Abstract: 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.

Abstract: 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.

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: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for designating between types of activation by a pulse generator configured to deliver a left ventricular (LV) pacing pulse at an LV pacing site as part of a cardiac resynchronization therapy (CRT) are provided. The system includes a sensing channel configured to collect cardiac activity (CA) signals along at least one sensing vector extending through a septal wall between the LV and right ventricle (RV). The CA signals are indicative of one or more beats and include a pre-LV pacing segment indicative of cardiac activity preceding the LV pacing pulse and a post-LV pacing segment indicative of cardiac activity following the LV pacing pulse. The system includes memory to store program instructions. One or more processors are configured to implement the program instructions to analyze the pre-LV pacing segment to identify a first myocardium activation (MA) characteristic of interest (COI).

Abstract: Computer implemented methods and systems are provided that comprise, under control of one or more processors of a medical device, where the one or more processors are configured with specific executable instructions. The methods and systems obtain motion data indicative of at least one of a posture or a respiration cycle; obtain cardiac activity (CA) signals for a series of beats; identify whether a characteristic of interest (COI) from at least a first segment of the CA signals exceeds a COI limit; analyze the motion data to determine whether at least one of the posture or respiration cycle at least in part caused the COI to exceed the COI limit. Based on the analyzing operation, the methods and systems automatically adjust a CA sensing parameter utilized by the medical device to detect R-waves in subsequent CA signals; and detect an arrhythmia based on a presence or absence of one or more of the R-waves in at least a second segment of the CA signals.

Abstract: Computer implemented methods and systems are provided that comprise, under control of one or more processors of a medical device, where the one or more processors are configured with specific executable instructions. The methods and systems obtain motion data indicative of at least one of a posture or a respiration cycle; obtain cardiac activity (CA) signals for a series of beats; identify whether a characteristic of interest (COI) from at least a first segment of the CA signals exceeds a COI limit; analyze the motion data to determine whether at least one of the posture or respiration cycle at least in part caused the COI to exceed the COI limit. Based on the analyzing operation, the methods and systems automatically adjust a CA sensing parameter utilized by the medical device to detect R-waves in subsequent CA signals; and detect an arrhythmia based on a presence or absence of one or more of the R-waves in at least a second segment of the CA signals.

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 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for His bundle pacing and classifying response to pacing impulses include applying, using a pulse generator, an impulse through a stimulating electrode to induce a response from a patient heart. A response to the impulse is measured using at least one sensing electrode and time-domain based characteristics of the response are analyzed to determine whether His bundle capture has occurred and, if so, what type of capture has occurred.

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 system and method for designating between types of activation by a pulse generator configured to deliver a left ventricular (LV) pacing pulse at an LV pacing site as part of a cardiac resynchronization therapy (CRT) are provided. The system includes a sensing channel configured to collect cardiac activity (CA) signals along at least one sensing vector extending through a septal wall between the LV and right ventricle (RV). The CA signals are indicative of one or more beats and include a pre-LV pacing segment indicative of cardiac activity preceding the LV pacing pulse and a post-LV pacing segment indicative of cardiac activity following the LV pacing pulse. The system includes memory to store program instructions. One or more processors are configured to implement the program instructions to analyze the pre-LV pacing segment to identify a first myocardium activation (MA) characteristic of interest (COI).

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.