Medtronic, Inc.

Pacesetter, Inc.

Telectronics Pacing Systems, Inc.

Other

Covidien LP

Biotronik Mess-und Therapiegeraete Gmbh & Co Ingenieurbuero Berlin

Medronic, Inc.

Medtronic, Inc. (cvg)

Saul E Greenhut

Xusheng Zhang

Wade M Demmer

Robert W Stadler

Jian L Cao

Todd Jon Sheldon

Troy Edward Jackson

James D Reinke

Yong Kyun Cho

Karen J Kleckner

Paul R Solheim

Michael T Hemming

James Kevin Carney

Walter H Olson

Tibor A Nappholz

Michael W Heinks

Yuanzhen Liu

Robert J Nehls

Mark L Brown

Tommy Dean Bennett

Irving J Sanchez

Jonathan L Kuhn

Mark K Erickson

Gerald P Arne

Bruce M Steinhaus

Timothy A Ebeling

Maneesh Shrivastav

Albert K Dawson

Charles P Sperling

Matthew David Bonner

David A Anderson

Yanina Grinberg

Vincent P Ganion

Robert T Taepke

Robert A Corey

Donna M Salmi

David R Bloem

Chih-ming James Chiang

Subham Ghosh

Can Cinbis

David Jerome Peichel

Hyun J Yoon

Richard M Lu

James W Busacker

Juan Du

Daniel Cooper

Gene A Bornzin

Avram Scheiner

Euljoon Park

Joseph J Florio

Jonathon E Giftakis

Eric J Panken

Randal C Schulhauser

Paul Gordon Krause

John Wainwright

Michael F Hess

Paul J Degroot

Mark R Boone

Teresa A Whitman

Raja N Ghanem

Michael D Eggen

Richard J O'Brien

Mustafa Karamanoglu

Kathryn Hilpisch

Dean J MacCarter

Eric R Williams

Alfonso Aranda Hernandez

Scott W Davie

Nathalie Virag

Anthony J Murphy

Michelle M Galarneau

Paul G Krause

Holly S Vitense

Ekaterina M Ippolito

Shravya Srigiri

Max Schaldach, Jr Legal Representative

Veerdhaval Mahajan

Kevin L Dehmer

Gary Schneider

Scott DeFoe

Gavin M Mischler

Karin J Kleckner

A medical device is configured to receive cardiac electrical signals and sense ventricular event signals from the cardiac electrical signals. The medical device may start a validation window in response to sensing a ventricular event signal and determine if the ventricular event signal is a valid event signal or an invalid event signal based on processing of a different cardiac electrical signal than the cardiac electrical signal from which the ventricular event signal was sensed.

Medical device and method for cardiac pacing and sensing

A medical device is configured to sense event signals from a cardiac electrical signal and determine maximum amplitudes of cardiac electrical signal segments associated with sensed event signals. The medical device is configured to determine at least one tachyarrhythmia metric based on at least a greatest one of the determined maximum amplitudes. The medical device may determine when the at least one tachyarrhythmia metric does not meet true tachyarrhythmia evidence and, in response, determine when the maximum amplitudes meet suspected noise criteria. The medical device may withhold a tachyarrhythmia detection and tachyarrhythmia therapy when suspected noise criteria are met.

Medical device and method for detecting electrical signal noise

A medical device is configured to sense a cardiac electrical signal and detect an atrial tachyarrhythmia based on the sensed cardiac electrical signal. The medical device is configured to determine that far field oversensing criteria are met by the cardiac electrical signal during the detected atrial tachyarrhythmia. The medical device may detect termination of the detected atrial tachyarrhythmia in response to the far field oversensing criteria being met.

Device and method for atrial tachyarrhythmia detection

An implantable medical device system capable of sensing cardiac electrical signals includes a sensing circuit, a therapy delivery circuit and a control circuit. The sensing circuit is configured to receive a cardiac electrical signal and sense a cardiac event in response to the signal crossing a cardiac event sensing threshold. The therapy delivery circuit is configured to deliver an electrical stimulation therapy to a patient's heart via the electrodes coupled to the implantable medical device. The control circuit is configured to control the sensing circuit to set a starting value of the cardiac event sensing threshold and hold the starting value constant for a sense delay interval. The control circuit is further configured to detect an arrhythmia based on cardiac events sensed by the sensing circuit and control the therapy delivery circuit to deliver the electrical stimulation therapy in response to detecting the arrhythmia.

Multi-threshold sensing of cardiac electrical signals in an extracardiovascular implantable cardioverter defibrillator

A medical device is configured to sense an electrical signal and determine that signal to noise criteria are met based on electrical signal segments stored in response to sensed electrophysiological events. The medical device is configured to determine an increased gain signal segment from one of the stored electrical signal segments in response to determining that the signal to noise criteria are met. The medical device determines a noise metric from the increased gain signal segment. The stored electrical signal segment associated with the increased gain signal segment may be classified as a noise segment in response to the noise metric meeting noise detection criteria.

A medical device, such as an extra-cardiovascular implantable cardioverter defibrillator (ICD), senses R-waves from a first cardiac electrical signal by a first sensing channel and stores a time segment of a second cardiac electrical signal acquired by a second sensing channel in response to each sensed R-wave. The ICD determines morphology match scores from the stored time segments of the second cardiac electrical signal and, based on the morphology match scores, withholds detection of a tachyarrhythmia episode. In some examples, the ICD detects T-wave oversensing based on the morphology match scores and withholds detection of a tachyarrhythmia episode in response to detecting the T-wave oversensing.

Cardiac electrical signal morphology and pattern-based T-wave oversensing rejection

An extra-cardiovascular implantable cardioverter defibrillator senses R-waves from a first cardiac electrical signal by a first sensing channel and stores a time segment of a second cardiac electrical signal in response to each sensed R-wave. The ICD determines intervals between successively sensed R-waves and, in response to at least a predetermined number of the intervals being less than a tachyarrhythmia detection interval, analyzes at least a portion of the time segment of the second cardiac electrical signal corresponding to a most recent one of the sensed R-waves to confirm the most recent one of the R-waves. The ICD updates an unconfirmed beat count in response to the most recent one of the R-waves not being confirmed and withholds detection of a tachyarrhythmia episode in response to the unconfirmed beat count being equal to or greater than a rejection threshold.

System and method for sensing and detection in an extra-cardiovascular implantable cardioverter defibrillator

A system comprises a sensor device and processing circuitry. The sensor device comprises a housing configured to be disposed above shoulders of a patient, a plurality of electrodes on the housing, a motion sensor, and sensing circuitry configured to sense a brain electrical signal and a cardiac electrical signal via the electrodes, and a motion signal via the motion sensor. The processing circuitry is configured to determine values over time of one or more parameters from the brain electrical signal, determine values over time of one or more parameters from the cardiac electrical signal, and generate at least one of a detection, prediction, or a classification a condition of the patient based on the values and the motion signal.

Detection of patient conditions using signals sensed on or near the head

An implantable medical device includes a memory storing criteria for transitioning between states of a cardiac cycle model, the states including a P-wave state. The device also includes sensing circuitry that senses a cardiac signal that varies as a function of a cardiac cycle of a patient, and also includes processing circuitry coupled to the sensing circuitry. The processing circuitry is configured to detect an R-wave in the sensed cardiac signal, to determine an elapsed time since the detection of the R-wave, to determine one or more morphological values of a post-R-wave segment of the cardiac signal to compare the elapsed time and the one or more morphological values to the stored criteria for transitioning between the plurality of states of the cardiac cycle model, and to detect a P-wave in the sensed cardiac signal in response to a transition to the P-wave state of the cardiac cycle model.

State-based atrial event detection

Techniques and systems for monitoring cardiac arrhythmias and delivering electrical stimulation therapy using a subcutaneous implantable cardioverter defibrillator (SICD) and a leadless pacing device (LPD) are described. For example, the SICD may detect a tachyarrhythmia within a first electrical signal from a heart and determine, based on the tachyarrhythmia, to deliver anti-tachyarrhythmia shock therapy to the patient to treat the detected arrhythmia. The LPD may receive communication from the SICD requesting the LPD deliver anti-tachycardia pacing to the heart and determine, based on a second electrical signal from the heart sensed by the LPD, whether to deliver anti-tachycardia pacing (ATP) to the heart. In this manner, the SICD and LPD may communicate to coordinate ATP and/or cardioversion/defibrillation therapy. In another example, the LPD may be configured to deliver post-shock pacing after detecting delivery of anti-tachyarrhythmia shock therapy.

Systems and methods for leadless pacing and shock therapy

A medical device system, such as an extra-cardiovascular implantable cardioverter defibrillator ICD, senses R-waves from a first cardiac electrical signal by a first sensing channel and stores a time segment of a second cardiac electrical signal in response to each sensed R-wave. The medical device system determines a morphology parameter correlated to signal noise from time segments of the second cardiac electrical signal, detects a noisy signal segment based on the signal morphology parameter; and withholds detection of a tachyarrhythmia episode in response to detecting a threshold number of noisy signal segments.

Cardiac electrical signal gross morphology-based noise detection for rejection of ventricular tachyarrhythmia detection

A medical device is configured to generate an acceleration signal and a temperature signal. The device is configured to determine an activity metric from the acceleration signal that is representative of patient physical activity. In response to determining that the activity metric is equal to or greater than a previously determined activity metric, the device is configured to adjust a target cardiac pacing rate based at least on a temperature change determined from the temperature signal. The device may include a pulse generator for generating cardiac pacing pulses based on the target cardiac pacing rate.

Dual sensors to control pacing rate

The control module of a first pacemaker included in an implantable medical device system including the first pacemaker and a second pacemaker is configured to set a pacing escape interval in response to a far field pacing pulse sensed by the first pacemaker. The far field pacing pulse is a pacing pulse delivered by the second pacemaker. The pacing escape interval is allowed to continue without restarting the in response to a far field intrinsic event sensed by the first pacemaker during the pacing escape interval. The first pacemaker delivers a cardiac pacing pulse to the heart upon expiration of the pacing escape interval.

Multi-chamber intracardiac pacing system

This disclosure is related to devices, systems, and techniques for performing patient parameter measurements. In some examples, a medical device system includes an optical sensor configured to measure ambient light and a tissue oxygen saturation parameter and processing circuitry configured to determine that a current measurement of the tissue oxygen saturation parameter is prompted and control the optical sensor to perform an ambient light measurement associated with the current measurement of the tissue oxygen saturation parameter. The processing circuitry is further configured to determine, based on the ambient light measurement, at least one of whether to control the optical sensor to perform the current measurement of the tissue oxygen saturation parameter, when to control the optical sensor to perform the current measurement of the tissue oxygen saturation parameter, or whether to include the current measurement of the tissue oxygen saturation parameter in a trend of the tissue oxygen saturation parameter.

Performing measurements using sensors of a medical device system

Systems, devices, and techniques for establishing communication between two medical devices are described. In one example, an implantable medical device comprises communication circuitry, therapy delivery circuitry, and processing circuitry configured to initiate a communication window during which the implantable second medical device is capable of receiving the information related to a cardiac event detected by a first medical device, the communication window being one of a plurality of communication windows defined by a communication schedule that corresponds to a transmission schedule in which the first medical device is configured to transmit the information, control the communication circuitry to receive, from the first medical device, the information related to the cardiac event that is indicative of a timing of the cardiac event with respect to a timing of the communication window, schedule and control delivery of a therapy according to the information related to the cardiac event.

Low power wireless communication

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Aurora, CO, United States of America

Saul E Greenhut