Isoline Drift Correction in Digital Processing of the Electrocardiosignal


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Abstract

The article discusses reduction of electrocardiosignal (ECS) drift based on statistical signal processing, comparing the results of applying statistical methods to a limited time frame for correction of isoline drift based on the additive mixture of drift and ECS components. A mathematical regression formula is provided to approximate a ranged sample of values of one ECS cycle. The study presents an effective method of eliminating monotonous isoline drift, allowing the use of programs for fast data sorting.

About the authors

V. G. Polosin

Penza State University

Email: bodin_o@inbox.ru
Russian Federation, Penza

O. N. Bodin

Penza State University

Author for correspondence.
Email: bodin_o@inbox.ru
Russian Federation, Penza

A. G. Ivanchukov

Penza State University

Email: bodin_o@inbox.ru
Russian Federation, Penza

F. K. Rahmatullov

Penza State University

Email: bodin_o@inbox.ru
Russian Federation, Penza

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