Cameron Health, Inc.

Mark Schroeder

Venugopal Allavatam

Rick Sanghera

Jay A Warren

Methods and devices for addressing difficulty with cardiac event sensing that can arise if the starting point of the cardiac cycle is not well aligned to the intended starting point of a detection profile used for sensing. As an improvement, illustrative methods and devices provide an addition to cardiac sensing operations by adjusting the starting point of a detection profile to align with a desired point in the cardiac signal.

Implantable cardiac device sensing with refractory period alignment to signal peak

Methods and devices for accelerating the identification of arrhythmias in implantable medical devices. Following identification of a potential arrhythmia onset condition, such as by identifying a plurality of closely coupled detected events, a retrospective pattern recognition analysis is performed to seek out a possible onset comprising a Torsades de Pointes. Although the methods and devices are designed to target Torsades de Pointes, wider application to other arrhythmia onset conditions is contemplated as well.

Methods and implantable devices for detecting arrhythmia

Systems, methods and non-transient software media for performing sensing vector selection in an implantable cardiac device by assessing biphasic or monophasic characteristics of the cardiac signal in vectors under analysis. A factor associated with the biphasic or monophasic nature of the cardiac signal, as seen from a given sensing vector, can be inserted into the assessment of which of several available sensing vectors is considered 'best' for purposes of cardiac signal analysis. Additional factors may be considered beyond the biphasic or monophasic nature including the quantity of turning points or inflections and amplitude variability.

Cardiac signal vector selection with monophasic and biphasic shape consideration

Devices and methods for analyzing cardiac signal data. An illustrative method includes identifying a plurality of detected events and measuring intervals between the detected events for use in rate estimation. In the illustrative embodiment, a set of intervals is used to make the rate estimation by first discarding selected intervals from the set. The remaining intervals are then used to calculate an estimated interval, for example by averaging the remaining intervals.

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San Clemente, CA, United States of America

Mark Schroeder