36 results about "Sudden death" patented technology

The invention discloses a sudden death risk real-time assessment system and method based on multi-modal physiological signal fusion, relates to the field of human physiological state monitoring and early warning, and solves the problems of low accuracy and poor real-time performance of sudden death risk assessment by single-modal signals. The system comprises a signal acquisition module, a preprocessing module, a high-dimensional feature extraction module, a multi-modal feature fusion module, a sudden death risk quantification module, a model updating engine module and an early warning feedback module, and each module integrates a self-adaptive filtering unit, a time sequence convolutional network unit, an improved multi-head self-attention mechanism unit and the like. According to the scheme, multi-mode signals such as electrocardio are synchronously collected through multiple channels, a dynamic risk index is calculated through self-adaptive noise reduction, parallel extraction of time-frequency domain nonlinear features and mutual information weighted fusion in combination with kernel density estimation, and online incremental updating and multi-stage early warning of a model are achieved; the sudden death risk can be accurately evaluated in real time, the anomaly detection sensitivity and the early warning timeliness are improved, and the method is suitable for daily health monitoring and high-risk group risk management and control.

An artificial intelligence-enabled ECG algorithm system and method thereof are applied in the environment of the identification of patients with ventricular premature contractions (VPC) during sinus rhythm. The present invention of the artificial intelligence-enabled ECG algorithm system and method thereof can provide, a standard 10-second, 12-lead ECGs algorithm based on artificial intelligence for the identification of patients with ventricular premature contractions (VPC) during normal sinus rhythm; and, the ECG algorithm using artificial intelligence can detect some minimal changes in the patient's sinus rhythm ECG without VPC episodes, and can also identify patients having ventricular premature contraction for early treatment to reduce the patent's risk of heart failure or sudden death.

The present disclosure relates to the use of cortisol, cortisone, cortisone acetate, hydrocortisone, fludrocortisone, prednisolone, prednisone, methylprednisolone, Dehydroepiandrosterone (DHEA), dexamethasone, betamethasone, adrenocorticotropic hormone (ACTH), ganaxolone, tetracosactide or combinations thereof for preventing and / or reducing the risk of Sudden Unexpected Death in Epilepsy (SUDEP). The disclosure further provides pharmaceutical compositions and methods for preventing and / or reducing the risk of SUDEP, particularly in Dravet Syndrome patients.

A new blood assay is provided which identifies patients who develop hemorrhage after revascularization therapy based on temporal kinetics of free serum iron levels. This approach overcomes the limitations of gold-standard clinical practice of performing cardiac magnetic resonance imaging, as the latter is not always accessible due to poor availability and a high cost. The blood assay can be a new diagnostic approach to broadly permit classification of myocardial infarction based on hemorrhage status, and to allow for suitable management of hemorrhagic patients, who would otherwise carry a significant risk for heart failure and sudden death.

This application discloses a method, device, storage medium, and equipment for predicting the risk of sudden cardiac death due to arrhythmia, relating to the field of biomedical technology. The method includes: acquiring multi-channel cardiac magnetic signals from a subject; performing fidelity enhancement processing on the multi-channel cardiac magnetic signals to extract core features characterizing the cardiac magnetic field; constructing a topological geometric model of the cardiac fiber plexus; extracting topological invariants of the cardiac electrical conduction system based on the core features and the topological geometric model; conducting non-equilibrium phase transition dynamics detection on the topological geometric model of the cardiac fiber plexus to obtain phase transition features reflecting the stability of the cardiac electrical conduction system; inputting the topological invariants and phase transition features into a preset topological neural network to complete a quantitative analysis of the degree of chaos in the cardiac electrical conduction system; and generating a risk score and early warning indicators for sudden cardiac death due to arrhythmia based on the quantitative analysis results. This application can achieve accurate early warning of the risk of sudden cardiac death due to arrhythmia.

The invention discloses a sudden cardiac death risk prediction method, device and system and a storage medium, and the method comprises the steps: obtaining resting electrocardio data outputted through a plurality of electrocardiogram leads, processing the resting electrocardio data to obtain high-frequency QRS wave group data corresponding to each electrocardiogram lead, and obtaining high-frequency QRS features corresponding to each electrocardiogram lead; determining a lead positive index corresponding to each electrocardiogram lead according to the high-frequency form index corresponding to each electrocardiogram lead; determining whether there is a sudden cardiac death risk based on at least one of a plurality of conditions; and under the condition of determining that the sudden cardiac death risk exists, predicting the sudden cardiac death risk level according to the sum value of the high-frequency form indexes corresponding to the electrocardiogram leads. According to the scheme provided by the embodiment of the invention, the sudden death risk is quantified based on a plurality of (greater than or equal to 12) lead high-frequency form indexes and values reflecting the myocardial injury volume under the qualitative condition of a plurality of risk factors, and the missed diagnosis rate and accuracy can be taken into account.

Processes are provided based on an interventional (device-based) approach to minimize the development of intramyocardial hemorrhage within the myocardial infarction (MI) zone. In one exemplary process, the revascularization occurs in an incremental fashion prior to fully opening the vessel, so as to modulate the hydrostatic pressure transmitted from the proximal end of the catheter, prior to placing a stent. In another exemplary process, the stent will be placed within the central core of the embolization and will slowly expand within the lumen reaching full patency over a period of time. Devices operated with these processes can also greatly reduce the chance of development of intramyocardial hemorrhage with the MI zone. These developments can improve the outcome in hemorrhagic patients, who otherwise carry a significant risk for heart failure and sudden death.

The invention discloses an imidazole derivative as shown in a formula (I), or a salt, a stereoisomer or a nitrogen oxide thereof, and R and R1 are defined in the description. The compound shown in the formula (I) can be used as a reagent for killing harmful microorganisms, and especially has a good effect on fungi causing damping-off.

The invention discloses a heart state detection method and device, equipment and a medium. The method comprises the steps that target electrocardiogram data of a patient to be diagnosed are collected; according to the actual lead number corresponding to the target electrocardiogram data, selecting a target diagnosis neural network model matched with the actual lead number from a plurality of pre-trained standard diagnosis neural network models; the target electrocardiogram data are input into the target diagnosis neural network model, at least one target heart state label determined by the target diagnosis neural network model from a plurality of pre-calibrated heart state labels according to the target electrocardiogram data is obtained, and the at least one target heart state label is used for representing the actual heart state of the patient to be diagnosed. The neural network model is used for automatically analyzing the electrocardiogram data, the states of cardiac hypertrophy, expansion, enlargement and the like can be found in time through the electrocardiogram, heart abnormity can be found in time before symptoms such as heart failure, sudden death and arrhythmia are generated, and a patient can be diagnosed and treated in time.

This invention belongs to the field of cardiac electrophysiological simulation, specifically relating to a method for constructing an electrophysiological model of ventricular myocytes in patients with hypertrophic cardiomyopathy. First, based on a normal cardiac electrophysiological model, the parameters of heterogeneous ion channels with significant pathological characteristics and the kinetic parameters related to calcium circulation are modified. Then, the solution method for some gated variable differential equations is changed to the Rush-Larsen method. Next, a numerical calculation lookup table for cytoplasmic ion concentration (Cai) is added, and upper and lower bounds and step sizes are set. Finally, a solution function module with single-cell-level full electrophysiological characteristics and multi-ion dynamics simulation capabilities is directly loaded and called in Matlab to obtain the electrophysiological model of hypertrophic cardiomyopathy. This invention provides stronger computational support for meeting the precise needs of personalized clinical sudden death risk assessment, pathogenesis research, and drug screening.

The invention discloses a cardiac ion channel disease detection primer group and application thereof. The microfluidic chip and the multi-gene risk assessment model are combined, so that the risk of the cardiac ion channel disease can be assessed for potential patient groups, risk early warning is provided for the potential risk groups, the risk groups are guided to perform medical diagnosis and treatment, the risk of diseases or sudden death caused by the ion channel disease is reduced, and the application prospect is wide.

A system for the prevention of a sudden death syndrome in a user includes a galvanic vestibular stimulator and an audio vestibular stimulator. The system is used in a method for preventing permanent breathing arrest in a user susceptible to a sudden death syndrome by stimulating a vestibular system of the user via at least one of electrical galvanic vestibular stimulation and sound-induced vestibular stimulation using bone conduction.

Disclosed are a sudden cardiac death risk prediction method, device, system and storage medium. The method comprises: acquiring resting electrocardiogram data output through a plurality of electrocardiogram leads, processing the resting electrocardiogram data to obtain high-frequency QRS complex data corresponding to each electrocardiogram lead, and obtaining high-frequency QRS features corresponding to each electrocardiogram lead according to the high-frequency QRS complex data; determining a lead positive index corresponding to each electrocardiogram lead according to a high-frequency morphology index corresponding to each electrocardiogram lead; determining whether there is a sudden cardiac death risk based on at least one of a plurality of conditions; and in the case of determining that there is a sudden cardiac death risk, predicting a sudden cardiac death risk level according to a sum of the high-frequency morphology indexes corresponding to each electrocardiogram lead. The scheme provided in the embodiments of the present application can quantitatively predict the sudden death risk based on the sum of the high-frequency morphology indexes of a plurality of (greater than or equal to 12) leads reflecting the myocardial injury volume in the case of qualitative determination based on a plurality of risk factors, and can take into account the misdiagnosis rate and accuracy.

The present application relates to the treatment and prevention of diseases associated with increased risk of sudden epilepsy death, such as Fragile X Syndrome, by administering a selective 5-HT1A receptor agonist.

The invention relates to the field of traditional Chinese medicine formulas, and discloses a traditional Chinese medicine formula for clearing blood, dissolving thrombus and preventing sudden death, which comprises the following components by mass: 25 g of vinegar-processed rhizoma cyperi, 15 g of angelica sinensis, 6 g of radix bupleuri, 15 g of radix paeoniae alba, 15 g of poria, 6 g of bamboo shavings, 9 g of elecampane, 9 g of magnolia obavata, 15 g of szechwan chinaberry fruit, 15 g of scutellaria baicalensis, 6 g of roasted turtle shell, 10 g of ligusticum wallichii, 6 g of wine-processed rhubarb, 15 g of kudzu vine root, 10 g of fructus aurantii, 6 g of mint, 15 g of hawthorn, 15 g of salvia miltiorrhiza, 15 g of astragalus membranaceus, 15 g of gynostemma pentaphylla, 10 g of ginger, 20 g of jujube and 6 g of honey- The formula disclosed by the invention can be used for overcoming the defects of liver functions and has good effects of clearing blood, dissolving thrombus and preventing sudden death.

The invention discloses application of a reagent for detecting SCN2B and / or SCN4B gene mutation in preparation of a hereditary arrhythmia detection product. According to the present invention, through the dual detection system combining whole exon sequencing with Sanger sequencing verification, the accurate capture of the pathogenic mutation such as SCN2B-R28Q / Y69H / P210L and SCN4B-T211M is achieved, and the problem that only SCN5A is determined as the main pathogenic gene in the clinical diagnosis of J wave syndrome (JWS) at present, and the gene detection of about 70-80% of patients is negative is solved. Wherein the three missense mutations of the SCN2B and the SCN4B-T211M variation are reported in the JWS for the first time, and the SCN4B is clear as the JWS pathogenic gene for the first time, so that the pathogenic gene spectrum of the JWS is obviously expanded. A detection product developed on the basis of the method can realize early accurate diagnosis, provide personalized risk assessment (such as sudden death early warning induced by fever) for patients, guide genetic screening of family members and remarkably improve clinical diagnosis and treatment efficiency.

The invention relates to the technical field of battery safety, and discloses a battery thermal runaway early warning method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a vehicle group feature library which comprises a charging and discharging feature set of at least one vehicle and a state label of the vehicle, and the state label is used for representing whether the vehicle is a thermal runaway vehicle; screening a target charging and discharging feature associated with the state tag from the charging and discharging feature set of each vehicle; and calculating an abnormal score of the vehicle based on the outlier degree between the target charging and discharging characteristics of the vehicle and the vehicle group characteristics in the vehicle group characteristic library, and performing risk early warning operation on the vehicle based on the abnormal score. According to the method, the problems that in existing sudden death type thermal runaway early warning, due to the fact that vehicle end signals such as single voltage are not obviously abnormal, a traditional model depends on the historical characteristic evolution trend of a single vehicle and single threshold setting, and the characteristic association between the single vehicle and a vehicle group is ignored, risk characteristics cannot be effectively captured are solved.

The present application relates to a kit for predicting whether a subject has a cardiovascular disease, particularly a cardiovascular event, and to the use of a reagent for determining the level of a biomarker in a biological sample in the preparation of the kit. The biomarker of the present application can be used to predict the risk of cardiovascular disease, particularly cardiovascular events (such as acute myocardial infarction, acute heart failure, acute cerebral infarction, and sudden death) in a subject (such as a subject with diabetes).

The application discloses application of a reagent for detecting SCN2B and / or SCN4B gene mutation in preparation of a genetic arrhythmia detection product. Through a double detection system of whole exon sequencing combined with Sanger sequencing verification, the application realizes accurate capture of pathogenic mutations such as SCN2B-R28Q / Y69H / P210L and SCN4B-T211M, and solves the difficulty that only SCN5A is confirmed as a main pathogenic gene in the current clinical diagnosis of J wave syndrome (JWS), and about 70%-80% of patients have gene detection negative. The three missense mutations of SCN2B and the SCN4B-T211M variation are reported for the first time in JWS, and SCN4B is confirmed as a pathogenic gene of JWS for the first time, which significantly expands the pathogenic gene spectrum of JWS. The detection product developed based on this can realize early accurate diagnosis, provide personalized risk assessment (such as early warning of sudden death induced by fever) for patients, and guide genetic screening of family members, and significantly improves the clinical diagnosis and treatment efficiency.

The invention relates to the technical field of first-aid monitoring and early-warning, in particular to a sudden death first-aid monitoring and early-warning method, system and equipment based on multi-source data and a medium. The method comprises the steps that baseline data of a patient with coronary heart disease, real-time data of electrocardiogram monitoring equipment, first-aid dispatching data, hospital diagnosis and treatment data and vital sign monitoring data are collected; integrating the multi-source data through a standardized interface and a data cleaning algorithm to form a unified database; analyzing the integrated data, and predicting the risk value of the sudden death risk of the coronary heart disease patient by constructing a sudden death risk prediction model; screening out middle and high risk groups based on the predicted risk value, and sending early warning information to patients, family members and community medical institutions when the risk value exceeds a set threshold value; middle-high risk groups are screened out in time, early warning is triggered, first-aid time is won for patients, and the sudden death occurrence rate is reduced.

The invention discloses a sudden death risk detection method and device based on head and neck videos of a target person. The method comprises the following steps: acquiring a video dot matrix vibration image of the head and neck of the target person for a set time length through setting software and a camera of a detection system; performing data processing on the video dot matrix vibration image to obtain dot matrix vibration frequency data in the video dot matrix vibration image; comparing the obtained dot matrix vibration frequency data with a basic characteristic model library in a detection system, and outputting a comparison result; and generating a sudden death risk assessment report of the target person according to the comparison result. According to the method, the head and neck videos of the target person are collected and processed, the dot matrix vibration frequency data are obtained, and the sudden death risk assessment report of the target person is generated after comparison and analysis, so that the potential risk of the body of the target person can be directly and quickly assessed, and the purposes of early discovery, early intervention and treatment are achieved.

The invention relates to the technical field of implantable medical electronic instruments, and discloses an integrated defibrillable cardiac contraction force adjusting system which comprises a signal acquisition end, a rhythm analysis end, a treatment execution end, a cooperative control end and an energy management end. A closed-loop treatment system of rhythm perception-systole enhancement-defibrillation protection is formed, and the system aims at solving the dual problems of sudden death risk and progressive heart function deterioration faced by chronic heart failure patients for a long time through three cooperative mechanisms of real-time monitoring of myocardial electrical activity, intelligent adjustment of heart blood pumping capacity and instantaneous intervention of fatal arrhythmia. The system improves the signal fidelity, and has the technical feature associated clinical values of energy dynamic compensation, a remote early warning mechanism and a time division multiplexing architecture.

Electrical stimulation rehabilitation physiotherapy equipment relates to the technical field of medical instruments and comprises a physiotherapy mechanism, the physiotherapy mechanism comprises a chair seat, the chair seat comprises a seat surface, a left armrest and a right armrest are arranged on the two sides of the seat surface respectively, and an electrical stimulation system is integrated in the left armrest and / or the right armrest. According to the invention, electrical stimulation rehabilitation physiotherapy, first-aid functions and mobile auxiliary functions are integrated, and comprehensive requirements of the old and the disabled are met. The equipment has three modes of driver positioning and one-key home returning, surrounding sharing positioning and care alarm positioning, and the safety and practicability of the equipment are improved. The equipment is integrated with an AED first-aid function, and can perform defibrillation and cardio-pulmonary resuscitation in time when sudden cardiac arrest occurs to nearby people, so that sudden death is effectively prevented.

The invention relates to a method for establishing an electrocardiosignal real-time sequence prediction system, which comprises the following steps of: modeling a complex relationship among lead measuring points, and learning a complex time dynamic relationship among operation data and states of 32 measuring points with the highest electric signal conduction correlation degree between a specific structure and cells in the heart of a patient; the accurate prediction of the cardiac activity key electric signal parameters of the specified measuring point in a certain time period in the future is very important for finding risks such as potential arrhythmia, preventing sudden myocardial infarction death and ensuring the health state of a patient. The trained long-short-term memory network model is deployed in clinical application, continuous learning and updating can be carried out according to new real-time data to adapt to evolution and change of the system, and compared with manual operation possibly affected by subjective judgment, fatigue and errors, the prediction system provided by the invention carries out prediction based on historical data, and the prediction efficiency is greatly improved. The method has the advantages of short time consumption and high efficiency, and reduces the influence of subjective factors on the prediction result, thereby reducing the potential risk of human errors.

Method for non-intrusive, needle-free detection of severe hypoglycemia onset through assessment of the cerebral arteriovenous oxygen difference. The method primarily pertains to the treatment of high-risk younger patients with Type 1 Diabetes Mellitus (T1DM) experiencing nocturnal hypoglycemia in order to prevent so called “Death in Bed” syndrome-the sudden death of young diabetic patients without any history of long-term complications.

The invention belongs to the field of biology, and discloses swine A type clostridium perfringens SP20 capable of secreting and expressing high-level alpha toxin, which is preserved in the China Center for Type Culture Collection (CCTCC) with the preservation number of CCTCC NO: M 2025386. The strain has strong pathogenicity to medium and large pigs, and can be used for establishment of a pig challenge model and efficacy evaluation of a pig A-type clostridium perfringens vaccine. The invention further discloses a vaccine for preventing intestinal flatulence and sudden death of medium and large pigs caused by the A-type clostridium perfringens. The vaccine comprises the alpha toxin generated by the SP20 strain. The invention fills the blank of the disease model of intestinal flatulence and sudden death of middle and large pigs, and is beneficial to control of disease infection and reduction of economic loss of breeding industry.

The application provides a biomarker combination specific to coronary sudden death and application and products thereof, and belongs to the technical field of forensic science.The biomarker combination comprises ascorbic acid, docosahexaenoic acid, carnitine, glutamine and norleucine.The biomarker combination is significantly changed in serum samples of individuals with coronary sudden death, and after ROC verification, shows good diagnostic performance, indicating that it has the potential to be applied to forensic identification of coronary sudden death.The potential application value of the non-targeted metabolomics strategy of the application in difficult and complex death cause identification provides a new idea for molecular diagnosis of death cause investigation.

The present application relates to a kit for predicting whether a subject has a cardiovascular disease, particularly a cardiovascular event, and to the use of a reagent for determining the level of a biomarker in a biological sample in the preparation of the kit. The biomarker of the present application can be used to predict the risk of cardiovascular disease, particularly cardiovascular events (such as acute myocardial infarction, acute heart failure, acute cerebral infarction, and sudden death) in a subject (such as a subject with diabetes).

The embodiment of the invention relates to the technical field of sudden death early warning, in particular to a sudden death early warning method, a breathing machine and a controller. The method comprises the steps of obtaining a breathing flow signal and a heart rate to-be-detected signal of a user, calculating the breathing frequency and the tidal volume according to the breathing flow signal, determining that the user enters a sleep state based on the breathing frequency and the tidal volume, detecting the breathing flow signal based on a pre-training model to obtain a target sleep time period, the pre-training model is used for detecting turning over and snoring behaviors of a user, acquiring a heart rate prediction signal corresponding to a target sleep time period, calculating a real-time heart rate according to the heart rate prediction signal, and sending alarm information when the real-time heart rate exceeds a heart rate early-warning threshold value in response. According to the embodiment of the invention, the sleep state of the user can be determined through the respiratory rate and the tidal volume, non-contact heart rate detection is realized by using the millimeter wave radar sensor, sudden death early warning is realized, the heart rate monitoring accuracy is improved while the comfort of the user is guaranteed, and the method is suitable for family health monitoring scenes.

The invention relates to the technical field of mouse application, in particular to a sudden death prevention mechanism system applied to a mouse, a target user uses a mouse body, and heart rate data of the target user are collected in real time through a heart rate monitoring module; the heart rate data is accurately associated with the personal heart rate file of the authenticated target user through face recognition or identity information verification based on a user identity management module, and meanwhile, the real-time heart rate data of the target user is monitored through a heart rate anomaly detection module; whether the real-time heart rate data indicates the arrhythmia attribute of the user or not is judged according to the preset heart rate detection threshold value, a preset sudden death prevention treatment means is triggered through the emergency response processing module based on the specific type of the arrhythmia attribute of the user, and sufficient time can be provided for rescue of a target user so as to deal with sudden death emergencies.