<p>Anti-interference processing electrocardiosignals</p>

Eldos Altay; Dinara Shayakhmetkyzy

doi:10.7490/f1000research.1112763.1

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Altay E and Shayakhmetkyzy D. Anti-interference processing electrocardiosignals [version 1; not peer reviewed]. F1000Research 2016, 5:1891 (slides) (https://doi.org/10.7490/f1000research.1112763.1)

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Anti-interference processing electrocardiosignals

Eldos Altay¹, Dinara Shayakhmetkyzy

Published 30 Jul 2016 (https://doi.org/10.7490/f1000research.1112763.1)

Author Affiliations

¹ Kazakh National Research Technical University after K.I.Satpayev, Kazakhstan

Copyright © 2016 Altay E and Shayakhmetkyzy D. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 30 Jul 2016

Anti-interference processing electrocardiosignals
[version 1; not peer reviewed]

Eldos Altay¹, Dinara Shayakhmetkyzy

Author Affiliations

¹ Kazakh National Research Technical University after K.I.Satpayev, Kazakhstan

Presented at

IEEE International Symposium on Video and Audio Signal Processing in the Context of Neurotechnologies 2016

Abstract

Competing Interests

In recent decades, actively developing pre-treatment technology of biological signals, enabling the identification of the functional state of the organism (FSO) person at an early stage of the disease. Chance of a number of of deviations and borderline states, which do not appear in the form of contrasting characteristics. This may be different initial cardiac anomalies. In such cases, especially important methods to identify minor deviations from normal cardio.

Keywords

electrocardiosignals, block filter

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