Cardiac Pacemakers, Inc.

Other

University of Washington

Dan Li

Jaeho Kim

Shelley Marie Cazares

Yanting Dong

Allan Charles Shuros

David L Perschbacher

Joseph M Bocek

Yayun Lin

Quan Ni

Deepa Mahajan

Yunlong Zhang

Arjun D Sharma

Haresh G Sachanandani

Jeffrey E Stahmann

Yi Zhang

Kent Lee

Shibaji Shome

Jonathan T Kwok

Cheng Zhang

Benjamin Ettori

Shijie Zhang

Yinghong Yu

Krzysztof Z Siejko

Shantha Arcot-Krishnamurthy

Aaron R McCabe

Abhilash Patangay

Bin Mi

Xuan K Wei

Derek Daniel Bohn

Chenguang Liu

William H Sauer

Imad Libbus

Pramodsingh Hirasingh Thakur

Michael John Kane

Rodney W Salo

Gerrard Merrill Carlson

James O Gilkerson

Robert J Sweeney

Bruce Alan Tockman

Julie A Thompson

Stephen John Hahn

Donald Lee Hopper

Kevin John Stalsberg

Carlos Alberto Ricci

Younan Xia

Gary Thomas Seim

M Jason Brooke

Julie Stephenson

Alok S Sathaye

Amy Jean Brisben

Peter Conti

LeAnne M Eberle

Zibo Li

John H Tangren

Andrea E Acuna

Shuanglong Liu

Michael Gold

Jagmeet Singh

Qian Zhong

Randall L McPherson

Stevens L Martin

Alicia Elaine Byrnes

Efdal Elferri

This invention provides a class of dual mode imaging tracer capable of acting both as a fluorescent imaging tracer and a positron emission tomography imaging tracer. Tracers in accordance with this invention generally have a fluorescent core with a boron-fluoride element embedded therein. Exemplary embodiments of the tracer includeF-labeled BODIPY compounds and derivative thereof. Also provided are tracer kits containing a sterile formulation of a BODIPY dye either in a radio-labeled or pre-labeled state, and methods for imaging heart perfusion using theF-labeled dual mode tracers.

18F labeled BODIPY dye and its derivatives for PET imaging of heart perfusion and others

An apparatus comprises an implantable cardiac signal sensing circuit configured to provide a sensed depolarization signal from a ventricle and a processor. The processor includes a signal analyzer module and a tachyarrhythmia discrimination module. The signal analyzer module is configured to determine a measure of stability of ventricular (V-V) depolarization intervals using the depolarization signal, and determine a rate of change of the measure of stability. The tachyarrhythmia discrimination module is configured to detect an episode of tachyarrhythmia using the depolarization signal, determine whether the detected tachyarrhythmia is indicative of atrial tachyarrhythmia using the determined rate of change, and provide the determination to a user or process.

Methods for detecting atrial tachyarrhythmia in implantable devices without dedicated atrial sensing

A system comprises a cardiac signal sensing circuit and a processor circuit. To detect a QRS duration, the processor circuit determines an isoelectric amplitude value of the cardiac signal segment, identifies a time where the cardiac signal segment amplitude deviates from the first isoelectric amplitude value by a specified threshold deviation value as a Q time, determines an isoelectric value time after the determined maxima and minima times that the cardiac signal segment returns to the same or a different isoelectric amplitude value, identifies a time that follows both the determined maxima and minima times and precedes the isoelectric value time as an S time, wherein the cardiac signal segment amplitude at the identified S time satisfies a specified amplitude change criterion from an isoelectric amplitude value, and determines a time duration of the QRS complex in the cardiac signal segment using the identified Q and S times.

Wide QRS detector

Monitoring physiological parameter using an implantable physiological monitor in order to detect a condition predictive of a possible future pathological episode and collecting additional physiological data associated with the condition predictive of a possible future pathological episode. Monitoring another physiological parameter in order to detect a condition indicative of the beginning of a present pathological episode and collecting additional pathological data in response to the condition. Determining that the condition predictive of a future episode and the condition indicative of a present episode are associated and, in response thereto, storing all the collected physiological data.

Adaptive event storage in a medical device

Adaptive event storage in implantable device

An implantable medical device includes a tachyarrhythmia detection and classification system that classifies tachyarrhythmias based on a morphological analysis of template and arrhythmic waveforms. The morphological analysis takes effect of heart rate on the morphological characteristics of the template and arrhythmic waveforms into consideration. Correlation between morphological features of the template waveform and corresponding morphological features of an arrhythmic waveform provides for the basis for classifying the tachyarrhythmia. In one embodiment, corresponding morphological features are extracted from the template and arrhythmic waveforms at locations determined by the heart rate associated with a detected arrhythmia episode. In another embodiment, weighting factors each being a function of the heart rate are applied to the template and arrhythmic morphological features before a correlation coefficient is calculated.

Method and apparatus for rate-dependent morphology-based cardiac arrhythmia classification

An apparatus comprises a primary cardiac signal sensing circuit to sense a first cardiac signal, a secondary cardiac signal sensing to sense a second cardiac signal, and an arrhythmia detection circuit. The primary sensing circuit includes at least first and second implantable electrodes, and the secondary sensing circuit includes a third implantable electrode to deliver high-energy shock therapy. The arrhythmia detection circuit detects tachyarrhythmia using the primary sensing circuit, determines correspondence between events sensed with the primary sensing circuit and events sensed with the secondary sensing circuit, and deems whether a detected rhythm is indicative of noise or is indicative of an arrhythmia according to the determined correspondence.

Cross-channel noise detector in implantable medical devices

Various system embodiments comprise at least one sensor input adapted to receive at least one sensed signal associated with a tachyarrhythmia, a feature set extractor adapted to extract at least two features from the at least one sensed signal associated with the tachyarrhythmia, a feature set generator adapted to form a feature set using the at least two features extracted by the feature set extractor, at least one generator adapted for use to selectively apply an anti-tachycardia pacing (ATP) therapy and a neural stimulation (NS) therapy, and a controller adapted to respond to the feature set. The controller is adapted to initiate the NS therapy when the feature set corresponds to criteria for applying the NS therapy to modify the tachyarrhythmia, and initiate the ATP therapy to terminate the modified tachyarrhythmia. Other aspects and embodiments are provided herein.

Method and device for providing anti-tachyarrhythmia therapy

Various implantable medical device embodiments stimulate an autonomic neural target from within a pulmonary artery, and comprise at least one electrode, a power supply, a neural stimulator connected to the power supply, and an anchor structure. The neural stimulator is configured to generate a neural stimulation signal for delivery to the neural stimulation target through the at least one electrode. The anchor structure is configured to chronically and securely implant the neural stimulator, the power supply and the at least one electrode within the pulmonary artery. The anchor structure, the neural stimulator, the power supply and the at least one electrode are configured to be implanted through a pulmonary valve into the pulmonary artery. In various embodiments, the neural stimulator is configured to be operational to implement a neural stimulation protocol when chronically implanted within the pulmonary artery without a wired connection through the pulmonary valve.

System for transvascularly stimulating autonomic targets

A system and method for performing off-line analysis of cardiac electrogram data, comprising: retrieving an electrogram from a memory location; identifying a first-channel group of candidate beats from at least a first channel of the electrogram; and identifying a second-channel group of candidate beats from at least a second channel of an electrogram. For each first-channel beat candidate near a second-channel beat candidate, the amplitude of the first-channel beat candidate is compared with the amplitude of a previous beat and the amplitude of a next beat on the first electrogram channel, and first-channel beat candidates that are outside of a first pre-determined range from either the previous or next beat are removed. Then first-channel beat candidates that are outside of a second pre-determined range from either the previous or next beat candidate are removed.

System and method for off-line analysis of cardiac data

An implantable sensor circuit can be configured to generate a first sensor signal representative of mechanical activation of a first chamber of a heart of a subject and a second sensor signal representative of mechanical activation of a second chamber of the heart. A chamber synchrony measurement circuit can be configured to generate a measure of synchrony of the mechanical activations of the first heart chamber and the second heart chamber using the first and second sensor signals, a tachyarrhythmia detector circuit, and a control circuit. The control circuit can be configured to receive an indication of a detected episode of tachyarrhythmia, and to initiate, select, or adjust a device-based therapy at least in part using the measure of synchrony of the mechanical activations in response to the tachyarrhythmia detection.

Systems and methods of characterizing mechanical activation patterns for rhythm discrimination and therapy

A method and system for discriminating ventricular arrhythmia is disclosed. In an embodiment, the method can include implementing an arrhythmia discrimination algorithm that can discriminate between supraventricular tachycardia (SVT) and ventricular tachycardia (VT) using at least one programmable parameter programmed to a first value. The method can include analyzing an SVT event, where analyzing the SVT event can include sensing a physiological signal during the SVT event and identifying characteristics of the sensed physiological signal. The method can further include analyzing a cardiac signal to classify the cardiac signal as either an SVT or a VT using the arrhythmia discrimination algorithm with the programmable parameter (programmed to a second value. The second value can be determined from the identified characteristics of the sensed physiological signal.

Method and system for arrhythmia discrimination

A system and method for performing independent, off-line evaluation of event sensing for collected electrograms, comprising: sensing an electrogram using an implantable medical device (IMD); determining locations of heart beats on at least one channel of the electrogram using a multi-pass process, resulting in a group of multi-pass beat locations; storing the electrogram and device-identified beat locations in a memory location; and retrieving the electrogram and device-identified beat locations from the memory location. The multi-pass process determines locations of heart beats on at least a first channel of the electrogram. The device-identified group of beat locations are then compared to the multi-pass group of beat locations identified using the multi-pass method. Based on the comparing step, oversensing of beats, undersensing of beats, or noise from the device can be detected.

Off-line sensing method and its applications in detecting undersensing, oversensing, and noise

In various method embodiments for classifying an arrhythmia, a characteristic of a ventricle is sensed before delivering a diagnostic neural stimulation. The diagnostic neural stimulation is delivered, and the characteristic of the ventricle is sensed while delivering the diagnostic neural stimulation. The sensed characteristic of the ventricle before and during the diagnostic neural stimulation is used to classify the arrhythmia as either a supraventricular tachyarrhythmia (SVT) or a ventricular tachycardia (VT). According to various embodiments, the characteristic of the ventricle is ventricular rate, similarity values of sensed ventricular morphology to a normal sinus rhythm (NSR), or ventricular hemodynamics. Various embodiments use ventricular rate regularity before and during the diagnostic neural stimulation to classify an SVT as atrial fibrillation (AF) or as another SVT.

Methods and systems for recognizing arrhythmias using neural stimulation

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Shoreview, MN, United States of America

Dan Li