73 results about "Perioperative" patented technology

The invention relates to the field of medical data analysis, in particular to an interventional therapy patient perioperative period pain data analysis method and system. An interventional therapy patient perioperative period pain data analysis system comprises a data acquisition module, a weight acquisition module, a pain prediction module and a pain monitoring module. According to the method, a standardized multi-source data coding system is established, pre-operative static characteristics and intra-operative dynamic time sequence signals are subjected to nonlinear weight calculation based on mutual information coefficients, complex threshold correlation and interaction effects among parameters are captured, and then a parallel architecture of an LSTM network and a static weighting layer is adopted; deep correlation information of a time sequence dependence mode generated by intraoperative operation and basic background parameters is extracted, the recognition ability of the model for high-risk patients is improved, and high-precision prediction of the pain intensity and type in the perioperative period is achieved.

Systems, devices and methods are disclosed for the treatment of injured peripheral nerves or other tissue using electrical stimulation. The systems can be used either in intraoperative or peri-operative settings and incorporate the use of either a plurality of monopolar electrodes with a patch used as return or a plurality of bipolar electrodes such as a cuff. The systems can provide hands-free delivery of electrical stimulation therapy over a predetermined set of time.

The invention discloses a postoperative sub-delirium syndrome risk prediction system for a cardiac surgery patient, and relates to the technical field of medical treatment, and the system comprises a clinical data collection module which is used for collecting multi-dimensional clinical data of the cardiac surgery patient in a perioperative period under extracorporeal circulation, the data comprises patient baseline information, preoperative neurocognitive function evaluation indexes, intraoperative physiological parameters and postoperative early-stage vital signs; and the risk identification module is used for utilizing a single-factor statistical analysis mechanism. According to the postoperative sub-delirium syndrome risk prediction system for the cardiac surgery patient, accurate prediction of the sub-delirium syndrome risk is achieved by collecting multi-dimensional clinical data of the patient in the perioperative period, such as baseline information, preoperative neurocognitive function, intraoperative physiological parameters and postoperative early-stage vital signs; the independent risk factors are scientifically screened and quantified by using single factor analysis and a multivariate Logistic regression model, and the problem of incomplete data dimensions in traditional evaluation is effectively solved.

The invention discloses a patient perioperative period adverse event risk prediction system based on electronic medical record data, and the system comprises a data layer which is used for connecting with each information system of a hospital, collecting, cleaning and storing the electronic medical record data of a hospitalized patient, and a feature layer which is used for extracting features related to risk prediction from the original medical record data stored in the data layer. The model layer is used for constructing, training and optimizing a patient perioperative period adverse event risk prediction model, and the application layer is used for carrying out perioperative period adverse event risk prediction on a new patient based on the risk prediction model and sending out an early warning prompt to a prediction result with the prediction probability being 0 or above. And the feedback layer is used for regularly comparing prediction evaluation sent by the perioperative period adverse event risk prediction model of the patient with actual condition data of the patient, and carrying out model training and optimization. According to the invention, the risk of the perioperative adverse events of the inpatient can be effectively predicted, comprehensive risk information early warning is provided for doctors, and the medical service quality is improved.

The invention relates to the technical field of wisdom medical treatment, in particular to a wisdom medical data self-supervision deep processing analysis system, which comprises a multi-department data sensing layer for acquiring multi-department data and postoperative follow-up visit data of a patient; the operation period feature processing center extracts data features of all departments, correlates data before and after an operation through an attention mechanism, and generates a patient perioperative period unified feature map; the full-cycle dynamic analysis unit analyzes the state of the patient in stages based on the patient perioperative period unified characteristic spectrum, and outputs a risk index in combination with a self-supervised training prediction model; the adaptive clinical decision module generates customized suggestions for different departments according to the analysis result and the risk index; the cross-department data collaboration unit is used for constructing a visual collaboration platform, so that doctors of all departments share and interact with a whole-cycle analysis result of an operation; and the dynamic feedback optimization unit collects clinical diagnosis and treatment results and performs reverse fine tuning on parameters of the self-supervised model. Therefore, the problems of strategy solidification, insufficient energy utilization efficiency and the like in the prior art are solved.

The invention discloses a film water collection negative pressure system for an antibacterial operation. The film water collection negative pressure system comprises a water collection main body, a waterproof film and a negative pressure drainage tube. The shape of the water collecting main body is configured to surround a water collecting area on the outer side of a surgical incision on the body surface of a patient, and microporous structures facing the stoma of the human body are distributed on the water collecting main body; the water collecting main body and the water collecting area are covered with the waterproof thin film, the waterproof thin film is provided with a surgical operation opening corresponding to the stoma of the human body in position, and the waterproof thin film is further provided with a liquid passing hole facing the micropore structure; the head end of a tube body of the negative pressure drainage tube is connected with the micropore structure in an attached mode. And the tail end of the tube body of the negative pressure drainage tube is communicated and connected with a negative pressure source. Sterile normal saline for lavage incision can be prevented from flowing to an operating table, a bed sheet and the ground along the body of a patient, the sterile environment of an operation area is guaranteed, the risks of low body temperature, postoperative infection and the like in the operation of the patient are reduced, and the experience of the patient in the perioperative period is improved.

The invention discloses an intelligent assessment and auxiliary decision-making system for a perioperative period of a high-risk surgical patient, and belongs to the technical field of intelligent medical treatment. Comprising a set definition module used for defining a perioperative period state set; the logic set binding module is used for presetting a state binding logic set; the data migration module is used for inputting the multi-source heterogeneous perioperative period data into the state migration engine; the logic set activation module is used for dynamically adjusting the monitoring frequency, the early warning threshold and the decision support focus; the suggestion generation module is used for generating instant early warning and intervention suggestions; and the data recording module is used for feeding back and recording. According to the method, the dynamic state transition mechanism is constructed, and the corresponding monitoring and decision logic is bound for each state, so that the problems of early warning lag, untimely intervention and easy interruption of an intelligent management process caused by disconnection of system response logic and a clinical actual stage in the prior art are solved.

The present application relates to the technical field of medical monitoring and nursing, in particular to a kind of anesthesia perioperative patient emotion real-time monitoring and active pacification system, including multidimensional biological signal perception module, space-time associated emotion prediction engine, neural feedback type active pacification module, surgical event linkage unit and medical intelligent decision terminal.Multidimensional biological signal perception module fuses electromyogram subconscious emotion capture, saliva cortisol microfluidic rapid detection and non-contact physiological monitoring technology, realize the synchronous acquisition of subjective emotion and objective biomarker;Space-time associated emotion prediction engine is based on the time sequence characteristics of surgical event and patient historical data, advance prediction emotional fluctuation risk;Neural feedback type active pacification module is through transdermal electrical stimulation and multi-sensory collaborative output, forms emotion regulation closed loop;Surgical event linkage unit and operating room equipment real-time interaction, automatically trigger pre-pacification mechanism at key operation node.

The present disclosure includes methods (100, 200) for improving surgical accuracy and effectiveness in medical procedures by using an augmented reality system (300). The method (100, 200) involves: generating a preoperative plan in an augmented reality environment by visualizing a holographic representation of a patient's anatomy; recording program data according to the preoperative plan; using the recorded data to update the augmented reality system; and applying the updated system to establish a continuously improved feedback loop. According to the method, by integrating real-time data feedback into the operation process, the accuracy of the operation is improved, the effect of the patient is improved, the program is optimized, and continuous improvement of medical practice is promoted.

The invention belongs to the technical field of biological medicine, and discloses a portal cholangiocarcinoma postoperative risk prediction model based on a gamma-glutamyltransferase (GGT) dynamic change track and a construction method thereof. The method comprises the following steps: (1) collecting clinical characteristic data and survival characteristic data (including survival time and survival state) of a patient suffering from porta hepatis cholangiocarcinoma subjected to radical resection; 2) on the basis of GGT detection results at different time points in a perioperative period, dividing patients into different GGT dynamic change track types by using a latent category hybrid model; and 3) taking the clinical characteristic data and the GGT dynamic change track type as independent variables, taking survival data as response variables, screening prediction factors through LASSO regression, and constructing a multi-factor Cox regression model, namely a postoperative risk prediction model. According to the method, the dynamic evolution rule of the GGT is introduced, so that the limitation of single-time static detection is made up, the quantitative evaluation of the survival risk is realized, and a scientific basis is provided for individualized treatment and follow-up visit management.

An adhesive convertible tissue stabilizer is provided which can be applied preoperatively to a patient to retract tissue to facilitate a medical / surgical procedure. As a perioperative device, the convertible device accepts most, if not all, surgical preparations, enabling the creation of a sterile field. At the completion of the procedure, the convertible device is converted from a perioperative device to a post-operative device by removal of a layer of the convertible device.

The invention relates to the technical field of medical equipment, in particular to an integrated assembly special for treatment in the perioperative period of small intestine air fistula. The integrated assembly special for treatment in the small intestine air fistula perioperative period comprises a protection cover, and a supporting pipe is arranged in the protection cover in an upward penetrating mode; the bottom of the supporting pipe is provided with the plugging piece made of silica gel, and the plugging piece is located at the position below the protection cover; the annular negative pressure liquid suction pipe is arranged on the lower portion of the inner side wall of the protection cover, and a plurality of liquid suction holes are evenly formed in the inner side of the negative pressure liquid suction pipe in an inclined downward mode at intervals. According to the invention, the periphery of the protective cover or even a plurality of negative pressure chambers are adsorbed and clung to the skin of a patient, so that the protective cover can be stably fixed on the human body when the negative pressure in the protective cover is small, and the small intestine tissues in the protective cover are prevented from being excessively deformed; the intestinal tissue near the fistula can be further prevented from deforming and protruding towards the inside of the protective cover.

Method, device, system and associated processing logic for providing optimal perioperative nociception management to anesthetized patient, including monitoring a plurality of nociception-related physiological parameters of the patient using at least two non-invasive physiological sensors; combining the plurality of nociception-related physiological parameters into a nociception index value indicative of a level of nociception of the patient, by applying a machine learning algorithm on the plurality of nociception-related physiological parameters and / or features derived therefrom; comparing the nociception index value to a first threshold value indicative of an upper limit of nociceptive-anti-nociceptive balance (NANB) and to a second threshold value indicative of a lower limit of NANB; and providing a treatment or treatment recommendation based on the comparison and on a clinical concern.

Randomization methods for healthcare scheduling optimization using perioperative stages. Poor scheduling of surgical appointments and procedures in operating rooms can lead to unnecessary downtime, and therefore loss of efficiency. The randomization methods include various probability models, Monte Carlo simulations, and stochastic optimization is used to optimize procedure scheduling in operating rooms. The optimized schedule may be based on estimated procedure duration, estimated turn-around-time, estimated cancellation frequency, forecasted emergency operating room usage, estimated surgeon utilization, and hospital site configuration. A probabilistic machine learning model may be trained based on historic data and ongoing performance data to automate the optimization process and increase accuracy based on up-to-date information and statistics.

The invention provides a construction method of an organ transplantation perioperative period precise drug delivery model, a precise drug delivery prediction device and electronic equipment, and belongs to the technical field of crossing of precise medicine and pharmacology. A primary absorption and elimination two-atrioventricular model with lagging time is adopted as a basic model, covariables are introduced, model fitting is carried out, and an organ transplantation perioperative period precise drug delivery model is constructed. According to the method, internal verification and external verification are carried out on the basis of a goodness-of-fit diagnostic diagram, a prediction correction visual prediction test, a bootstrap method and a normalized prediction distribution error, finally Monte Carlo simulation is carried out to design an administration scheme, an individualized administration scheme is recommended for a patient in the perioperative period, and the model obtained through the construction method provided by the invention has the advantages of high accuracy and high reliability. The adverse reaction occurrence rate of the mycophenolate mofetil capsule can be greatly reduced, the MPA exposure compliance rate is improved, and the occurrence rate of adverse events after organ transplantation is reduced.

The invention discloses a perioperative period hypothermia management method and system, and the method comprises the steps: obtaining the body surface temperature time sequence data of a perioperative period target patient in real time; converting the body surface temperature time sequence data into core temperature change characteristics based on a pre-constructed body temperature conversion model, wherein the body temperature conversion model is constructed based on an association relationship between the body surface temperature time sequence data and the core temperature change characteristics; performing dynamic assessment on the low-body-temperature risk of the target patient based on the core temperature change characteristics to obtain a dynamic risk assessment result; and automatically controlling the heating device based on a dynamic risk assessment result, and converting the body surface temperature time sequence data into core temperature change characteristics through a body temperature conversion model. The risk caused by invasive measurement is avoided, the accuracy of non-invasive body temperature monitoring is improved, the heating device is automatically controlled to automatically heat or stop heating in real time according to the dynamic risk assessment result to dynamically adjust the body temperature of the patient, and automatic body temperature adjustment is achieved.

The application discloses a brain hemorrhage perioperative medication scheme intelligent recommendation method and system, acquires physiological parameters and operation time sequence characteristics of a patient, constructs a patient risk image, carries out risk matching with a drug knowledge base to generate a candidate drug set, extracts drug attribute characteristics to determine a drug function grouping, carries out adaptability scoring based on the patient risk image to generate a grouping adaptability matrix, carries out drug interaction analysis to identify synergistic pairs and antagonistic conflict pairs, carries out combination optimization on the synergistic pairs to generate a synergistic scheme, carries out conflict exclusion screening on the antagonistic conflict pairs to generate safety constraints, constructs a medication scheme topology, carries out dose sensitivity anomaly detection and correction to generate a correction factor to generate a time-sharing drug administration scheme, carries out real-time monitoring to carry out perfusion evaluation to determine a safety level and trigger dose adjustment, forms an optimized medication scheme, and realizes intelligent recommendation of perioperative medication.

The invention discloses a perioperative period waste liquid collection system with a buffer device, and belongs to the technical field of medical instruments. According to the invention, a buffer device is added, and the device is made of plastic and rubber materials, so that damage to red blood cells caused by metal materials used by a traditional mechanical structure can be avoided; the two-stage rubber plugs of the petal-shaped structure and the umbrella-shaped structure are closed and opened under the action of negative pressure, so that buffer suction of blood is realized; meanwhile, a silencing device is additionally arranged at the tail end of the vacuum pump, and silencing of the vacuum pump is achieved through a porous structure and change of a gas circulation path.

The invention provides a perioperative period stress identification method and system based on HRV intelligent monitoring, and relates to the technical field of medical data processing, and the method comprises the steps: determining segmented periods in a perioperative period of a monitoring period; determining a plurality of HRV data and physiological index data, and a first input vector and a second input vector of the HRV data and the physiological index data; determining time period coding information according to the segmented time period and the starting time of the monitoring period; and determining a stress index through a stress identification model. According to the system and the method, various signals of the patient in the perioperative period can be acquired through the wearable physiological signal acquisition device, whether the patient has a stress response in each subsection period or not is identified by utilizing the characteristic that the HRV signal can reflect the sympathetic nerve condition, and various physiological index data are utilized for auxiliary judgment; according to the method, the accuracy and confidence of recognition are improved, various collected data can be continuously acquired and updated, and the timeliness of recognition is improved.

The utility model discloses a medical anti-slip, convenient flushing, pressure measurable single 'J' tube, which comprises a single J tube annular part and a single J tube main body, the right end of the single J tube main body is provided with the single J tube annular part, the left end of the single J tube main body is provided with a single J tube side branch, the lower side of the single J tube side branch is provided with a drainage bag, and the drainage bag is provided with a drainage hole. The single J tube collateral branch is connected with the drainage bag through a collateral branch flushing sampling end, and is used for a patient subjected to ureteral skin stoma pelvis ureteral drainage after radical bladder resection, the postoperative ureteral stent can be better prevented from slipping, the postoperative ureteral stent can be conveniently flushed, necrotic tissues and foreign matters can be flushed out in time, flushing and pressure measurement are facilitated due to sufficient drainage, and the drainage effect is good. Risks of hydronephrosis and exuresis caused by blockage of the ureteral stent after the operation of a patient are reduced, sampling after the operation is convenient, the condition of intrarenal pressure of the patient is known in time, and the problems that the ureteral stent slips easily and is difficult to wash in the perioperative period are solved.

Abstract The invention relates to a perioperative cobotic system designed to monitor, assess, and manage bioburden in real-time within operating room environments during surgical procedures and turnover phases. The system includes a mobile base equipped with a drive mechanism for maneuverability, a camera to capture image data, an actuator for camera movement, and a biosensor for direct bioburden assessment. Abstract assessment. 20 26 20 16 37 04 M ar 2 02 6 A b s t r a c t 2 0 2 6 2 0 1 6 3 7 0 4 M a r 2 0 2 6 a s s e s s m e n t .

The embodiment of the invention provides a risk prompting system and method with a preoperative evaluation function, and relates to the technical field of operation prompting systems. The risk prompting system with the preoperative evaluation function comprises a server side, and the server side comprises a data input module which is configured to input operation related information and patient information; the evaluation module is configured to receive the patient information, calculate the physical condition score of the patient according to the patient information, estimate the operation risk and the perioperative period complexity, and obtain an evaluation result; the data storage module is configured to store data and output first data according to an evaluation result of the evaluation module; the system further comprises a user terminal connected with the server side. Through the technical characteristics of a data input module, an evaluation module, a data storage module and the like, accurate evaluation of the physical condition score of a patient, the surgical risk and the perioperative period complexity is realized.

The invention discloses a plasma metabolism biomarker combination for predicting and intervening propofol-induced respiratory depression, a detection method and application, and relates to the technical field of biological science. According to the method, non-target metabonomics detection is conducted on preoperative plasma of 298 subjects through UPLC-MS, 14-metabolite panels are obtained through machine learning supervised feature screening, a diagnosis model is established through verification of discovery and verification queues, and the prediction AUC of severe respiratory depression reaches 0.86-0.91 (discovery queue) and 0.86-0.91 (verification queue). Mouse in-vivo function verification proves that the key metabolite alpha-linolenic acid obviously improves the respiratory rate, the tidal volume and the minute ventilation volume under two administration paradigms of pretreatment and treatment of a mouse propofol-RD model, shortens the recovery time of righting reflex, has a good safety foundation, and has a good application prospect. Prompt can be converted into a foresight supplement or rapid treatment medication thought in a perioperative period, and a'prediction and intervention 'integrated clinical value is formed.

The invention provides a perioperative period hypotension probability prediction method which can be applied to the technical field of perioperative periods. The method comprises the following steps: collecting a multi-modal physiological signal and static demographic information of a patient in a perioperative period; segmenting the multi-modal physiological signal into signal segments with fixed lengths to serve as analysis units; performing weighted summation on time proximity, hemodynamic severity and blood pressure tendency to obtain a continuous perioperative period hypotension probability soft label of each signal fragment; discrete medical priori features are extracted from the arterial blood pressure signals in the signal segments; based on the signal segments and the medical prior features, frequency domain features and time domain features are extracted by using a double-current neural network; splicing the frequency domain feature, the time domain feature and the medical prior feature into a fusion feature vector; training a double-flow neural network by using the fusion feature vector and an adaptive optimization algorithm to obtain a trained double-flow neural network; and predicting the hypotension probability in the perioperative period by using a double-flow neural network.

Randomization methods for healthcare scheduling optimization using perioperative stages. Poor scheduling of surgical appointments and procedures in operating rooms can lead to unnecessary downtime, and therefore loss of efficiency. The randomization methods include various probability models, Monte Carlo simulations, and stochastic optimization is used to optimize procedure scheduling in operating rooms. The optimized schedule may be based on estimated procedure duration, estimated turn-around-time, estimated cancellation frequency, forecasted emergency operating room usage, estimated surgeon utilization, and hospital site configuration. A probabilistic machine learning model may be trained based on historic data and ongoing performance data to automate the optimization process and increase accuracy based on up-to-date information and statistics.

The invention provides an eCRSwNP nasal endoscopic postoperative treatment method for regulating acidophilic granulocyte activity based on acupuncture, and relates to the technical field of traditional Chinese medicine for preventing and treating nasosinusitis diseases. According to the eCRSwNP nasal endoscopic post-operation treatment method for adjusting the acidophilic granulocyte activity based on acupuncture, accurate adjustment of the acidophilic granulocyte activity is achieved through a synergistic scheme of a nasal endoscopic operation, perioperative drug treatment and standardized acupuncture treatment, the postoperative recurrence rate is reduced, and the nasal symptom and life quality of a patient are improved. Acupuncture point selection, operation specifications, treatment frequency and treatment course of acupuncture are defined, a repeatable and generalizable standardized treatment scheme is formed in combination with strict patient screening standards, a quality control system and ethical guarantee, the technical problems that existing eCRSwNP postoperative treatment is lack of targeted immunoregulation means and the recurrence rate is high are solved, and the therapeutic effect of the eCRSwNP postoperative treatment is improved. And a new clinical path is provided for traditional Chinese medicine intervention on refractory nasosinusitis diseases.

In one embodiment, the invention relates to systems, methods, and apparatus relating to the detection of a neuropathy such as a periopertive neuropathy. In one embodiment, a wristband comprising a plurality of anodes and cathodes is used. The wristband can be a component in a electrode array that includes a plurality of reference or recording electrodes. The electrode array can be configured to stimulate and collect responsive signals from an ulnar, a median, radial and posterior tibial nerve. The simulation and signal collection can be performed on a continuous basis for time periods of interest such as a given perioperative time period using a monitoring device.

A perioperative period virtual experience method based on VR comprises the following steps: displaying an initial virtual scene to a patient based on a VR (Virtual Reality) technology, and adding a virtual limb in the initial virtual scene; capturing motion data of the patient in the motion process of the patient, and generating limb adjustment data based on the motion data; adjusting a virtual pose of the virtual limb based on the limb adjustment data; and adjusting the initial virtual scene based on the virtual pose to generate a dynamic virtual scene. According to the VR-based perioperative period virtual experience method and system provided by the invention, various virtual scenes in a perioperative period can be displayed to a patient through a VR technology, and actions of the patient in a real space are mapped to the virtual scenes in a manner of action capture, so that interaction between the patient and the virtual scenes is realized, and the virtual experience experience of the patient is improved. And the patient can fully and deeply experience all links in the perioperative period.

The invention provides a traditional Chinese medicine composition used in the perioperative period of fundus surgery and a preparation method and application thereof, and belongs to the technical field of traditional Chinese medicine. The traditional Chinese medicine composition for the perioperative period of the fundus surgery is prepared from the following components in parts by weight: 9 to 15 parts of radix astragali seu hedysari, 6 to 12 parts of radix angelicae sinensis, 6 to 12 parts of radix rehmanniae, 6 to 12 parts of herba ecliptae, 3 to 9 parts of radix paeoniae rubra, 3 to 9 parts of rhizoma atractylodis macrocephalae, 6 to 12 parts of semen plantaginis, 1 to 6 parts of radix saposhnikoviae and 1 to 6 parts of ramulus cinnamomi. By adopting the traditional Chinese medicine composition, the postoperative vision of a patient subjected to fundus surgery can be effectively improved, the retina sensitivity is improved, and the visual function of a macular region is improved; absorption of fundus hemorrhage is effectively promoted, the central fovea thickness of a macular region is reduced, and absorption of postoperative macular edema is promoted; the traditional Chinese medicine composition can improve eye local and whole body traditional Chinese medicine syndromes, and is safe in clinical medication.

The invention belongs to the field of medicines, and discloses application of macastine B in preparation of anti-inflammatory, repair-promoting and relapse and metastasis-resisting medicines after liver cancer operation. The invention discloses an application of macastine B in preparation of a medicine for recovering a liver cancer patient after partial liver resection. The macaxantin B can promote liver function recovery, reduce the level of inflammatory factors of liver tissues and serum species, and reduce the tumor recurrence rate and the tumor visceral metastasis rate after tumor excision after an orthotopic liver cancer surgical operation, and compared with simultaneous administration of a liver protection drug and an anti-tumor drug, the macaxantin B has the advantages that the liver metabolism burden is reduced, and the curative effect is improved. And a novel drug treatment choice is provided for disease management of a liver cancer patient in a perioperative period. The invention discloses a medicine for promoting postoperative recovery of an orthotopic liver cancer surgical operation. The medicine comprises an effective therapeutic dose of macastine B and pharmaceutically acceptable auxiliary materials.