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Scott A. Meyer

Researcher at Cardiac Pacemakers, Inc.

Publications -  49
Citations -  1585

Scott A. Meyer is an academic researcher from Cardiac Pacemakers, Inc.. The author has contributed to research in topics: Signal & Cardiac monitoring. The author has an hindex of 22, co-authored 48 publications receiving 1584 citations. Previous affiliations of Scott A. Meyer include Boston Scientific Corporation.

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Patent

Neurostimulation systems and methods for cardiac conditions

TL;DR: In this article, an implantable medical device comprising of a detector, a neural stimulator, and a controller is presented to detect a pathological condition indicated for an acute neural stimulation therapy.
Patent

Automatic capture verification using electrocardiograms sensed from multiple implanted electrodes

TL;DR: In this paper, a cardiac response to the pacing pulses is classified using characteristics associated with cardiac signal vectors and the signals associated with the vectors, such as an angle or an angle change of the signal vectors, or a predetermined range of angles of the one or more signal vectors.
Patent

Cardiac activation sequence monitoring for ischemia detection

TL;DR: Cardiac signal separation is employed to detect, monitor, track and/or trend ischemia using cardiac activation sequence information as mentioned in this paper, which may involve sensing composite cardiac signals using implantable electrodes, and performing a signal separation that produces one or more cardiac activation signal vectors associated with one or multiple cardiac activation sequences.
Patent

Cardiac response classification using multiple classification windows

TL;DR: In this article, a plurality of classification windows are established relative to and following a pacing pulse, where one or more characteristics of a cardiac signal sensed following the pacing pulse are detected within one-or more particular classification windows.
Patent

Cardiac activation sequence monitoring and tracking

TL;DR: In this paper, a method of signal separation involves detecting a change in a characteristic of the cardiac signal vector relative to a baseline, and information associated with the vectors and/or activation sequences may be stored and tracked.