135 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 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 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.

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

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.

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.

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.

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.

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 method for estimating adaptation of a circadian rhythm of a user, the method comprising: measuring a circadian phase of the user by using at least one of a skin temperature sensor, a cardiac activity sensor, and a motion sensor; measuring a sleep-wake rhythm of the user by using at least one of the cardiac activity sensor and the motion sensor, and detecting a change in the sleep-wake rhythm of the user based on the measurement; determining a setpoint phase of a circadian phase based on the altered sleep-wake rhythm; determining a target day and night phase based on the position of the user; determining a diurnal adaptation rate based on a first adaptation rate if the setpoint phase and the target phase are in the same direction with respect to the current diurnal phase, and determining a diurnal adaptation rate based on a second adaptation rate if the setpoint phase and the target phase are in opposite directions from the current diurnal phase, wherein the second adaptation rate is smaller than the first adaptation rate; and outputting, via an interface, a derived parameter of the determined circadian adaptation or the calculated circadian adaptation to be presented to a user.

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.

The invention provides an emotion recognition system based on heart activity physiological signals, and belongs to the technical field of emotion recognition, and the emotion recognition system comprises an all-polymer multimode polymer optical fiber sensing unit based on a speckle principle, and the all-polymer multimode polymer optical fiber sensing unit can detect heart physiological activities with high sensitivity and generate heart vibration signals (SCG signals). Through a signal extraction algorithm robust to motion artifacts, a method of combining frequency domain amplitude selection and sample entropy selection is utilized, and heart physiological signals are accurately extracted from signals influenced by the motion artifacts. Further, an emotion recognition machine learning algorithm based on complex network feature engineering is adopted, an Euclidean distance matrix is processed through threshold binarization to generate an SCG binary network, network topology features are extracted, and time-domain heart rate variability features and nonlinear heart rate variability features are combined and input into a support vector machine model for training and emotion classification. The system can overcome the difference of tested individuals, realizes cross-tested emotion measurement, and has good robustness and accuracy.

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 medical system including a support structure to be worn by a patient, a plurality of ECG electrodes to sense ECG signals of the patient, at least one therapy electrode to deliver pacing pulses, and a processor in communication with the plurality of ECG electrodes and the at least one therapy electrode. The processor operates the medical system according to a demand pacing function, including a fixed pacing demand mode and an intrinsic search pacing demand mode. In the intrinsic search pacing demand mode, the processor operates the demand pacing function at a maximum pacing rate for a first time interval, followed by a minimum pacing rate during an intrinsic search duration, and evaluates heart activity via ECG signals to determine if it exceeds a threshold. In the fixed pacing demand mode, the processor operates the demand pacing function at a fixed pacing rate.

A system includes an implantable medical device configured to measure blood-glucose concentration based on cardiac activity. The system further includes processing circuitry configured to generate, based on the plurality of periods, a plurality of waveforms representative of the blood-glucose concentration. The processing circuitry is further configured to identify at least one clinically significant feature that is present in each waveform. The processing circuitry is further configured to modify one or more of the plurality of waveforms such that the at least one feature is temporally aligned across the plurality of waveforms.

A computer implemented method is provided that includes, under control of one or more processors of an implantable medical device (IMD), obtaining motion data indicative of a first posture, and determining a first sense setting of the IMD based on the first posture. The method also includes obtaining cardiac activity (CA) signals for a series of beats while applying the first sense setting, obtaining a characteristic of interest (COI) from the CA signals for the series of beats, and calculating a statistical indicator from the COI over the series of beats based on the COI from the CA signals. The method also includes deriving a second sense setting based on the first sense setting and the statistical indicator of the COI.

A system for monitoring autonomic nervous system (ANS) function in a subject includes at least one sensor configured to acquire a first physiological signal related to heart activity of the subject, one or more additional sensors configured to acquire one or more physiological signals, a processing unit configured to receive, process and analyze the first and additional physiological signals to monitor / detect, in real time, at least one of an autonomic nervous system dysfunction and a change in a physiological state of the subject and determine an output condition based on the detection, and an output mechanism configured to perform, based on the output condition, generating an alert, initiating a treatment, and / or storing data. At least one of the additional sensors is a blood glucose sensor, a respiration sensor, a sudomotor activity sensor, a pulse wave sensor, an electroencephalography (EEG) sensor, an electromyography (EMG) sensor or a motion sensor.