40 results about "Cardiac activity" patented technology

An unverified activity metric is obtained for an activity performed by a user (602). The activity metric may be the distance travelled by the user, the number of repeated actions performed by the user, or an activity intensity classification. Physiological data is obtained for the user while performing the activity (604). The physiological data may be cardiac activity data, capacitance data, temperature data, or bioimpedance. The activity metric is verified by applying a verification function that uses the physiological data to verify that the user performed the activity (606). The verification function may verify that the physiological sensor is in proximity with the user from the physiological data.

The systems and methods can accurately and efficiently determine abnormal cardiac activity from motion data and / or cardiac data using techniques that can be used for long-term monitoring of a patient. In some embodiments, the method for using machine learning to determine abnormal cardiac activity may include receiving one or more periods of time of cardiac data and motion data for a subject. The method may include applying a trained deep learning architecture to each tensor of the one or more periods of time to classify each window and / or each period into one or more classes using at least the one or more signal quality indices for the cardiac data and the motion data and cardiovascular features. The deep learning architecture may include a convolutional neural network, a bidirectional recurrent neural network, and an attention network. The one or more classes may include abnormal cardiac activity and normal cardiac activity.

The invention relates to a signal processing unit and a method which performs an estimation (Sig res,est ) for a respiratory signal. This respiratory signal is a measure of a patient's own spontaneous breathing and / or mechanical ventilation. A summed signal (Sig) is calculated from measurements taken in or on the patient's body. Sum ) generates a signal that includes the respiratory and a cardiogenic signal. By influencing the sum signal (Sigmoidal frequency), the influence of cardiac activity on the sum signal (Sigmoidal frequency) is determined. Sum ) is compensated, an intermediate signal (Sig) is used. com ) calculated. A reference attenuation signal section describes the average time course of the contribution of the cardiogenic signal to the intermediate signal (Sig). com For each detected heartbeat, an intermediate signal segment [SigA] is generated. com (x)] is generated. From this, a damped intermediate signal section [SigA] is created. com,d(x)] is generated, for which a fitted attenuation signal section [Mod(1)(x), ..., Mod(n)(x)] is applied to the intermediate signal section. The fitted attenuation signal section [Mod(1)(x), ..., Mod(n)(x)] is calculated from the reference attenuation signal section using at least one quality measure [Q(30), Q(31)].

Systems and methods are provided for detecting arrhythmias in cardiac activity is provided. The systems and methods include measuring conduction delays between an atria (A) and multiple left ventricular (LV) electrodes to obtain multiple intrinsic A / LV intervals, measuring conduction delays between a right ventricular (RV) and the multiple LV electrodes to obtain multiple intrinsic VV intervals. The systems and methods include calculating a first atrial ventricular (AV) delay based on at least one of the intrinsic A / LV intervals, and calculating a second AV delay based on at least one of the intrinsic VV intervals. The systems and methods include selecting a biventricular (BiV) pacing mode or an LV only pacing mode based on a relation between the first and second AV delays, and delivering a pacing therapy based on the selecting operation.

Described herein are methods for use with an implantable system including at least an atrial leadless pacemaker (aLP). Also described herein are specific implementations of an aLP, as well as implantable systems including an aLP. In certain embodiments, the aLP senses a signal from which cardiac activity associated with a ventricular chamber can be detected by the aLP itself based on feature(s) of the sensed signal. The aLP monitors the sensed signal for an intrinsic or paced ventricular activation within a ventricular event monitor window. In response to the aLP detecting an intrinsic or paced ventricular activation itself from the sensed signal within the ventricular event monitor window, the aLP resets an atrial escape interval timer that is used by the aLP to time delivery of an atrial pacing pulse if an intrinsic atrial activation is not detected within an atrial escape interval.

A mechanism for automatically generating and ranking M-mode lines for generating or defining M-mode data usable to assess fetal heart activity, e.g. determine a fetal heart rate. A region of interest, containing a fetal heart, in a sequence of ultrasound images is identified. The region of interest is used to define the position of each of a plurality of M-mode lines, e.g. anatomical M-mode lines. A quality measure of each M-mode line is determined based on M-mode data generated for each M-mode line, and the quality measures are then used to rank the M-mode lines.

A system for cardiac electrical stimulation treatment, comprising: an implantable pulse generator; one or more leads extending from the pulse generator to the heart for applying cardiac electrical stimulation; a controller programmed with at least one treatment plan for applying cardiac electrical stimulations, the controller configured to automatically update the treatment plan in response to actual cardiac activity by updating one or more parameters including: a time period during which cardiac electrical stimulations are applied; a rate of cardiac electrical stimulations; an amount of energy delivered at each cardiac electrical stimulation.

A leadless implantable medical device (IMD) and method of using same are provided. The IMD comprises: a housing, a fixation element, electrodes configured to sense electrical cardiac activity (CA) signals over a period of time, an HS sensor configured to sense HS signals over the period of time, memory to store specific executable instructions, and one or more processors. The one or more processors and method: identify a characteristic of interest (COI) of a heartbeat from the CA signals, calculate a center of mass (COM) for at least one HS based on the HS signals to obtain a corresponding at least one HS COM, and calculate at least one of a therapy-related (TR) delay or a sensing-related (SR) blanking interval (BI) based on the at least one HS COM.

This disclosure is directed to systems and techniques for determining an evidence level of an atrial tachycardia (AT) episode based on heart beat intervals in the cardiac activity data over a pre-determined time period. Based on a determination that the evidence level indicates relatively regular heart beat intervals, the example techniques apply a first set of AT detection criteria and indicate a detection of an AT episode based on satisfaction of at least one of the first set of AT detection criteria. Based on a determination that the evidence level indicates relatively irregular heart beat intervals, the example techniques apply a second set of AT detection criteria and indicate a detection of an AT episode based on based on satisfaction of at least one of the second set of AT detection criteria.

A leadless implantable medical device (IMD) and method of using same are provided. The IMD comprises: a housing, a fixation element, electrodes configured to sense electrical cardiac activity (CA) signals over a period of time, an HS sensor configured to sense HS signals over the period of time, memory to store specific executable instructions, and one or more processors. The one or more processors and method: identify a characteristic of interest (COI) of a heartbeat from the CA signals, calculate a center of mass (COM) for at least one HS based on the HS signals to obtain a corresponding at least one HS COM, and calculate at least one of a therapy-related (TR) delay or a sensing-related (SR) blanking interval (BI) based on the at least one HS COM.

A mechanism for automatically generating and ranking M-mode lines for generating or defining M-mode data usable to assess fetal heart activity, e.g. determine a fetal heart rate. A region of interest, containing a fetal heart, in a sequence of ultrasound images is identified. The region of interest is used to define the position of each of a plurality of M-mode lines, e.g. anatomical M-mode lines. A quality measure of each M-mode line is determined based on M-mode data generated for each M-mode line, and the quality measures are then used to rank the M-mode lines.

The present disclosure provides a non-linear, heart rate adaptive, cardiac artifact filter designed to reduce cardiac artifacts in a patient's impedance respiration signal. The patient's impedance respiration signal may be acquired using electrocardiogram (“ECG”) sensors and may be impacted by the patient's cardiac activity. This impact occurs at a single dynamically changing frequency determined from heart rate measurement. The adaptive cardiac artifact filter can be used to filter unwanted cardiac artifacts from the impedance respiration signal to provide a more accurate representation of the patient's cardiac activity. A filtered impedance respiration signal can then be displayed or analyzed to further the monitoring and treatment of the patient. The heart rate adaptive, cardiac artifact filter may be implemented in a physiological monitoring device that may be, in turn, a part of a system.

A system comprises a catheter configured for delivery to a body cavity defined by surrounding tissue; a plurality of ultrasound transducers coupled to a distal end of the catheter; and an electronics module configured to selectively turn on / off each ultrasound transducer according to a predetermined activation sequence and to process signals received from each ultrasound transducer to produce at least a 2D display of the surrounding tissue. A user can selectively calculate and display various aspects of cardiac activity. The user can display Dipole Density (DDM), Charge Density (CDM), or Voltage (V-V). The shape and location of the chamber (surface), and the potentials recorded at electrodes can be displayed. The system can also change back and forth between the different display modes, and with post processing tools, can change how various types of information is displayed. Methods are also provided.

The invention belongs to the technical field of cardio-pulmonary resuscitation equipment, and particularly discloses a multifunctional cardio-pulmonary resuscitation control method and system integrating pacing, defibrillation and pressing, and the method comprises the following steps: collecting an electrocardio rhythm of a patient, and judging whether the electrocardio rhythm of the patient is a defibrillable rhythm or a non-defibrillable rhythm; if the electrocardio rhythm of the patient is a defibrillable rhythm, defibrillation is executed immediately; if the electrocardio rhythm of the patient is an undefibrillable rhythm, the pressing module is controlled to execute pressing, and whether the pace-making module is controlled to output pace-making pulses and the output time sequence or not is determined according to the specific type of the undefibrillable rhythm. By the adoption of the technical scheme, different treatment modes are adopted for patients with rhythms incapable of being defibrillated according to whether electrocardio activities exist or not, and the pace-making function, the defibrillation function and the pressing function are integrated.

A device configured to be positioned on a limb of a user, includes a physiological sensor configured to generate a cardiac signal characteristic of a user's cardiac activity, an ultrasound transducer configured to generate a Doppler signal characteristic of blood flow in the limb, a control unit configured to: receive a cardiac signal from the physiological sensor, analyze the received cardiac signal, and in response to detection of a suspected cardiac arrhythmia in the cardiac signal analysis, activate the ultrasound transducer to generate a Doppler signal.

To provide a machine learning system and method that separate abnormal heart activities into different classes.SOLUTION: A method implemented by a determination engine is provided. The method includes receiving one or more pairs of heart beats, generating a model based on the one or more pairs of heart beats, and determining whether two given heart beats are part of the same arrythmia to produce a similarity result for algorithmic input.SELECTED DRAWING: Figure 1

A system and method provide real-time detection of return of spontaneous circulation (ROSC) during cardiac arrest using at least one Doppler ultrasound patch with a pulsed-wave or continuous wave ultrasound transducer that emits an ultrasound beam into a subject's skin over a carotid, femoral, or brachial artery and receives at least one Doppler return signal indicative of blood flow. A fixation mechanism secures the transducer in a fixed position relative to the carotid, femoral, brachial artery, and a wired or wireless communication interface transmits the Doppler return signal to a processing unit. The processing unit receives and analyzes the Doppler return signal using a Doppler-Integrated Cardiac Arrest Flow Analysis (DICAF) algorithm, which uses a machine learning model trained on annotated Doppler waveform datasets to detect a first blood flow pattern generated by chest compressions and a second blood flow pattern generated by intrinsic cardiac activity. The system determines ROSC in real time and generates an alert for the user. The system can also monitor the quality of blood flow generated by chest compressions to guide cardiopulmonary resuscitation.

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.

A system includes a catheter configured for delivery into a body cavity defined by surrounding tissue; a plurality of ultrasound transducers connected to the distal end of the catheter; and an electronic module configured to selectively turn each ultrasound transducer on / off according to a predetermined activation sequence, and to process signals received from each ultrasound transducer to generate at least a 2D display of the surrounding tissue. The user can selectively calculate and display various aspects of cardiac activity. The user can display dipole density (DDM), charge density (CDM), or voltage (V-V). The shape and location of the chamber (surface) and the potential recorded on the electrodes can be displayed. The system can also switch between different display modes, and the display of various types of information can be altered using post-processing tools. A method is also provided.

The following relates generally to an injectable cardiac monitor. In some embodiments, an injectable cardiac monitor includes: a sensor configured to detect a cardiac signal from a mammal, a processor configured to process the detected cardiac signal, a transmitter configured to transmit the processed signal to a computing device, and a capsule for injecting into the mammal. In some implementations, the capsule includes: a body configured to enclose all of the sensor, the processor, and the transmitter, and wings configured to, upon deployment into the mammal, deploy outwardly from the body of the capsule.

Implantable medical systems enter an exposure mode of operation, either manually via a down linked programming instruction or by automatic detection by the implantable system of exposure to a magnetic disturbance. A controller then determines the appropriate exposure mode by considering various pieces of information including the device type including whether the device has defibrillation capability, pre-exposure mode of therapy including which chambers have been paced, and pre-exposure cardiac activity that is either intrinsic or paced rates. Additional considerations may include determining whether a sensed rate during the exposure mode is physiologic or artificially produced by the magnetic disturbance. When the sensed rate is physiologic, then the controller uses the sensed rate to trigger pacing and otherwise uses asynchronous pacing at a fixed rate.

An implantable medical device (1) for performing a cardiac stimulation comprises a generator device (12) comprising a processing circuitry (120) for processing electrical signals, an electrode lead (10, 11) connected to the generator device (12) and extending from the generator device (12), the electrode lead (10) comprising a lead body (100) forming a distal end (101) to be arranged on cardiac tissue within a patient's heart (H), and an electrode pole arrangement comprising at least three electrode poles (102, 103, 121). The processing circuitry (120) is configured to generate an electrical stimulation signal (P) and to provide the electrical stimulation signal (P) to said electrode pole arrangement for stimulating cardiac activity. The processing circuitry (120) furthermore is configured to measure at least two electrical response signals (S, SA, SB, SC) indicative of a stimulated cardiac activity in response to said electrical stimulation signal (P) using at least two different pairs of electrode poles out of said at least three electrode poles (102, 103, 121) and to derive information indicative of a stimulation effectiveness of said electrical stimulation signal (P) based on said at least two electrical response signals (S, SA, SB, SC).

To provide a medical monitoring system.SOLUTION: The medical monitoring system includes a sensor apparatus configured to be attached to a body of a user and an electronic device communicatively coupled to the sensor apparatus. The sensor device includes a physiological sensor for acquiring physiological data representing cardiac activity of the user and an acceleration sensor for acquiring acceleration data representing motion of the user. The electronic device includes a processor configured to (i) cause the sensor arrangement to obtain physiological data and acceleration data during a time period, (ii) determine a biomarker representative of a health condition of the user based on the physiological data and the acceleration data, wherein the biomarker is representative of a relationship between a rate of movement of the user and a cardiac activity of the user during the time period, (iii) generate a data structure representative of the biomarker, and (iv) store the data structure in a hardware storage device.SELECTED DRAWING: Figure 3

A system for cardiac electrical stimulation therapy includes an implantable pulse generator, one or more leads extending from the implantable pulse generator to the heart for applying cardiac electrical stimulation, and a controller programmed with at least one therapy program for applying the cardiac electrical stimulation, the controller configured to automatically update the therapy program in response to actual cardiac activity by updating one or more parameters including a time period for applying cardiac electrical stimulation, a cardiac electrical stimulation rate, an amount of energy delivered per cardiac electrical stimulation.

An implantable medical device and method are described that include a housing, a right ventricle (RV) near field (NF) electrode, a far field (FF) electrode, and sensing circuitry. The housing contains one or more processors. The RV NF electrode is electrically connected to the one or more processors and configured to be located within the RV of a heart of a patient and either in contact with ventricular myocardial tissue of the heart or within a threshold proximity of the ventricular myocardial tissue. The FF electrode is configured to be positioned beyond the threshold proximity of the ventricular myocardial tissue. The sensing circuitry is coupled to the RV NF electrode and the FF electrode and configured to define an atrial sensing vector to collect atrial sensing data associated with atrial cardiac activity. The one or more processors are configured to receive the atrial sensing data.

A computer implemented method and system for detecting an arrhythmia are provided. The method is under control of one or more processors configured with executable instructions. The method obtains far field cardiac activity (CA) signals sensed at electrodes located remote from a heart over a period of time and applies a feature attenuation filter to the CA signals to form modified CA signals. The feature attenuation filter reduces potential T-waves as a feature not of interest. The method calculates a duty cycle (DC) characteristic of the modified CA signals with respect to duty cycle boundaries and detects an arrhythmia based on the DC characteristic.

The present invention is entitled “3D Intracardiac Activity Presentation.” In one embodiment, a medical system includes a catheter configured to be inserted into a chamber of the heart of a living subject and including catheter electrodes configured to contact tissue at corresponding locations within the chamber of the heart; a display; and processing circuitry configured to receive signals from the catheter and sample voltage values ​​of the signals at corresponding sampling times in response to the signals; calculate corresponding curved three-dimensional surfaces describing the electrical activity of the tissue on the catheter electrodes at corresponding sampling times in response to: (a) corresponding locations of the corresponding catheter electrodes, and (b) corresponding sampled voltage values ​​indicating the electrical activity of the tissue sensed by the corresponding catheter electrodes at the corresponding locations at the corresponding sampling times, and present the corresponding three-dimensional surfaces to the display over time.

Systems and methods assess cardiac function based on isolating components of a vibrational signature which are attributable to heart valve closure and bulk movement of a heart during each cardiac cycle.

A non-transvenous ICD system comprises a defibrillation generator, a controller, an electrode line, a shock electrode arranged at the electrode line and at least three sensing electrodes arranged at various positions within the ICD system. The defibrillation generator is configured for generating electric shocks and applying the electric shocks to cardiac tissue of a patient via the shock electrode. The controller is configured for(i) sensing plural signals indicating a cardiac activity by detecting an electric voltage along each of a plurality sensing vectors, wherein each sensing vector extends between two of the sensing electrodes,(ii) automatically selecting at least one of the sensed signals based on predetermined criteria being fulfilled, and(iii) controlling the defibrillation generator for generating the electric shocks based on the at least one selected signal.

An implantable medical device (1) for performing a cardiac stimulation comprises a generator device (12) comprising a processing circuitry (120) for processing electrical signals, an electrode lead (10, 11) connected to the generator device (12) and extending from the generator device (12), the electrode lead (10) comprising a lead body (100) forming a distal end (101) to be arranged on cardiac tissue within a patient's heart (H), and an electrode pole arrangement comprising at least a first electrode pole (102) and a second electrode pole (103, 121). The processing circuitry (120) is configured to generate an electrical stimulation signal and to provide the electrical stimulation signal to said electrode pole arrangement for stimulating cardiac activity. The processing circuitry (120) furthermore is configured to measure, using said electrode pole arrangement, an impedance curve (C1, C2) indicative of a stimulated cardiac activity in response to said electrical stimulation signal and to derive information indicative of a stimulation effectiveness of said electrical stimulation signal based on said impedance curve (C1, C2).