Cardiac Pacemakers, Inc.

Keith L Herrmann

Krzysztof Z Siejko

Stephen John Hahn

Deepa Mahajan

Yinghong Yu

Sunipa Saha

Venugopal Allavatam

Holly Elizabeth Rockweiler

Amy Jean Brisben

David L Perschbacher

David J Ternes

Allan Charles Shuros

Kevin G Wika

Adam MacEwen

Jason Humphrey

Aaron R McCabe

Shibaji Shome

Mitchell D Lanz

Michael James Dufresne

Benjamin J Nyquist

Joel Adam Krueger

Benjamin Speakman

Keith R Maile

William J Linder

Benjamin J Haasl

Arthur J Foster

James Kalgren

Brendan Early Koop

Derek Daniel Bohn

Kenneth N Hayes

Pramodsingh Hirasingh Thakur

Jiang Ding

Arjun D Sharma

David W Yost

Jonathan Walter Krueger

Gezheng Wen

Britta Catherine Veldman

Pratik K Pandya

Aaron R Mccabe

Joel A Krueger

Systems and methods for cardiac pacing are described in this document. A medical system includes an electrostimulation circuit to generate His-bundle pacing (HBP) pulses to capture a His bundle, and LV pacing (LVP) pulses to capture a left ventricle. A sensing circuit may sense a cardiac activity, such as an atrial or an LV cardiac electrical activity. The system includes a control circuit controlling the delivery of HBP and LVP pulses. The HBP and LVP may be delivered concurrently or sequentially. In an example, the LVP pulses may be delivered based on a His-bundle capture status in response to the HBP pulse. The system may adjust one or more His-bundle stimulation parameters based on the His-bundle capture status.

His-bundle pacing system with left-ventricular pacing

A medical device system has a medical device interface configured to download data from an implanted medical device. Memory stores electrode location identification rules and display definitions. Each of the display definitions correspond to possible electrode placement locations of the implanted medical device. Processing circuitry is configured to compare the downloaded data from the implanted medical device to the electrode location identification rules to identify one or more actual electrode placement locations of the possible electrode placement locations of the implanted medical device. A user output interface is in communication with the processing circuitry. The processing circuitry is configured to cause the output to display the one or more actual electrode placement locations.

Identification of implanted electrode location

Methods and/or device facilitating and selecting among multiple modes of filtering a cardiac electrical signal, in which one filtering mode includes additional high pass filtering of low frequency signals, relative to the other filtering mode. The selection filtering modes may include comparing sensed signal amplitude to one or more thresholds, using the multiple modes of filtering. In another example, an additional high pass filter is enabled, over and above a default or baseline filtering mode, and the detected cardiac signal is monitored for indications of possible undersensing, and/or for drops in amplitude toward a threshold, and the additional high pass filter may be disabled upon finding of possible undersensing or drop in signal amplitude.

Automatic determination and selection of filtering in a cardiac rhythm management device

Systems and methods for detecting an arrhythmic event and storing physiological information associated with the detected arrhythmic event are described. A system may include a first detector to detect an arrhythmic event from a physiological signal sensed from a subject, and generate a confidence indicator indicating a confidence level of the detection of the arrhythmic event. If the confidence indicator indicates a relatively high confidence of arrhythmia detection, the system may provide the detected arrhythmic event to a first process for storing the detected arrhythmic event or generating an alert. If the confidence indicator indicates a relatively low confidence of arrhythmia detection, the system may provide the detected arrhythmic event to at least a second process including confirming or rejecting the detected arrhythmic event.

Confidence of arrhythmia detection

Systems and methods for classifying a cardiac arrhythmia are discussed. An exemplary system includes a correlator circuit to generate autocorrelation sequences using information of cardiac activity of a subject, including signal segments taken from a cardiac signal at respective elapsed time with respect to reference time. The correlator circuit can generate a correlation image using the autocorrelation sequences. The correlation image may be constructed by stacking the autocorrelation sequences according to the elapsed time of signal segments. An arrhythmia classifier circuit can classify the cardiac activity of the subject as one of arrhythmia types using the correlation image.

Arrhythmia classification using correlation image

A device for the active fixation of an implantable medical lead includes a housing, a tine assembly, an electrode, and a rotatable shaft. The housing includes a proximal end for connecting to the lead and a distal end opposite the proximal end. The housing defines a housing lumen extending between the proximal end and a recess adjacent to the distal end. The tine assembly is disposed within the housing lumen and includes at least one tine configured to self-bias from a linear configuration within the housing to a curved configuration outside of the housing. The electrode assembly is disposed at the distal end of the housing and includes a plurality of electrodes. The rotatable shaft extends through the housing lumen and is configured to engage the tine assembly such that rotation of the shaft transitions the at least one tine between the linear configuration and the curved configuration.

Multipolar lead for His bundle pacing

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

Systems and methods for monitoring and treating patients with heart failure (HF) are discussed. The system may sense cardiac signals, and receives information about patient physiological or functional conditions. A stimulation parameter table that includes recommended values of atrioventricular delay (AVD) or other timing parameters maybe created at a multitude of patient physiological or functional conditions. The system may periodically reassess patient physiological or functional conditions. A therapy programmer circuit may dynamically switch between left ventricular-only pacing and biventricular pacing, or switch between single site pacing and multisite pacing based on the patient condition. The therapy programmer circuit may adjust AVD and other timing parameters using the cardiac signal input and the stored stimulation parameter table. A HF therapy may be delivered according to the determined stimulation site, stimulation mode, and the stimulation timing.

Systems and methods for dynamic control of heart failure therapy

Multipolar lead for his bundle pacing

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

Systems and methods for pacing cardiac conductive tissue are described. An exemplary system includes an electrostimulation circuit that may generate HBP pulses to stimulate patient physiologic conduction pathway, such as a His bundle or a bundle branch. The system includes an arrhythmia detector to detect an atrial tachyarrhythmia (AT) with intermittent ventricular conduction. A control circuit may sense ventricular activation and, in response to the detected AT indication, determine or update a His-bundle pacing (HBP) configuration. The HBP may be recursively updated on a beat-by-beat basis using the sensed ventricular activation. The electrostimulation circuit may deliver HBP according to the determined or adjusted HBP configuration to regularize ventricular rate during AT.

His-bundle pacing for rate regularization

Growing community of inventors

Minneapolis, MN, United States of America

Keith L Herrmann