Abstract: When generating anatomical maps (e.g., anatomical geometries and/or electrophysiology maps), it can be desirable to analyze whether or not a collected data point was collected from a region of interest. During an electrophysiology study, for example, an electroanatomical mapping system collects electrophysiology data points, each including an electrogram signal. By defining both a window of interest and a window of exclusion within the electrogram signal, the electroanatomical mapping system can analyze collected data points to determine whether or not they should be included in a map. In particular, the electroanatomical mapping system can compare the electrophysiology signal within the window of interest and the window of exclusion with respect to at least one signal parameter and add the data point to the map if the comparison satisfies at least one corresponding inclusion criterion. Applicable signal parameters include maximum peak-to-peak voltage, conduction velocity, and electrogram morphology.

Abstract: Computer implemented methods, devices and systems for monitoring a trend in heart failure (HF) progression are provided. The method comprises sensing left ventricular (LV) activation events at multiple LV sensing sites along a multi-electrode LV lead. The activation events are generated in response to an intrinsic or paced ventricular event. The method implements program instructions on one or more processors for automatically determining a conduction pattern (CP) across the LV sensing sites based on the LV activation events, identifying morphologies (MP) for cardiac signals associated with the LV activation events and repeating the sensing, determining and identifying operations, at select intervals, to build a CP collection and an MP collection. The method calculates an HF trend based on the CP collection and MP collection and classifies a patient condition based on the HF trend to form an HF assessment.

Abstract: Methods, systems, and devices that are used for improving cardiac resynchronization therapy (CRT) are described herein. Such a method can include, for each set of pacing parameters, of a plurality of sets of pacing parameters, performing CRT using a set of pacing parameters and simultaneously therewith sensing a plurality of intracardiac electrograms (IEGMs) using different combinations of implanted electrodes. Additionally, for each set of pacing parameters, of the plurality of sets of pacing parameters, the method includes producing a respective reconstructed multi-lead surface electrocardiogram (ECG) based on the plurality of IEGMs that were sensed while CRT was performed using the set of pacing parameters. The method also includes analyzing the reconstructed multi-lead surface ECGs that were produced for the plurality of sets of pacing parameters, and based on results thereof, identifying a set of pacing parameters to be use for further CRT.

Abstract: Systems and methods for identifying potential ablation sites using principal component analysis (PCA) are provided. A method includes generating a dataset for analysis, the dataset including a plurality of variables and generated using imaging data associated with a three-dimensional geometry that includes a plurality of vertices. The method further includes performing PCA on the generated dataset to identify a plurality of principal components and to generate, for each vertex of the plurality of vertices, a score associated with each of the plurality of principal components. The method further includes transposing the scores for each vertex onto the three-dimensional geometry, and displaying, using the computing device, the three-dimensional geometry including the transposed scores to facilitate identifying potential ablation sites.

Abstract: Systems and methods for identifying potential ablation sites using principal component analysis (PCA) are provided. A method includes generating a dataset for analysis, the dataset including a plurality of variables and generated using imaging data associated with a three-dimensional geometry that includes a plurality of vertices. The method further includes performing PCA on the generated dataset to identify a plurality of principal components and to generate, for each vertex of the plurality of vertices, a score associated with each of the plurality of principal components. The method further includes transposing the scores for each vertex onto the three-dimensional geometry, and displaying, using the computing device, the three-dimensional geometry including the transposed scores to facilitate identifying potential ablation sites.

Abstract: An implantable medical device (IMD) is provided and includes electrodes configured to be located in or about a heart. The electrodes include a bipolar electrode combination that define a bipolar sensing vector. The electrodes include a unipolar electrode combination that define a unipolar sensing vector. The IMD includes sensing circuitry configured to define a first sensing channel coupled to the bipolar electrode combination and a second sensing channel coupled to the unipolar electrode combination.

Abstract: The signal quality of an electrophysiological signal can be determined from information regarding proximal stability of an electrophysiology catheter at the time the signal is acquired and temporal stability of the electrophysiological signal. The proximal stability information can include a distance between the electrophysiology catheter and an anatomical surface, a velocity of the electrophysiology catheter, and/or contact force between the electrophysiology catheter and the anatomical surface. Graphical representations of signal quality scores can be output to a display in order to enable visualization thereof by a practitioner.

Abstract: Systems and methods for identifying potential ablation sites using electrical parameter data are provided. A method includes geometrically isolating an arrhythmogenic substrate in a three-dimensional geometry. The method further includes generating a first cumulative map from a first dataset including electrical parameter data for each vertex in the isolated arrhythmogenic substrate, and generating a second cumulative map from a second dataset including additional data for each vertex. The method further includes generating a third cumulative map from the first and second cumulative maps, and displaying the third cumulative map on the three-dimensional geometry to facilitate identifying potential ablation sites.

Abstract: The present disclosure is directed to merging data acquired from differently configured catheters on a common map. In use, physical characteristics of catheters influence recorded electrical signals/responses such that differently configured catheters (e.g., different electrode sizes, shapes, materials, spacings, etc.) may record different responses to measurements taken at the same location in response to the same excitation signal. To allow merging of data from differently configured catheters in a common map, the present disclosure applies a corrective coefficient or transfer function to the recorded electrical signals of one or both catheters to counter-balance variable influences of catheter specific characteristics on recorded signals.

Abstract: A system and method for monitoring heart function based on heart sounds (HS) is provided. The system includes electrodes configured to sense electrical cardiac activity (CA) signals over a period of time. An HS sensor is configured to sense HS signals over the period of time. The system includes memory to store specific executable instructions and includes one or more processors that, when executing the specific executable instructions, is configured to: identify a characteristic of interest (COI) of a heartbeat from the CA signals. The processors overlay a HS search window onto an HS segment of the HS signals based on the COI from the CA signals and calculate a center of mass (COM) for at least one of S1 or S2 HS based on the HS segment of the HS signals within the search window to obtain a corresponding at least one of S1 COM or S2 COM.

Abstract: 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.

Abstract: Devices, systems and methods are provided for stabilizing and grasping tissues such as valve leaflets, assessing the grasp of these tissues, approximating and fixating the tissues, and assessing the fixation of the tissues to treat cardiac valve regurgitation, particularly mitral valve regurgitation.

Abstract: Computer implemented methods, devices and systems for monitoring a trend in heart failure (HF) progression are provided. The method comprises sensing left ventricular (LV) activation events at multiple LV sensing sites along a multi-electrode LV lead. The activation events are generated in response to an intrinsic or paced ventricular event. The method implements program instructions on one or more processors for automatically determining a conduction pattern (CP) across the LV sensing sites based on the LV activation events, identifying morphologies (MP) for cardiac signals associated with the LV activation events and repeating the sensing, determining and identifying operations, at select intervals, to build a CP collection and an MP collection. The method calculates an HF trend based on the CP collection and MP collection and classifies a patient condition based on the HF trend to form an HF assessment.

Abstract: Systems and methods for resolving catheter rendering issues are provided. A system includes a catheter including a plurality of electrodes and a plurality of catheter pins, each catheter pin corresponding to an associated electrode. The system further includes a mapping system communicatively coupled to the catheter, the mapping system including a pin box including a plurality of sockets, a display device configured to render the catheter, and an electronic control unit (ECU). The ECU is configured to determine that the catheter is being rendered incorrectly on the display device, determine a number of electrodes that are being rendered incorrectly on the display device, identify at least one particular electrode of the plurality of electrodes that is being rendered incorrectly on the display device, and attempt to resolve the incorrect rendering of the catheter based on the determined number of electrodes and the at least one particular electrode.

Abstract: Computer implemented methods, devices and systems for monitoring a trend in heart failure (HF) progression are provided. The method comprises sensing left ventricular (LV) activation events at multiple LV sensing sites along a multi-electrode LV lead. The activation events are generated in response to an intrinsic or paced ventricular event. The method implements program instructions on one or more processors for automatically determining a conduction pattern (CP) across the LV sensing sites based on the LV activation events, identifying morphologies (MP) for cardiac signals associated with the LV activation events and repeating the sensing, determining and identifying operations, at select intervals, to build a CP collection and an MP collection. The method calculates an HF trend based on the CP collection and MP collection and classifies a patient condition based on the HF trend to form an HF assessment.

Abstract: A method of generating a map of a portion of a patient's anatomy using an electroanatomical mapping system includes separating an anatomical region (e.g., the heart) into an inclusion region (e.g., the left atrium) and an exclusion region (e.g., the left ventricle) by defining a boundary surface (e.g., along the mitral valve). A label electrode carried by a multi-electrode catheter can be defined and used to determine whether or not to add an electrophysiology data point collected using the multi-electrode catheter to the map. In particular, electrophysiology data points can be added to the map of the portion of the patient's anatomy when they are collected with the label electrode within the inclusion region. Positions of the label electrode can also be used to define the boundary surface. Alerts can also be provided when the label electrode crosses the boundary surface and enters the exclusion region.

Abstract: A method of generating an electrophysiology map of a portion of a patient's anatomy using an electroanatomical mapping system, includes defining a plurality of inclusion criteria, collecting a plurality of electrophysiology data points, each being associated with inclusion data, and identifying those electrophysiology data points that have inclusion data satisfying the inclusion criteria. The inclusion criteria can then be automatically adjusted to drive the number of electrophysiology data points having inclusion data satisfying the inclusion criteria towards a target number. A graphical representation of the electrophysiology map can be rendered using the final set of electrophysiology data points.

Abstract: When generating anatomical maps (e.g., anatomical geometries and/or electrophysiology maps), it can be desirable to analyze whether or not a collected data point was collected from a region of interest. During an electrophysiology study, for example, an electroanatomical mapping system collects electrophysiology data points, each including an electrogram signal. By defining both a window of interest and a window of exclusion within the electrogram signal, the electroanatomical mapping system can analyze collected data points to determine whether or not they should be included in a map. In particular, the electroanatomical mapping system can compare the electrophysiology signal within the window of interest and the window of exclusion with respect to at least one signal parameter and add the data point to the map if the comparison satisfies at least one corresponding inclusion criterion. Applicable signal parameters include maximum peak-to-peak voltage, conduction velocity, and electrogram morphology.

Abstract: 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.

Abstract: 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.