Online robust R-peaks detection in noisy electrocardiograms using a novel iterative smart processing algorithm

Unai Zalabarria, Eloy Irigoyen, Raquel Martinez and Andrew Lowe

Applied Mathematics and Computation, 2020, vol. 369, issue C

Abstract: Nowadays, many contributions deal with R-peak detection in Electrocardiographic (ECG) signals. Although they present an accurate performance in detection, most of these are presented as offline solutions, both to be processed in high performance platforms (under a big cost), or to be analyzed in laboratories without constraints in time, neither in computational load. Owing to this, it is also very important to take one step further, trying to develop new solutions which work in portable/wearable low-cost platforms, with constraints in time and in computational load.

Keywords: Electrocardiogram; ECG processing; R-peak detection; Filtering; Smart computing; State machine (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:369:y:2020:i:c:s0096300319308318

DOI: 10.1016/j.amc.2019.124839

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