Surgery – Diagnostic testing – Cardiovascular
Reexamination Certificate
2006-04-11
2006-04-11
Layno, Carl (Department: 3766)
Surgery
Diagnostic testing
Cardiovascular
C607S005000
Reexamination Certificate
active
07027858
ABSTRACT:
The present invention uses a R-wave sensing algorithm that uniquely combines an automatic threshold adjustment method with a new noise rejection technique. This algorithm has significant advantages in avoiding the sensing of T-waves, P-waves, and noise/artifacts. Detecting the presence of noise bursts uses features that determine if an R-R interval adjacent to or within the noise signal is valid. Circuitry that discriminates noise signals from R-waves can use any one of several features including, but not limited to, the following: detection events occurring so close together that they are outside normal physiologic heart rates; frequency content that is wider than that of QRS complexes; amplitudes that are different than the adjacent or encompassing R-waves; and amplitudes that display greater than normal variability. The present invention employs multiple discrete thresholds optionally with different decay constants, alone or in combination with one or more substantially constant magnitude sensing threshold.
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Draft Abstract to be submitted to XII World Congress on Cardiac Pacing and Electrophysiology (Hong Kong, Feb. 19-22, 2003).
Brian Lee B.
Cao Jian
Hurd Spencer R.
Kane Michael R.
Heller Tammie K.
Layno Carl
McDowall Paul H.
Medtronic Inc.
Wolde-Michael Girma
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