Medtronic, Inc.

Karen J Kleckner

Robert W Stadler

Wade M Demmer

Paul Gordon Krause

Xusheng Zhang

Saul E Greenhut

Todd Jon Sheldon

Subham Ghosh

Eduardo N Warman

Raja N Ghanem

Xiaohong Zhou

Tommy Dean Bennett

Lilian Kornet

Jeffrey M Gillberg

Yong Kyun Cho

John Charles Stroebel

Paul R Solheim

Eric A Schilling

John W Komp

Bo Zhang

Gary P Kivi

H Toby Markowitz

D Curtis Deno

Paul A Belk

William J Combs

Catherine R Condie

John D Wahlstrand

Mark K Erickson

Amisha Somabhai Patel

Kevin T Ousdigian

John E Burnes

Bruce D Gunderson

Mark L Brown

Mary M Morris

Vincent E Splett

Robert A Betzold

Teresa A Whitman

James Kevin Carney

Vinod Sharma

Troy Edward Jackson

David A Anderson

Kenneth M Anderson

Mustafa Karamanoglu

Jian L Cao

Eric J Panken

William John Havel

Thomas J Mullen

Aleksandre T Sambelashvili

Luc Roland Mongeon

John C Rueter

Charles R Gordon

Michael W Heinks

Paul D Ziegler

Richard N M Cornelussen

Maneesh Shrivastav

Charles G Yerich

Alberto Della Scala

Matthew R Yoder

Nicholas C Wine

Ruth N Klepfer

Carleen J Juran

Melissa Rhodes

Charles P Sperling

Lucy M Nichols

Robert A Corey

Douglas A Peterson

Daniel J Baxter

Glenn C Zillmer

Yanina Grinberg

Donald R Merritt

Vincent P Ganion

Julian Sanchez

Nathan A Grenz

Trent M Fischer

D'Anne E Kudlik

David A Igel

Joel R Lauer

Scott W Davie

Kathleen A Prieve

Ren Zhou

Anthony W Schrock

Jean E Hudson

Michael T Hemming

Tarek D Haddad

James W Busacker

Robert T Taepke

David E Euler

Mukul Jain

Edwin G Duffin

Lawrence J Mulligan

Gregory A Younker

Daniel M Gelfman

Michael L Hudziak

Steven N Lu

Elizabeth A Schotzko

Nirav Vijay Sheth

Greggory R Herr

Richard S Schallhorn

David E Ritscher

Michael William Kimmel

A method of operation of a medical device system for determining prospective heart failure hospitalization risk. The method includes measuring one or more data observations via one or more electrodes of an implanted medical device disposed in a patient's body. The data observations are stored into memory of the implantable medical device of a patient. The data observations are transmitted to an external device. The processor of the external device parses the data observations into one or more evaluation periods. Using the number of observations in one or more evaluation periods, a look up table, stored into memory of the external device, is accessed. The look up table associates prospective heart failure hospitalization risk with the data observations noted in the evaluation period. One or more embodiments involve a weighted prospective heart failure hospitalization risk for the set of evaluation periods. The prospective heart failure hospitalization is then displayed on the graphical user interface.

Determining prospective risk of heart failure hospitalization

Systems and methods are described herein for detecting disturbances in cardiac signals. An electrode apparatus includes a plurality of external electrodes to be disposed proximate a patient's skin. A computing apparatus includes processing circuitry. The computing apparatus is operably coupled to the electrode apparatus. The computing apparatus is configured to monitor electrical activity from tissue of a patient using a plurality of external electrodes to generate a plurality of electrical signals. At least one of the electrical signals of the plurality of electrical signals is filtered. At least one disturbance in the at least one electrical signal is detected using the at least one filtered signal. A temporal location of the at least one disturbance in the at least one electrical signal is determined based on a time that the at least one filtered signal crosses a predetermined threshold.

Disturbance detection and removal in cardiac signals

Systems, interfaces, and methods are described herein for evaluation and adjustment cardiac therapy. The systems, interfaces, and methods may utilize, or include, a graphical user interface to display various information with respect to a plurality of external electrodes and electrical activity monitored using such external electrodes and to allow a user to adjust what information to display.

Systems, methods, and interfaces for use in cardiac evaluation

A method and device for detecting phrenic nerve stimulation (PNS) in, or using, a cardiac medical device. A test signal sensitive to contraction of a diaphragm of a patient may be sensed and signal artifacts of the test signal within each of a first window of the test signal prior to a predetermined cardiac signal and a second window of the test signal subsequent to the predetermined cardiac signal may be determined. The PNS beat criteria may be evaluated, for example, using the test signal, which may be a heart sounds signal.

Sensor-based phrenic nerve stimulation detection

A method for monitoring a cardiovascular pressure in a patient includes measuring, by pressure sensing circuitry of an implantable pressure sensing device, the cardiovascular pressure of the patient. The method further includes transmitting, via wireless communication circuitry of the implantable pressure sensing device, the measured cardiovascular pressure to another device. The method further includes determining, by processing circuitry of the other device, whether a posture of the patient at a time of the measured cardiovascular pressure was a target posture for cardiovascular pressure measurements. The method further includes determining, by the processing circuitry of the other device, whether to store or discard the transmitted cardiovascular pressure based on determining whether the posture was the target posture.

Measuring cardiovascular pressure based on patient state

Systems and methods are described herein for generating representative cardiac information. The representative cardiac information may be based on a plurality of electrode signals monitored, or measured, over a plurality of cardiac cycles or heart beats. The systems and methods may remove unqualified cardiac cycles, remove invalid electrode signals, remove inconsistent cardiac cycles, and removing uncorrelated cardiac cycles, and then generate representative cardiac information based on the remaining cardiac cycles and electrode signals.

Generating representative cardiac information

Systems, apparatus, methods and non-transitory computer readable media facilitating telemetry data communication security between an implantable device and an external clinician device are provided. An implantable device can include a security component configured to generate security information based on reception of a clinician telemetry session request from the clinician device via a first telemetry communication protocol. The security information can include a session identifier and a first session key, and the clinician telemetry session request can include a clinician device identifier associated with the clinician device. The implantable device can further include a communication component configured to establish a clinician telemetry session with the clinician device using a second telemetry communication protocol based on determining that a connection request, received via the second telemetry communication protocol, was transmitted by the clinician device based on inclusion of the clinician device in the connection request.

Facilitating telemetry data communication security between an implantable device and an external device

A medical device and method conserve electrical power used in monitoring cardiac arrhythmias. The device includes a sensing circuit configured to sense a cardiac signal, a power source and a control circuit having a processor powered by the power source. The control circuit is configured to operate in a normal state by waking up the processor to analyze the cardiac electrical signal for determining a state of an arrhythmia. The control circuit switches from the normal state to a power saving state that includes waking up the processor at a lower rate than during the normal state.

Medical device and method for power reduction for arrhythmia detection

An implantable medical device includes an activity sensor, a pulse generator, and a control module. The control module is configured to determine activity metrics from the activity signal and determine an activity metric value at a predetermined percentile of the activity metrics. The control module sets a lower pacing rate set point based on the activity metric value at the predetermined percentile.

Dynamic patient-specific filtering of an activity signal within a beating heart

Systems and methods are described herein for evaluation and adjustment cardiac therapy. The systems and methods may initially evaluate a first pacing parameter while other pacing parameters are fixed to, for example, nominal values, and determine an effective setting for the first pacing parameter. Then, a second pacing parameter may be evaluated while the first pacing parameter is fixed to the previously-determined effective setting. Each evaluation may not test every possible setting for the pacing parameters, and instead, may utilize various processes to limit the settings to a subset of settings to test.

Systems and methods for evaluating cardiac therapy

Systems and methods are described herein for selection of a cardiac cycle, or heartbeat, from a plurality of cardiac cycles monitored over time. The cardiac cycle may be selected using various metrics including a single-cycle metric and a cycle-series metric. Further, the selected cardiac cycle may be used for further cardiac analysis (for example, to generate electrical activation times).

Cardiac cycle selection

Systems, apparatus, methods and computer-readable storage media facilitating management of operation of an implantable medical device ('IMD') using a number of communication modes are provided. An IMD is configured to operate in a disabled mode wherein radio frequency (RF) telemetry communication is disabled, or operate in a first advertising mode using the RF telemetry communication. The IMD receives a clinician session request from a clinician device via an induction telemetry protocol while operating in the disabled mode or the first advertising mode, and transitions to operating from the disabled mode or the first advertising mode to operating in a second advertising mode based on receiving the clinician session request. From the second advertising mode, the IMD can establish a clinician telemetry session with the clinician device using the RF telemetry communication and a unique security mechanism facilitated by an identifier for the clinician device included in the clinician session request.

Managing telemetry communication modes of a device

A cardiac stimulation system and associated capture management method are provided in which capture and device longevity are improved. The device determines a series of capture thresholds. Capture threshold is the minimum pulse level (pulse energy or pulse amplitude or pulse width) that captures the heart. Each determination requires delivery of pacing pulses at several (at least two) known levels (pulse energy, pulse amplitude and/or pulse width) over time. The individual determined capture thresholds are combined into a set and the variability of the set is used to set the safety margin. The greater the variability in the capture thresholds, the bigger the safety margin.

Dynamic capture management safety margin

Growing community of inventors

New Brighton, MN, United States of America

Karen J Kleckner