Cameron Health, Inc.

Cardiac Pacemakers, Inc.

The Uab Research Foundation

Westlund, Randy

Heil, Ronald W., Jr.

Repasky, Christina

Bye, Lyle A.

Warren, Jay A.

Kelley, Peter T.

Scheiner, Avram

Tockman, Bruce

Soltis, Brian D.

Jay A Warren

Rick Sanghera

Venugopal Allavatam

Surekha Palreddy

Gust H Bardy

Alan H Ostroff

Bruce H KenKnight

Avram Scheiner

Gerrard Merrill Carlson

Ronald W Heil, Jr

James William Phillips

William Hsu

Peter T Kelley

Jeffrey E Stahmann

Qingsheng Zhu

Randy W Westlund

Bruce Alan Tockman

Stephen John Hahn

Julio Cesar Spinelli

Mark Schroeder

Jesse W Hartley

Raymond E Ideker

Gary Thomas Seim

David M Flynn

Yayun Lin

Victor T Chen

David B Krig

John E Heil

Mary Lee Cole

Curtis Charles Lindstrom

Kurt Ware

Jeffrey T Bartig

Randall M Peterfeso

Carol Werlein

Aaron W Janke

Robert S Booker, Iii

Gary W Goebel

Douglas A Heitkamp

Eric F King

Abdulkader Sudam

Don E Scheck

Keith R Maile

Brian D Soltis

Lili Liu

Gregory P Walcott

Gwen Crevensten

Lyle A Bye

Christina Repasky

Chris Zerby

Jay O Millerhagen

Signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In some examples, detected events are analyzed to identify changes in detected event amplitudes. When detected event amplitudes are dissimilar from one another, a first set of detection parameters may be invoked, and, when detected event amplitudes are similar to one another, a second set of detection parameters may be invoked. Additional examples determine whether the calculated heart rate is 'high' or 'low,' and then may select a third set of detection parameters for use when the calculated heart rate is high.

Accurate cardiac event detection in an implantable cardiac stimulus device

Adaptive methods for initiating charging of the high power capacitors of an implantable medical device for therapy delivery after the patient experiences a non-sustained arrhythmia, and devices that perform such methods. The adaptive methods and devices adjust persistence criteria used to analyze an arrhythmia prior to initiating a charging sequence to deliver therapy. Some embodiments apply a specific sequence of X-out-of-Y criteria, persistence criteria and last even criteria before starting charging for therapy delivery.

Methods and devices for adapting charge initiation for an implantable defibrillator

The present invention is directed toward a detection architecture for use in implantable cardiac rhythm devices. The detection architecture of the present invention provides methods and devices for discriminating between arrhythmias. Moreover, by exploiting the enhanced specificity in the origin of the identified arrhythmia, the detection architecture can better discriminate between rhythms appropriate for device therapy and those that are not.

Method for discriminating between ventricular and supraventricular arrhythmias

Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In illustrative examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. New methods for organizing the use of morphology and rate analysis in an overall architecture for rhythm classification and cardiac signal analysis are also discussed.

Methods and devices for accurately classifying cardiac activity

Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In some examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. Several examples emphasize the use of morphology analysis using correlation to static templates and/or inter-event correlation analysis.

Methods, systems, and devices for signal analysis in an implantable cardiac device such as an implantable cardioverter defibrillator. In illustrative examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. Analysis of the apparent width of detected events is used to determine whether overdetection is occurring. If overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data.

Methods and devices that identify overdetection in implantable cardiac systems

Adaptive methods for initiating charging of the high power capacitors of an implantable medical device for therapy delivery after the patient experiences a non-sustained arrhythmia, and devices that perform such methods. The adaptive methods and devices adjust persistence criteria used to analyze an arrhythmia prior to initiating a charging sequence to deliver therapy. Some embodiments apply a specific sequence of X-out-of-Y criteria, persistence criteria, and last event criteria before starting charging for therapy delivery.

Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In some illustrative examples, detected events are analyzed to identify changes in detected event amplitudes. When detected event amplitudes are dissimilar from one another, a first set of detection parameters may be invoked, and, when detected event amplitudes are similar to one another, a second set of detection parameters may be invoked. Additional methods determine whether the calculated heart rate is 'high' or 'low,' and then may select a third set of detection parameters for use when the calculated heart rate is high.

The implantable cardiac treatment system of the present invention is capable of choosing the most appropriate electrode vector to sense within a particular patient. In certain embodiments, the implantable cardiac treatment system determines the most appropriate electrode vector for continuous sensing based on which electrode vector results in the greatest signal amplitude, or some other useful metric such as signal-to-noise ratio (SNR). The electrode vector possessing the highest quality as measured using the metric is then set as the default electrode vector for sensing. Additionally, in certain embodiments of the present invention, a next alternative electrode vector is selected based on being generally orthogonal to the default electrode vector. In yet other embodiments of the present invention, the next alternative electrode vector is selected based on possessing the next highest quality metric after the default electrode vector. In some embodiments, if analysis of the default vector is ambiguous, the next alternative electrode vector is analyzed to reduce ambiguity.

Multiple electrode vectors for implantable cardiac treatment devices

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San Juan Capistrano, CA, United States of America

Jay A Warren