Cardiac Pacemakers, Inc.

Cameron Health, Inc.

Krzysztof Z Siejko

Gerrard Merrill Carlson

Jeffrey E Stahmann

Marina V Brockway

Abhilash Patangay

Keith R Maile

Ramesh Wariar

Stephen John Hahn

Qi An

Robert J Sweeney

Keith L Herrmann

Pramodsingh Hirasingh Thakur

Sunipa Saha

Yinghong Yu

Amy Jean Brisben

John D Hatlestad

Deepa Mahajan

Imad Libbus

Yi Zhang

Viktoria A Averina

Allan Charles Shuros

Venugopal Allavatam

Carlos Haro

Brendan Early Koop

Holly Elizabeth Rockweiler

David J Ternes

Aaron R McCabe

James O Gilkerson

James Kalgren

Yousufali H Dalal

Michael John Kane

David L Perschbacher

Shibaji Shome

Bin Mi

Qingsheng Zhu

William J Linder

Benjamin J Haasl

Kent Lee

Stephen B Ruble

Jason J Hamann

Richard Fogoros

Kevin G Wika

Kenneth N Hayes

Laura Green

Jiang Ding

Julie A Thompson

Frank W Ingle

Kenneth C Beck

David C Olson

Richard O Kuenzler

Kevin John Stalsberg

Shelley Marie Cazares

Arjun D Sharma

Haresh G Sachanandani

Andres Belalcazar

Jon Peterson

Mitchell D Lanz

William C Lincoln

Benjamin Speakman

Dan Li

Yanting Dong

Mohan Krishnan

Kenneth L Baker

Derek Daniel Bohn

Jonathan Bennett Shute

Clayton Scott Foster

Loell Boyce Moon

Jason Humphrey

Michael James Dufresne

Andrew P Kramer

Quan Ni

Jesse W Hartley

Bryan Allen Clark

Brian D Soltis

Paul J Huelskamp

Eric Keith Enrooth

Rezwan Ahmed

Adam MacEwen

Gezheng Wen

John H Tangren

Jonathan Walter Krueger

JoAnna Trapp Simpson

Gerard M Carlson

Thomas V Karathanos

Aaron R Mccabe

Brian A Clark

Systems and methods for managing heart failure are described. The system receives physiological information including a first HS signal corresponding to paced ventricular contractions and a second HS signal corresponding to intrinsic ventricular contractions. The system detects worsening heart failure (WHF) using the received physiological information. A signal analyzer circuit can generate a paced HS metric from the first HS signal and a sensed HS metric from the second HS signal, and determine a concordance indicator between the paced and the sensed HS metrics. In response to the detected WHF, the system can use the concordance indicator to generate a therapy adjustment indicator for adjusting electrostimulation therapy, or a worsening cardiac contractility indicator indicating the detected WHF is attributed to degrading myocardial contractility.

Systems and methods for heart failure management

Embodiments of the present disclosure relate to imaging a body part using sounds. In embodiments, a system comprises a motion sensor and a processing device communicatively coupled to the motion sensor. The motion sensor is configured to sense an acceleration wave produced by a sound emitted by a source and generate acceleration measurements in response to sensing the acceleration wave, wherein the source is associated with the body part of a subject. The processing device is configured to receive the acceleration measurements and determine a location of the source using a location of the motion sensor and the acceleration measurements. In addition, the processing device is configured to image the body part of the subject using the determined location of the source and the acceleration measurements.

Imaging of a body part using sounds

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 heart sound information from a subject's head are described. A system embodiment includes a headgear to be worn on the subject's head, and first and second sensors to sense respectively first and second physiologic signals each representing vibration, motion, or displacement conducted through patient body tissue. The sensed physiologic signals contain heart sound information. At least one of the first or the second sensor is included in the headgear, and placed at a head location to sense a physiologic signal indicative of heart sounds. The system includes a processor to generate a composite signal using the sensed first and second physiologic signals. The system may generate a heart sound metric using the composite signal, and detect a cardiac event such as an arrhythmia or worsening heart failure.

Heart sound sensing headgear

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 ventricularly implantable medical device that includes a sensing module that is configured to detect an atrial fiducial and identify an atrial contraction based at least on part on the detected atrial fiducial. Control circuitry in the implantable medical device is configured to deliver a ventricular pacing therapy to a patient's heart based at least in part on the identified atrial contraction, and can automatically switch or revert the ventricular pacing therapies on the fly.

Leadless cardiac pacemaker with reversionary behavior

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

An example of a system includes an implantable medical device (IMD) for implantation in a patient, where the IMD includes a cardiac pace generator, phrenic nerve stimulation (PS) sensor, a memory, and a controller, and where the controller is operably connected to the cardiac pace generator to generate cardiac paces. The controller is configured to provide a trigger for conducting a PS detection procedure and perform the PS detection procedure in response to the trigger. In performing the PS detection procedure the controller is configured to receive a signal from the sensor, detect PS using the signal from the sensor, and record the PS detection in storage within the IMD.

Ambulatory phrenic nerve stimulation detection

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

This document discusses, among other things, systems and methods to generate a first pacing waveform during a first pacing period and a second pacing waveform during a second pacing period, to alternate first and second pacing periods to provide pacing-based hypertension therapy to a heart of a patient to reduce patient blood pressure, to receive information indicative of patient metabolic demand, and to determine an adjusted pacing-based hypertension therapy parameter using the received information indicative of patient metabolic demand, wherein the first pacing waveform has a first atrioventricular (AV) delay and the second pacing waveform has a second AV delay longer than the first AV delay.

Pacing-based hypertension therapy metabolic demand adjustment

This document discusses, among other things, systems and methods to determine a response between received cardiac electrical information from a subject, such as a time of a P wave, and received cardiac acceleration information of the subject, such as a time of a first heart sound (S1) or a second heart sound (S2), across a set of stimulation signals provided to the subject at different AVD intervals, and determining one or more cardiac resynchronization therapy (CRT) parameters using an inflection point of the determined response.

Response-based cardiac resynchronization therapy parameter determination

This document discusses, among other things, systems and methods to determine a response curve between received cardiac electrical information from a subject, such as a time of a P wave, and received cardiac acceleration information of the subject, such as a time of a first heart sound (S1) or a second heart sound (S2), to a set of stimulation signals provided to the subject at different AVD intervals. In certain examples, one or more cardiac resynchronization therapy (CRT) parameters can be determined for the subject using the determined response curve.

Cardiac resynchronization therapy heart sound response characterization

An implantable medical device (IMD) that includes a housing, a first electrode secured relative to the housing, a second electrode secured relative to the housing, and a gyroscope secured relative to the housing. The IMD may include circuitry in the housing in communication with the first electrode, the second electrode, and the gyroscope. The circuitry may be configured to determine and store a plurality of torsion data measurements, from which a representation of a twist profile may be determined.

Implantable medical device with gyroscope

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Maple Grove, MN, United States of America

Krzysztof Z Siejko