Pacesetter, Inc.

St. Jude Medical, Cardiology Division, Inc.

Jan O Mangual-Soto

Luke C McSpadden

Nima Badie

Louis-Philippe Richer

Jong Gill

Wenwen Li

Cyrille Casset

Chunlan Jiang

Yun Qiao

Aditya Goil

Kyungmoo Ryu

Craig Markovitz

Xiaoyi Min

Fady Dawoud

Nikolaos Politis

Carin Folman

Luke C Mcspadden

Federico Calore

An electrophysiology map of a portion of a patient's anatomy can be visualized using an electroanatomical mapping system. The system receives a plurality of electrophysiology data points (e.g., an electrophysiology map), which includes a plurality of electrophysiology signals. The system then creates a distribution (e.g., a histogram) for one or more characteristics of the plurality of electrophysiology signals (e.g., dominant cycle length, regular cycle length, peak-to-peak voltage, fractionation, conduction velocity, or the like). The system then analyzes the distribution to determine a display convention (e.g., a range and scale) for a graphical representation of the characteristic based on, for example, a best-fit shape of the distribution, a skew of the distribution, a range of the distribution, and/or a most dominant value of the distribution. The graphical representation can then be output according to the display convention.

System and method for electrophysiological mapping

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.

Method and system for monitoring heart function based on heart sound center of mass

Methods and systems for dynamically modifying pacing timing and backup pacing delivery in cardiac stimulation devices include applying pacing impulses, measuring corresponding responses, and, based on such responses, automatically modifying timing or operational settings of the stimulation device to improve pacing functionality. Among other things, the approaches described herein reduce unnecessary backup pacing impulses in HIS bundle pacing applications, facilitate fusion in bundle branch block applications, and automatically enable or disable backup pacing in response to achieving QRS complex correction.

Systems and methods for improved his bundle and backup pacing timing

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.

Method and system for biventricular or left ventricular pacing

A system is provided that includes a first electrode configured to be located within a septal wall, and a second electrode configured to be located outside of the septal wall. The system also includes an impedance circuit configured to measure impedance along an impedance monitoring (IM) vector between the first and second electrodes. One or more processors are also provided that are configured to obtain impedance data indicative of an impedance along the IM vector with the first electrode located at different depths within the septal wall, the impedance data including a set of data values associated with different depths of the first electrode within the septal wall. The one or more processors are also configured to determine when the first electrode is located at a target depth within the septal wall based on the impedance data.

Method and system for implanting a septal wall electrode

The present disclosure provides systems and methods for optimizing pacing parameters of a cardiac pacing device implanted in a patient. The systems and methods measure a plurality of hemodynamic responses of the patient. Each hemodynamic response is associated with the cardiac pacing device configured with one candidate pacing parameter set of a plurality of candidate pacing parameter sets. Each candidate pacing parameter set is classified as electrically equivalent to a reference pacing parameter set according to a classification criterion. The systems and methods further identify an optimal hemodynamic response from the plurality of hemodynamic responses, and select a final candidate pacing parameter set corresponding to the optimal hemodynamic response.

Systems and methods for normalizing cardiac electrical conditions of measured hemodynamic variations for use in cardiac pacing device optimization processes

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. The processors calculate at least one of an electromechanical activation time (EMAT) or a systolic interval (SI) based on the at least one of S1 COM or S2 COM and record the at least one of the EMAT or SI.

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.

System and method for cardiac mapping

A system and method have at least one implantable lead comprising a right ventricular (RV) electrode and one or more left ventricular (LV) electrodes, at least one processor, and a memory coupled to the at least one processor. The memory stores program instructions. The program instructions are executable by the at least one processor to determine a right ventricular to left ventricular (RV-LV) conduction time representative of a conduction time between a right ventricular (RV) paced event and one or more responsive left ventricular (LV) sensed events, determine a left ventricular to right ventricular (LV-RV) conduction time representative of a conduction time between one or more LV paced event and an RV sensed events, calculate a relation between the RV-LV conduction time and the LV-RV conduction time, and set a pacing mode of an implantable medical device to one of i) a biventricular (BiV) pacing mode and ii) an LV only pacing mode based on the relation between the RV-LV conduction time and the LV-RV conduction time.

A system is provided for controlling a left univentricular (LUV) pacing therapy using an implantable medical device (IMD). The system also includes one or more processors configured to determine an atrial-ventricular (AV) conduction interval (AR) between the A site and a first RV sensed event at the RV site, determine an inter-ventricular (VV) conduction interval (R-R) between a paced event at the LV site and a second RV sensed event at the RV site, and set a ventricular refractory period (VRP) based on at least one of the AV conduction interval or the VV conduction interval and a predetermined offset. The one or more processors are also configured to blank signals over the RV sensing channel during the VRP.

System for adjusting ventricular refractory periods

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.

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.

Heart failure progression monitoring based on LV conduction pattern and morphology trends

A method and device for dynamic device based AV delay adjustment are provided. The method provides electrodes that are configured to be located proximate to an atrial (A) site and a right ventricular (RV) site. The method utilizes one or more processors, in an implantable medical device (IMD), for detecting an atrial paced (Ap) event or atrial sensed (As) event. The method determines a measured AV interval corresponding to an interval between the Ap event or the As event and a ventricular sensed event and calculates a percentage-based (PB) offset based on the measured AV interval. The method automatically dynamically adjusting an AV delay, utilized by the IMD, based on the measured AV interval and the PB offset and manages a pacing therapy, utilized by the IMD, based on the AV delay after the adjusting operation.

Method and system utilizing a percentage-based atrio-ventricular delay adjustment

A method for controlling an adaptive pacing therapy that includes utilizing one or more processors to perform measuring an atrial-ventricular (AV) interval corresponding to an interval between an atrial paced (Ap) event or an atrial sensed (As) event and a sensed ventricular (Vs) event, setting an AV delay based on the AV interval, and measuring an S1 heart sound characteristic of interest (COI) while utilizing the AV delay in connection with delivering a pacing therapy by the IMD. The one or more processors also perform adjusting the AV delay, repeating the measuring, and adjusting to obtain a collection of S1 heart sound COIs and corresponding AV delays, selecting one of the AV delays, that corresponds to a select one of the S1 heart sound COIs, as a resultant AV delay, and managing the pacing therapy, utilized by the IMD, based on the resultant AV delay.

Growing community of inventors

Rho, Italy

Jan O Mangual-Soto