87 results about "Cardiorespiratory arrest" patented technology

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 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.

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.

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 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.

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.

The invention relates to a device for assisting a first aider with a cardiopulmonary resuscitation of a person suffering cardiac arrest, comprising a transport housing (1), in which a sensor apparatus (4) and two adhesive electrodes (2), which are or can be connected to the sensor apparatus (4), can be stowed. The sensor apparatus (4) allows data to be acquired while the first-aid measures for resuscitation are performed. The sensor apparatus (4) comprises an adhesive (5) for attachment to the chest of the patient (3). The chest compressions, i.e. depth of compression and compression frequency, can be detected by means of a motion sensor. An interface for data transfer allows wireless communication with a mobile terminal (6). Furthermore, the sensor apparatus (4) contains a high-voltage store so that, after connection to the adhesive electrodes (2), a single defibrillation shock can be delivered.

1. The name of the product under this design: Automated External Defibrillator. 2. The purpose of this design product: to perform defibrillation on patients with cardiac arrest. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The present invention discloses an emergency multi-purpose first aid transport vehicle, comprising a support frame, a bed board fixedly mounted on the top of the support frame, a mattress mounted on the top of the bed board, universal wheels fixedly mounted at the four corners of the bottom of the support frame, a control module fixedly mounted on the side of the upper end of the support frame, a battery fixedly mounted on the bottom of the support frame, the battery being electrically connected to the control module, and a flipping and moving mechanism being arranged at one end of the support frame and the bed board. The emergency multi-purpose first aid transport vehicle can enable patients with cardiac arrest and respiratory arrest to undergo effective cardiopulmonary resuscitation during transportation, maintain the patient's vital signs, extend the survival time window, and provide more opportunities for restoring normal heart function, and can also enable the transport vehicle to move on its own, reducing the effort required by people to push the transport vehicle to move, so that the transport vehicle can provide efficient transportation at night or when there is a shortage of manpower, thereby improving the efficiency of patient transportation.

A defibrillator for customizing a cardiac therapy treatment of a patient during cardio-pulmonary resuscitation (CPR) of the patient's heart by a viewer. In operation, the defibrillator monitors the ECG waveform of the patient's heart during cardiopulmonary resuscitation of the patient's heart by the eyeballer. When the ECG waveform monitored by the defibrillator indicates a shockable rhythm of the patient's heart during CPR performed by the eyeballer on the patient's heart, the defibrillator derives treatment suggestions as a function of the quality of CPR performed by the eyeballer on the patient's heart and the vitality of the shockable rhythm of the patient's heart, and optionally from other factors.

1. Name of the product in this design: Cardiopulmonary resuscitation machine. 2. Purpose of this design: This design is intended for use in providing external chest compressions to patients experiencing acute cardiac arrest. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present invention relates to a pharmaceutical use, of a compound of formula I or a salt thereof, for improving mortality, neurological impairment, and / or daily activity in patients with resuscitated cardiac arrest receiving target temperature management (TTM) for maintaining a temperature between about 32°C and about 36°C, patients with ischemic or hemorrhagic stroke receiving TTM, patients with traumatic brain or spinal cord injury receiving TTM, or patients with hypoxic-ischemic encephalopathy receiving TTM.

1. The name of the product under this design: External Defibrillator. 2. Purpose of this design product: This design product is used to assist the operator in performing external defibrillation on patients with symptoms of cardiac arrest. 3. The design highlights of this design product lie in the shape, color and combination of the product shown in Design 1 in the figure; and the shape of the product shown in Design 2. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design. 6. Other circumstances that require explanation: The design for which protection is requested includes color.

According to an embodiment of the present disclosure, a method, program, and device for predicting a health state using an electrocardiogram, performed by a computing device, are disclosed. The method may include: acquiring electrocardiogram data and cardiac arrest data including whether cardiac arrest occurs in a subject whose electrocardiogram data is measured and a cardiac arrest occurrence time of the subject; analyzing a missing value of the electrocardiogram data or the cardiac arrest data to extract valid data from the electrocardiogram data; and labeling the extracted valid data based on whether the cardiac arrest occurs and the cardiac arrest occurrence time to generate training data.

The application provides application of a TRPML1 specific small molecule inhibitor ML-SI3 in preparation of a drug for treating or preventing brain injury. The application has the following beneficial effects: the TRPML1 specific small molecule inhibitor ML-SI3 can significantly reduce the injury degree of neurons of a brain injury rat; the learning and memory ability of the brain injury rat is improved; the movement disorder of the brain injury rat is improved, and the brain function of a rat after cardiopulmonary resuscitation after cardiac arrest is comprehensively protected; the TRPML1 specific small molecule inhibitor ML-SI3 provides a new drug for brain function protection of a cardiac arrest patient, and has good market value and clinical application prospect.

The invention belongs to the technical field of artificial intelligence and medical health information processing, particularly relates to an ICU critical patient multi-mode risk early warning system based on deep learning, and aims to solve the problems that in intensive care, illness state prediction lags behind, multi-source data fusion is difficult, and single-index early warning precision is low. According to the system, high-frequency physiological signals, clinical observation values, inspection images and unstructured texts are collected through the data sensing layer, cross-modal embedding and comparative learning alignment are carried out through the heterogeneous fusion layer, and a shared semantic space is constructed; the time sequence reasoning layer utilizes an improved space-time diagram neural network to model a dynamic knowledge graph, and causal and time sequence dependence among clinical events is captured; and the risk decision-making layer outputs multi-dimensional risk probabilities of sepsis, respiratory failure and sudden cardiac arrest in parallel. The system supports online incremental learning and individualized time decay modeling, the timeliness, accuracy and interpretability of early warning are improved, and the method is obviously superior to a traditional method in clinical verification.

1. The name of the product under this design: External Defibrillator (Pocket). 2. Purpose of this design product: This design product is used to assist the operator in performing external defibrillation on patients with symptoms of cardiac arrest. 3. The design highlights of this appearance design product lie in the shape, color and their combination of the product shown in Design 1 in the figure; and in the shape of the product shown in Design 2. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design. 6. Other circumstances that require explanation: Design 1 of the design for which protection is sought includes color.

The present invention relates to the field of biomedicine, and more specifically, to the use of STING inhibitors in the preparation of medicaments for treating or preventing post-cardiac arrest syndrome. The present invention proposes that STING inhibitors, through their interventional effects, inhibit STING-mediated type I interferon activation, thereby alleviating brain damage in patients with post-cardiac arrest syndrome and improving their survival rate and prognosis.