Pacesetter, Inc.

St. Jude Medical, Cardiology Division, Inc.

Wenwen Li

Yun Qiao

Carlo Pappone

Nima Badie

Luke C McSpadden

Erhan Erdemir

Gene A Bornzin

Xiaoyi Min

Valtino X Afonso

Kyungmoo Ryu

Jan O Mangual-Soto

Jan Mangual

Stuart Rosenberg

Eric Jon Voth

Didier Theret

Aditya Goil

Fujian Qu

Fady Dawoud

Dennis J Morgan

Alexander R Bornzin

Chaoyi Kang

Zoltan Somogyi

Avi Fischer

Julie Prillinger

Pritika Toutam

Jong Gill

Xing Pei

Michael A Quinn

Mark Hagfors

Carin Folman

Leyla Sabet

Shubha Asopa

Craig Markovitz

Luke A McSpadden

Luke C Mcspadden

Luke Mcspadden

Certain embodiments of the present technology described herein relate to detecting atrial oversensing, characterizing atrial oversensing, determining when atrial oversensing is likely to occur, and or reducing the chance of atrial oversensing occurring. Some such embodiments characterize and/or avoid atrial oversensing.

Implantable medical systems and methods used to detect, characterize or avoid atrial oversensing within an IEGM

Described herein are implantable medical devices and systems, and methods for use therewith, for reducing T-wave oversensing and arrhythmia undersensing that occur due to inappropriate filtering of a signal indicative of cardiac electrical activity. A method includes obtaining a signal indicative of cardiac electrical activity, and using a first bandpass filter to produce a first filtered version thereof, using a second bandpass filter to produce a second filtered version thereof, wherein the first bandpass filter passes frequencies within a first frequency range, and the second bandpass filter passes frequencies within a second frequency range that is wider than the first frequency range. The method also includes selectively changing from using the first filtered version of the signal to monitor for a VS event, to using the second filtered version of the signal to monitor for a VS event, based on first criteria, and vice versa, based on second criteria.

Implantable medical devices, systems and methods for reducing T-wave oversensing and arrhythmia undersensing

The present disclosure provides an electrophysiology system to facilitate visualizing a proximity of at least one catheter electrode to a 3D geometry of a biological tissue. The system includes a computing device including at least one processor in communication with a memory, wherein the processor is configured to determine the proximity between the at least one catheter electrode and the biological tissue using at least one measurement. The system further includes a display device configured to display the 3D geometry of the biological tissue and a visual effect illustrating the proximity between the at least one catheter electrode and the biological tissue.

System and method for visualizing a proximity of a catheter electrode to a 3D geometry of biological tissue

Described herein are methods, devices and systems for determining whether an R-wave detection should be classified as a false R-wave detection due to T-wave oversensing (TWO) or P-wave oversensing (PWO). One such method includes comparing a specific morphological characteristic (e.g., peak amplitude) associated with the R-wave detection to the specific morphological characteristic associated with each R-wave detection in a first set of earlier detected R-wave detections to thereby determine whether first TWO or PWO morphological criteria are met, and in a second set of earlier detected R-wave detections to thereby determine whether second TWO or PWO morphological criteria are met, wherein the second set differs from the first set but may have some overlap with the first set.

Methods and systems for determining whether R-wave detections should be classified as false due to T-wave oversensing (TWO) or P-wave oversensing (PWO)

Described herein are methods, devices, and systems that identify ventricular sensed (VS) events from a signal indicative of cardiac electrical activity, such a far-field EGM or ECG signal, and monitor for an arrythmia and/or perform arrythmia discrimination based on the VS events. Beneficially, such embodiments reduce the probability of double-counting of R-wave, or more generally, of oversensing VS events, and thereby provide for improved arrythmia detection and arrythmia discrimination.

Robust ventricular sensing of far-field EGM or ECG signals that avoids oversensing of ventricular sensed events

A system and a method include an implantable medical device (IMD) having one or more inputs configured to receive one or more sensed signals from one or more electrodes. A plurality of filters are configured to filter the one or more sensed signals and output a plurality of filtered signals. Memory is configured to store program instructions. A processor, when executing the program instructions, is configured to receive the plurality of filtered signals, and analyze the plurality of filtered signals to determine a desired one of the plurality of filters.

Method and system for optimizing filter settings of an implantable medical device

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

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

A system and method are provided for managing atrial-ventricular (AV) delay adjustments. An AV interval is measured that corresponds to an interval between an atrial paced (Ap) event or an atrial sensed (As) event and a sensed ventricular (Vs) event. A candidate AV delay is set based on the AV interval and a bundle branch adjustment (BBA) value. A QRS characteristic of interest (COI) is measured while utilizing the candidate AV delay in connection with delivering a pacing therapy. The BBA value is adjusted and the candidate AV delay is reset based on the BBA value as adjusted. A collection of QRS COIs and corresponding candidate AV delays are obtained and one of the candidate AV delays is selected as a BBA AV delay. The pacing therapy is managed, based on the BBA AV delay.

Systems and methods for managing atrial-ventricular delay adjustments

A method of pacing a His bundle of a patient heart using a stimulation system including a memory, a pulse generator, a stimulating electrode and at least one sensing electrode includes applying a plurality of impulses through the stimulating electrode to induce a plurality of responses from the patient heart. Each impulse of the plurality of impulses is delivered at a different impulse energy corresponding to a respective output setting of the stimulation system. The response characteristics for each of the plurality of responses are measured and each impulse is assigned a classification based on whether the respective response characteristics indicate capture of one or both of the His bundle and a ventricle of the patient heart. The output setting and classification for each impulse is then stored in the memory.

Systems and methods for automated capture threshold testing and associated his bundle pacing

Disclosed herein is a catheter for delivering an implantable medical lead to an implantation site near an ostium leading to a proximal region of a coronary sinus. The catheter includes a distal end, a proximal end opposite the distal end, a tubular body extending between the distal and proximal ends, an atraumatic fixation structure defining a distal termination of the distal end, and a lead receiving lumen. The atraumatic fixation structure is configured to enter the ostium and passively pivotally anchor with the proximal region of the coronary sinus. The lead receiving lumen extends along the tubular body from the proximal end to an opening defined in a side of the tubular body near the distal end and proximal the atraumatic fixation structure.

Coronary sinus-anchored sheath for delivery of his bundle pacing lead

The present disclosure provides systems and methods for applying anti-tachycardia pacing (ATP) using subcutaneous implantable cardioverter-defibrillators (SICDs). An SICD implantable in a subject includes a case including a controller, and at least one conductive lead extending from the case. The at least one conductive lead includes a plurality of coil electrodes, wherein the SICD is configured, via the controller, to apply anti-tachycardia pacing (ATP) to the subject using the at least one conductive lead.

Systems and methods for applying anti-tachycardia pacing using subcutaneous implantable cardioverter-defibrillators

Certain embodiments of the present technology described herein relate to detecting atrial oversensing in a His intracardiac electrogram (His IEGM), characterizing atrial oversensing, determining when atrial oversensing is likely to occur, and or reducing the chance of atrial oversensing occurring. Some such embodiments characterize and/or avoid atrial oversensing within a His IEGM. Other embodiments of the present technology described herein relate to determining whether atrial capture occurs in response to His bundle pacing (HBP). Still other embodiments of the present technology described herein relate to determining whether AV node capture occurs in response to HBP.

Implantable medical systems and methods used to detect, characterize or avoid atrial oversensing within a His IEGM

System and methods are provided herein and include a HIS electrode configured to be located proximate to a HIS bundle and to at least partially define a HIS sensing vector. They system includes memory to store program instructions and cardiac activity (CA) signals for a series of beats utilizing a candidate sensing configuration. The candidate sensing configuration is defined by i) the HIS sensing vector and ii) a sensing channel that utilizes sensing circuitry configured to operate based on one or more sensing settings to detect near field and far field activity. The system includes one or more processors that, when executing the program instructions, are configured to analyze the CA signals to obtain an atrial (A) feature of interest (FOI) and a ventricular (V) FOI for the corresponding beats within the series of beats and identify a V-A FOI relation between the A FOIs and the V FOIs across the series of beats. The system adjusts the candidate sensing configuration and repeat the obtain, analyze and identify operations to obtain a collection of V-A FOI relations for a corresponding collection of candidate sensing configurations and selects a resultant sensing configuration from the collection of candidate sensing configurations based on one or more criteria, the resultant sensing configuration to be utilized to manage HIS bundle pacing during an atrial arrhythmia.

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San Jose, CA, United States of America

Wenwen Li