Robust adaptive parameter estimators in arrhythmia detection

The authors consider the statistical analysis of threshold crossing intervals, as applied to estimation of tachycardia rates from intracavitary electrograms. The authors developed a class of robust algorithms designed to produce minimum variance estimates for tachycardia rates. The authors formulate...

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Bibliographic Details
Published in:Journal of electrocardiology Vol. 25 Suppl; p. 207
Main Authors: Clarkson, P M, Fan, Q, Williamson, G A, Arzbaecher, R
Format: Journal Article
Language:English
Published: United States 1992
Subjects:
Algorithms
Defibrillators, Implantable
Humans
Mathematics
Tachycardia - diagnosis
ISSN:0022-0736
Online Access:Get more information
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Summary:The authors consider the statistical analysis of threshold crossing intervals, as applied to estimation of tachycardia rates from intracavitary electrograms. The authors developed a class of robust algorithms designed to produce minimum variance estimates for tachycardia rates. The authors formulated the algorithms using order statistic filters, and obtained the minimum variance unbiased order statistic estimator. The potential gain in efficiency achieved by this approach is demonstrated via a representative example. The results indicated that the order statistics operator can produce dramatic reductions for typical errors in error variance as compared to linear estimators.
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ISSN:0022-0736
DOI:10.1016/0022-0736(92)90103-7