2003results about "Heart defibrillators" patented technology

A disclosed method includes monitoring a plurality of emergency event queues at an emergency network entity; determining that an emergency event in one of the emergency event queues corresponds to an emergency type that can be responded to using an unmanned aerial vehicle; determining that an unmanned aerial vehicle is available that has capabilities corresponding to the emergency type; establishing an unmanned aerial vehicle control link between the unmanned aerial vehicle and the emergency network entity; and deploying the unmanned aerial vehicle to the emergency event location and providing data from the unmanned aerial vehicle on a display of the emergency network entity.

A blood pump system includes a catheter, a pump housing disposed distal of a distal end of the catheter, a rotor positioned at least partially in the pump housing, a controller, and an electrode coupled a distal region of the blood pump. The electrode can be used to sense electrocardiogram (EKG) signals and transmit the signals to a controller of the blood pump. The operation of the blood pump can be adjusted based on the EKG signal and on cardiac parameters derived from the EKG signal. Further, the controller can determine a need for defibrillation or pacing of the patient's heart based on the signal and can administer treatment with electrical shocks to the heart via the electrode coupled to the blood pump. The use of an electrode with a blood pump already in place in the heart allows for more efficient and safer treatment of serious cardiac conditions.

Systems and methods are disclosed for the treatment and prevention of cardiac dysrhythmias and / or hypertension, and more specifically to systems and methods of treating cardiac dysrhythmias, including atrial fibrillation, as well as hypertension through noninvasive peripheral nerve stimulation.

Systems and methods are disclosed for the treatment and prevention of cardiac dysrhythmias and / or hypertension, and more specifically to systems and methods of treating cardiac dysrhythmias, including atrial fibrillation, as well as hypertension through noninvasive peripheral nerve stimulation.

The invention discloses a multifunctional defibrillation electrode plate assembly, a defibrillation host and a defibrillation system. Wherein the multifunctional defibrillation electrode plate assembly is connected with the defibrillation host through the electrode plate assembly connecting terminal group, the first electrode plate assembly connecting terminal is connected with the defibrillation electrode plate, and the second electrode plate assembly connecting terminal is connected with the information component; under the condition that the electrode plate assembly connecting terminal group is connected with the defibrillation host, the defibrillation electrode plate can be connected with the defibrillation host through the first electrode plate assembly connecting terminal to realize a defibrillation and / or monitoring function, and the information component can provide information related to the defibrillation electrode plate for the defibrillation host through the second electrode plate assembly connecting terminal; and the second electrode plate assembly connecting terminal is also connected with the auxiliary sensor, so that a first preset function can be realized between the defibrillation host and the auxiliary sensor through the second electrode plate assembly connecting terminal under the condition that the electrode plate assembly connecting terminal group is connected with the defibrillation host.

A medical equipment management system is described that includes a database including status and software information for medical equipment, a user interface configured to display at least one summary level indicator comprising a summary level status indicator for at least one group of the medical equipment, wherein the group of medical equipment corresponds to a user-defined geographic region, and a computer located remotely from the medical equipment and communicatively coupled to the user interface and the database, the computer configured to establish a communicative connection with the medical equipment, receive status updates from the medical equipment, update the status information in the database based on the status updates, receive a request to access the database, and provide the updated status information for the group of medical equipment to the user interface, wherein the summary level status indicator at the user interface is based on the updated status information.

Some embodiments of the current disclosure are directed toward defibrillation and defibrillation equipment, and more particularly, an automated external defibrillator (AED) and a non-clinical power adapter therefor. In some embodiments, an AED may include an electrical connector to receive a battery pack, at least one capacitor to store energy, an electrotherapy delivery circuit to deliver the energy externally as electrotherapy, at least one discharge circuit to internally discharge energy stored in the capacitor(s), a non-clinical power adapter to be received by the electrical connector, and at least one processor. The processor(s) may determine whether the non-clinical power adapter is electrically coupled to the electrical connector, determine whether the automated external defibrillator recognizes the non-clinical power adapter, and / or enable power to be supplied to the automated external defibrillator from the non-clinical power adapter if the automated external defibrillator recognizes the non-clinical power adapter.

The invention discloses an AED intelligent first-aid management system based on the Internet of Things, and relates to the technical field of first-aid management, and the system comprises a data collection and transmission module, a first-aid decision support module, a resource scheduling and cooperation module, and a first-aid training and evaluation module. The first-aid decision support module processes acquired data by using big data analysis and an artificial intelligence algorithm, quickly judges the type and severity of cardiac arrest, generates a personalized first-aid scheme and pushes the personalized first-aid scheme to first-aid personnel equipment, and the resource scheduling and collaboration module tracks AED equipment and personnel information in real time, plans and deploys a path and an attendance route in combination with road conditions, and sends the path to the first-aid personnel equipment. The system is connected with a hospital system to realize efficient cooperation of first aid; through deep fusion of the Internet of Things technology, big data and artificial intelligence, an efficient and intelligent AED first-aid management system is constructed, the first-aid response speed and success rate are remarkably improved, and precious treatment time is won for patients.

A defibrillator housing is provided. Four walls are each affixed on one side of a bottom surface. A dividing layer is affixed to each of the four walls creating an electrode enclosure configured to hold a pair of pads and a circuit enclosure configured to hold circuitry. Access to the circuitry is restricted by the bottom surface and dividing layer. A cover is configured to fit over the electrode enclosure on a side opposite the circuit enclosure and includes a plurality of tabs staggered along two opposite sides of the cover.

A medical monitoring system comprises a wearable garment incorporating multiple physiological sensors for real-time patient monitoring. The garment integrates an embedded processing unit that receives sensor data and transmits it wirelessly to a base station or remote server. A multi-modal physiological signal processing unit analyses the data to generate composite physiological indices, including metabolic rate, work of breathing, and fall risk assessments. The garment includes optional monitoring features such as transcutaneous carbon dioxide measurement, electrocardiography, pulse oximetry, blood pressure monitoring, and accelerometer - gyroscope-based motion tracking. The system provides early-warning alerts for clinical deterioration, enabling proactive therapeutic interventions. A wireless communication module ensures real-time data transmission, supporting remote monitoring and integration with hospital networks. The garment's modular design allows for non-invasive physiological assessment while maintaining patient mobility, making it suitable for critical care, ambulatory monitoring, and telemedicine applications.

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.

Provided here is an apparatus, a computer program product, and a method for providing a corrected QT interval (QTc) measurement from electrocardiograma method comprises step of receiving electrocardiogram at least one electrocardiogram (ECG) source; cleansing said electrocardiographic data; extracting ECG segments from cleansed electrocardiogramased on ECG channel electrode(s) of interest; providing one or more baseline models trained with annotated segments to generate interpreted heart rhythm / rate based on the extracted ECG segments; selecting an image processing model based on the interpreted heart rhythm / rate; and applying the selected image processing model to the cleansed electrocardiogramhere the image processing model outputs the QTc measurement.

Provided herein are methods of treating heart failure in patients exhibiting one or more additional features, comprising administering to the patient a therapeutically effective amount of omecamtiv mecarbil, or a hydrate, salt, or salt of a hydrate thereof.

A defibrillator housing with a unitary frame is provided. The unitary frame includes four walls and a dividing layer affixed to an interior surface of each of the four walls creating, on one side of the dividing layer, an electrode enclosure configured to hold a pair of pads and on an opposite side of the dividing layer, a circuit enclosure configured to hold circuitry. The unitary frame is formed from a single piece of material. A cover is configured to fit over the electrode enclosure on a side opposite the dividing layer. A bottom surface is affixed on each side to one of the four walls of the circuit enclosure.

A medical system for assisting with an intubation procedure for a patient. The system comprising airflow sensors configured to obtain data indicative of airflow in the patient's airway and physiological sensors configured to obtain information regarding airflow in the patient's lungs. The system further including a monitoring device communicatively coupled to the airflow sensors and the physiological sensors. The patient monitoring device comprising at least one processor coupled to memory and configured to: provide a user interface on a display and assist the rescuer in determining proper placement of an endotracheal tube, receive the data indicative of the airflow in the patient's airway, receive the physiological information regarding the airflow in the patient's lungs, and determine whether the tube is properly placed based on the received physiological information, and present an output of the determination of whether the ET tube was properly placed.

A defibrillator or monitoring system may comprise a defibrillator, at least one video camera configured to acquire a video of a subject being treated by the defibrillator, a data collection unit configured to collect data associated with the subject, a communications unit configured to establish a communication channel between the defibrillator system and an emergency response center; and a processing unit configured to cause transmission to the emergency response center of at least one of the video of the subject and the data associated with the subject.

The invention provides a power supply unit of an implantable cardioverter defibrillator and the implantable cardioverter defibrillator. The power supply unit of the implantable cardioverter defibrillator comprises a switching power supply, a linear power supply and a controller, the output of the power supply unit comprises VDD and VPP; the controller comprises a user-defined mode and a plurality of special scene modes; when the controller is in the custom mode, the switching power supply and the linear power supply work based on a set program; the controller is configured to set the custom mode and the special scene mode according to a time sequence corresponding to a current application scene of the implantable cardioverter defibrillator according to the time sequence corresponding to the application scene so as to control the working states of the switching power supply and the linear power supply. And realizing independent or joint output of the VDD and the VPP corresponding to the application scene. Through the configuration, reliable implementation of the priority of each function is ensured, the power consumption is reduced, and the reliability and efficiency requirements of power management are met.

Systems are provided to perform automated identification and dispatching of resources (e.g., patient service responders) to provide individualization of medical products and service to specific patients. Such systems can use decision-based tree methods. In some examples, the systems can learn from historical data (using AI technology, for example) to autonomously match patient's medical and personal needs and preferences with responder options and the requisite inventory. Such systems can be scalable for a growing number of patients and responders and can improve patient quality of care, treatment, and satisfaction. The automated systems and methods can alleviate burdens on medical network and resources including reduction of redundancies and costs. It can also help reduce, and if needed, quickly address any errors, human and / or technical, and aid with quality assurance.

An example of a context sensitive guidance (CSG) system for guiding caregivers providing medical care for a victim, for example a trauma victim, includes a CSG engine and contextual data sources communicatively coupled to the CSG engine. The contextual data sources include a medical device configured to collect physiologic data and provide the physiologic data to the CSG engine and an emergency environment data source configured to receive emergency environment data and provide the data to the CSG engine. The CSG engine includes hardware logic and / or software logic configured to receive the contextual data, evaluate protocols based on the contextual data, select at least one action item based on the protocols, generate at least one instruction based on the action item(s), the instruction(s) including a caregiver instruction and / or a medical device instruction, and provide the instruction to a caregiver interface device and / or the medical device.

The disclosed systems and methods provide systems and methods for rhythm recognition and the analysis of ECG signals.

A defibrillator housing with secure wire arrangement is provided. Four walls are each affixed on one side of a bottom surface. A dividing layer is affixed to each of the four walls creating an electrode enclosure configured to hold a pair of pads each associated with a wire, and a circuit enclosure configured to hold circuitry. Access to the circuitry is restricted by the bottom surface and dividing layer. A plug is positioned in the dividing layer and has at least one pin that extends through the dividing layer to connect with the circuitry in the circuit enclosure. The wires are connected to one end of the plug, opposite the pins, to provide power to the pads.

AED pulse generation circuits that provide floating, adjustable, bias voltages for driving a solid-state defibrillation waveform therapy generator circuit are provided. The provided bias voltages allow to reverse polarity of provided electric shock to increase chances of successful defibrillation and survival. In one of the provided configurations, energy stored in the pulse capacitor can be discharged by activating the waveform therapy generator in the high-resistance transconductance region. The circuits can be positioned on a self-contained module potted with an insulating material to reduce unintended interactions with other AED components. Through the use of the disclosed circuits, AED size can be reduced to promote pocketability while simultaneously increasing AED reliability.

A computer-implemented method for managing medical equipment includes presenting, at a display of a mobile computing device associated with an inspector, an inspection user interface configured to capture one or more user inputs from the inspector, receiving inspection account information via the one or more user inputs, receiving a location of the mobile computing device, providing, at the inspection user interface, identification information for transported medical equipment that is associated with the inspection account information, receiving status information for the transported medical equipment via the one or more user inputs, receiving, at a remote medical equipment database, location information for the transported medical equipment, and updating a maintenance report for the transported medical equipment by storing an inspection information entry in the maintenance report. The inspection information entry includes a time stamp, the location information, the received status information, and the location of the mobile computing device.

According to one embodiment of the present invention, a method for correcting for loss of a chest compression depth of a patient includes a) setting a value of a chest compression start position of the patient to start chest compression of the patient with a lower end of a piston positioned above a chest of the patient, and then expanding or contracting the piston so that the lower end of the piston moves to the chest compression start position according to the value of the chest compression start position of the patient, by a control unit, b) applying a value of an initial chest compression depth which is a movement length value of the piston from the chest compression start position of the patient toward an upper side of a base plate supporting a back of the patient and a threshold value of the chest compression depth to expand and contract the piston so that chest compression is performed, and detecting a change in a shape of the chest of the patient during chest compression to update the chest compression start position of the patient, by the control unit, c) comparing and determining a value obtained by adding a separation distance between a cap fastened to the lower end of the piston and the chest of the patient and the value of the initial chest compression depth and the threshold value of the chest compression depth, by the control unit, and d) expanding and contracting the piston so that the cap reciprocates according to the value of the initial or updated chest compression depth to perform the chest compression by the cap.

Computer implemented methods and systems are provided that comprise, under control of one or more processors of a medical device, where the one or more processors are configured with specific executable instructions. The methods and systems include sensing circuitry configured to define a sensing channel to collect biological signals, memory configured to store program instructions, a processor configured to implement the program instructions to at least one of analyze the biological signals, manage storage of the biological signals or deliver a therapy, and communication circuitry configured to wirelessly communicate with at least one other implantable or external device, the communication circuitry configured to transition between a sleep state, a partial awake state and a fully awake state. When in the fully awake state, the communication circuitry is configured to execute tasks and actions associated with a communications protocol startup (CPS) instruction set that includes an advertisement scanning related (ASR) instruction subset and a non-ASR instruction subset. When in the partially awake state, the communication circuitry is configured to execute, as the ASR instruction subset, transmit advertising notices over one or more channels according to a wireless communications protocol, scan the one or more channels for a connection request from an external device. When a connection request is not received, return to the sleep state, without performing actions or tasks associated with the non-ASR instruction subset of the CPA instruction set.

Provided herein are methods of treating heart failure in patients exhibiting one or more additional features, comprising administering to the patient a therapeutically effective amount of omecamtiv mecarbil, or a hydrate, salt, or salt of a hydrate thereof.

Systems and methods for detecting cardiac events in a patient are described herein. An embodiment of a medical system includes a detection circuit configured to detect cardiac events of the patient at different detection settings using physiologic information of the patient and a control circuit to determine a priority for each detected cardiac event based on the detection setting used to detect the respective cardiac event and to prioritize system resources for the detected cardiac event according to the determined priorities, wherein to prioritize system resources comprises to allocate memory space for the detected cardiac events or to prioritize data transmission of the detected cardiac events to an external system based on the determined priority for each respective cardiac event.

A method for self-application of a defibrillator is provided. An opening of a cover of a defibrillator is identified. A pair of pads are stored in an enclosure of the defibrillator, below the cover. Charging of the defibrillator is initiated upon the opening of the cover. A trigger for recording cardiac data of a patient via the defibrillator is identified. The trigger includes placement of the pads on the patient, by the patient. Recording of the cardiac data of the patient is initiated upon identifying the trigger. The recording is monitored for a shockable event.

In one embodiment, a defibrillation assembly energizable through magnet removal is provided. The defibrillation assembly includes an a magnetically triggered reed switch; an energy storage element that supplies power to the magnetically triggered reed switch; circuitry configured to generate a defibrillation waveform, wherein the circuitry is isolated from the energy storage element by the electromechanical component; a case within which at least a portion of the circuitry is located and comprising a printed circuit board (PCBA) enclosure within which a magnet is positioned that keeps the magnetically triggered reed switch in an open position, wherein an opening of the case that comprises removal of the magnet from the position causes the magnetically triggered reed switch to switch into a closed position and for the power to flow to the circuitry through the magnetically triggered reed switch.

A medical device is configured to deliver an atrioventricular nodal stimulation (AVNS) therapy for suppressing atrioventricular node conduction by generating pulse trains according to AVNS control parameters. The medical device may deliver ventricular pacing pulses and determine that a threshold number of ventricular pacing pulses are delivered while the AVNS therapy is being delivered. The medical device may adjust at least one AVNS control parameter in response to determining that the threshold number of ventricular pacing pulses have been delivered.