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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of electrocardiology Ročník 25 Suppl; s. 207
Hlavní autoři: Clarkson, P M, Fan, Q, Williamson, G A, Arzbaecher, R
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 1992
Témata:
Algorithms
Defibrillators, Implantable
Humans
Mathematics
Tachycardia - diagnosis
ISSN:0022-0736
On-line přístup:Zjistit podrobnosti o přístupu
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0022-0736
DOI:10.1016/0022-0736(92)90103-7