EVALUATION OF ELECTROMYOGRAPHIC NOISE STATISTICAL CHARACTERISTICS IN MULTICHANNEL ECG RECORDINGS
https://doi.org/10.32603/1993-8985-2018-21-6-118-125
Abstract
Electromyographic noise is one of the most common noises in electrocardiogram. In case of several electrocardiogram leads, electromyographic noise affects each lead to different extent. It can be taken into account when developing algorithms for multilead electrocardiogram record processing. However, in the existing literature, there is no information about the relationship of electromyographic noise in various ECG leads and their joint probability distribution. The purpose of this paper is to study statistical characteristics of electromyographic noise in ECG signal, from which the electromyographic noise is extracted. The paper proposes a method for extracting electromyographic noise from electrocardiogram signal, based on a polynomial approximation of electrocardiogram signal fragments in sliding window with overlapping fragment subsequent weight averaging. Using this method, fragments of electromyographic noise are extracted from multichannel electrocardiogram records. Based on the obtained data, a joint probability distribution function of electromyographic noise in two adjacent leads is selected, and the correlation relationships between the electromyographic noise in various ECG leads are investigated. The results show that the joint probability distribution function of electromyographic noise in two adjacent leads in the first approximation can be described using bivariate normal distribution. In addition, between the samples of electromyographic noise from two adjacent leads quite strong correlation relationships can be observed.
About the Authors
Evgene B. Grigoriev
Saint Petersburg Electrotechnical University "LETI"
Russian Federation
Russian Federation
Evgene B. Grigoriev – Master’s Degree in Telecommunications (2014), Postgraduate Student of the Department of Radio System of Saint Petersburg Electrotechnical University "LETI". The author of 18 scientific publications. Area of expertise: statistical radio engineering; signal processing.
5, Professor Popov Str., 197376, St. Petersburg
Alexander S. Krasichkov
Saint Petersburg Electrotechnical University "LETI"
Russian Federation
Russian Federation
Alexander S. Krasichkov – Ph.D. in Engineering (2006), Associate Professor of the Department of Radio System of Saint Petersburg Electrotechnical University "LETI". The author of 90 scientific publications. Area of expertise: statistical radio engineering; signal processing.
5, Professor Popov Str., 197376, St. Petersburg
Evgeny M. Nifontov
Pavlov First Saint Petersburg State Medical University
Russian Federation
Russian Federation
Evgeny M. Nifontov – D.Sc. in Medicine (2003), Professor (2009) of Pavlov First Saint Petersburg State Medical University. The author of more than 150 scientific publications. Area of expertise: fundamental medicine; cardiology.
6-8, L'va Tolstogo Str., 197022, St. Petersburg
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Review
For citations:
Grigoriev E.B., Krasichkov A.S., Nifontov E.M. EVALUATION OF ELECTROMYOGRAPHIC NOISE STATISTICAL CHARACTERISTICS IN MULTICHANNEL ECG RECORDINGS. Journal of the Russian Universities. Radioelectronics. 2018;(6):118-125. (In Russ.) https://doi.org/10.32603/1993-8985-2018-21-6-118-125
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