17 results about "Heart rate rhythm" patented technology

To provide suitable devices, systems, and methods for percutaneous pneumatic cardiac support. [Solution] The cardiac support system includes a pneumatic effector implanted beneath the pericardium and across the myocardial surface covering the patient's left ventricle. A port receives an implanted, percutaneously introduced cannula. The port is connected to supply the drive gas received from the cannula to the pneumatic effector. An external drive unit includes a pump assembly and a control circuit that operates the pump to activate the pneumatic effector in response to the patient's sensed cardiac rhythm. A connecting tube has a pump end connected to the pump and a percutaneous port connection end attached to the implantable port.

1. Name of the product in this design: Veterinary stethoscope. 2. Purpose of this design: To determine whether an animal's heart has murmurs, abnormal heart rhythms, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention discloses a timing device that integrates multiple emergency operation buttons and generates structured medical records in real time, belonging to the field of emergency medical technology. It includes an intelligent terminal recording module, a data integration and communication module, and an intelligent processing and output module. These three modules work together to achieve real-time recording of emergency operations, integrated data transmission, and automatic generation of structured medical records. The intelligent terminal recording module is a dedicated emergency recording terminal equipped with a timing chip and a multi-touch screen. The touch screen interface is dynamically designed according to the ACLS / BLS resuscitation process and features one-button recording for various emergency operations such as chest compressions, bag ventilation, defibrillation, heart rhythm analysis, and adrenaline administration. The timing chip provides millisecond-level timestamps for emergency operation records, enabling precise binding of operation content to the time of occurrence. This significantly reduces the need for clinical manpower, eliminating the need for a dedicated recording nurse through an "operation-as-record" model, and also eliminating the need for manual re-entry of medical documents after resuscitation.

The application discloses a liquid metal-silver-porous flexible substrate patterned circuit and method for flexible wearable electrocardio monitoring. A flexible substrate is porous styrene-butadiene-styrene block copolymer fiber membrane; after the porous flexible substrate is prepared through electrospinning, the substrate is placed in a silver solution to fully attach silver ions, then dried, and a method combining area selective reduction and electrochemical plating enhancement is used to construct a high-conductive silver microcircuit through a printing plate, then eutectic gallium-indium liquid metal is introduced to be adsorbed in the silver conductive network, and a liquid metal-silver composite patterned circuit with flexibility, air permeability, stretchability and self-repairing performance is obtained. The product has excellent conductivity, mechanical stability and skin adhesion, can be integrated with high-density electronic components, applied to wearable electrocardio monitoring devices, realizes high-fidelity acquisition of heart rate and complete electrocardio signal waveform, and can be used for detection and diagnosis of complex heart rhythm.

The utility model relates to tablet press technical field provides a heart rhythm ning tablet preparation tablet press. It includes first template, second template and third template, the first template constitutes the top surface of model space, the second template constitutes the bottom surface of model space, the third template constitutes the side wall of model space, the third template is surrounded by four forming blocks and constitutes, the forming block is linked together in proper order through telescopic link between the forming blocks, the telescopic link elongation, compression respectively correspond the dispersing, gather of forming block between, the third template is evenly distributed in horizontal direction, and fixedly connected between adjacent third template. This heart rhythm ning tablet preparation tablet press can pass through the model space inner wall segmentation is multiple smooth plane, and the model space is reduced the adhesion effect of medicament raw material and model space inner wall with the cooperation of the gradual disassembly model space.

A medical device system is configured to sense electrical brain activity and sense electrical cardiac activity. The system may detect a concerning heart rate from the electrical cardiac activity and determine that the concerning heart rate is a hemodynamically unstable cardiac rhythm based on the sensed electrical brain activity. The medical device system may generate an output for providing a response to determining that the concerning heart rate is a hemodynamically unstable rhythm.

The application discloses a non-contact electromagnetic heart monitoring method based on signal semantic deconstruction, comprising the following steps: collecting non-contact reflected electromagnetic signals to generate electromagnetic phase signal data; performing semantic bottleneck modeling to compress and retain key semantic information related to the heart to generate a latent semantic representation tensor; constructing a semantic invariant disturbance signal, which is input into an encoder together with the electromagnetic phase signal for self-supervised reconstruction; constructing an electrocardiogram semantic space and performing cross-modal semantic alignment between the latent semantic representation tensor and the electrocardiogram semantic space; outputting an enhanced latent semantic representation tensor by using an improved TSMixer model; extracting rhythm drift information based on the enhanced latent semantic representation, constructing an individual heart rhythm semantic atlas, and outputting a heart state recognition result. The application realizes semantic-level stable modeling of non-contact heart monitoring, improves the accuracy, robustness and explainability of heart rhythm recognition, and is suitable for intelligent health monitoring and remote medical scenarios.

This invention discloses an abnormal heart rhythm monitoring and intelligent nursing decision-making system based on wearable devices. The system includes: a smart glasses main body, a data acquisition module, a processing module, an analysis module, and a decision-making module. The data acquisition module collects multimodal physiological signals and, after preprocessing, inputs them into the first model of the processing module, outputting eight categories of abnormal heart rhythm classification results and confidence scores. The second model of the analysis module receives the classification results and outputs a value of the adaptation comparison function. This value, along with the confidence score, is compared using a preset comparison function to output a grading identifier. The decision-making module integrates a heart rhythm and clinical nursing knowledge base, generates grading nursing suggestions based on the grading identifier, and sends them to the smart glasses main body for feedback. This invention improves classification accuracy through a dual-model approach, achieving precise monitoring and grading nursing care for abnormal heart rhythms. It is adaptable to wearable device scenarios and has strong practicality.

The application provides a kind of anesthesia related abnormal electrocardiosignal detection method based on deep learning, it is related to medical data processing technical field, method includes: obtaining training sample in training set, training sample includes the electrocardiosignal denoising signal obtained by pre-processing in the process of patient anesthesia operation, the multi-channel time-frequency feature map extracted from electrocardiosignal denoising signal, with the anesthesia depth index of electrocardiosignal denoising signal time synchronization, and the label heart rhythm type corresponding to calibration;Training sample is input into neural network model group to train, to carry out self-adaptive weighting based on anesthesia depth index to multi-channel time-frequency feature map, after fusing the morphological feature map of electrocardiosignal denoising signal and the compact feature vector obtained after weighted multi-channel time-frequency feature map, input classification head output prediction heart rhythm type, construct to obtain anesthesia related abnormal electrocardiosignal detection model, can pay attention to the time-frequency characteristic most relevant to current physiological state of patient, adapt to the influence of anesthesia state change on electrocardio abnormality representation.

This invention discloses an AI-based method and system for electrocardiogram (ECG) monitoring and data analysis, comprising the following steps: Modeling the state transition patterns of ECG symbol sequences using a probabilistic suffix automata model, and combining this with a hidden semi-Markov model to model and analyze the rhythm duration. After filtering, correcting, and segmenting the continuous ECG signal, periodic features are extracted and converted into symbol sequences, constructing a joint feature of state and duration. The system judges rhythm abnormalities based on a joint scoring mechanism and optimizes the recognition strategy through reinforcement learning to achieve real-time identification and alarm of abnormal heart rhythms. This invention possesses structural modeling and duration recognition capabilities, making it suitable for dynamic ECG monitoring scenarios.

Various embodiments of a monitor / defibrillator (20) of the present disclosure employ a monitor (30) and defibrillator (40). In operation, upon a monitoring activation of the monitor (30), the monitor (30) generates an electrocardiogram (ECG) of a heart of a patient. Further in operation, upon a manual defibrillation mode activation of the defibrillator (40) and prior to a charge activation of the defibrillator (40), the defibrillator (40) analyzes and classifies a cardiac rhythm of the ECG generated by the monitor (30) and the defibrillator (40) further executes a pre-shock charge of the defibrillator (40) in response to a determinate classification by the defibrillator (40) of the ECG as a shockable cardiac rhythm.

Patients with paroxysmal or persistent atrial fibrillation whose untreated atrial fibrillation exceeds the threshold level are eligible for treatment with a drug that can control the patient's heart rhythm (e.g., budiodarone). Eligible patients are treated with the drug while their heart rate is monitored using a wearable device, and if a given drug dose is deemed ineffective, the dose is adjusted until an effective dose is determined for the patient or the patient is deemed unresponsive to the drug and is discontinued from treatment.

This invention provides a method, apparatus, and program product for parallel rhythm calibration measurement. The method includes: responding to selecting a first and second heartbeat from non-sinus heartbeats, determining the interval T between the R' wave positions of the two heartbeats, and displaying a first and a second marker indicating the R' wave positions of the two heartbeats; extending N×T intervals backward along the time axis from the second position, and displaying a third marker at the position corresponding to n times the interval T, so that the first, second, and third markers are linked in parallel; for each third position, when there is an R' wave of a third heartbeat (non-sinus heartbeat) within a predetermined region before and after that position, calculating the coupling interval between the R' wave and its preceding sinus heartbeat; calculating the coefficient of variation of all coupling intervals, and when the coefficient of variation is greater than a threshold, determining that the coupling is inconsistent, and displaying an indicator indicating the coupling inconsistency. Using this technical solution, doctors can be assisted in quickly and accurately diagnosing parallel heart rhythms.

The application discloses a physiological characteristic monitoring data processing method and device and a computer readable storage medium, and the method comprises the following steps: acquiring radar in-phase and quadrature signals, positioning a target thoracic cavity distance unit, extracting phase information, and generating a micro-motion signal; performing signal separation on the micro-motion signal based on a preset frequency interval, extracting independent respiratory signals and heartbeat signals; extracting a heartbeat cycle sequence of the heartbeat signal to generate a heart rhythm state feature; calculating the timing correlation of the respiratory signal and the heartbeat cycle sequence to generate a respiratory-heartbeat correlation feature; inputting the heart rhythm state feature and the respiratory-heartbeat correlation feature into a preset classification network to perform feature fusion and inference operation, and outputting a sinus rhythm type. The application realizes high-fidelity decoupling of a non-contact heart-lung signal, can accurately identify respiratory and non-respiratory sinus arrhythmia, effectively avoids false health warnings, and breaks through the cognitive barriers of professional medical indicators.

The application provides a kind of infantile electrocardiosignal intelligent analysis method and system based on conductive fabric, it is related to electrocardiosignal processing technical field, including: through flexible conductive fabric, multi-channel electrocardio data is collected, space correlation matrix is constructed to select optimal reference channel to obtain complete electrocardio data.Waveform reconstruction and feature extraction are carried out on complete electrocardio data, and physiological state feature vector is constructed.By querying heart rate baseline reference interval, the feature vector is calibrated and corrected, the heart rhythm type is determined by combining the interval stability and autonomic nervous state, and the analysis result is generated.The application realizes the stable collection and intelligent analysis of infantile electrocardiosignal, improves the analysis accuracy and reliability.

This invention discloses a compound bilayer sustained-release formulation for treating arrhythmia, belonging to the field of pharmaceutical technology. The formulation uses two purified active monomers from natural plants as its core active components, employing a rapid-release and sustained-release bilayer structure design with strictly controlled dosages for each layer of active monomers. The two active monomers of this invention have clearly defined primary and secondary pharmacological functions, possessing both core targeted therapeutic efficacy and complementary secondary pharmacological effects. One component primarily regulates myocardial electrophysiology and intervenes in arrhythmias, while also exhibiting auxiliary activities such as coronary artery dilation and myocardial protection. The other component primarily functions for myocardial protection, microcirculation optimization, and myocardial damage repair, while also assisting in stabilizing heart rhythm. Furthermore, the first active monomer possesses dose-dependent cardiovascular pharmacological characteristics. This invention features a scientifically formulated, mild, and stable and sustained drug release, simultaneously achieving both rhythm regulation and myocardial protection. It solves the problems of existing formulations, such as single target, low safety, and limited therapeutic systems. The preparation process is simple and controllable, showing promising prospects for industrialization.