345 results about "Postoperative recovery" patented technology

The invention relates to an orthopedic postoperative drainage liquid infection risk identification method. Drainage liquid is regarded as system output jointly driven by postoperative local immune regulation and wound recovery; capturing a nonlinear time sequence curve; first-order derived trend modeling is carried out; abrupt change after the change rate is stable is analyzed; establishing a postoperative recovery normal path framework, and forming a standard recovery trend library by using drainage fluid dynamic parameters of non-infected cases; comparing the Euclidean offset degree and directional change between the drainage parameter behavior vector of the current patient and the standard trajectory; the change is converted into a visual recovery offset map, and infection prediction data is measured from a multi-day trend angle; constructing and identifying local abnormal signal aggregation; forming a framework of infection event transition to obtain clinical infection nodes of qualitative change caused by quantitative change; according to the method, early-stage accurate recognition can be realized, the intervention opportunity can be obviously advanced, single threshold misjudgment is avoided, the recognition accuracy and specificity are improved, the model adaptability is improved, and the recognition interpretability is enhanced.

The invention relates to the technical field of medical instruments, and discloses an angle-adjustable artificial hip joint prosthesis structure which comprises a thighbone connecting assembly, an acetabulum connecting assembly and a movable part movably connected between the thighbone connecting assembly and the acetabulum connecting assembly. The thighbone connecting assembly comprises a first connecting unit fixedly connected with the movable part, a thighbone stem detachably connected to the lower end of the first connecting unit, and a connecting screw fixedly connected to the upper end of the thighbone stem and in threaded connection with the first connecting unit. The acetabulum connecting assembly comprises a second connecting unit fixedly connected with the movable part and an acetabulum fixedly connected to the second connecting unit. Stable rotating connection is achieved through the double-shaft moving part, and a traditional easily-abraded spherical surface structure is replaced; the locking assembly is matched to realize personalized angle adjustment and locking; the femoral stem can be detached and replaced, and adaptability is improved; the surface composite coating promotes osseointegration and improves biocompatibility, the overall structure stability is high, adaptability is high, and postoperative recovery is fast.

The invention discloses an integrated management system and method for postoperative care of orthopedic patients, and relates to the technical field of medical treatment. Comprising a bone mineral density dynamic monitoring value, six-dimensional mechanical parameters of a joint movement track, emotion spectrum characteristics in voice interaction, microenvironment temperature and humidity changes collected by wearable equipment and skin surface pressure distribution; inputting the recovery data into a multi-modal decision-making model based on orthopedic biomechanics improvement, and generating a nursing scheme including a skeleton stress safety interval, a virtual rehabilitation scene dynamic parameter and an interdisciplinary intervention priority; the scheme parameters are dynamically optimized through a layered reinforcement learning framework special for the orthopedics department, and the deformation logic of the 3D printing brace and the correction strategy of the nursing robot are synchronously controlled; based on the postoperative complication space-time prediction map, a multidisciplinary collaborative response instruction strictly matched with the rehabilitation stage of the patient is triggered.

Disclosed is an adjustable chair for use during post-surgical recovery, including a seat with an opening adapted to reduce or eliminate pressure on the buttocks and hips when a user is seated.

The invention discloses an anorectal postoperative rehabilitation intelligent supervision method and system based on multiple modes, and belongs to the technical field of intelligent supervision. A temperature, humidity, air quality and other multi-mode sensor group is arranged in each anorectal postoperative rehabilitation management inpatient area, the body temperature, heart rate and wound surface images of a patient are synchronously collected, and the wound surface area and seepage color are extracted through image processing; the method comprises the following steps: by taking a time node as a unit, adding a time label to an environment and patient basic data set, constructing a multi-modal comprehensive data set in a unified format, calculating an environment comprehensive index and a physiological comprehensive index, fusing the environment comprehensive index and the physiological comprehensive index to calculate a postoperative rehabilitation risk value, setting a threshold interval to generate low, medium and high three-level risk labels, and the patient risk label set is pushed to the doctor end in real time, a dynamic supervision system is constructed, the anomaly recognition rate and the clinical response speed are improved, the complication occurrence rate is reduced, the rehabilitation period is shortened, and reliable data support is provided for nursing quality improvement and evidence-based medical research.

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

The invention relates to the technical field of intelligent medical treatment, in particular to a urinary surgery postoperative risk layering intelligent nursing management system which comprises the steps of preprocessing dynamic sign flow data of a patient to obtain regular sign time sequence data; and separating a core vital sign track, a wound exudation quantitative sequence and an autonomous perception discomfort record through modal analysis. The feature calculation module compares the vital sign trajectory with a standard recovery trajectory library to generate a sign bias spectrum, analyzes the exudation sequence to obtain a wound humidity distribution vector, and calculates a time attenuation factor of the pain event according to the discomfort record. And the space construction and layering module combines the features to construct a multi-dimensional risk base space, and identifies boundary coordinates of high-risk, medium-risk and low-risk risk clusters through clustering. And the strategy generation module divides risk levels and allocates corresponding monitoring and intervention measures according to the risk levels. According to the system, dynamic and multi-dimensional quantitative evaluation of the postoperative recovery state and objective automatic layering of risks are achieved.

The invention relates to an AI image navigation method, device and equipment for prostatic hyperplasia minimally invasive surgery and a medium thereof. The method comprises the following steps: acquiring a prostate three-dimensional image and an intraoperative real-time image sequence, and fusing the three-dimensional image after preliminary filtering to obtain an optimized and enhanced image; based on the enhanced image and the preoperative three-dimensional image, a three-dimensional offset vector is obtained through a multi-modal registration algorithm combined with an anatomical structure reference, and optimized prostate three-dimensional attitude data is generated in combination with anatomical constraints; combining the attitude data and the three-dimensional image, determining boundary area distribution characteristics, calculating a risk assessment value, mapping a risk level, and generating a path correction instruction to obtain an instrument navigation path if the risk level exceeds a threshold value; and based on the navigation path, constructing a clinical recovery model in combination with the anatomical structure, generating postoperative recovery index simulation data, and performing adjustment and verification until preset requirements are met to obtain a final operation execution scheme. According to the method, precision and individuation of surgical navigation are achieved, and comprehensive technical support is provided for precise implementation of minimally invasive surgery.

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

The plugging drainage device comprises an outer sleeve, a flushing pipe, an inner suction pipe and an umbrella-shaped plugging mechanism, a plurality of first through holes are formed in the front end of the outer sleeve, the inner suction pipe is arranged in the outer sleeve, a plurality of second through holes are formed in the front end of the inner suction pipe, and the umbrella-shaped plugging mechanism is arranged in the inner suction pipe. The umbrella-shaped plugging mechanism is arranged at the front end of the outer sleeve and can be retracted into the outer sleeve. The device is provided with the plugging mechanism, the fistula can be plugged during flushing, intestinal juice loss is effectively avoided, postoperative recovery of a patient is facilitated, the umbrella-shaped structure is adopted for plugging, compared with bag plugging, the umbrella fabric of the umbrella-shaped structure can be tightly attached to the wound surface, obstruction is effectively avoided, and the application safety of the device is further improved.

The utility model provides an integrated stent-type artificial blood vessel which comprises an artificial blood vessel part comprising an artificial blood vessel main branch used for being arranged corresponding to an ascending aorta of a human body; the covered stent comprises a covered stent trunk and a left subclavian artery branch arranged beside the covered stent trunk and communicated with the covered stent trunk; the bendable connecting tube section is arranged between the artificial blood vessel part and the covered stent, the bendable connecting tube section comprises a main tube section and a side short tubular joint which is arranged on the side of the main tube section and communicated with the main tube section, and in the main blood flow direction of the artificial blood vessel, the near end of the main tube section is connected with the main branch of the artificial blood vessel; the far end of the main pipe section is connected with the near end of the artificial blood vessel main branch, and the axial height of the side short pipe-shaped connector is smaller than that of the left subclavian artery branch. The number of branch arteries needing to be dissociated in an operation is reduced, then dissociation anastomosis time is saved, circulation stopping time is shortened, protection on brain tissue is enhanced, and postoperative rehabilitation of a patient is facilitated.

The invention relates to the technical field of sports medicine auxiliary diagnosis, in particular to a rotator cuff tearing recovery evaluation method and system. By combining multiple groups of indexes and image group feature data, the rotator cuff tearing recovery process can be effectively evaluated, score data reflecting the current rotator cuff repair postoperative development state can be obtained, and the postoperative recovery degree and potential risks are more visually determined through the score data. Therefore, automatic evaluation and prediction of the repair process are realized.

The present application relates to the technical field of clinical nursing, in particular to a clinical nursing system for interventional surgery, in the present application, through the combination of preoperative medical history, intraoperative real-time physiological data and operation type, depth neural network analysis can accurately identify and predict potential complications, and the nursing plan can be adjusted according to the individual differences of patients, the nursing plan can be adjusted according to the individual differences of patients, the depth neural network can process complex physiological data and identify key physiological data, the long short-term memory network can dynamically adjust the scheme in the nursing process, the change trend of intraoperative data is deeply mined, the physiological index fluctuation is tracked, the abnormality is identified in time and the potential risk is predicted, the nursing decision can be updated synchronously with the physiological state of the patient, the working efficiency of the nursing staff is optimized, and the postoperative recovery effect and comfort of the patient are improved.

The invention discloses a pair of binocular visual function training glasses used after strabismus operation, and relates to the technical field of visual rehabilitation training. The interpupillary distance adjusting mechanism is mounted on the upper side of the inner wall of the glasses frame; the two angle adjusting mechanisms are mounted on the two sides of the bottom end of the interpupillary distance adjusting mechanism respectively; the angle adjusting mechanism comprises an adjusting frame, a pitch angle driving assembly, a rotating frame, a lens cone and a miniature display screen. The angle and the position of the visual training pattern displayed by the micro display screen can be dynamically adjusted according to the specific strabismus type and the postoperative recovery condition of a patient, so that the capacity of coordinating the two eyes of the brain visual center is actively exercised and awakened, recovery of the visual functions of the two eyes is promoted, and the recovery effect is improved. By means of the design, the defect of a fixed parameter training lens in the aspect of adaptability is overcome, the binocular cooperation function of the visual center is actively activated through personalized parameter adjustment, and the postoperative binocular fusion capacity and the recovery efficiency of stereoscopic vision are remarkably improved.

The invention relates to the technical field of medical data processing, in particular to a multi-feature recognition based postoperative anesthesia patient state quantitative evaluation method. According to the method, the anesthesia postoperative state is divided into a deep anesthesia stage, a superficial consciousness recovery stage and a cognitive recovery stage based on clinical observation. In the deep anesthesia stage, physiological feature data are collected at high frequency, and a physical sign health index is obtained by calculating the standardized deviation between the physiological feature data and a normal reference value; in the shallow consciousness recovery stage, physiological feature data and unconsciousness behavior data are collected, a weighted model is constructed in combination with the physical sign health index, and an unconsciousness behavior response index is obtained; in the cognitive recovery stage, physiological feature data and subjective feature data are collected, and short-term trend prediction is performed on a cognitive recovery index based on a grey prediction model. Furthermore, multi-source feature data of the three stages are fused to construct a dynamic trajectory prediction model, the postoperative recovery trend and state change of the patient are comprehensively analyzed, and quantitative evaluation of the postoperative delirium risk is achieved.

The invention discloses an intelligent monitoring method and system for postoperative recovery of an orthopedic patient. The method comprises the following steps: acquiring personal information data and postoperative recovery record data of the orthopedic postoperative patient; performing first processing and second processing on the postoperative rehabilitation record data to generate multi-modal rehabilitation data; extracting the multi-mode rehabilitation data, inputting the multi-mode rehabilitation data into an LSTM orthopedic recovery network, and performing model training on the LSTM orthopedic recovery network; using the LSTM orthopedic recovery network to predict the extracted multi-modal rehabilitation data, and generating a prediction result; according to the method, postoperative multi-dimensional data of the orthopedic patient is collected, the richness of the data and the accuracy of subsequent prediction are improved, then the rehabilitation stage of the patient is predicted by adopting the model, and a phased diagnosis report can be generated for the patient.

The invention discloses a gynecological general anesthesia postoperative complication prediction modeling method based on pathological data analysis, and relates to the technical field of postoperative complication prediction, and the method comprises the following steps: collecting preoperative, intraoperative and postoperative multi-dimensional pathological and clinical data of gynecological general anesthesia; establishing a space-time incidence matrix of anxiety psychology, intraoperative pathology and complications; and constructing a gynecological general anesthesia postoperative complication prediction model based on a multi-modal deep learning prediction architecture based on the space-time incidence matrix. Through combination of multi-dimensional data fusion, dynamic correlation analysis and deep learning, transformation from an empirical decision to a data-driven decision is realized. The time-space incidence matrix provides standardized risk assessment logic for doctors; the prediction capability of the model on rare complications fills the prediction blank in a small sample scene. Finally, through real-time risk early warning and individualized intervention suggestions, the safety of the gynecological general anesthesia operation is remarkably improved, the postoperative recovery time of a patient is shortened, and the method has important clinical transformation value.

The invention provides a method and a system for predicting early gastric cancer prognosis by a circulating marker, and relates to the technical field of auxiliary diagnosis. The method comprises the following steps: performing multi-omics detection on a blood sample based on a preset sampling time sequence to obtain a multi-dimensional time sequence characteristic data set containing three groups of heterogeneous data of circulating tumor DNA, exosomes and protein markers; calculating a change slope and a fluctuation variance of the heterogeneous data in adjacent time sequence intervals, constructing a dynamic variation feature matrix in combination with a standard attenuation weighting factor, and deeply mining spatial cross-correlation and sequence dependence features of the matrix to generate a multi-modal fusion feature fingerprint; and performing regression operation on the feature fingerprints by using an integrated learning stack model to obtain a dynamic prognosis risk score, and further retrieving a risk hierarchical mapping table to generate a prognosis evaluation result containing a survival curve. According to the method, multi-modal heterogeneous data can be effectively fused, the biological dynamic characteristics in the tumor postoperative recovery phase are captured, and the accuracy and timeliness of early gastric cancer prognosis prediction are remarkably improved.

The invention is suitable for the technical field of urinary surgery, and particularly relates to a bladder pressure control method and system and transurethral surgery operation equipment. Wherein the bladder environment information comprises a bladder environment model and blood vessel distribution information; the bladder pressure is monitored in real time; wherein the bladder pressure reflects the pressure in the bladder in the operation process; obtaining a perfusion speed and a discharge speed based on the bladder pressure; when a pre-operation instruction is received, the perfusion adjustment speed and the discharge adjustment speed are obtained based on the pre-operation instruction and the bladder environment information; wherein the pre-operation instruction is an instruction which is sent by a doctor and is used for controlling a cutting instrument to cut a tumor or a basal wound surface. According to the bladder pressure control method and system and the transurethral surgery operation equipment provided by the embodiment of the invention, the problem that pressure rise in the bladder causes adverse effects on the safety of a patient and postoperative recovery can be solved.

The invention discloses a 3D printing bone grafting window-free porous tantalum metal interbody fusion cage which comprises a fusion cage body, the fusion cage body is integrally formed by machining medical-grade tantalum metal, and a clamping hole is formed in the front side of the fusion cage body and used for being connected with an operation instrument; the two groups of porous net racks are respectively fixed on the upper surface and the lower surface of the fusion cage body, the outer side surface of each porous net rack is a contact interface, and each contact interface is of an arc-shaped structure; bayonets are symmetrically formed in the inner wall of the front side of the fusion cage body, the clamping hole is formed between the bayonets, and the bayonets are used for limiting operation instruments. The porous tantalum material with high biological activity and high porosity is adopted, reliable spinal fusion can be achieved on the premise that bone grafting is not needed, the problems of bone taking trauma and donor region complications related to bone grafting and immunoreaction caused by allogeneic bone grafting are effectively solved, and therefore the occurrence risk of postoperative complications is reduced, and the bone grafting success rate is increased. The postoperative recovery process of the patient is improved.

The invention discloses a digital management system for the health state of a patient after an anorectal operation, and relates to the technical field of digital management of the health state after the operation. Comprising a data acquisition and processing module which is used for calling an anorectal postoperative clinical path rule engine based on real-time symptom data input by a patient and the number of postoperative days, and dynamically generating and pushing a corresponding structured interactive data acquisition sequence; and the feature extraction module is used for carrying out real-time feature extraction on a postoperative recovery related image provided by a patient through a preset image analysis model at a patient terminal side so as to generate a multi-modal structured data set containing time sequence physiological indexes and image feature vectors. According to the method, clinical priori knowledge is fused through the multi-modal neural network, a compound and atypical early complication mode is deeply recognized from time sequence physiological indexes and image features, the early discovery rate of complication is increased, and the false alarm rate caused by conventional recovery variation is reduced through explainable risk contribution factor output.

The invention relates to the technical field of medical temperature control equipment, and particularly discloses a temperature control method and system for a medical temperature controller, and the method comprises the steps: constructing a target temperature sequence, and setting a temperature change rate threshold value; the actual temperature response rate and acceleration are calculated through a three-point center difference method, and whether the temperature is in a critical steady state or not is judged; predicting the temperature rise rate after polarity overturning; the method comprises the steps of firstly executing current slow transition, then sending a semiconductor polarity overturning instruction, and finally entering a PID steady-state temperature control mode. Compared with the prior art that the comfort level of a patient is affected by temperature kick easily caused by direct polarity overturning, and particularly, the temperature control continuity cannot be guaranteed in temperature control sensitive scenes such as postoperative rehabilitation and low-temperature anesthesia, the method has the advantages that a temperature response double-index judgment mechanism and a slow change control path are jointly introduced; and the first-order continuity of a temperature curve in the electrode switching process is realized, so that the problem of sudden temperature change is avoided, and the temperature control stability is improved.

The invention relates to the technical field of medical instruments, in particular to a tanning intelligent electronic chest strap used after a cardiothoracic surgery based on artificial intelligence, and a method comprises the following steps: based on a tanning intelligent electronic material, a sensor is embedded in the chest strap, and a sensor array detects biological data such as electrocardio, heartbeat, respiration and body temperature of a patient in real time; the embedded sensor array collects the biological signals in real time, and transmits the signals of the sensor sequence to the AI intelligent analysis platform through the Bluetooth device. The intelligent chest support has the advantages of high quality, comprehensive monitoring and intelligent adjustment, the tanning electronic material, namely the intelligent material with high flexibility, high air permeability and biodegradation resistance, is adopted, the comfort and safety of long-time wearing are ensured, the material has the self-adaptive adjustment characteristic, dynamic adjustment can be performed according to the postoperative recovery condition of a patient, the optimal chest support is ensured, and the intelligent chest support is suitable for popularization and application. The wearing comfort is improved, skin allergy and compression injury are reduced, the biocompatibility is enhanced, and the intelligent monitoring device is suitable for being worn after long-term postoperative rehabilitation and intelligently monitoring various vital sign changes after the operation.

The invention discloses an electric turbine anaesthesia machine with an automatic air supply function of an air storage bag and a method, and the anaesthesia machine comprises a turbine which is used as an active inspiration air source; a detachable air storage bag; an air supply one-way valve; the breathing circuit is connected between the turbine outlet and the patient end and comprises an inspiration branch provided with a flow diaphragm, an expiration branch provided with an expiration EV valve and an expiration flow diaphragm, and a patient breathing circuit tank assembly containing the air storage bag and the soda lime tank; a plurality of sensors; the control unit is electrically connected with and controls the turbine and the expiration EV valve, receives signals of the sensor and is used for achieving different breathing ventilation modes. According to the anesthesia machine and method, turbine driving is adopted, the tidal volume adjusting range is wide, and physical limitation of a folding bag is avoided; the air storage bag is externally arranged and replaceable, so that cleaning and maintenance are facilitated; a one-way valve automatic gas supply mechanism ensures continuous and stable gas supply; the device supports various breathing modes, and is suitable for various scenes such as anesthesia maintenance, postoperative awakening, oxygen therapy and the like.

The application discloses a monitoring and regulation system and method for an anesthesia maintenance period, and the system comprises: a database for storing vital sign data and drug injection data of the whole process of the anesthesia maintenance period; and an anesthesia auxiliary platform configured with a monitoring and regulation model, which is used for intelligent regulation of an anesthesia cycle in the anesthesia maintenance period and provision of an anesthesia maintenance strategy. The application performs real-time monitoring on basic life functions of a human body in the anesthesia maintenance period, combines an anesthesia drug artificial intelligence intelligent regulation model, intelligently evaluates anesthesia risks, and intelligently regulates the dosage of anesthesia drugs, which is beneficial to control of anesthesia quality, can achieve optimal anesthesia effect by using the least anesthesia drugs, and shortens the postoperative recovery time.

The application relates to a blood vessel anastomosis device, which comprises a first support and a connecting piece. The first support is provided with a first opening penetrating the inner and outer walls of the first support, and the first opening is used for being opposite to a first fistula position on a first blood vessel. The connecting piece comprises a pipe part and a first clamping part connected to one end of the pipe part. The connecting piece is provided with a blood flow channel penetrating the pipe part and the first clamping part along the axial direction of the pipe part. The pipe part is arranged in the first opening, and the first clamping part is arranged on the inner wall side of the first support and matched with the inner wall of the first support, so as to seal and clamp the blood vessel wall around the first fistula on the first blood vessel. The blood vessel anastomosis device saves the operation time, improves the operation efficiency, and improves the operation safety and postoperative recovery effect.

The utility model provides a surgical interventional operation instrument, which relates to the field of medical instruments, and comprises an interventional component, a sheathing canal, a handle, a flexible joint linkage assembly and a locking assembly, and the flexible joint linkage assembly comprises a control joint assembly, an execution joint assembly and at least two control lines; the execution joint assembly is connected between the far end of the sheathing canal and the near end of the intervention component; the locking assembly comprises an inner ball body and an outer ball sleeve which is movably sleeved outside the inner ball body so as to be in spherical hinge connection with the inner ball body, and the inner ball body is fixedly connected with the handle; under the action of external force, the outer ball sleeve can abut against and lock the inner ball body, so that the inner ball body and the outer ball sleeve jointly lock and control the motion posture of the joint assembly. The utility model can at least alleviate the technical problems in the prior art that the straight sheathing canal of a surgical interventional operating instrument (such as an electrosurgical operating instrument) is inconvenient for an operator to operate, complicated in operation and long in operation time, the trauma of a patient during the operation is large, and the postoperative recovery of the patient is not facilitated.

The utility model provides a kind of for the hemostatic pad of pressing tongue base mucosa, belong to medical instrument technical field, comprising: hemostatic pad main body, with patient sublingual is conformed to;Compression component, convex is formed on hemostatic pad main body, and compression component corresponds to the tongue mucosa area of patient sublingual tongue taking;Fixed component, set up in the both sides of hemostatic pad main body, fixed component can be operatively fixed tongue from the both sides of patient tongue.It is beneficial to effect: through with patient sublingual is conformed to hemostatic pad main body and the compression component that convex is formed on it, can aim at the tongue mucosa area of patient sublingual taking, so that it better conforms to sublingual physiological camber, enhance patient comfort, can better carry out compression to bleeding site, improve compression hemostatic effect, reduce the possibility of secondary infection, be favorable to the postoperative recovery of patient.

The magnetic suspension bracket used after hip replacement comprises an upper structural component, a lower supporting structural component and a supporting body, and the supporting body is placed on the upper structural component. The upper structural component, the supporting body and the lower structural component are combined to form a physical distance, so that the abduction degree of the affected leg is kept, and dislocation of the hip joint caused by adduction of the affected leg is avoided. Magnetic materials are placed on the upper structural component and the lower structural component respectively, the upper structural component and the lower structural component are installed oppositely through homopolar magnetism, suspension force is generated through repulsion of the homopolar magnetism, the two structural components freely rotate in the magnetic suspension state, and the lower limbs of a patient can be placed in a relatively free and relaxed body position when the patient sleeps or has a rest in the side-lying position. The lower structural component is of a hollow structure, and when a user lies on the side, the legs do not bear the gravity of the upper affected legs to affect blood circulation. The magnetic suspension principle is ingeniously utilized, the degree of freedom of movement of the two legs and the sleeping habit of a patient are met to the maximum degree while it is guaranteed that the affected leg keeps a certain abduction degree, experience is improved, and postoperative recovery is facilitated.

The present invention discloses a sternal spreader for preventing rib fractures in cardiac surgery, comprising a first spreader arm, a guide plate, a second spreader arm, a spreader plate, a pressure gauge, a brake component and a controller, wherein the first spreader arm is fixed to one end of the guide plate; the second spreader arm is arranged on the guide plate and can move along the guide plate; a guide groove is provided on the opposite side of the first spreader arm and the second spreader arm, and a spreader plate is inserted into each guide groove, and the spreader plate can move relative to the length and height direction of the guide groove; a pressure gauge is slidably provided on the first spreader arm and the second spreader arm, and the detection end of the pressure gauge can abut against the corresponding spreader plate; the brake component is provided on the second spreader arm. In this way, the sternal spreader pressure can be detected and braked when the pressure is too high, thereby avoiding the occurrence of secondary injuries such as rib fractures caused by excessive spreader pressure, thereby reducing the patient's discomfort during postoperative recovery.