Medtronic, Inc.

Medtronics, Inc.

Mozarc Medical US LLC

Capricor Therapeutics, Inc.

John E Burnes

Paul Gordon Krause

William T Donofrio

Xiaohong Zhou

Martin T Gerber

VenKatesh R Manda

Gerald P Arne

David Jerome Peichel

James D Reinke

Suping Lyu

Bryant J Pudil

Lilian Kornet

Thomas J Mullen

Luc Roland Mongeon

Timothy J Davis

Yong Kyun Cho

Michael R S Hill

Ruth N Klepfer

Avram Scheiner

Eduardo N Warman

Shantanu Sarkar

Mary M Morris

John C Rueter

Karen J Kleckner

James Kevin Carney

Rodolphe Katra

Jonathan L Kuhn

Orhan Soykan

Koen J Michels

Jesper Svenning Kristensen

Matthew David Bonner

D Curtis Deno

Jeffrey M Gillberg

Andrew J Ries

Christopher M Hobot

Douglas A Hettrick

Gary William King

Kenneth C Gardeski

Michael Robert Klardie

Tommy Dean Bennett

Patrick Edward Macaulay

Vincent E Splett

Paul J Degroot

Todd M Zielinski

William K Wenger

Aleksandre T Sambelashvili

Richard N M Cornelussen

Lawrence J Mulligan

David A Igel

Jodi Zilinski

Paul D Ziegler

Rebecca L Poindexter

Nirav Vijay Sheth

Gautham Rajagopal

Mirko De Melis

Tico Blumenthal

Stacy D Beske Radford

Manda R VenKatesh

Mark J Phelps

Harry Stone

David E Euler

Petrus Hermanus Veltink

Hendrik Peter Johan Buschman

Michael Roland Scott Hill

Simone Cornelia Maria Anna Ordelman

Amy Roettger

Kenneth M Anderson

Kathryn Hilpisch

George Patras

Roy L Testerman

Paul J DeGroot

Edward Chinchoy

Edwin G Duffin

John E Nicholson

William L Johnson

Randall L Knoll

Daniel Robert Kaiser

Michael L Hudziak

Roland C Maude-Griffin

Glenn C Zillmer

Jeffrey A Swanson

Kathleen A Prieve

Daniel Bloomberg

Thomas J Olson

Ren Zhou

Olivier Blandin

Harold E Stone

Andrew J L Walsh

Aleksandrew T Sambelashvili

Robert W Libbey

Michael K Berquist

Paul Vahle

Samira Tahvildari

Berry M Van Gelder

M S J Pilmeyer

Aleksandra T Sambelashvili

Marcus J Mianulli

William P VanAntwerp

Xiaochong Zhou

Richard Nm Cornelussen

Techniques for triggering the storage or transmission of cardiac electrogram (EGM) signals associated with a premature ventricular contractions (PVC) include sensing a cardiac EGM signal of a patient via a plurality of electrodes, detecting a premature ventricular contraction (PVC) within the cardiac EGM signal, determining whether PVC storage criteria is met, in response to a determination that the PVC storage criteria is met, storing a portion of the cardiac EGM signal associated with the PVC, and in response to a determination that the PVC storage criteria is not met, eschewing storing the portion of the cardiac EGM signal associated with the PVC.

Triggering storage of electrocardiographs for detected premature ventricular contractions (PVCs)

This disclosure is directed to devices, systems, and techniques for monitoring a patient condition. In some examples, a medical device system includes a medical device comprising a set of sensors. Additionally, the medical device system includes processing circuitry configured to identify, based on at least one signal of the set of signals, a time of an event corresponding to the patient and set a time window based on the time of the event. Additionally, the processing circuitry is configured to save, to a fall risk database in a memory, a set of data including one or more signals of the set of signals so that the fall risk database may be analyzed in order to determine a fall risk score corresponding to the patient, wherein the set of data corresponds to the time window.

Determining a risk or occurrence of health event responsive to determination of patient parameters

Triggering storage of electrocardiogramar detected premature ventricular contractions (PVCS)

In some examples, a medical system includes a medical device. The medical device may include a housing configured to be implanted in a target site of a patient, a light emitter configured to emit a signal configured to cause a fluorescent marker to emit a fluoresced signal into the target site, and a light detector that may be configured to detect the fluoresced signal. The medical system may include processing circuitry configured to determine a characteristic of the fluorescent marker based on the emitted signal and the fluoresced signal. The characteristic of the fluorescent marker may be indicative of a presence of a compound in the patient, and the processing circuitry may be configured to track the presence of the compound of the patient based on the characteristic of the fluorescent marker.

Marker monitoring via a medical device

The disclosure describes techniques for delivering electrical stimulation to decrease the ventricular rate response during an atrial tachyarrhythmia, such as atrial fibrillation. AV nodal stimulation is employed during an atrial tachyarrhythmia episode with rapid ventricular conduction to distinguish ventricular tachyarrhythmia from supraventricular tachycardia and thereby prevent delivering inappropriate therapy to a patient.

AV nodal stimulation during atrial tachyarrhythmia to prevent inappropriate therapy delivery

Methods for monitoring patient parameters and blood fluid removal system parameters include identifying those system parameters that result in improved patient parameters or in worsened patient parameters. By comparing the patient's past responses to system parameters or changes in system parameters, a blood fluid removal system may be able to avoid future use of parameters that may harm the patient and may be able to learn which parameters are likely to be most effective in treating the patient in a blood fluid removal session.

Adaptive system for blood fluid removal

Determining a fall risk responsive to detecting body position movements

A system and method for synchronizing patient medical parameters and dialysis parameters. The system and related method allow for the determination of the effect of dialysis on patient health. The invention also allows for the determination of whether observed patient health effects are due to specific dialysis parameters and for making necessary changes to the dialysis parameters in order to improve patient health.

Precision dialysis monitoring and synchonization system

Precision dialysis monitoring and synchronization system

Systems and methods are provided for determining an estimated risk of arrhythmia during or after dialysis based on changes in serum potassium concentration of a patient and an amount of fluid removed from the patient during dialysis. The systems and methods allow for a determination of a risk that arrhythmia will occur due to the changes in potassium and fluid volume of a patient during dialysis, and for optimizing a dialysis prescription in order to minimize the risk of arrhythmia.

Dialysis prescription optimization for decreased arrhythmias

Methods of nerve signal differentiation, methods of delivering therapy using such nerve signal differentiation, and to systems and devices for performing such methods. Nerve signal differentiation may include locating two electrodes proximate nerve tissue and differentiating between efferent and afferent components of nerve signals monitored using the two electrodes.

Nerve signal differentiation in cardiac therapy

In some examples, determining a heart failure status of a patient using a medical device comprising a plurality of electrodes includes determining an estimated arterial pressure waveform of the patient based on an arterial impedance signal received from at least two of the plurality of electrodes. The estimated arterial pressure waveform may comprise a plurality of arterial pressure cycles. Each of the plurality of arterial pressure cycles may correspond to a different cardiac cycle of a plurality of cardiac cycles of the patient. At least one value of an intrinsic frequency of the corresponding arterial pressure cycle may be determined for at least some of the plurality of cardiac cycles and the heart failure status of the patient may be determined based on the at least one value of the intrinsic frequency.

Sensing for heart failure management

Growing community of inventors

Andover, MN, United States of America

John E Burnes