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

Author

Listed:
  • Zalabarria, Unai
  • Irigoyen, Eloy
  • Martinez, Raquel
  • Lowe, Andrew

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.

Suggested Citation

  • Zalabarria, Unai & Irigoyen, Eloy & Martinez, Raquel & Lowe, Andrew, 2020. "Online robust R-peaks detection in noisy electrocardiograms using a novel iterative smart processing algorithm," Applied Mathematics and Computation, Elsevier, vol. 369(C).
    • Handle: RePEc:eee:apmaco:v:369:y:2020:i:c:s0096300319308318
    DOI: 10.1016/j.amc.2019.124839
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