Abstract: Implantable medical devices (IMDs), systems, and methods for use therewith are disclosed. One such method is for use by a leadless pacemaker (LP) configured to perform conductive communication with another implantable medical device (IMD). The method includes the LP storing information that specifies when, within a cardiac cycle, the LP and the other IMD implanted in a patient are likely oriented relative to one another such that conductive communication therebetween should be successful. The method also includes the LP sensing a signal indicative of cardiac activity of the patient over a plurality of cardiac cycles, and outputting one or more conductive communication pulses, during a portion of at least one of the cardiac cycles, wherein the portion of the at least one of the cardiac cycles is identified based on the signal that is sensed and the information that is stored.

Abstract: 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.

Abstract: A subcutaneous implantable medical device and method (SIMD) provided. A pulse generator (PG) is configured to be positioned subcutaneously within a lateral region of a chest of a patient. The PG has a housing that includes a PG electrode. The PG has an electronics module. An elongated lead is electrically coupled to the pulse generator. The elongated lead includes a first electrode that is configured to be positioned along a first parasternal region proximate a sternum of the patient and a second electrode that is configured to be positioned at an anterior region of the patient. The first and second electrodes are coupled to be electrically common with one another. The electronics module is configured to provide electrical shocks for antiarrhythmic therapy along at least one shocking vector between the PG electrode and the first and second electrodes.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for modeling patient-specific spinal cord stimulation (SCS) is disclosed. The system and method acquire impedance and evoked compound action potential (ECAP) signals from a lead positioned proximate to a spinal cord (SC). The lead includes at least one electrode. The system and method determine a patient-specific anatomical model based on the impedance and ECAP signals, and transform a dorsal column (DC) map template based on a DC boundary of the patient-specific anatomical model. Further, the system and method map the transformed DC map template to the patient-specific anatomical model. The system and method may also include the algorithms to solve extracellular and intracellular domain electrical fields and propagation along neurons. The system and method may also include the user interfaces to collect patient responses and compare with the patient-specific anatomical model as well as using the patient-specific anatomical model for guiding SCS programming.

Abstract: 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.

Abstract: An implantable system includes a first leadless pacemaker (LP1) implanted in or on a first chamber of a heart and a second leadless pacemaker (LP2) implanted in or on a second chamber of the heart. The LP1 is configured to time delivery of one or more pacing pulses delivered to the first chamber of the heart based on timing of cardiac activity associated with the second chamber of the heart detected by the LP1 itself. The LP1 is also configured to transmit implant-to-implant (i2i) messages to the LP2. The LP2 is configured to time delivery of one or more pacing pulses delivered to the second chamber of the heart based on timing of cardiac activity associated with the second chamber of the heart as determined based on one or more i2i messages received by the LP2 from the LP1.

Abstract: Systems and methods for implanting a lead. The system includes an active guidewire having proximal and distal ends. The distal end includes a guidewire anchor that is configured to be attached to a target SOL. The active guidewire is configured to be utilized to electrically map the target SOI by at least one of delivering stimulation energy through the active guide wire to the target SOI or sensing an evoked response at the target SOI from the guidewire. The system also includes a lead having a lead body with proximal and distal ends and with a lumen extending between the proximal and distal ends. The distal end of the lead body is configured to receive the proximal end of the active guidewire. The lumen is configured to permit the lead body to be advanced over the active guidewire.

Abstract: A system and method for modeling patient-specific spinal cord stimulation (SCS) is disclosed. The system and method acquire impedance and evoked compound action potential (ECAP) signals from a lead positioned proximate to a spinal cord (SC). The lead includes at least one electrode. The system and method determine a patient-specific anatomical model based on the impedance and ECAP signals, and transform a dorsal column (DC) map template based on a DC boundary of the patient-specific anatomical model. Further, the system and method map the transformed DC map template to the patient-specific anatomical model. The system and method may also include the algorithms to solve extracellular and intracellular domain electrical fields and propagation along neurons. The system and method may also include the user interfaces to collect patient responses and compare with the patient-specific anatomical model as well as using the patient-specific anatomical model for guiding SCS programming.

Abstract: Methods and systems are provided herein for pacing a HIS bundle of a patient heart using an implantable medical device (IMD). The methods and systems obtain cardiac activity (CA) signals over a HIS sensing channel, the HIS sensing channel utilizing a HIS electrode; identify at least one of a P-wave duration (PWD), an intrinsic atrial-HIS (AH) delay, or an intrinsic atrial conduction delay (IACD); calculate an atrial oversensing avoidance (AOA) window based on at least one of the PWD, AH delay or IACD; analyze the CA signals, obtained over the HIS sensing channel during the AOA window, for an atrial activity (AA) component; based on the analyzing operation, adjust a ventricular event (VE) sensitivity profile utilized by the HIS sensing channel; monitor the CA signals, obtained over the HIS sensing channel during an alert window based on the VE sensitivity profile, for a ventricular component indicative of a ventricular event; and manage HIS bundle pacing based on the ventricular event.

Abstract: Methods and implantable medical devices (IMDs) are provided for monitoring a cardiac function of a heart. A heart sound sensor is configured to sense heart sound signals of the subject. The IMD includes a memory to store program instructions. The IMD includes a processor that, when executing the program instructions, is configured to identify S2 signal segment from the heart sound signals, analyze the S2 signal segment to identify a pulmonary valve signal (P2 signal) and an aortic valve signal (A2 signal) within an S2 signal segment of the heart sound signals. The processor is configured to determine a time interval between the A2 and P2 signals, characterize the S2 signal segment to exhibit a first type of S2 split based on the time interval, and identify a cardiac condition based on a comparison of the first type of S2 split and a cardiac condition matrix.

Abstract: A system and method are provided. The system includes a HIS electrode configured to be located proximate to a HIS bundle. A pulse generator is coupled to the HIS electrode and is configured to deliver HIS bundle pacing (HBP), a right atrial (RA) electrode is located in a right atrium, a sensing circuitry coupled to the RA electrode and defines an RA sensing channel that does not utilize the HIS electrode. The system includes a memory including program instructions. The system includes a processor is configured to collect cardiac activity (CA) signals over the RA sensing channel utilizing the RA electrode. The CA signals include a far field (FF) component associated with a ventricular event (VE). The processor analyzes the FF component to identify first and second FF component (FFC) characteristics of interest (COI) of the ventricular event and utilizes the first FFC COI to apply a first capture class (CC) discriminator to distinguish between first and second capture classes.

Abstract: Computer implemented methods, systems and devices are provided to monitor for potential heart failure (HF). Cardiac activity (CA) data is obtained and filtered to obtain respiration data indicative of a respiration pattern. The respiration data is analyzed to determine one or more respiration characteristics of interest (COI) that are recorded along with collection time information to form an HF monitoring log. Additionally or alternatively, the CA data is analyzed to detect an event of interest. The cardiac activity data is filtered to obtain respiration data indicative of a respiration pattern, and the respiration data is analyzed for respiration induced under detection of the event of interest from the CA data.

Abstract: Cardiac pacing is performed using leadless pacemakers (LPs). An AV delay is determined based on a P-wave duration. When pacing occurs during cardiac cycles starting with intrinsic atrial events, the AV delay is set to the P-wave duration plus a first offset if the P-wave duration is greater than a first threshold duration, and the AV delay is set to the P-wave duration plus a second offset that is greater than the first offset, if the P-wave duration is less than the first threshold duration. When pacing occurs during cardiac cycles starting with paced atrial events, the AV delay is set to the P-wave duration plus a third offset, if the P-wave duration is greater than a second threshold duration, or is set to the P-wave duration plus a fourth offset that is greater than the third offset, if the P-wave duration is less than the second threshold duration.

Abstract: Embodiments described herein relate to implantable medical devices (IMDs) and methods for use therewith. Such a method includes using an accelerometer of an IMD (e.g., a leadless pacemaker) to produce one or more accelerometer outputs indicative of the orientation of the IMD. The method can also include the IMD using an accelerometer to identify when the orientation of the IMD is such that the IMD will likely be able to successfully communicate with another IMD via one or more communication pulses sent from the IMD to the other IMD. The method also includes the IMD sending of the one or more communication pulses, that are used to communicate with the other IMD, when the orientation of the IMD is such that the IMD will likely be able to successfully communicate with the other IMD via one or more communication pulses sent from the IMD to the other IMD.

Abstract: A computer implemented method and system is provided for managing neural stimulation therapy. The method comprises under control of one or more processors configured with program instructions. The method delivers a series of candidate stimulation waveforms having varied stimulation intensities to at least one electrode located proximate to nervous tissue of interest. A parameter defines the candidate stimulation waveforms is changed to vary the stimulation intensity. The method identifies a first candidate stimulation waveform that induces a paresthesia-abatement effect, while continuing to induce a select analgesic effect. The method further identifies a second candidate stimulation waveform that does not induce the select analgesic effect. The method sets a stimulation therapy based on the first and second candidate stimulation waveforms.

Abstract: Implantable medical devices (IMDs), systems, and methods for use therewith are disclosed. One such method is for use by a leadless pacemaker (LP) configured to perform conductive communication with another implantable medical device (IMD). The method includes the LP storing information that specifies when, within a cardiac cycle, the LP and the other IMD implanted in a patient are likely oriented relative to one another such that conductive communication therebetween should be successful. The method also includes the LP sensing a signal indicative of cardiac activity of the patient over a plurality of cardiac cycles, and outputting one or more conductive communication pulses, during a portion of at least one of the cardiac cycles, wherein the portion of the at least one of the cardiac cycles is identified based on the signal that is sensed and the information that is stored.

Abstract: Embodiments described herein relate to implantable medical devices (IMDs) and methods for use therewith. Such a method includes using an accelerometer of an IMD (e.g., a leadless pacemaker) to produce one or more accelerometer outputs indicative of the orientation of the IMD. The method can also include controlling communication pulse parameter(s) of one or more communication pulses (produced by pulse generator(s)) based on accelerator output(s) indicative of the orientation of the IMD. The communication pulse parameter(s) that is/are controlled can be, e.g., communication pulse amplitude, communication pulse width, communication pulse timing, and/or communication pulse morphology. Such embodiments can be used to improve conductive communications between IMDs whose orientation relative to one another may change over time, e.g., due to changes in posture and/or due to cardiac motion over a cardiac cycle.

Abstract: Computer implemented methods and systems for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a far field cardiac activity (CA) data set that includes far field CA signals for beats. The method applies a feature enhancement function to the CA signals to form an enhanced feature in the CA data set. The method calculates an adaptive sensitivity level and sensitivity limit based on the enhanced feature from one or more beats within the CA data set and automatically iteratively analyzes a beat segment of interest by comparing the beat segment of interest to the current sensitivity level to determine whether one or more R-waves are present within the beat segment of interest.