1026 results about "Therapeutic effectiveness" patented technology

The invention discloses a critical patient nursing intelligent monitoring system and method, and relates to the technical field of intelligent monitoring. Collecting physiological data and activity data of a patient in real time by using a multi-sensor system, and establishing an initial health file of the patient; according to the collected physiological data and activity data, daily activities and behavior modes of the patient are analyzed, and an individualized health baseline is established; monitoring physiological data and activity data of the patient in real time, identifying an abnormal trend, and generating an early warning signal; preferentially distributing nursing measures according to the state of the patient; the nursing measure effect is evaluated, and if the expected nursing effect is not achieved, the monitoring strategy is readjusted; according to the invention, the health state of the patient is comprehensively monitored and accurately analyzed in real time, so that abnormity can be found and intervened in time when the abnormity occurs, the patient can be nursed and treated in time, waste of nursing resources and nursing errors are reduced, and the treatment effect and the nursing quality of the critical patient are improved.

The invention relates to the technical field of medical big data intelligent analysis, and discloses a medical big data intelligent analysis method and system based on deep learning, and the method comprises the steps: obtaining patient image data, case text data and wearable equipment monitoring data, carrying out the preprocessing, and carrying out the standardized coding of each modal data; and calculating the dynamic weight of each modal data, and synthesizing a multi-level fusion weight. And in combination with the fusion weight and the clinical state parameters of the patient, constructing a modal value-clinical urgency degree two-factor resource decision model to obtain a priority score. According to the priority scores, the patients are divided into different emergency treatment levels, and different treatment strategies are provided. The model provided by the invention can maintain efficient prediction capability in various clinical scenes, improves the accuracy of clinical decisions, and enables the resource allocation of hospitals to be more scientific and reasonable. In an emergency treatment environment, the real-time priority evaluation of the patient can significantly improve the efficiency of emergency treatment, reduce the waiting time, and improve the survival rate and the treatment effect of the patient.

The invention provides an intelligent tumor nursing monitoring system. The intelligent tumor nursing monitoring system comprises a data acquisition module, a data processing module, a dynamic evaluation module, a multi-stage early warning module and a self-adaptive control module. The data acquisition module acquires physiological sign data, tumor local image data and body fluid biochemical data of a patient in real time through a multi-source biosensor. And the data processing module performs space-time alignment, noise suppression and cross-modal feature association on the multi-modal data to generate a comprehensive feature map. The dynamic evaluation module calculates the tumor progress rate and the complication risk coefficient based on the map, and generates a personalized risk prediction curve. And the multi-stage early warning module triggers an early warning signal according to the curve and generates a risk traceability report. And the adaptive control module generates a personalized scheme based on the early warning signal and the traceability report and controls the medical equipment to execute closed-loop feedback adjustment. The nursing quality and the treatment effect of tumor patients can be improved, and the medical risk is reduced.

The invention relates to the technical field of surgical intervention, in particular to a catheter system and method for neurosurgery surgical intervention, in the invention, through accurate path prediction, real-time monitoring and dynamic adjustment, the accuracy of catheter operation is remarkably improved, and through analysis of historical surgical data, information such as path, speed and angle in the surgical process is accurately extracted, so that the accuracy of catheter operation is improved. A more accurate neural structure position can be provided by timely adjusting the movement direction of the catheter, spatial positioning and form calculation, the spatial deviation between the current position of the catheter and a target neural structure is calculated in real time through a support vector machine algorithm, a path is adjusted according to a set threshold value, historical operation data is learned through a convolutional neural network, and the operation accuracy is improved. The catheter operation strategy is optimized, operation data and deviation are analyzed in real time, the operation precision is automatically adjusted, catheter operation in the operation process is more accurate, patient wounds are smaller, the recovery time is shorter, the treatment effect is better, and the recovery speed of patients is increased.

Agentic AI, Contextual AI, and Generative AI systems and methods are provided for quantitative or qualitative patient analytics, blood work analytics, medical image analytics (x-ray, ultrasound, CT Scan, MRI and the like), brain scan analytics, present or historical genetic analytics and the like, to be used to guide, assist or even replace some of these physician functions with improved patient outcomes or with an improved understanding of the source of ailments, the analysis of treatment efficacy or treatment side-effects for individuals or populations of individuals. Genetic information is used to create individualized or population-based analysis, diagnostics, or treatment plans with even better outcomes.

The invention discloses an explainable method of a cardiovascular disease prediction model based on SHAP, and aims to construct an accurate cardiovascular disease prediction model and provide explainable analysis by combining multi-source medical data. The method comprises the following steps: acquiring medical data related to cardiovascular diseases, performing data preprocessing and feature engineering coding, and establishing a cardiovascular disease data set; carrying out importance evaluation on the features by using a Boruta algorithm, screening out features which play an important role in cardiovascular disease prediction in combination with a random forest, and completing the division of a training set and a test set; adopting a grid search algorithm to adjust and optimize hyper-parameters, and optimizing the performance of the model; training the training set data by using an XGBoost algorithm, establishing a cardiovascular disease prediction model, and outputting feature importance; and inputting the data set into the trained model, outputting a prediction result of each patient, visualizing the prediction results by using an SHAP interpretation tool, and analyzing the interaction effect of characteristic variables and the contribution of a single characteristic. According to the technical method, accurate prediction and analysis support can be provided for clinic, doctors are helped to formulate effective prevention measures, and therefore the early diagnosis and treatment effect of cardiovascular diseases is improved.

The invention discloses an intelligent patient monitoring and predicting clinical data analysis system, which belongs to the field of medical analysis and comprises a real-time monitoring module, a data acquisition module and a knowledge base building module. According to the method, the nursing quality of the patient can be improved, medical resources can be effectively saved, the processing capacity of complex medical data is enhanced, the scientificity and rationality of clinical decisions are improved, a personalized and timely health management scheme is provided for the patient, a hospital can be more prospective and initiative in disease management, and the disease management efficiency is improved. Therefore, the overall medical service level is improved, uncertainty and patient individualized demand differences existing in clinical data can be effectively handled, and scheme suggestions with higher diversity and flexibility are provided for medical staff during decision making, so that the whole system has real-time performance, and long-term effect optimization across time dimensions can be realized; the treatment effect and experience of the patient can be improved, and a scientific basis is provided for reasonable distribution of medical resources.

The invention discloses a PICC catheter real-time data acquisition-based nursing quality monitoring system, and relates to the technical field of nursing quality monitoring, the system comprises a data acquisition module, a real-time analysis module, a long-term tracking module, a risk dynamic evaluation module, a nursing intervention module and a patient monitoring module, and the modules are in electric signal connection. According to the nursing quality monitoring system based on PICC real-time data collection, by continuously monitoring physiological parameters of a patient and PICC related data, nursing personnel can respond to demand changes of the patient in time, PICC related complications can be effectively recognized and prevented, abnormal conditions can be found in time, intervention measures are taken, and the nursing quality is improved. Therefore, the risk of complications is reduced, the safety of the patient is improved, nursing personnel can make a personalized nursing plan more accurately, the pertinence and effectiveness of nursing are improved, and the treatment effect of the patient is improved.

The invention discloses percutaneous nerve field vagus nerve stimulation diagnosis and treatment equipment and a diagnosis and treatment method thereof, and particularly relates to the technical field of neuromedicine, intelligent medical equipment and multi-mode physical therapy. The equipment comprises a neural signal acquisition module, a nerve positioning module, a data processing and analysis module, a treatment execution module and a diagnosis result output module; the system is further provided with a battery power management module, a self-adaptive closed-loop cloud platform and a wearable fixing device, by collecting bioelectricity signals, light absorptivity and temperature data of an ear nerve area, ear target cranial nerve branches are positioned, a dynamic diagnosis map is constructed, and a diagnosis result and personalized treatment parameters are generated. Electric pulse, near-infrared light and local thermal therapy multi-mode collaborative stimulation is adopted for treatment, and parameters are monitored and adjusted in real time through a cloud platform. According to the invention, accurate diagnosis and personalized treatment can be realized, the medical efficiency and the treatment effect are improved, and an effective means is provided for nerve disease diagnosis and treatment and pain relief.

The invention provides an intelligent auxiliary evaluation system for right ventricular systole and diastole functions of echocardiography, and aims to solve the problems of low accuracy and efficiency in right ventricular function evaluation in the prior art. The system comprises an image acquisition unit, an image processing unit, a feature extraction unit, an intelligent evaluation unit and a result output unit, and through an intelligent algorithm, especially a deep learning network DL and a convolutional neural network CNN, a feature extraction result is obtained. Key indexes such as a two-dimensional right ventricular area change fraction 2D-FAC, a right ventricular ejection fraction RVEF and tricuspid valve ring plane contraction period displacement TAPSE are automatically calculated. The system also realizes accurate evaluation of the right ventricular function through a specific CNN structure and loss function design. The system can provide rapid, accurate and non-invasive right ventricular function evaluation in clinical practice, and is helpful for improving the diagnosis and treatment effects of cardiovascular diseases.

The invention discloses a multifunctional leg sleeve for auxiliary treatment of lower limb lymphedema, which comprises a leg sleeve body, a pressure sensing unit, a temperature and humidity sensing unit, an air bag pressure unit, a heating unit, an electrical stimulation unit, an impedance measuring unit and a portable force-electricity-heat cooperative intervention controller, the leg sleeve is characterized in that the pressure sensor and the temperature and humidity sensor monitor internal environment parameters of the leg sleeve body, drive the air bag pressure unit to perform self-adaptive pressurization, and drive the heating element and the electrical stimulation electrode to perform intelligent heating medicine application and muscle stimulation at the same time; the main control unit is driven to adjust the pressure, the temperature and the stimulation intensity of the air bag pressurizing unit, the heating unit and the electrical stimulation unit; in the wearing period, the device uploads data to a mobile phone and a cloud server terminal for data analysis, optimal pressure, temperature and electrical stimulation regulation prescriptions are provided for a user, and a good treatment effect is achieved.

A novel catheter is disclosed comprising an electrode array that is capable of switching between a sensing configuration for sensing electrical signals of biological tissue and an ablation configuration for delivery of ablation energy at a region of interest. Irrigation ports are interlaced within the electrode array to vent irrigant during an ablation procedure to; prevent excessive heating, charring of tissue, coagulation of blood, and allow for efficient delivery of ablation therapy for maximum therapy efficacy. The novel catheter includes a plurality of splines with linear portions wherein the electrodes of the electrode array are disposed. The splines are connected by connectors which include one or more bends capable of storing potential energy when the bends are elastically deformed, enabling collapse and expansion of the catheter in a sheath. Software logic associated with this catheter analyzes sensing signals to diagnose critical regions of the biological rhythm disorder, and enables directional guidance to move the catheter to critical regions for therapy.

The invention discloses an anesthesia assessment big data intelligent supervision system, which comprises a user interface module and a supervision system module, and is characterized in that the supervision system module comprises a multi-source data acquisition and integration module, a real-time data analysis and assessment module, an intelligent early warning and decision support module and a visual report and long-term tracking module; by integrating advanced information technology and medical knowledge, intelligentization and precision of anesthesia management are realized, all modules of the system cooperate with one another, data acquisition, processing, analysis and application are completed together, comprehensive, accurate and personalized anesthesia risk assessment and scheme suggestions are provided for users, and the user experience is improved. According to the method, doctors can be helped to master the condition of a patient more accurately, a more reasonable treatment scheme is formulated, risks and complications in the anesthesia process are reduced, the treatment effect and satisfaction degree of the patient are improved, configuration of medical resources can be optimized, the efficiency and quality of medical services are improved, and powerful support is provided for sustainable development of medical institutions.

The invention discloses a rapid identification method applied to defibrillation requirements of an AED device, and belongs to the technical field of medical equipment. According to the method, multiple links including acquisition, preprocessing, feature extraction, mode classification, real-time classification and defibrillation triggering work cooperatively, and advanced signal classification and mode recognition technologies are introduced, so that efficient and accurate electrocardiosignal analysis is realized in the AED device, the response speed and accuracy in the emergency treatment process are remarkably improved, and the emergency treatment efficiency is improved. Multi-dimensional features of electrocardiosignals are extracted and input into a pattern classification model, automatic recognition of arrhythmia is achieved, whether defibrillation operation needs to be carried out or not can be accurately judged, the possibility of misjudgment is reduced, self-optimization can be carried out according to new electrocardiosignal data through a dynamic learning and retraining mechanism, and the accuracy of defibrillation is improved. The adaptive capacity to a complex heart rhythm mode is improved, the first-aid response time is effectively shortened, the safety of a patient is guaranteed, and the first-aid efficiency and the treatment effect are improved.

The invention provides a dynamic adjustment method based on a depression mind-correcting treatment scheme, and relates to the technical field of medical care information, and the method comprises the steps: collecting multi-dimensional information of a patient, and collecting life behavior risk data, psychological scale data and cognitive function evaluation data; comprehensively evaluating the depression level of the patient; determining the priority of a treatment therapy module according to the multi-dimensional information of the patient; generating an initial treatment scheme; calculating a daily task comprehensive weight value, and dynamically adjusting the training content of the next day; and evaluating the state of the patient in stages, recalculating the priority of each therapy module, and optimizing the therapeutic scheme. Through multi-dimensional data fusion evaluation and intelligent algorithm dynamic adjustment, a complete closed-loop feedback optimization system is constructed, precision and individuation of a depression treatment scheme are achieved, the treatment effect and patient compliance are effectively improved, the recurrence risk is reduced, and a more scientific and effective treatment scheme is provided for depression patients.

The invention discloses a refined health care management and control method and management and control platform for pregnancy preparation people, and relates to the technical field of health care, and the method comprises the steps: building a full-period pregnancy preparation health care system, and obtaining a plurality of health treatment and nursing nodes; constructing a pregnancy preparation health nursing patient education knowledge base, and obtaining a patient education nursing node partition knowledge base; obtaining a target health care risk parameter; and obtaining health care consultation knowledge, and performing refined health care management and control on the target user. The problems that existing pregnancy preparation health care lacks refined and personalized adjustment and risk assessment for individual health conditions, living habits and specific requirements, accurate, objective and comprehensive health care knowledge is difficult to obtain, consequently, tension and anxiety of a patient cannot be effectively relieved, the overall medical experience is poor, and the patient experience is poor are solved. The technical problems are solved, and the technical effects of improving the overall working efficiency, the medical experience and satisfaction of the patient and the treatment effect are achieved.

The invention relates to the field of psychological health, and provides an employee psychological health management system and method based on cloud computing, and the system comprises a psychological archive management module which is used for collecting, classifying, storing and updating the psychological health data of employees, and calculating the comprehensive psychological health indexes of the employees; the intelligent psychological assessment module is used for acquiring psychological data of the employees and assessing psychological states of the employees by applying an advanced regression model to obtain psychological assessment results; the remote psychological counseling module is used for evaluating the psychological counseling effect of the employee to obtain a first evaluation value of the psychological counseling effect; the personalized psychological assistance plan generation module is used for generating a psychological assistance plan for the employee; and the virtual reality psychological treatment module is used for providing psychological treatment service for the employees through the virtual reality technology and evaluating the treatment effect to obtain a second evaluation value of the virtual reality psychological treatment effect. According to the invention, the psychological health state of the employee can be comprehensively and accurately improved.

The invention belongs to the field of biomedicine, particularly relates to an age estimation method based on proteome data, and more particularly relates to a data set establishing method, an age estimation model training method, an age estimation method, an age estimation model or device, electronic equipment and a nonvolatile computer readable storage medium. And their use for assessing the biological age of a subject, the degree or rate of aging of the subject, the degree or rate of aging of a specific tissue / organ of the subject, the effect of aging intervention means, the risk of the subject to suffer from an aging-related disease and / or the therapeutic effect of the aging-related disease.

A system for automated programming of stimulation devices uses machine learning with multimodal medical imaging data to determine optimal patient-specific parameters. The system stores voxel-level intensity and functional imaging data from patients who previously underwent stimulation therapy. Similarity metrics calculated directly between the raw imaging data are used to cluster patients into phenotypic groups. Known therapeutic outcomes for each patient are linked to the associated stimulation parameters. For a new patient, biomarkers are extracted from their medical imaging data and used to identify phenotypically similar groups. The stimulation parameters with beneficial outcomes in those groups are analyzed to determine target recommended settings or discard suboptimal settings for the new patient. This data-driven approach leverages machine learning on multimodal medical imaging to automate patient-specific programming of stimulation therapy devices for optimal therapeutic benefit without requiring spatial normalization or atlas registration.

The invention relates to the field of remote medical management, and particularly discloses a remote medical management system and method based on a cloud platform. The method comprises the following steps: firstly, acquiring basic information of a diabetic patient acquired by a database, doctor's advice information of the diabetic patient acquired by the database and blood glucose values of the diabetic patient acquired by a portable device at a plurality of preset time points, then performing feature extraction and correlation analysis on the three information by using a deep learning technology, and finally, generating the blood glucose values of the diabetic patient through a generator. Therefore, a doctor is helped to quickly know the current health condition and the treatment effect of the patient, the treatment scheme can be conveniently and timely adjusted, personalized medical treatment is realized, and continuous optimization of long-term health management is promoted.

The invention provides a cerebral stroke patient traditional Chinese medicine rehabilitation nursing strategy recommendation method based on RNN monitoring, and the method comprises the steps: recognizing cerebral stroke image features in a cerebral stroke medical image of a cerebral stroke patient through a cerebral stroke RNN detection model trained through big data, and outputting a symptom period, an onset risk level and a corresponding traditional Chinese medicine rehabilitation nursing strategy; writing into a medical record file in the HIS system; and pushing the medical record file to the APP terminal of the stroke patient. The medical image interpretation of the stroke patient is realized, and the pre-diagnosis report of the stroke patient is generated, so that doctors and patients can know the morbidity state of the stroke patient, and the treatment and recovery conditions of post-hospital stroke can be tracked in time. Patients do not need to go to hospitals to take reports and know the stroke development state at home, and convenience is provided for the patients. And an adaptive traditional Chinese medicine rehabilitation nursing strategy can be quickly recommended to the patient, so that the patient realizes good cerebral apoplexy rehabilitation nursing based on traditional Chinese medicine rehabilitation dialectical treatment and a progressive rehabilitation nursing mode, and the treatment effect is improved.

The invention relates to the technical field of medical equipment, provides a non-intrusive closed-loop ear vagus nerve stimulator for improving cerebral apoplexy and a use method, and aims to improve the symptoms of a patient by stimulating the ear vagus nerve in a conchae area. The device integrates an electrical stimulation electrode, a host and a closed-loop feedback module, monitors brain blood flow changes and other physiological parameters of a patient in real time, and automatically adjusts stimulation parameters through an intelligent algorithm to realize personalized treatment. A microprocessor, a multi-mode monitoring unit and a data fusion analysis unit are arranged in the host, and accurate and efficient treatment is ensured. In addition, the equipment supports remote intelligent monitoring and guidance, a treatment plan can be remotely adjusted, and the treatment effect is improved. A user interaction interface is friendly, and operation of patients and medical staff is facilitated. The stimulator is light in design, the conductive silica gel electrode is adopted, through real-time monitoring and intelligent adjustment, accurate and efficient treatment is provided for a patient, the comfort level and treatment convenience of the patient are ensured, and a safe and effective rehabilitation scheme is provided for the stroke patient.

The invention belongs to the field of massage control, and relates to a hand massager which comprises a base, an upper cover and a cavity arranged between the base and the upper cover, the cavity is defined by a first lining piece and a second lining piece and is provided with a plurality of air bags used for different areas of a hand, and the air bags comprise a finger air bag, a hand back air bag, an upper wrist air bag, a lower wrist air bag and a palm air bag; the cavity extends to the middle section of the arm of a user, and two or more EMS electrotherapy sheets are arranged in the cavity and connected to the control panel; a dip angle alpha is arranged at the bottom of the cavity, so that the palm and the wrist of a user are kept in a natural fit posture, the dip angle structure is fixed or suspended, and an elastic element is arranged below the suspended dip angle structure; and a lithium battery is also arranged in the hand massager. The problems that a traditional massager only limits physical pressing, is insufficient in coverage area and poor in comfort are solved, the massage depth and the treatment effect are remarkably improved, and the massager is suitable for relieving hand fatigue and neuropathic pain and assisting in rehabilitation treatment.

The invention provides an evaluation-intervention integrated system and equipment oriented to personalized rehabilitation scheme optimization. The evaluation-intervention integrated system comprises a personalized scheme recommendation module, a curative effect evaluation module and an intervention scheme optimization and adjustment module. The personalized scheme recommendation module generates a personalized rehabilitation treatment scheme by collecting multi-dimensional data and combining with a machine learning algorithm. And the curative effect evaluation module monitors and comprehensively evaluates the rehabilitation effect of the patient in real time, and generates a detailed curative effect report. And the intervention scheme optimization and adjustment module dynamically adjusts the treatment scheme and optimizes the treatment content, intensity and frequency according to the curative effect evaluation result and patient feedback. Through intelligent analysis and a feedback mechanism, an accurate and customized rehabilitation treatment scheme is provided for each patient, dynamic adjustment is performed according to a real-time evaluation result, and the rehabilitation treatment accuracy and the treatment effect are remarkably improved. The system also supports real-time data sharing and cooperation among patients, doctors and rehabilitation experts, and can perform cross-region and cross-professional personalized treatment management.

The utility model relates to the field of medical instruments, in particular to a dilution system structure for hemodialysis, which comprises a front dilution loop, a rear dilution loop, a displacement liquid outlet, a dialyzer and a controller. Displacement liquid of the displacement liquid outlet flows into the dialyzer through the front dilution loop, and dialysate flowing out of the dialyzer and the displacement liquid of the displacement liquid outlet flow into a human body through the rear dilution loop; the front dilution loop comprises a front dilution displacement pump, and the rear dilution loop comprises a rear dilution displacement pump; the problems that existing hemodialysis synchronous mixing and diluting treatment effects are poor and flexibility is poor are solved. The operation modes of the front dilution replacement pump and the rear dilution replacement pump are changed through the connection mode of the front dilution loop and the rear dilution loop, and flexible adjustment of the dialysis mode is achieved; the hemodialysis treatment effect can be effectively improved by monitoring the hemodialysis process in real time and automatically adjusting the hemodialysis parameters according to the monitoring result.

The traditional Chinese medicine physical therapy hot compress equipment comprises a shell, a lifting mechanism is arranged on the lower side of the interior of the shell and comprises a first sliding seat and a plurality of second sliding seats, and the first sliding seat and the second sliding seats are slidably connected with the inner wall of the shell; the multiple second sliding seats are mutually connected and fixed through connecting rods, a bag net is fixedly arranged between the first sliding seat and the multiple second sliding seats, a detection mechanism is arranged on the side, away from the bag net, of the first sliding seat, and a fixing mechanism is arranged below the shell. The detection mechanism is arranged, the temperature of the lower side of the interior of the shell can be monitored in real time through the detection mechanism, it can be guaranteed that the hot compress treatment effect of a patient cannot be reduced while the patient is prevented from being scalded, and when the temperature is too low, a hot compress towel can be popped up in time to prompt medical staff to replace or detach the device; and the manpower consumption required by hot compress treatment is reduced.

The invention discloses a heart diaphragm patent foramen ovale suturing instrument and suturing system, comprising an outer tube in which a suture, a stent assembly and a puncture assembly are arranged in a penetrating manner; the suture is provided with a first section, a second section and a third section, a pre-tightening knot is arranged between the first section and the second section, and a plugging section is arranged between the second section and the third section; the support assembly comprises a control rod and a bearing arm, the bearing arm is driven by the control rod to extend out of the far end opening of the outer pipe and then extends in the first direction, and the far end of the bearing arm is detachably connected with an anchoring base connected with the third subsection. The puncture assembly comprises a puncture guide wire, and the far end of the puncture guide wire can stretch out of the far end opening of the outer tube and then is bent to form an arc-shaped needle. An anchoring buckle is arranged at the far end of the puncture guide wire and can be connected with the anchoring base in a matched mode. According to the invention, few or no implants exist, a tunnel with an unclosed foramen ovale is not twisted, the contact area at a suture plugging point can be increased, and a better suture plugging treatment effect is achieved.

An example method includes identifying an image of a tissue sample obtained from a subject. The tissue sample includes at least one cancer cell and at least one non-cancer cell. The example method further includes identifying the at least one non-cancer cell depicted in the image; generating a metric based on the at least one non-cancer cell depicted in the image; and predicting, based on the metric, whether the at least one cancer cell is susceptible to at least one treatment.

The present invention discloses an intelligent respiratory support and airway clearance auxiliary system, method, device and storage medium, which relates to the field of medical data processing technology. The data acquisition module is used to obtain real-time parameter data; the respiratory analysis unit analyzes the blood oxygen saturation, oxygen partial pressure and carbon dioxide partial pressure data; the lung image data analysis unit intelligently analyzes the lung auscultation image data to identify the lung sputum blockage; the ventilator waveform analysis unit identifies abnormal waveform data based on the waveform data of the ventilator; the airway clearance module is used to determine whether it is necessary to start the Ilohen expectoration breathing mode according to the intelligent analysis results. The present invention uses advanced data processing technology and algorithms to monitor the patient's breathing in real time, and promptly discover and deal with airway problems. Through systematic data collection and analysis, the efficiency and accuracy of airway clearance are improved, the patient's treatment effect is improved, and the patient can actively expectorate while using a ventilator.

The utility model discloses a drug delivery tooth socket which comprises a tooth socket body, the tooth socket body is provided with a lip side face, a tooth groove and mounting holes communicated with the tooth groove, and the tooth socket body is provided with a plurality of mounting holes in the extension direction of the lip side face; a medicine storage cavity capable of storing medicine and a release hole communicated with the medicine storage cavity are formed in the medicine storage bag, and the medicine storage cavity is communicated with the outside through the release hole; the medicine storage bag is detachably connected with the mounting holes, and when the medicine storage bag is connected with one of the mounting holes, the release hole is communicated with the tooth socket through the mounting hole, so that the time that the medicine is attached to teeth and periodontium can be effectively prolonged, and the treatment effect of the medicine on an affected part is improved.