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.
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