Cardiac Pacemakers, Inc.

Cameron Health, Inc.

Amy Jean Brisben

Krzysztof Z Siejko

Stephen John Hahn

Deepa Mahajan

Keith L Herrmann

Venugopal Allavatam

Aaron R McCabe

Keith R Maile

Pramodsingh Hirasingh Thakur

David J Ternes

Shibaji Shome

Kevin G Wika

Qi An

Kevin John Stalsberg

Clayton Scott Foster

David W Yost

Yanting Dong

William J Linder

Benjamin J Haasl

Brendan Early Koop

Scott A Meyer

Viktoria A Averina

Jacob I Laughner

Kenneth N Hayes

Jeffrey E Stahmann

Allan Charles Shuros

David L Perschbacher

Stephen B Ruble

Sunipa Saha

Dan Li

JoAnna Trapp Simpson

Thomas V Karathanos

Ashley Moriah Jensen

Systems and methods for monitoring physiologic response to Valsalva maneuver (VM) are disclosed. An exemplary patient monitor may detect a natural incidence of a VM session occurred in an ambulatory setting using a heart sound (HS) signal sensed from the patient. The patient monitor may include a physiologic response analyzer to sense patient physiologic response during the detected VM session, and generate a cardiovascular or autonomic function indicator based on the sensed physiologic response to the VM. Using the physiologic response to the VM, the system may detect a target physiologic event using the sensed physiologic response to the VM.

Ambulatory monitoring of physiologic response to Valsalva maneuver

Systems, methods and implantable devices configured to provide cardiac resynchronization therapy and/or bradycardia pacing therapy. A first device located in the heart of the patient is configured to receive a communication from a second device and deliver a pacing therapy in response to or in accordance with the received communication. A second device located elsewhere is configured to determine an atrial event has occurred and communicate to the first device to trigger the pacing therapy. The second device may be configured for sensing the atrial event by the use of vector selection and atrial event windowing, among other enhancements. Exception cases are discussed and handled as well.

Cardiac therapy system using subcutaneously sensed p-waves for resynchronization pacing management

Methods, systems and devices for providing cardiac resynchronization therapy (CRT) to a patient using a leadless cardiac pacemaker (LCP) and an extracardiac device (ED). The LCP is configured to deliver pacing therapy at a pacing interval. Illustratively, the ED may be configured to analyze the cardiac cycle including a portion preceding the pacing therapy delivery for one or several cardiac cycles, and determine whether an interval from the P-wave to the pace therapy in the cardiac cycle(s) is in a desired range. In an example, if the P-wave to pace interval is outside the desired range, the ED communicates to the LCP to adjust the pacing interval.

Integrated multi-device cardiac resynchronization therapy using p-wave to pace timing

New and alternative approaches to the monitoring of cardiac signal quality for external and/or implantable cardiac devices. In one example, signal quality is monitored continuously or in response to a triggering event or condition and, upon identification of a reduction in signal quality, a device may reconfigure its sensing state. In another example, one or more trends of signal quality are monitored by a device, either continuously or in response to a triggering event or condition, and sensing reconfiguration may be performed in response to identified trends and events. In yet another example, a device may use a looping data capture mode to track sensing data in multiple vectors while primarily relying on less than all sensing vectors to make decisions and, in response to a triggering event or condition, the looped data can be analyzed automatically, without waiting for additional data capture to reconfigure sensing upon identification of the triggering event or condition. In another example a device calculates a composite cardiac cycle by overlaying signal morphology for a number of cardiac cycles and analyzes the composite cardiac cycle to calculate signal quality metrics.

Signal quality monitoring for multiple sense vectors in cardiac devices

This document discusses, among other things, systems and methods for monitoring a patient at risk of epilepsy. A system comprises a sensor circuit that senses from the patient at least first and second physiological or functional signals. A wellness detector circuit can detect an epileptic event using the sensed physiological or functional signals, or additionally classify the epileptic event into one of epileptic seizure types. The system can generate a wellness indicator based on a trend of the physiological or functional signal during the detected epileptic event. The wellness indicator indicates an impact of the detected epileptic event on the health status of the patient. The system includes an output unit configured to output the detection of the epileptic event or the wellness indicator to a user or a process.

Methods and apparatus for monitoring epilepsy

Systems and methods for managing machine-generated medical events detected from one or more patients are described herein. A medical event management system includes an event analyzer circuit to detect a medical event using physiological data from a patient-triggered episode acquired from a medical device. The event analyzer circuit determines a confidence score of the medical event detection, and generates an alignment indicator indicating a degree of concordance between the detected medical event and the information about the patient-triggered episode. The system assigns priority information to the patient-triggered episode using the generated alignment indicator and the confidence score of the detection. An output circuit can output the received physiological information to a user or a process according to the assigned priority information.

Systems and methods for managing patient-triggered episodes

Systems and methods for pacing cardiac conductive tissue are described. A medical system includes an electrostimulation circuit to generate His-bundle pacing (HBP) pulses. A sensing circuit senses a physiologic signal, and detect a local His-bundle activation discrete from a pacing artifact of the HBP pulse. A control circuit verifies capture status in response to the HBP pulses. Based on the capture status, the control circuit determines one or more pacing thresholds including a selective HBP threshold representing a threshold strength to capture only the His bundle but not the local myocardium, and a non-selective HBP threshold representing a threshold strength to capture both the His bundle and the local myocardium. The electrostimulation circuit may deliver HBP pulses based on the selective and non-selective HBP thresholds.

Auto-threshold test for His-bundle pacing

Methods and devices adapted for cardiac signal analysis. A method or device has accessible to it more than one approach to cardiac cycle rate analysis and is adapted to monitor sensing signal quality. In response to an apparent reduction in signal quality or other trigger, the method or device checks whether an arrhythmia or an actual drop in signal quality is occurring prior to modifying sensing configurations or parameters.

Multimode rate and rhythm analysis calculation for cardiac signal quality analysis

Systems and methods for monitoring patient for syncope are discussed. A syncope monitor system can detect a precipitating event associated with a syncope onset, and acquire hemodynamic data in response to the detection of the precipitating event. A syncope analyzer circuit may generate temporal profiles of one or more hemodynamic parameters using the hemodynamic data. The syncope analyzer may use the temporal profiles to detect a syncopal event and to classify the syncopal event into one of a plurality of syncope categories. The detection and classification information may be output to a user or a process.

Systems and methods for syncope detection and classification

Integrated multi-device cardiac resynchronization therapy using P-wave to pace timing

Cardiac therapy system using subcutaneously sensed P-waves for resynchronization pacing management

In some examples, cardiac cycle detection may be used as a more or less default approach to cardiac activity tracking. Additional rate measurement relying on different sources or analyses may require extra power consumption over the cycle detection methods. Therefore, new methods and devices are disclosed that selectively activate a second cardiac rate measurement when needed. In some illustrative methods and devices, decisions are made as to whether and which previously collected data, if any, is to be discarded, replaced, or corrected upon activation of the second cardiac rate measurement.

Methods and devices combining multiple cardiac rate measurements with activation and arrhythmia analysis correction

Methods and devices for combining multiple signals from multiple sensing vectors for use in wearable or implantable cardiac devices. Signals from multiple vectors may be combined using weighting factors and/or by conversion to different coordinate systems than the original inputs, which may or may not be normalized to patient anatomy. Signals from multiple sensing vectors may be combined prior to or after several analytical steps or processes including before or after filtering, and before or after cardiac cycle detection. Cardiac cycle detection information may be combined across multiple sensing vectors before or after analysis of individual vectors for noise or overdetection. Cardiac cycle detection information may also be combined across multiple sensing vectors to identify noise and/or overdetection.

Multi-vector sensing in cardiac devices with detection combinations

Methods and devices for combining multiple signals from multiple sensing vectors for use in wearable or implantable cardiac devices. A preferred sensing configuration may be selected at a given point in time, for example under clinical conditions. Signal quality for the preferred sensing configuration is then monitored, and if the signal quality degrades under selected conditions, re-analysis may be performed to select a different sensing vector configuration for at least temporary use. If signal quality increases for the preferred sensing configuration, temporary use of the different sensing vector configuration may cease and reversion to the preferred sensing configuration takes place if certain conditions are met. The conditions for reversion may depend in part of a history of sensing signal quality for the preferred sensing configuration.

Multi-vector sensing in cardiac devices using a hybrid approach

Multi-vector sensing in cardiac devices with signal combinations

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Saint Paul, MN, United States of America

Amy Jean Brisben