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ECG R-wave peaks marking with simultaneously recorded continuous blood pressure

Author

Listed:
  • Qiong Yu
  • Aili Liu
  • Tiebing Liu
  • Yuwei Mao
  • Wei Chen
  • Hongxing Liu

Abstract

Background and objectives: ECG signal is relatively weak and vulnerable to various noise interferences, such as electromyography. There will be robustness problems when detecting the instantaneous heart rate independently. In some cases, multiple human physiologic parameters are monitored to help in heart rate detection. Methods: In this paper, an algorithm that marks the R-wave peaks with the help of simultaneously recorded continuous blood pressure is proposed and tested on two databases. One database, called the challenge database, is provided by the PhysioNet/Computing in Cardiology Challenge 2014, and the other is the MGH/MF waveform database. Results: The final scores of the proposed algorithm are 97.3% for the challenge database and 96.6% for the MGH/MF waveform database. Conclusions: The experimental results show that this algorithm has high detection accuracy and a relatively strong robustness.

Suggested Citation

  • Qiong Yu & Aili Liu & Tiebing Liu & Yuwei Mao & Wei Chen & Hongxing Liu, 2019. "ECG R-wave peaks marking with simultaneously recorded continuous blood pressure," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.
    • Handle: RePEc:plo:pone00:0214443
    DOI: 10.1371/journal.pone.0214443
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    Cited by:

    1. Varun Gupta & Nitin Kumar Saxena & Abhas Kanungo & Parvin Kumar & Sourav Diwania, 2022. "PCA as an effective tool for the detection of R-peaks in an ECG signal processing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2391-2403, October.

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