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: 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.

Abstract: 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.

Abstract: A system for monitoring a physiologic condition of a patient including an accelerometer configured to be implanted in the patient, the accelerometer configured to obtain multi-dimensional (MD) accelerometer data along at least two axes. When executing program instructions, the one or more processors may be configured to initiate a data collection interval in connection with patient activity, obtain the MD accelerometer data during the patient activity for at least one of a select period of time or until receiving a data collection halt instruction, and calculate a travel-related (TR) parameter based on the MD accelerometer data. The one or more processors may also be configured to correlate the TR parameter with physiologic data obtained during the patient activity, and store the TR parameter and physiologic data as indicators of a current physiologic state of the patient.

Abstract: Embodiments reduce burden associated with analyzing EGM segments obtained from an IMD that monitors for arrhythmic episodes. Respective EGM data and respective classification data is obtained for each arrhythmic episode detected by the IMD during a period of time. A representative R-R interval or HR for each of the arrhythmic episodes is determine by the IMD, wherein a manner for determining the representative R-R interval or HR depends on the type of the arrhythmic episode, such that for at least two different types of arrhythmic episodes the manners differ. An external system(ES) obtains data from the IMD, directly or indirectly, and selects arrhythmic episode(s) for which corresponding EGM segments are to be displayed for each type of arrhythmic episode, wherein the selecting is performed based on the representative R-R intervals or HRs determined by the IMD for the arrhythmic episodes. Additional and alternative embodiments are also described herein.

Abstract: Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

Abstract: Embodiments described herein can reduce a burden associated with analyzing EGM segments obtained from an IMD that monitors for arrhythmic episodes. Respective EGM data and respective classification data is obtained for each arrhythmic episode detected by the IMD during a period of time. A representative R-R interval or HR for each of the arrhythmic episodes is also obtained, wherein a manner for determining the representative R-R interval or HR depends on the type of the arrhythmic episode, such that for at least two different types of arrhythmic episodes the manners differ. One or more arrhythmic episodes is/are selected for which corresponding EGM segments are to be displayed for each type of arrhythmic episode, wherein the selecting is performed based on the representative R-R intervals or HRs that are determined for the plurality of arrhythmic episodes. Additional and alternative embodiments are also described herein.

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: Devices and methods for improving conductive communication are described herein. One of the devices involved in the conductive communication can be an external device while the other device is an IMD, or both of the devices can be IMDs. In certain embodiments, a preferred conductive communication vector for use is identified based on obtained information indicative of the at least one of a physical or physiologic state of the patient within which an IMD is implanted.

Abstract: Devices and methods for improving conductive communication are described herein. One of the devices involved in the conductive communication can be an external device while the other device is an IMD, or both of the devices can be IMDs. In certain embodiments, each of at least three different conductive communication vectors are used to produce a respective bitstream, and a valid bit stream is selected or produced based on the at least three bitstreams. Message data included in and/or decoded from the valid bitstream is then stored and/or used.

Abstract: Systems and methods for improving conducted i2i communication between first and second implantable medical device (IMDs) are described, wherein at least one of the IMDs comprises a leadless pacemaker (LP). Respective information is stored within each of the first and second IMDs that specifies a primary communication window (PCW) for performing the conducted communication with one another when using a primary conducted communication protocol (PCCP), and also specifies an alternate communication window (ACW) for performing the conducted communication with one another when using an alternate conducted communication protocol (ACCP). At least one of the first and second IMDs monitors quality metric of the conducted communication therebetween while the PCCP is being used, and in response to the quality metric falling below a corresponding threshold, the first and second IMDs perform conducted i2i communication with one another in accordance with the ACCP during the ACW of one or more cardiac cycles.

Abstract: Methods, devices, and program products are provided under control of one or more processors within an implantable medical device (IMD) that senses far field (FF) signals between a combination of electrodes coupled to the IMD. Correlation scores are determined by comparing the FF signals associated with a number of beats to a template. The correlation scores of the number of beats are compared to a correlation threshold, and correlation variability scores are determined for the number of beats. Shock delivery, by a pulse generator within the IMD, is postponed in response to i) a first number of beats within the number of beats having the correlation scores that are less than the correlation threshold, and ii) a second number of beats within the number of beats having correlation variability scores that are less than a correlation variability threshold.

Abstract: A system for verifying a candidate pathologic episode of a patient is provided. The system includes an accelerometer configured to be implanted in the patient, the accelerometer configured to obtain accelerometer data along at least one axis. The system also includes a memory configured to store program instructions and one or more processors. When executing the program instructions, the one or more processors are configured to obtain a biological signal and identify a candidate pathologic episode based on the biological signal, analyze the accelerometer data to identify a physical action experienced by the patient, and verify the candidate pathologic episode based on the physical action.

Abstract: Systems, methods, and devices are provided for determining an early battery depletion (EBD) condition of an implantable medical device that includes a memory storing program instructions and a processor executing the program instructions. Circuitry is electrically coupled to the processor, and the circuitry and processor perform one or more tasks related to at least one of collecting signals indictive of physiologic activity, analyzing collected signals, delivering therapy, or communicating with an external device. A battery supplies energy to the circuitry and processor. A monitoring circuit coupled to the battery measures actual energy usage from the battery representing at least one of a current draw from the battery during corresponding tasks or a voltage measurement across the battery. Circuitry and processor calculate projected energy usage from the battery in connection with the corresponding tasks, and determine when an EBD condition exists based on projected energy usage and actual energy usage.

Abstract: Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

Abstract: Systems, methods, and devices are provided for determining an early battery depletion (EBD) condition of an implantable medical device that includes a memory storing program instructions and a processor executing the program instructions. Circuitry is electrically coupled to the processor, and the circuitry and processor perform one or more tasks related to at least one of collecting signals indicative of physiologic activity, analyzing collected signals, delivering therapy, or communicating with an external device. A battery supplies energy to the circuitry and processor. A monitoring circuit coupled to the battery measures actual energy usage from the battery representing at least one of a current draw from the battery during corresponding tasks or a voltage measurement across the battery. Circuitry and processor calculate projected energy usage from the battery in connection with the corresponding tasks, and determine when an EBD condition exists based on projected energy usage and actual energy usage.

Abstract: Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

Abstract: A system for determining a change in position of an implanted medical device (IMD) within an implant pocket is provided. The system includes an accelerometer configured to be implanted in a patient, the accelerometer configured to obtain accelerometer data along at least one axis. The system also includes one or more processors configured to determine the patient is engaging in a determined activity over an activity period, and obtain the accelerometer data during the activity period. The one or more processors are also configured to identify postures of the patient and corresponding posture periods during the activity period based on the accelerometer data, determine a duration related to a non-standing posture identified from the postures identified, and identify a migration of the IMD within the implant pocket based on the duration of the non-standing posture exceeding a duration threshold.

Abstract: Methods and systems are provided for detecting arrhythmias in cardiac activity. The methods and systems declare a current beat, from the CA signals, to be a candidate beat or an ineligible beat based on whether the current beat satisfies the rate based selection criteria. The determining and declaring operations are repeated for multiple beats to form an ensemble of candidate beats. The method and system calculate a P-wave segment ensemble from the ensemble of candidate beats, perform a morphology-based comparison between the P-wave segment ensemble and at least one of a monophasic or biphasic template, declare a valid P-wave to be present within the CA signals based on the morphology-based comparison, and utilize the valid P-wave in an arrhythmia detection process to determine at least one of an arrhythmia entry, arrhythmia presence or arrhythmia exit.

Abstract: Systems, methods, and devices are provided for determining an early battery depletion (EBD) condition of an implantable medical device that includes a memory storing program instructions and a processor executing the program instructions. Circuitry is electrically coupled to the processor, and the circuitry and processor perform one or more tasks related to at least one of collecting signals indicative of physiologic activity, analyzing collected signals, delivering therapy, or communicating with an external device. A battery supplies energy to the circuitry and processor. A monitoring circuit coupled to the battery measures actual energy usage from the battery representing at least one of a current draw from the battery during corresponding tasks or a voltage measurement across the battery. Circuitry and processor calculate projected energy usage from the battery in connection with the corresponding tasks, and determine when an EBD condition exists based on projected energy usage and actual energy usage.