band is fixedly connected with the sandbag body, the two ends of the fixing band extend out of the sandbag body, the two ends of the fixing band are each provided with a connecting piece, and the face, close to the skin of the patient, of each connecting piece is provided with a sterile patch. And a dustproof film is arranged on the adhesive surface of the sterile patch. According to the application, the possibility of sandbag displacement can be reduced, the risk of local hematoma is reduced, and the workload of nurses is reduced.

This invention relates to the application of LAG3 agonists in the preparation of drugs for hematoma clearance after intracerebral hemorrhage (ICH) and the application of LAG3 in regulating hematoma clearance after ICH, belonging to the field of biomedical technology. This invention utilizes a mouse ICH model to first inject a LAG3 neutralizing antibody (C9B7W) via orthotopic injection, clarifying that LAG3 can regulate the phagocytic function of microglia after ICH and participate in hematoma clearance, revealing its potential molecular target for enhancing microglia phagocytic function and promoting hematoma clearance. Furthermore, overexpression of LAG3 after ICH is demonstrated. Lag3 The study confirmed that enhanced phagocytic function of microglia accelerated hematoma clearance, demonstrating that LAG3 agonists can be used as drugs for hematoma clearance after intracerebral hemorrhage. The experimental results of this invention make it possible to apply LAG3 to the prognostic treatment of ICH, thereby advancing basic and clinical research on endogenous hematoma clearance after ICH.

The invention belongs to the technical field of biological medicines, and particularly relates to application of Chi3l1 as a target spot in preparation of a medicine for preventing or treating secondary brain injury after cerebral hemorrhage. By integrating space transcriptomics and a mononuclear RNA sequencing technology, the spatial heterogeneity and cell type specificity of gene expression in ICH afterbrain tissue are deeply analyzed, a group of astrocyte subgroups AST1 with neuritis existing around hematoma in the acute stage after cerebral hemorrhage is identified, Chi3l1 is determined as a key inflammatory effect factor of the AST1 subgroups, and the AST1 subgroups with neuritis are used as the key inflammatory effect factor of the AST1 subgroups. And the influence of the gene on the phenotypic transformation of astrocytes and microglial cells is verified. The discovery provides an important theoretical basis for developing a treatment strategy of targeting Chi3l1, and is expected to improve neuroinflammatory response and neurological dysfunction after ICH by regulating and controlling expression of the AST1 subgroup and Chi3l1, and opens up a new direction for treatment of ICH.

The invention relates to the technical field of medical apparatus and instruments, in particular to multifunctional forearm hematoma compression equipment for cardiology department patients after coronary angiography, which comprises a base, a first supporting seat, a second supporting seat and the like, and the base is provided with the first supporting seat and the second supporting seat which are respectively used for supporting a forearm and an upper arm; the first supporting base and the second supporting base are each provided with an arc-shaped bearing plate with the concave middle, the ends of the bearing plates are each provided with an elastic fixing band, and the ends of the fixing bands are detachably connected with the bearing plates through buckles. The forearm of a patient is pressed by arranging the height-adjustable sleeve with the elastic piece, the effect of conveniently adjusting the pressing force and improving the experience of the patient is achieved, meanwhile, by arranging the buckle structure at the end of the fixing band, the fixing band can be conveniently tightened and loosened, then an ice bag can be conveniently used for cold compress, and the use effect is good. The forearm pressure of the patient is reduced, and hematoma enlargement is avoided.

The application discloses a signal processing system based on deep learning and a sensitivity enhancement method thereof, and is applied to the field of intelligent medical treatment.The application comprises the following steps: acquiring a needle tip original signal obtained through continuous monitoring in a puncture process; performing short-time Fourier transform on the basis of the original signal to obtain a channel signal short-time Fourier transform result; calculating a phase angle of the channel signal short-time Fourier transform result and then inputting the phase angle into an exponential function to obtain a channel signal feature; and inputting the channel signal feature into an element-by-element activation function to calculate a deep feature vector.The application not only shortens the operation time, but also directly reduces the risks of blood vessel injury, local hematoma and infection caused by repeated puncture, alleviates the pain of patients, and is especially beneficial to high-risk patients such as coagulation dysfunction.

This invention provides the application of fractalkine in the preparation of drugs for the prevention or treatment of white matter injury repair. In animal models of cerebral hemorrhage, it was found that the mass effect of hematoma in the basal ganglia and the neurotoxic products generated by its lysis lead to damage to surrounding white matter fiber bundles. Fractalkine plays an important role in regulating microglial activation after cerebral hemorrhage to promote white matter repair.

The invention provides a compound composition for treating cerebral hemorrhage, a preparation method, application and a medicine, and relates to the technical field of traditional Chinese medicines. The compound composition is prepared from the following raw materials in parts by weight: 10 to 30 parts of cortex moutan, 2 to 10 parts of radix et rhizoma rhei, 5 to 15 parts of herba lycopi, 10 to 21 parts of radix puerariae and 5 to 15 parts of loofah sponge. Mixing the moutan bark, the rheum officinale, the herba lycopi, the radix puerariae and the loofah sponge, and adding water for soaking; decocting twice, and combining filtrates to obtain the compound composition. The five medicines of moutan bark, rheum officinale, herba lycopi, radix puerariae and loofah sponge are adopted and are scientifically matched, so that the effects of remarkably improving brain microcirculation and promoting hematoma absorption are achieved; the hematoma volume can be obviously reduced, the inflammatory response is relieved, the brain tissue damage is relieved, and the treatment effective rate of cerebral hemorrhage is improved.

The invention relates to a microcatheter. The microcatheter comprises a catheter body assembly, the catheter body assembly comprises a first catheter body and a second catheter body which are parallel to each other, the first catheter body is used for a guide wire to pass through, a Tip outlet is formed in the far end of the first catheter body, a guide wire outlet for the guide wire to extend out is formed in the position, close to the far end, of the first catheter body, and a balloon is arranged around the first catheter body and the second catheter body. The tube body assembly is provided with an air passage communicated with the balloon; the operation part is provided with a first catheter seat and a second catheter seat which are independent from each other, the first catheter seat is connected with the first catheter body, the second catheter seat is connected with the second catheter body, the first catheter seat is provided with an air channel connector, and the second catheter seat is provided with a suction connector; a suction port communicated with the second tube body is formed in the far end of the second tube body; wherein the suction port is located in one side of the far end of the balloon, the guide wire outlet is formed in the axial direction of the tube body assembly within the range where the balloon is located, and the guide wire outlet is formed in the fixing part. According to the scheme, the defect that in the prior art, large hematoma under the intima affects accurate control of the guide wire can be overcome, and the operation efficiency and the success rate can be improved. Meanwhile, the position of the far end of the catheter is stable and controllable, and more accurate puncture can be achieved.

The brachial artery compressor comprises a big arm supporting plate and a small arm supporting plate, and two connecting mechanisms are arranged between the big arm supporting plate and the small arm supporting plate. According to the brachial artery compressor provided by the invention, when the elbow of a patient needs to be bent to further relieve the condition of unsmooth blood flow or hematoma of the patient, firstly, movable columns on two second connecting plates are pressed to the elbow joint position of the patient; then the pulling plates rotate relative to the second connecting plates under the repulsive force effect of magnets on the pulling plates and the second connecting plates, the medical staff can quickly drive the corresponding sliding rods to leave the rotating frame by pulling the two unfolded pulling plates, and then the rotating frame rotates within a certain range in the fixing shell; the forearm supporting plate rotates within a certain range relative to the big arm supporting plate, the elbow joint of a patient can be moved within a small range as soon as possible through convenient operation, and therefore the situation of unsmooth blood flow or hematoma is rapidly relieved, and the practicability of the device is improved.

The invention belongs to the technical field of medical devices, and discloses an intelligent thyroid postoperation compression hemostasis device which comprises a pressure acquisition module, a main control module, a compression module, a fixing module, a pressure adjusting module, a monitoring module, a sterilization module and a display module. By means of reasonable design and accurate pressure adjustment, the compression hemostasis device can enable small blood vessels of a surgical wound to be closed rapidly, postoperative bleeding is effectively reduced, the risk of hematoma formation is reduced, and wound healing is promoted. Due to the application of the pressure adjusting module, the medical staff can accurately control the compression pressure according to the specific condition of the patient, the adverse effect caused by too large or too small pressure is avoided, and the hemostasis effect and the safety of the patient are improved. The reliable fixing module ensures the stability of the compression hemostasis device in the moving process of the patient, the continuity of the compression hemostasis effect is ensured, and complications caused by device displacement are reduced.

This invention relates to a deep learning-based system and method for predicting hematoma expansion in spontaneous intracerebral hemorrhage. The system includes a data acquisition module for acquiring the patient's baseline head CT image data, corresponding clinical information, and blood index data; a quantization feature calculation module for performing three-dimensional hematoma segmentation on the CT image data to obtain a three-dimensional hematoma mask; a multi-dimensional feature extraction module, including a three-dimensional morphological feature extraction sub-network and a temporal feature extraction sub-network; a feature fusion module for acquiring high-dimensional features; and a risk prediction module for outputting the risk probability of hematoma expansion based on the high-dimensional features and generating a corresponding visualized risk factor weight map. This system deeply integrates data-driven three-dimensional morphological depth features and temporal features with knowledge-driven surface regularity index and density variation coefficient quantization indicators, improving feature mining capabilities while ensuring sensitivity to key pathological morphologies, thus enhancing the robustness and accuracy of prediction.