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Detecting R-Peaks in Electrocardiogram Signal Using Hilbert Envelope

  • Y. Madhu Keerthana
  • M. Kiran Reddy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 748)

Abstract

In this paper, the unipolar property of the Hilbert envelope is exploited for detecting R-peaks in electrocardiogram (ECG) signals. In the proposed method, first, the ECG signals are bandpass filtered to reduce various kinds of noises. Then, the Hilbert envelope of the bandpass filtered ECG signals is used to estimate the approximate locations of R-peaks. These locations are further processed to determine the correct R-peaks in the ECG signal. The performance of the proposed method is evaluated using 30 ECG records from the MIT-BIH arrhythmia database. Evaluation results show that the proposed method has a very less detection error rate of 0.31% with a high sensitivity and positive predictivity of 99.83 and 99.86%, respectively. Furthermore, the results indicated that the performance of the proposed method is much better compared to other well-known methods in the presence of noise/artifacts, low-amplitude, and negative QRS complexes.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Engineering and TechnologyTirupatiIndia
  2. 2.Department of Computer Science and EngineeringIndian Institute of Technology KharagpurKharagpurIndia

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