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Published: 1 January 2019| Version 1 | DOI: 10.17632/scjj4xngcf.1
Contributors:
Oleg Gradov,
Maksim Mamalyga

Description

Supplement for article: E. D. Adamovic, P. L. Aleksandrov, O. V. Gradov, L. M. Mamalyga, and M. L. Mamalyga. Correction of the recording artifacts and detection of the functional deviations in ECG by means of syndrome decoding with an automatic burst error correction of the cyclic codes using periodograms for determination of code component spectral range. Part III. It's the next article of the cycle: E. D. Adamoviс, P. L. Aleksandrov, O. V. Gradov, L. M. Mamalyga, and M. L. Mamalyga. Correction of the recording artifacts and detection of the functional deviations in ECG by means of syndrome decoding with an automatic burst error correction of the cyclic codes using periodograms for determination of the code component spectral range. I. Cardiometry, 6:65–76, 2015. E. D. Adamovic, P. L. Aleksandrov, O. V. Gradov, L. M. Mamalyga, and M. L. Mamalyga. Correction of the recording artifacts and detection of the functional deviations in ECG by means of syndrome decoding with an automatic burst error correction of the cyclic codes using periodograms for determination of code component spectral range. II. Cardiometry, 8:39–46, 2016.

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Steps to reproduce

Data processing using methods or approaches annotated in: E. D. Adamoviс, P. L. Aleksandrov, O. V. Gradov, L. M. Mamalyga, and M. L. Mamalyga. Correction of the recording artifacts and detection of the functional deviations in ECG by means of syndrome decoding with an automatic burst error correction of the cyclic codes using periodograms for determination of the code component spectral range. I. Cardiometry, 6:65–76, 2015. E. D. Adamovic, P. L. Aleksandrov, O. V. Gradov, L. M. Mamalyga, and M. L. Mamalyga. Correction of the recording artifacts and detection of the functional deviations in ECG by means of syndrome decoding with an automatic burst error correction of the cyclic codes using periodograms for determination of code component spectral range. II. Cardiometry, 8:39–46, 2016.

Categories

Electrophysiology, Big Data, Electrocardiography, Biological Database

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