192 results about "Heart activity" patented technology

A normothermic perfusion circuit can be used to perfuse a donor heart after transportation and before transplantation. The circuit can drain the organ storage container of cold preservation solution, perfuse the aorta of the heart with warm fluid to initiate heart activity, and then perfuse the left atrium of the heart with warm fluid to bolster heart activity and evaluate heart viability. Heart viability can be determined using parameters measured by sensors in the circuit.

A normothermic perfusion circuit can be used to perfuse a donor heart after transportation and before transplantation. The circuit can drain the organ storage container of cold preservation solution, perfuse the aorta of the heart with warm fluid to initiate heart activity, and then perfuse the left atrium of the heart with warm fluid to bolster heart activity and evaluate heart viability. Heart viability can be determined using parameters measured by sensors in the circuit.

The invention relates to a data processing method and device for a multi-parameter health monitoring sensor, and the method comprises the following steps: carrying out the continuous recording of a target user, and obtaining a multi-channel monitoring data flow; carrying out heartbeat profile description on the multi-channel monitoring data stream based on a heartbeat feature reconstructor to obtain heart activity parameters; carrying out heartbeat rule analysis on the target user based on the heart activity parameters to obtain heart working characteristics; performing heart state evaluation on the heart working characteristics to obtain heart operation data; and if the heart running data is not within the preset heart running range, performing dynamic health tracking on the target user based on the heart running data to obtain a heart health report, thereby solving the problem that the traditional heart health monitoring means mainly depends on regular physical examination and static electrocardiogram detection, and the monitoring accuracy is high. Dynamic changes and individual differences of heart activities are difficult to capture, so that potential heart risks cannot be early warned and intervened in time.

The invention discloses a heart rehabilitation action precision assessment method and system of wearable sensor equipment, and relates to the technical field of heart rehabilitation assessment, and the method comprises the following steps: utilizing a multi-mode sensor array module integrated with an electrocardio sensor, an inertial measurement unit IMU, a myoelectricity sensor and a pressure sensor; synchronously collecting multi-dimensional data of heart activity, motion posture, muscle electric signals and limb pressure; according to the method, multiple sensors are integrated, multi-dimensional data such as heart activity, movement postures, muscle electric signals and limb pressure are comprehensively collected, accurate acquisition of related information of rehabilitation actions is achieved, heterogeneous data are deeply fused through an improved self-adaptive weighted fusion algorithm, a more comprehensive and accurate rehabilitation action characteristic spectrum is generated, and the rehabilitation action characteristic spectrum is more accurate. And the transfer learning and meta-learning mechanism is introduced to construct a personalized evaluation model, individual differences of patients are fully considered, and an accurate evaluation standard is customized for each patient.

The invention discloses a coenzyme Q10-containing medicine for improving heart activity and a preparation method thereof, and particularly belongs to the technical field of biological medicines. The medicine comprises functional components and auxiliary materials, wherein the functional components comprise a cactus extract, a calligonum mongolicum extract, an astragalus membranaceus extract, a sea-buckthorn extract and coenzyme Q10; the hypoxia survival time and the load-bearing swimming time of mice can be remarkably prolonged through low, medium and high dose groups of the medicine for improving the heart vitality, the requirement of fatigue caused by high labor intensity for oxygen is further met by enhancing the immunity of the organism, supply of nutrient substances to the brain, the heart, the bones and the muscles of the organism is enhanced, and the effect of improving the heart vitality is achieved. The composition can regulate the activity of central nervous system, promote the normal operation of the body circulation system, relieve and eliminate fatigue and damage to the body caused by fatigue and chronic fatigue, and quickly recover physical strength.

The invention provides a brain-heart coupling feature extraction method, a brain-heart coupling feature extraction device and electronic equipment, and belongs to the field of electric digital signal processing. The method comprises the steps that electroencephalogram signals and electrocardiosignals are obtained, analysis is conducted on the basis of objective physiological data, power spectrum density information corresponding to the electroencephalogram signals is obtained, heart rate variability data are obtained on the basis of the electrocardiosignals, the time-varying regulation and control coupling strength of the brain to low-frequency and high-frequency components of heart activity is further determined, and then the time-varying regulation and control coupling strength is obtained. And performing fusion analysis based on the time-varying regulation coupling strength and the power spectrum density information corresponding to the electroencephalogram signal, depicting a physiological mechanism related to cognition, and capturing features of interaction between the brain and the heart, thereby obtaining first coupling feature information of the brain corresponding to the target user for the heart. The cognitive level misjudgment rate can be effectively reduced, the extracted first coupling feature information can reflect the real cognitive state of the target user more accurately, and a more accurate basis is provided for cognitive level evaluation.

System for arrhythmia detection and confirmation includes implantable medical device (IMD) having a sensing circuit for sensing cardiac activity (CA) for one or more cardiac cycles and generating one or more CA signals. An implantable pressure sensor (IPS) includes IPS sensing circuit for sensing pressure during the one or more cardiac cycles and generating one or more pressure signals. IMD and IPS include communications circuits for communicating with each other and / or an external device. One or both of IMD or IPS includes memory for storing program instructions and processor(s) for analyzing one of the CA or pressure signals, for one or more cardiac cycles, to detect a candidate arrhythmia. In response to detecting candidate arrhythmia, the processor(s) obtain another one of CA or pressure signals for cardiac cycles corresponding to the one or more cardiac cycles, and confirm or deny candidate arrhythmia based on the other one of the signals.

The invention provides a heart in-vitro perfusion and static preservation system based on a heart supply transfer box, and the system comprises a data acquisition module which is used for carrying out the basic state inspection of a box body, the environment detection of the box body, the environment adjustment, and the heart detection and positioning; the intelligent filling module is used for automatically filling and monitoring medicines; the activity monitoring module is used for calculating a heart electrophysiological activity index, an epicardial injury parameter and a lactic acid uptake ratio to obtain a heart activity index; the intelligent evaluation module is used for constructing a coupling model, outputting a heart supply real-time quality score and injury trend prediction, and carrying out heart abnormity monitoring and alarming; the energy consumption management module is internally provided with a solid-state high-specific-energy lithium battery pack and is used for performing energy consumption prediction and optimization; and the security monitoring module is used for data compression, hierarchical uploading and remote encryption control. The method can standardize the operation of the donor heart preservation process, greatly reduces personal errors, improves the quality and availability of remote heart transfer and preservation, reduces the risk of organ scrap, and relieves the contradiction between supply and demand.

An apparatus for oxygenation and / or CO2 clearance of a patient. The apparatus comprising: a flow source or a connection for a flow source for providing a gas flow, a gas flow modulator, a controller to control the gas flow. The controller is operable to: receive input relating to heart activity and / or trachea gas flow of the patient, and control the gas flow modulator to provide a varying gas flow with at least two oscillating components. One oscillating component has a frequency based on the heart activity and / or trachea flow of the patient. One oscillating component has a frequency to: promote bulk gas flow movement, or promote mixing.

A method for baseline blood pressure estimation of a user of a wearable physiological monitor. The method comprising identifying a segment of pulse data related to cardiac activity of the user during a portion of a sleep session, wherein the segment of pulse data is obtained by the wearable physiological monitor; determining, from the segment of pulse data, a resting heart rate value of the user during the portion of the sleep session; identifying a machine learning model trained to receive as input one or more features including an input resting heart rate value obtained during a first time period and predict an indicator of blood pressure during a second time period; and providing the resting heart rate value to the machine learning model to obtain an indicator of baseline blood pressure for the user.

Attachment means enable electrodes to apply an alternating current to the skin of a user and measure voltage across the skin. The data allows a signal indicative of the respiration of the user to be d

System and method for declaring pause in cardiac activity comprises memory to store specific executable instructions and a convolutional neural network (CNN) model comprising a global average pooling (GAP) layer. One or more processors are configured to execute the specific executable instructions to obtain device classified arrhythmia (DCA) data sets generated by an implantable medical device (IMD) for corresponding candidate pause episodes declared by the IMD. The DCA data sets include cardiac activity (CA) signals for one or more beats sensed by the IMD. The processor(s) apply the CNN model to the DCA data sets to identify a valid subset of the DCA data sets that correctly characterizes the corresponding CA signals. A display is configured to present information concerning the valid subset of the DCA data sets.

The invention provides a heart body surface multi-point joint acquisition and multi-modal fusion system, method and device, and belongs to the technical field of heart state monitoring, the system comprises: a cardiac seismic signal sensor used for acquiring a plurality of initial cardiac seismic signals at a plurality of acquisition positions of a measured chest, each acquisition position corresponding to one initial cardiac seismic signal; the first signal processing module is used for preprocessing the plurality of initial cardiac seismic signals to obtain a plurality of target cardiac seismic signals; the radar signal sensor is used for transmitting a radar signal and collecting an initial radar echo signal returned by the tested chest; the second signal processing module is used for preprocessing the initial radar echo signal to obtain an area array radar echo signal; and the data processing module is used for determining target physiological state information for reflecting the measured chest according to the plurality of target cardiac shock signals and the area array radar echo signals. More accurate heart activity information can be provided, so that the diagnosis accuracy is improved.

Methods of generating a graphical representation of cardiac information on a display screen are provided. The method comprises: electronically creating or acquiring an anatomical model of the heart including multiple cardiac locations; electronically determining a data set of source information corresponding to cardiac activity at the multiple cardiac locations; electronically rendering the data set of source information in relation to the multiple cardiac locations on the display screen. Systems and devices for providing a graphical representation of cardiac information are also provided.

Methods, systems, and devices that detect arrhythmic episodes and perform arrhythmia discrimination are described. Such a system includes a leadless pacemaker (LP) that senses a near-field electrogram (NF-EGM), and a non-vascular implantable cardioverter defibrillator (NV-ICD) that senses a far-field electrogram (FF-EGM). The LP determines cardiac activity information based on the NF-EGM and optionally also based on paced cardiac events caused by the LP. The LP monitors for specific pacemaker condition(s), sends i2i message(s) including the cardiac activity information to the NV-ICD when at least one of the specific pacemaker condition(s) is detected by the LP, and does not send i2i message(s) including the cardiac activity information to the NV-ICD when the LP detects none of the specific pacemaker condition(s) After the NV-ICD receives the i2i message(s) transmitted by the LP, the NV-ICD can detect an arrhythmic episode and / or perform arrhythmia discrimination based on the cardiac activity information included therein.

A method (200) for assessing the reliability of a cardiac parameter of a subject is disclosed. The method comprises: receiving data from a transesophageal echocardiography probe, a cardiac activity sensor, and a motion sensor (201); determining (202) TEE cardiac parameters relating to the cardiac parameters estimated using data from the transesophageal echocardiography probe; determining a cardiac activity cardiac parameter relating to the cardiac parameter estimated using data from the cardiac activity sensor; determining (203) the cardiac parameter based on at least one of the TEE and a cardiac activity parameter; evaluating the reliability of cardiac parameters based on TEE and cardiac activity parameters and the data from the motion sensor; and transmitting a feedback signal to an output device based on the reliability of the cardiac parameter. According to the invention, the method further comprises: determining (206) a cardiac parameter trend and whether the cardiac parameter trend exceeds a trend threshold; detecting (220) a motion of the object during a first time period based on the data of the motion sensor; and evaluating the reliability of the cardiac parameter based on whether the cardiac parameter trend exceeds the trend threshold and based on whether the motion of the subject has been detected. A computer program and a system (3) for implementing such a method are also disclosed.

Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

The present invention concerns selective renal denervation treatment of drug resistant hypertensive patients by correlating the patients' genetic panel by categorization and hierarchy according to patients' genetic variants within the functional genes for heart activity, for the renin-angiotensin aldosterone system, and for renal activity.

A pump system is provided comprising a diaphragm fluid pump which can be fluidically connected to a heart and / or at least one blood vessel by means of an inlet cannula and an outlet cannula and is adapted for generating a pulsatile fluid flow for supporting a cardiac activity of the heart, a working pressure source connected to the diaphragm fluid pump by means of a pressure line and adapted for providing a working pressure for driving the diaphragm fluid pump, a control unit adapted for controlling the working pressure, a first flow sensor adapted for detecting a first cannula flow signal corresponding to an inlet flow in the inlet cannula or an outlet flow in the outlet cannula, a working pressure sensor adapted for detecting a working pressure signal corresponding to the working pressure in the pressure line.

The present invention relates to a method for determining a cardiac activation area of a heart (154) of a patient (150) based on electrocardiography, ECG. The method (200) comprises obtaining (202) image data (252) of the heart (154) of the patient (150), obtaining (204) image data (254) of a torso (152) of the patient (150), obtaining (208) positions (258) of electrodes (142) at the torso (152), obtaining (206) a measured ECG signal (256) measured at the patient (150) using the electrodes (142), parameterizing (210) of a model (260) for estimating electrical potentials on the skin of the torso of the patient (150) depending on cardiac activity, determining (212) multiple simulated ECG signals (262-266) for multiple activation patterns using the model (260), and determining (218) the cardiac activation area of the heart (154) based on comparing the multiple simulated ECG signals (262-266) with the measured ECG signal (256).

Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

Classification of heartbeats based on intracardiac and body surface electrocardiogram (ECG) signals are provided. Intracardiac ECG (IC-ECG) signals and body surface ECG (BS-ECG) signals are processed to perform heartbeat classifications. A BS annotation of BS-ECG signals reflective of a sensed heartbeat is defined, the BS annotation including a BS annotation time value. IC annotations of IC-ECG signals which reflect atrial-activity or ventricular activity of the sensed heartbeat are also defined, each IC annotation including an IC annotation time value. The IC-ECG signals are discriminated as A-activity or V-activity and IC annotations are designated as IC-A annotations or IC-V annotations, respectively. A respective A / V time sequence comparison of IC annotations reflective of the sensed heartbeat is made with one or more time sequence templates for heartbeat classification. Morphology comparisons of the BS-ECG oscillating signal segments reflective of the sensed heartbeat morphology templates for classification may also be made.

Medical monitoring systems, methods, and computer program products with cardiac sensors and acceleration sensors are provided. A medical monitoring system includes a sensor device configured to attach to a body of a user and an electronic device communicatively coupled to the sensor device. The sensor device includes a physiological sensor configured to obtain physiological data representative of cardiac activity of a user and an acceleration sensor configured to obtain acceleration data representative of movement of the user. The electronic apparatus comprises a processor configured to: (i) cause the sensor device to obtain physiological data and acceleration data during a time period; (ii) determining a biomarker representing the health of the user based on the physiological data and the acceleration data, wherein the biomarker represents a relationship between a speed of movement of the user and cardiac activity of the user during the time period; (iii) generating a data structure representing the biomarker, and (iv) storing the data structure in a hardware storage device.

An external medical device is provided which is configured to provide a user with access to one or more training modules. The external medical device includes one or more electrodes configured to detect a cardiac activity of a patient, an audio and / or visual output, and a controller coupled to the audio and / or visual output. The controller is configured to: detect at least one of a predetermined event and a device use pattern; and responsive to detecting the at least one of the predetermined event and the device use pattern, provide the patient access to one or more training modules relating to a use or a configuration of the external medical device via the audio and / or visual output. The device can also include a user interface configured to provide access to at least one training module according to a schedule of training modules for the patient.

How to treat injuries or conditions associated with CNS edema [Solution] This technology relates to reducing or treating neurological swelling and related conditions with SUR1-TRPM4 channel inhibitors. In some embodiments, the method includes reducing late neurological exacerbations or preventing death, reducing midline deviation of the brain, reducing the degree of functional impairment in subjects, neutralizing blood glucose levels in subjects receiving SUR1-TRPM4 channel inhibitors, preventing cerebral swelling, treating injuries or conditions associated with CNS edema while monitoring liver enzyme activity, or treating injuries or conditions associated with CNS edema while monitoring cardiac activity.

Implantable medical devices and methods that utilize a sensing circuit to sense cardiac activity (CA) signals and an accelerometer to obtain accelerometer data. Memory stores program instructions and device parameters associated with a collection of ventricular arrhythmia (VA) therapies. A processor analyzes the CA signals over one or more cardiac beats, determines a VA episode based on the analysis of the CA signals, determines the VA episode to be hemodynamically stable or unstable based on at least one of the accelerometer data or the CA signals, selects a first VA therapy from the collection of VA therapies based on whether the VA episode is hemodynamically stable or unstable, and apply the first VA therapy using at least one of the at least two coils.

The application provides a heart activity monitoring method and a wearable device, and relates to the technical field of terminals. The application monitors heart activity of a user through a wearable device, determines whether the user is in a plurality of preset scenes which are prone to induce coronary heart disease, realizes more timely coronary heart disease warning, and avoids missed diagnosis. The method comprises the following steps: after the wearable device determines that the user is in a preset scene according to at least one of first data monitored by a first sensor, second data monitored by a second sensor and third data monitored by a third sensor, the wearable device reminds the user to perform electrocardiogram measurement. And in response to a user input instruction, the wearable device acquires electrocardiogram data of the user through an electrocardiogram sensor. Then, the wearable device divides the risk of the heart activity in combination with the first data and / or the third data and the electrocardiogram data of the user.

A system for testing medications for cardiac activity at elevated heart rates utilizes an array of electrodes connected to a computer and cardiomyocyte samples on the electrodes. Software implements an electrical stimulation protocol in a method of delivering an electrical signal at a baseline frequency to stimulate respective cardiomyocyte samples and calculating a functional refractory period (mISI) for the respective cardiomyocytes at the baseline frequency along with increased respectively applied frequencies of consecutive electrical signals.

Described is an apparatus for oxygenation and / or CO2 clearance of a patient, comprising: a flow source or a connection for a flow source for providing a gas flow, a gas flow modulator, a controller to control the gas flow, wherein the controller is operable to: receive input relating to heart activity and / or trachea gas flow of the patient, and control the gas flow modulator to provide a varying gas flow with one or more oscillating components with a frequency or frequencies based on the heart activity and / or trachea flow of the patient.

A method, apparatus, and computer program monitor a user's heart activity during a physical exercise. A heart activity measurement signal representing the user's heart activity is acquired and a phase component of the heart activity measurement signal is monitored. On the basis of the monitoring of the phase component, one or more actions are carried out.