135 results about "Cardiorespiratory arrest" patented technology

The invention relates to a cardiac arrest risk grade prediction method and system based on a fuzzy logic method, and the method comprises the steps: obtaining real-time vital sign data of a patient, the real-time vital sign data comprising at least one of heart rate, blood pressure, oxyhemoglobin saturation and respiratory rate; on the basis of the real-time vital sign data, feature selection and importance evaluation processing are carried out through a machine learning algorithm, and target features most related to the sudden cardiac arrest risk are obtained; performing fuzzification processing based on fuzzy C-means clustering on the basis of the target features so as to convert the accurate numerical data into a fuzzy set; according to a fuzzy logic principle, in combination with a case-based reasoning method, performing matching calculation on the fuzzy set and known sudden cardiac arrest case characteristics to obtain a sudden cardiac arrest risk level; based on the cardiac arrest risk level, risk level evaluation is carried out, and a corresponding early warning mechanism is triggered. The implementation of the method can improve the accuracy and comprehensiveness of prediction.

The invention discloses a donor heart preservation method based on a crystal cardioplegic solution (CC solution) and a UW solution and application of the donor heart preservation method, and belongs to the field of biomedical engineering. The method comprises the following steps: (a) preparing CC liquid; (b) perfusing CC liquid through the aorta at the pressure of 150mmHg for 3-5 minutes to cause cardiac arrest; (c) taking out the heart, and performing secondary perfusion with 2000ml of 4 DEG C UW solution for 8-12 minutes; and (d) immersing the heart into a UW solution for cold preservation, wherein the cold ischemia time is less than or equal to 8 hours. In combination with a CC liquid perfusion step, the protection effect of the cold preservation liquid is remarkably improved by reducing the metabolic rate of cardiac cells; through double perfusion of CC liquid and UW liquid, optimization of metabolic balance and effective inhibition of inflammatory response are realized in the cold storage process of the heart; the invention has the functions of prolonging cold ischemia time and keeping heart cells, and provides a new technical means for long-time cold preservation.

The system provides a real-time video and audio communication with a 911 call center to perform effective CPR on a patient experiencing OHCA with real-time monitoring and feedback. The system includes a Mobile App that communicates with a smart phone with camera, a wireless remote-CPR equipment stand and emergency CPR kit. The mobile app will automatically send a link to a caregiver's cell phone responsive to a 911 call placed by the caregiver, to establish a secured video call via which the 911 center can guide the caregiver in performance of CPR until an ambulance arrives. This integrated description provides a comprehensive overview of the AI-driven CPR guidance system, detailing its core components, operational workflow, training processes, and scalability. By combining real-time coaching, advanced diagnostics, and EMS coordination, the system offers a groundbreaking approach to improving OHCA outcomes.

The present invention discloses a dynamic early warning system for cardiac arrest based on multimodal data fusion, belonging to the field of medical information technology. Specifically, it includes: a non-contact sensing module for continuously acquiring the physiological parameters of a user based on non-contact devices; an active wearing module for starting the acquisition of contact physiological parameters when the user actively triggers the wearing device; a scene adaptive module for constructing a physiological parameter baseline only based on non-contact sensing data when the wearing device is not triggered; when the user triggers the wearing device, cross-verifying the contact data and the non-contact data and correcting the calibration parameters of the non-contact data; a risk decision module for starting a forced verification process of contact data when the non-contact detection detects an abnormal heart rate; if the verification fails or there is no response, generating a corresponding risk level early warning based on the continuous abnormal duration and the fluctuation pattern; the present invention realizes dynamic early warning based on multimodal data.

The invention provides an epinephrine automatic injection patch and method for cardiovascular first aid, and the injection patch comprises a flexible biosensing layer which obtains the subcutaneous impedance value and vital sign parameters of a patient; the microneedle array is used for adjusting the penetration depth based on the subcutaneous impedance value and controlling the deformation quantity through a piezoelectric actuator; the micro-fluidic pulse drug delivery module is connected with the micro-needle array and is used for executing pulse type drug injection according to the penetration depth; and the control module is used for judging an autonomous circulation recovery state based on the vital sign parameters and triggering the microfluidic pulse administration module to stop injection. According to the application, by constructing a first-aid closed loop of'multi-mode physical sign dynamic monitoring-self-adaptive microneedle administration-ROSC intelligent termination ', the response speed of epinephrine injection is increased, the bioavailability is improved, the risk of excessive medication is reduced, and the gold rescue efficiency and the neurological function prognosis rate of pre-hospital cardiac arrest patients are remarkably improved.

The disclosed physiological feedback systems and methods assist with assessing, monitoring and / or treating a patient experiencing a cardiac arrest event. The systems and methods receive multiple inputs and are continuous and / or iterative during a treatment session to provide physiological state trends of the patient. An index of the physiological state of the patient can be derived and confounders, and / or their effects, can be identified, and / or removed, from the index. Additionally, the systems and methods can assist with determining ischemic injury in a patient based on cerebral tissue oxygenation and / or other physiological data.

The invention relates to the technical field of cardiology department medical devices, and discloses a cardiology department thoracic cavity monitoring first-aid device which comprises a shell, the shell is worn on the chest of a patient through a chest bandage, an external chest compression mechanism is arranged on the shell, and the external chest compression mechanism comprises a first air bag arranged at the bottom of the shell; the shell is connected with an electrode plate for monitoring the respiration and the heart rate of a patient; a rotating disc is rotationally arranged on the shell, an inflation assembly is arranged on the rotating disc, a first air vent is formed in the rotating disc, a second air vent and a communicating groove are formed in the shell, and the second air vent communicates with an inner cavity of the first air bag through the communicating groove. According to the thoracic cavity monitoring and first-aid device for the department of cardiology, through a simple wearing device, when breathing and cardiac arrest of a patient are monitored, first-aid measures of cardio-pulmonary resuscitation can be automatically carried out, autonomous circulation and autonomous breathing are promoted, vital signs of the patient are helped to be gradually recovered, and irreversible damage to the brain and the body of the patient is avoided.

The invention discloses a sudden cardiac arrest dynamic early warning system based on multi-modal data fusion, and belongs to the technical field of medical information, and the system specifically comprises a non-contact sensing module which is used for continuously obtaining physiological parameters of a user based on a non-contact device; the active wearing module is used for starting contact type physiological parameter acquisition when a user actively triggers the wearable equipment; the scene self-adaption module is used for constructing a physiological parameter base line only based on the non-contact sensing data when the wearable equipment is not triggered; when the user triggers the wearable device, performing cross validation on the contact data and the non-contact data, and correcting calibration parameters of the non-contact data; the risk decision module is used for starting a contact type data forced verification process when the heartbeat frequency is detected to be abnormal in a non-contact manner; if verification fails or no response is made, corresponding risk level early warning is generated based on the continuous abnormal duration and the fluctuation mode; according to the invention, dynamic early warning is realized based on multi-modal data.

A portable emergency response kit designed for rapid intervention in opioid overdose or cardiac arrest scenarios comprises a durable case with compartments for specific medical devices, such as opioid overdose treatment medication or an Automated External Defibrillator (AED). The case features a breakable closed circuit that is, upon opening, triggered to send a signal to notify emergency medical services (EMS) or predefined contacts of the kit's location.The system utilizes GPS module and may include dual-mode communication capabilities for reliable alert transmission in various environments. Additional features may include a transparent case material for visual confirmation of contents, tamper-evident seals, QR codes linked to instructional content, and a battery power source. The kit is designed to be user-friendly, incorporating ergonomic elements and optional accessories for enhanced portability and storage, ensuring rapid and effective response in critical situations.

The invention discloses a construction method and application of a neurological function prognosis prediction model after cardio-pulmonary resuscitation, and the method comprises the steps: obtaining clinical data of a patient reaching spontaneous circulation recovery after cardio-pulmonary resuscitation, and screening a clinical patient meeting a discharge standard; taking brain function classification as dependent variables, respectively adopting an LASSO regression analysis method and a Boruta feature screening method to screen feature variables, and selecting common feature variables; constructing a plurality of machine learning models based on the common feature variables, and drawing an ROC curve and a decision curve corresponding to each machine learning model; carrying out discrimination evaluation on the machine learning model by adopting AUC, evaluating clinical benefits of the machine learning model by adopting a decision curve, and screening an optimal prediction model; and explaining the optimal prediction model and the common feature variables by adopting an SHAP tool. The prediction model constructed by the invention can conveniently and quickly predict the prognosis condition of the neurological function within 24 hours after sudden cardiac arrest and resuscitation.

The present application discloses an intelligent method and system for quickly getting an AED to an emergency scene, a device, and a medium. The method comprises: acquiring distress call information of an emergency event and the geographical location of an emergency scene; performing first AED search range calculation, second AED search range calculation and third AED search range calculation; and AED delivery personnel getting an available AED from an available AED location corresponding to the fastest AED access plan and delivering the AED to the emergency scene. The system comprises an emergency mobile terminal, an intelligent AED device and an emergency cloud platform. The use of the plan in the present application can provide a good solution for passersby to participate in cardiac arrest first aid, accurately, scientifically and effectively allowing passersby to participate in cardiac arrest first aid; moreover, the possibility of passersby responding can gradually increase with the popularization and application of AEDs, providing another boost for patients to receive timely medical treatment, thereby further ensuring the life safety and health protection of patients.

1. Name of the Design Product: Display Module of Electrode Pad for External Defibrillator. 2. Use of the Design Product: Electrically connected to a defibrillation device, attached to the human body surface to assist the operator in rescuing a patient with cardiac arrest symptoms, and at the same time display the effective use date of the electrode pad. 3. Design Key Points of the Design Product: Lies in the shape of the claimed part. 4. Picture or Photograph Most Indicating the Design Key Points: Perspective View. 5. Other Circumstances Requiring Explanation: Other Explanation: The area covered by blue in this design product represents the content not protected by this case.

The invention discloses a medical double-core-layer pressure-resistant sensing balloon and a preparation method thereof.The medical double-core-layer pressure-resistant sensing balloon comprises a balloon body connected with a catheter, the balloon body is of a double-core-layer shell layer structure, and a core layer comprises a developing and pressure sensing double-core structure; a developing agent is loaded in the inner core layer balloon, the position of the balloon is effectively displayed, it can be guaranteed that the core layer is not affected after the outer layer is damaged, the inner layer and the other core layer balloon can synchronously conduct pressure sensing, and the shell layer is a compression layer with toughness and bursting pressure and can be coated with a medicine coating. According to the medical double-core-layer high-pressure-resistant balloon provided by the invention, through the design of the internal double core layers, accurate control of pressure is effectively realized, and the problem that a developing agent leaks out of the brain after the outer layer of the balloon is broken in a trigeminal nerve minimally invasive puncture balloon compression operation is prevented; and by controlling the surface roughness of the outer layer, medicine coating can be carried out, so that vagus nerve reflex is prevented, and the problem of high risks of sudden blood pressure rise and sudden heartbeat arrest caused by compression in the operation process is solved.

A cardiopulmonary resuscitation education method based on an application specialized for schools, according to the present invention, comprises the steps of: when a patient in cardiac arrest is found within a school, transmitting, by a person who has first found the patient, a rescue request to an emergency medical response team (SMART) through an application installed on his or her terminal; displaying a rescue request notification on a terminal of each team member of the SMART; automatically assigning, by an emergency procedure model, a main role and a plurality of sub-roles on the basis of the distance from the patient; transmitting a rescue request to team members who are a certain distance or more away from the patient; and providing a step-specific emergency procedure method for each of the main role and the sub-roles in real time through image, speech, and subtitle guidance.

An automated external defibrillator (AED) management system includes an AED information database including location information for a plurality of AEDs, and contact information for notifying an owner or administrator of a respective AED. The system further includes a notification system communicatively coupled to the AED information database, the notification system configured to receive a request to alert responders in a vicinity of a cardiac arrest victim, receive a location of the cardiac arrest victim, identify at least one AED located in the vicinity of the cardiac arrest victim from the location information for the plurality of AEDs, provide an alert to the owner or administrator of the at least one AED located in the vicinity of the cardiac arrest victim based on the contact information, wherein the alert comprises a request for the owner or administrator to bring the AED to the location of the cardiac arrest victim.

The invention relates to a sudden cardiac arrest treatment device based on an ultrasonic Doppler feedback technology, and belongs to the field of medical instruments. The cardiac arrest treatment device based on the ultrasonic Doppler feedback technology comprises a first monitoring module used for monitoring the blood flow condition of the neck blood vessel of a target organism; and / or the second monitoring module is used for monitoring the blood oxygen condition of the neck blood vessel of the target organism; the acquisition module is used for acquiring blood supply and / or oxygen supply of the target organism according to the blood flow condition and the blood oxygen condition; the system comprises a blood supply module, a cardio-pulmonary resuscitation pressing module, and / or a ventilation module, and / or a defibrillation module, and the cardio-pulmonary resuscitation pressing module is used for adjusting the pressing depth or pressing frequency according to blood supply and / or oxygen supply; the ventilation module is used for adjusting the ventilation frequency in the cardio-pulmonary resuscitation pressing process according to blood supply and / or oxygen supply; the defibrillation module is used for executing defibrillation operation under the condition that the defibrillable heart rhythm exists. According to the technical scheme, the treatment rate can be increased, and the cardiac arrest treatment quality can be improved.

The invention relates to novel liquid body temperature circulation temperature control equipment, and belongs to the technical field of medical temperature control equipment. The device comprises an equipment base, a temperature control host, a stand column, a T-shaped installation frame, a pipeline assembly, a temperature control assembly and a temperature sensing assembly, the stand column is fixedly installed above the equipment base, the temperature control host is installed on one side of the stand column, the T-shaped installation frame is fixedly installed above the stand column, a lifting hook is installed below the T-shaped installation frame, and the pipeline assembly is installed above the lifting hook. The temperature control assembly is fixedly installed on one side of the temperature control host, and the temperature sensing assembly is installed on one side of the lower portion of the temperature control host. The temperature control equipment monitors the pipeline output temperature and the core body temperature of a patient in real time through the temperature sensing assembly, the temperature control host adjusts the temperature control power in a closed-loop feedback mode based on monitoring data, accurate, rapid and stable temperature control is achieved, the equipment is suitable for various clinical scenes needing mild hypothermia intervention such as thermoplegia and the syndrome after cardiac arrest, treatment safety and effectiveness are improved, and the treatment cost is reduced. And the workload of medical staff is reduced.

The invention system is a wearable device that detects an impending or onset of cardio-respiratory arrest and remediates the condition by injecting an appropriate reversal drug depending upon the drug that triggered the arrest. It can detect and remediate arrests caused by drugs such as opioids, benzodiazepine or alcohol. Using self-test and other checks, it ensures that the system is operationally ready and that no near-expiration or expired drug is administered.

The invention discloses an application of N6022 in improving brain injury after cardiac arrest resuscitation, and particularly relates to an application of N6022 or a derivative thereof given through a nose in improving the brain injury after cardiac arrest resuscitation and increasing the survival rate after cardiac arrest resuscitation. Compared with the prior art, the application has the advantages that the increased GSNOR enzyme activity of brain tissues after sudden cardiac arrest resuscitation can be effectively inhibited by nasal injection of N6022 into a sudden cardiac arrest resuscitation rat model; the N6022 can effectively improve the neurological function after cardiac arrest resuscitation and increase the survival rate after cardio-pulmonary resuscitation; n6022 is used for inhibiting the activity of GSNOR, so that the number of survival neurons of brain tissues after sudden cardiac arrest resuscitation can be increased; the delivery mode of the N6022 through the nose can effectively enable the N6022 to enter the brain tissue of the rat. According to the invention, a new application field of N6022 is developed, and a meaningful reference is provided for improving the cerebral function after sudden cardiac arrest resuscitation.

A multimodal optical imaging platform is used to obtain cerebral perfusion-metabolism mismatch metrics for rapid assessment of acute brain injury, ongoing (real-time) feedback to optimize cardiopulmonary resuscitation to improve neurological outcome, and rapid prognosis of recovery. Light of several wavelengths and types is delivered to the tissue, which is then absorbed and scattered by tissue components such as blood and cellular components. Some of this light scatters back to the surface, where it is captured by a detector. The resulting data are processed to obtain blood flow and oxygenation parameters, as well as tissue scattering. These parameters are then combined to calculate metabolism and flow-metabolism coupling / decoupling metrics, which are used to determine ischemic damage, ongoing need for optimal blood flow and oxygenation, and to predict cerebral recovery in patients with acute brain injury during and immediately after cardiac arrest, stroke, traumatic brain injury, etc.

A method is provided for predicting a neurological outcome of a patient post-cardiac arrest. The method includes obtaining, on a processor, first data that indicates values for two or more neurological biomarkers collected from the patient during a first time period following a cardiac arrest. The method also includes obtaining, on the processor, subsequent data that indicates values for the two or more neurological biomarkers collected at a subsequent time period after the first time period following the cardiac arrest. The method also includes determining, on the processor, third data that indicates a prediction of a neurological outcome of the patient during a treatment of the patient based on the first data and the subsequent data. A system is also provided for using a composite score that is formed with the combined use of the values for two or more biomarkers making a prediction of a neurological outcome of a patient post-cardiac arrest.

The application discloses an emergency monitoring system and method integrating vital sign monitoring and automatic defibrillation applied to the field of medical devices, which first fuses three vital sign data of heart rate, blood pressure and blood sugar with AED heart rhythm analysis data, reduces single data misjudgment rate through an AI algorithm, realizes accurate prediction of high risk of cardiac arrest, realizes whole-process automation of'monitoring-prediction-defibrillation-help', compresses the golden 4-minute rescue time to 1-2 minutes, and greatly improves the survival rate of cardiac arrest patients; voice guidance+one-key SOS operation, non-professionals can quickly complete first aid, and the risk of operation failure is avoided; a multi-vital sign fusion algorithm is combined with AI technology, single data misjudgment rate is reduced, and high risk of cardiac arrest is predicted in advance; data is synchronously transmitted to a 120 dispatch center through a whole-link, patient information and position are acquired in advance, and the response time of first aid personnel is shortened; automatic self-checking and double power supply mode ensure that the equipment is available all day long, and equipment failure, loss and other problems are avoided.

The invention relates to an app-based first responder alerting system and a method for optimizing the alerting and dispatch of first responders in emergencies, particularly cardiac arrests. It coordinates registered first responders based on their predicted arrival times at the emergency site, utilizing location and transportation data to determine or anticipate these arrival times based on the individual travel times of the first responders. The first responder alerting system assigns specific emergency tasks to the responders. This significantly reduces the time until life-saving measures begin, thereby increasing the chances of survival and improving the efficiency of emergency assistance.

An automatic calculation method of gray-to-white-matter ratio for head computed tomography of patients with cardiac arrest is disclosed and includes an image registration step, a K-means segmentation step, a segmentation refinement step and a GWR calculation step. Measure the gray-white-matter ratio through brain computed tomography early after cardiac arrest to automatically identify the corpus callosum, caudate nucleus, putamen, and posterior branch of the internal brain cyst. It is a 3D three-dimensional structure rather than a manually selected flat circular area to evaluate the effectiveness of predicting neurological prognosis at discharge.

1. Name of the design product: Electronic device with a graphical user interface for a crisis / non-crisis physiological data classification and processing device. 2. Use of the design product: For an electronic device. 3. Design key points of the design product: Lies in the interface graphic design. 4. Picture or photo that best shows the design key points: Front view. 5. There are no design key points in other views, so other views are omitted. 6. Use of the graphical user interface: The graphical user interface can be used in an electronic device for interactive operations such as optimizing, classifying crisis / non-crisis, and displaying crisis handling of physiological data of management objects from multiple devices. The front view is used to display various crisis states. According to the instrument monitoring results, the crisis states to be processed are marked. Click the "Severe hypotension" icon in the front view to enter the interface change state diagram 1. Click the "Refer to [Cardiac arrest]" icon in the interface change state diagram 1, and then jump to the interface change state diagram 2; click the "Refer to [H's]" icon in the interface change state diagram 2, and then jump to the interface change state diagram 3. 7. Other situations that need to be explained: This application is a divisional application of the application with the application number 202230367750.8 and the invention name "Display screen panel with a graphical user interface for a physiological data classification and processing device", which was submitted to the China National Intellectual Property Administration on June 15, 2022.

The invention pertains to a therapeutic formulation, CARDIOGARDIA, for the management of cardiac arrest. The formulation co-formulates selected microRNAs, including miR-21, miR-1, miR-29, miR-17, and miR-133, and antithrombin and essential electrolytes in a single formulation. The different components in combination target various pathological processes associated with cardiac arrest, including fibrosis, apoptosis, arrhythmia, and coagulopathy. Delivery may be affected by suitable pharmaceutical vehicles or carriers to enable effective delivery. By acting on these distinct pathological processes in combination, the formulation provides a multifaceted approach to stabilizing cardiac function and improving resuscitation outcome. The invention further encompasses methods of treating subjects experiencing cardiac arrest by administering the formulation in therapeutically effective amounts.

The invention relates to the technical field of medical first aid, in particular to an intelligent AED trigger system which comprises a data acquisition and sensing unit, an intelligent matching and decision unit, a communication transmission unit, an actuator unit and a feedback and learning unit. Standardized data is generated through a work order creating module to guarantee integrity and traceability, high-precision position sensing is achieved by means of multi-source positioning, risk grading is completed through information preprocessing, an optimal AED operator is accurately screened through a distributed database and a multi-dimensional self-adaptive matching algorithm, a scheduling sequence is dynamically generated, and the accuracy and reliability of the system are improved. The AED scheduling response speed, the matching accuracy and the rescue operation specialty are remarkably improved, and the rescue timeliness and the success rate in emergency scenes such as sudden cardiac arrest are effectively guaranteed.

The invention belongs to the technical field of defibrillators, and discloses a wearable external defibrillator and a control method, a defibrillation electrode comprises an electrode base and a detachable long-acting defibrillation electrode slice, and the one-time pasting use time of the electrode slice is 7-15 days. Wherein the integrated host is used for mounting an LL defibrillation electrode slice by virtue of a base; a detachable RA defibrillation electrode plate is hung on the RA defibrillation electrode base; and the RA defibrillation electrode base is connected to the integrated host through the RA defibrillation electrode cable. The LL defibrillation electrode and the RA defibrillation electrode are both provided with a plurality of sub-electrode units, and each sub-electrode unit is composed of a metal female buckle fixed to the base, a metal male buckle fixed to the electrode slice and conductive gel. The integrated host collects electrocardio and vital sign parameters of a wearer in real time through the LL defibrillation electrode and the RA defibrillation electrode, monitors whether sudden cardiac arrest happens to a patient or not, and conducts defibrillation discharge treatment on the wearer through the LL defibrillation electrode and the RA defibrillation electrode when it is confirmed that sudden cardiac arrest happens.

A defibrillator for customizing cardiac therapy treatment of a patient while a responder is administering cardiopulmonary resuscitation (CPR) to the patient's heart. During operation, the defibrillator monitors an electrocardiogram (ECG) waveform of the patient's heart while the responder is administering CPR to the patient's heart. When the ECG waveform monitored by the defibrillator while the responder is administering CPR to the patient's heart indicates a shockable rhythm of the patient's heart, the defibrillator derives a treatment advisory from the quality of the CPR administered to the patient's heart by the responder, the vitality of the shockable rhythm of the patient's heart, and optionally other factors.

This invention relates to the field of information processing technology, and in particular to a multimodal prediction method and system for out-of-hospital cardiac arrest risk. The method uses out-of-hospital cardiac arrest patients receiving pre-hospital emergency care as the case group and patients with non-OHCA (Out-of-Hospital Cardiac Arrest) incidents as the control group. Risk influencing factors are extracted to form static features. Simultaneously, meteorological data is collected, time windows are set, and cumulative and fluctuating features are quantified. These two types of features are fused into a feature matrix. After multi-model training and selection of the optimal model, the probability of out-of-hospital cardiac arrest can be accurately predicted based on real-time data. This invention integrates static clinical features and dynamic meteorological features, quantifies the cumulative and fluctuating impact of meteorological factors, and constructs a multimodal prediction model that can capture short-term regional risk fluctuations in real time. This invention can also accurately identify high-risk individuals, improve prediction reliability, and perceive risk trends in advance. Furthermore, the data is readily available, highly adaptable, and easy to promote and apply on a large scale.