64 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 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.

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.

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 and system for personalized biofeedback from a wearable device that can include collecting a set of biometric inputs comprising at least heart activity data; generating a heart rate variability signal from the heart activity data; determining a feedback treatment plan which is based at least in part by processing of biometric inputs which comprises analyzing the heart rate variability signal; and delivering feedback based on the feedback treatment plan.

A device may include: a bed. A sensor may be configured to configured to: sense pressure applied to the bed; and transmit a pressure stream. A plurality of temperature sensors arranged across the bed can be configured to: sense temperature in a particular location of the bed; and transmit a datastream of the sensed temperature. A computing system comprising can be configured to: receive the pressure stream; receive each of the datastreams; identify an apnea event; generate a sequence of heart rate values for the user for cardiac activity; generate a sequence of skin temperature values for the user; determine a change in heart rate; determine a change in skin temperature within the second time window; determine a relationship between the change in heart rate and the change in skin temperature; and determine a severity score for the apnea event based on the relationship.

A system for managing an individualized cardiac plan for an ambulatory patient includes a wearable medical device configured to monitor cardiac activity of the patient and a server, including a non-transitory computer-readable storage medium and at least one server processor configured to receive baseline information corresponding to the patient completing one or more initial physical activities including a six-minute walk test, receive physician-provided information for a cardiac plan, and generate the cardiac plan using the received baseline and physician-provided information. Generating the cardiac plan includes populating the cardiac plan with pre-defined exercise sessions including walking exercises. The at least one server processor is configured to transmit the cardiac plan to the wearable medical device, receive patient data from the wearable medical device corresponding to administration of at least one exercise session, and generate a display including information about the administration of the at least one exercise session.

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

A leadless pacing system includes a leadless pacing device and a sensing extension extending from a housing of the leadless pacing device. The sensing extension includes one or more electrodes with which the leadless pacing device may sense electrical cardiac activity. The one or more electrodes of the sensing extension may be carried by a self-supporting body that is configured to passively position the one or more electrodes proximate or within a chamber of the heart other than the chamber in which the LPD is implanted.

The present disclosure relates to sensor-based training plan adjustments. A computer-implemented method for adjusting a training plan of a user includes: a database storing measurement data of physical workouts performed by the user, including at least one of heart activity measurement data and motion measurement data; receiving a user input selecting a week template for the training plan, the week template including a training schedule comprising pre-planned recurring workouts; receiving a user input indicating a recurring workout outside of the training plan; obtaining measurement data of past physical workouts of the recurring workout from the database based on the user input indicating the recurring workout; determining a training effect of the past physical workouts based on the measurement data, determining a recurring physical workout in the training schedule having a training effect closest to the training effect of the past physical workouts; adjusting the training schedule by replacing the determined recurring physical workout with the workout of the recurring workout; outputting instructions via a user interface for the user to follow the adjusted training schedule.

Embodiments of the present disclosure provide a monitoring device that combines blood pressure, SpO2, and ECG monitoring functionality into a single handheld device and can measure these parameters simultaneously. The monitoring device may comprise a first sensor comprising an electrode to measure electrical signals corresponding to cardiac activity of a user's heart and a second sensor comprising an electrode as well as an optical sensor to perform a PPG and measure an amount of light absorbed by the blood of the user concurrently with measurement of the electrical signals. The optical sensor may generate a blood pressure signal and an oxygen saturation signal based at least in part on the amount of light absorbed by the blood of the user. The optical sensor may include a neural network trained to estimate blood pressure based on PPG measurements and demographic information of the user, as discussed in further detail herein.

The invention belongs to the field of non-contact heart rate detection, and particularly discloses a non-contact real-time heart rate detection method and system based on a BCG. Comprising the steps that when it is detected that a user is tightly attached to embedded equipment, a heart rate detection command is responded, a BCG signal is obtained, and a BCG sensor is arranged in the embedded equipment; envelope detection is carried out on the BCG signal, and a vital sign signal related to the heart activity of the user is extracted from the BCG signal; obtaining a one-dimensional time domain first enhanced signal based on the vital sign signal and a first neural network model; based on the vital sign signal and a second neural network model, generating an enhanced two-dimensional time-frequency graph, and recovering the enhanced two-dimensional time-frequency graph into a one-dimensional time-domain second enhanced signal through inverse short-time Fourier transform; and performing heart rate calculation and fusion on the two paths of one-dimensional time domain enhanced signals to obtain a final heart rate estimation value. The signals are enhanced from the time domain and the frequency domain, then real-time heart rate detection is carried out, the heart rate detection precision can be effectively improved, the flexibility is high, and the real-time performance is good.

A system for monitoring a physiologic condition of a patient includes an implantable medical device (IMD) comprising: an accelerometer configured to output an accelerometer signal; sensing circuitry configured to sense a cardiac activity (CA) signal; and a memory configured to store program instructions. One or more processors that, when executing the program instructions, are configured to: determine a heart rate (HR) at a point in time based on the CA signal; determine an activity level (AL) at the point in time based on accelerometer data that is based on the accelerometer signal, the HR and AL forming an HR-AL event; compare the HR-AL event to a heart condition (HC) metric that defines combinations of HRs and ALs representing a physiologically normal heart condition and a physiologically abnormal heart condition; and transmit the HR-AL event or a result of the comparison to a second device for use in diagnosing and / or treating a heart condition.

The invention relates to the field of data processing, in particular to a heart age determination method and device, electronic equipment and a storage medium, and the method comprises the steps: minimizing the distance between heart health characterization vectors of the same heart health state output by an initial heart health encoder; performing updating iteration on the initial heart health encoder to obtain a first determination model by taking maximization of the distance between the heart health characterization vectors of different heart health states as a target; updating and iterating the first heart health encoder according to the heart fusion feature sample vector and the heart activity state and the relative heart age thereof to obtain a second determination model; and taking the heart fusion feature sample vector as a sample and the heart biological age as a label to update and iterate an age prediction module to obtain a target determination model so as to determine the heart age. According to the method and the device, the heart age can be accurately and efficiently determined through the trained determination model.

Devices, systems, and methods are disclosed. The devices, systems, and methods detect, during a sleep session of a user, one or more parameters related to movement of the user, heart activity of the user, audio associated with the user, or a combination thereof; process the one or more parameters to determine a sleep state of the user, the sleep state being at least one of awake, asleep, or a sleep stage; and calculate an apnea-hypopnea index of the user during the sleep session based at least in part on the sleep state.

A portable, wearable system and method for real-time determination and modification of a patient's cardiac electromagnetic activity. The device has a sensor array with ECG electrodes, a controller executing software, a stimulator array with at least one electromagnet and one light-emitting diode, and a power supply, optionally integrated into a belt or chest harness. The system continuously acquires ECG signals, calculates a force momentum Bion (β) based on cardiac cycle parameters, and generates synchronized electromagnetic and optical stimulation in real time, modulating output according to the patient's heart activity. Safety features include detection of electrode contact, noise, and arrhythmia, with automatic blocking of stimulation and alert generation. The device further provides wireless communication for data transmission and remote monitoring, and supports amplitude- and frequency-modulated stimulation profiles. The method includes real-time signal processing, adaptive stimulation, and configurable alerts for cardiac anomalies, enabling noninvasive cardiac monitoring and intervention.

A plurality of electrophysiology (EP) data points, each including an electrogram signal, can be used to visualize cardiac activity. Each EP data point can be characterized as substrate or healthy, and a cloud map of the substrate EP data points can be generated. A graphical representation of the cloud map can be output in combination with a graphical representation of an electrophysiology map of the healthy EP data points. In alternative embodiments, the electrogram signals can be transformed into the wavelet domain, thereby computing a plurality of scalograms, and computing a wave function of each scalogram, thereby computing a plurality of wave functions. A propagation map, such as a propagation wave map and / or propagation wave trail map, can then be generated from the wave functions and output graphically.

An implantable medical device and computer implemented methods comprise a sensing circuit configured to sense cardiac activity (CA) signals. An accelerometer is configured to be implanted in a patient and obtain accelerometer data along at least one axis. A memory is configured to store program instructions and device parameters associated with each ventricular arrhythmia (VA) therapy in a collection of VA therapies with different levels of intensity. One or more processors execute the program instructions and are configured to analyze the CA signals over one or more cardiac beats, determine a VA episode based on the analysis of the CA signals, determine a posture of the patient based on the accelerometer data in response to the determination of the VA episode, and select a first VA therapy from the collection of VA therapies based on the posture.

The present invention relates to a method for calculating cardiac activity parameters of one or more vehicle occupants (30), a computing unit (500), and a computer program for carrying out this method. The method comprises determining a cardiac activity signal (100) of one or more vehicle occupants (30) using a camera (10), determining a respiratory activity signal (100) of the vehicle occupant(s) (30) using a radar sensor (20), adjusting the determined cardiac activity signal (100) of the vehicle occupant(s) (30) as a function of the determined respiratory activity signal (200), and determining cardiac activity parameters of the vehicle occupant(s) (30) as a function of the adjusted cardiac activity signal (300).

Systems, methods, and computer program products are provided for monitoring a medical condition of a user using a physiological sensor. An example medical monitoring system includes a sensor device having a cardiac sensor and an acceleration sensor, and an electronic device communicatively coupled to the sensor device. The electronic apparatus is configured to cause the sensor device to obtain cardiac data about a user during a first time period, and to obtain acceleration data about the user during the first time period. Further, the electronic device is configured to determine, based on the data, first physiological data representative of cardiac activity of the user during the first time period and second physiological data representative of a change in the acceleration data during the time period. Further, the electronic device is configured to determine a biomarker representing a health of the user based on the first physiological data and the second physiological data, and to store a data structure representing the biomarker.

This application relates to the field of data processing, and in particular to a method, apparatus, electronic device, and storage medium for determining cardiac age. The method includes: updating and iterating an initial cardiac health encoder to obtain a first determining model, with the objective of minimizing the distance between cardiac health representation vectors of the same cardiac health state output by an initial cardiac health encoder and maximizing the distance between cardiac health representation vectors of different cardiac health states; updating and iterating the first cardiac health encoder based on cardiac fusion feature sample vectors, their cardiac activity states, and relative cardiac age to obtain a second determining model; and updating and iterating an age prediction module using cardiac fusion feature sample vectors as samples and cardiac biological age as a label to obtain a target determining model, thereby determining cardiac age. This application enables the determination model, once trained, to accurately and efficiently determine cardiac age.

A wearable training computer includes a casing having lugs for attaching a wristband to the casing, wherein at least one lug includes at least one electrode coupled with a biometric measurement circuitry arranged in the casing, and a processing circuitry configured to control the biometric measurement circuitry to perform an electric measurement based on a skin contact with at least one lug including the electrode, and further to compute at least one bioparameter on the basis of measurement data received from the biometric measurement circuitry and to output the at least one heart activity parameter to a user of the wearable training computer.

A pacing system configured to sense cardiac activity and deliver pacing therapy to a patient's heart. A pacing system may include a first electrode configured to be positioned in a first chamber of a heart and configured to deliver a first pacing therapy to the first chamber of the heart and a second electrode configured to be positioned in a left atrial appendage and configured to deliver a second pacing therapy to the left atrial appendage. A processing module of the pacing system may be configured to time delivery of a first pacing therapy based on a first timing reference and time delivery of a second pacing therapy based on a determined pacing delay between the first pacing therapy and the second pacing therapy. The determined pacing delay may be configured to maximize blood flow into and / or out of the left atrial appendage.

The application relates to the technical field of healthcare informatics, in particular to a seismocardiogram analysis system and method based on accelerometer data, wherein the system comprises a heart vibration detection unit, a motion artifact detection unit and a data processing unit. The heart vibration detection unit is arranged to collect a sternum vibration signal generated by heart activity. The motion artifact detection unit is arranged to detect a sternum posture signal generated by thoracic activity during breathing. In the application, the data processing unit acquires signals of the heart vibration detection unit and the motion artifact detection unit, encodes the signals into vector group data, performs digital filtering on the vector group data, preliminarily performs band-pass filtering to retain only low-frequency signals, and performs modal decomposition on the sternum vibration signal based on a VMD algorithm to decompose the SCG signal in the sternum posture signal based on parameter characteristics of the sternum posture signal as a constraint condition.

The present disclosure provides a kind of heart surface multi-point joint acquisition and multimodal fusion system, method and equipment, belong to heart state monitoring technical field, the system includes: heart shock signal sensor is used to be measured at multiple acquisition positions of thoracic cavity and obtains multiple initial heart shock signals, each acquisition position corresponds one initial heart shock signal;First signal processing module is used to preprocess multiple initial heart shock signals, and obtains multiple target heart shock signals;Radar signal sensor is used to emit radar signal and collect the initial radar echo signal returned by measured thoracic cavity;Second signal processing module is used to preprocess initial radar echo signal, and obtains face array radar echo signal;Data processing module is used to determine the target physiological state information for reflecting measured thoracic cavity according to multiple target heart shock signals and face array radar echo signal. More accurate heart activity information can be provided, thereby improving the accuracy of diagnosis.