R-point detection for noise affected ECG recording through signal segmentation

  title={R-point detection for noise affected ECG recording through signal segmentation},
  author={Massimiliano Galeano and Andrea Calisto and A. Bramanti and Salvatore Serrano and Giuseppe Campobello and Bruno Azzerboni},
  journal={2010 Annual International Conference of the IEEE Engineering in Medicine and Biology},
In this work we propose a novel approach for filtering noise-affected electrocardiogram (ECG) signals. The proposed method, mainly based on signal approximation by means of linear segments, has been applied for R-peaks recognition and has been compared with both cardiologists' manual marking and the automatic Laguna's method. The obtained results show that when compared to the Laguna's method the proposed algorithm provides a smaller mean error and a better error distribution. 

From This Paper

Figures, tables, and topics from this paper.
2 Citations
18 References
Similar Papers


Publications citing this paper.
Showing 1-2 of 2 extracted citations


Publications referenced by this paper.
Showing 1-10 of 18 references

Automatic detection of wave boundaries in multilead ECG signals: validation with the CSE database

  • P. Laguna, R. Jan, P. Caminal
  • Computers and biomedical research,
  • 1994
Highly Influential
10 Excerpts

Nested median filtering for detecting T-wave offset in ECGs

  • P. Strumillo
  • Electron. Lett., vol.38,
  • 2002
1 Excerpt

A new approach fot TU complex characterization

  • J. A. Vila, J.M.R. Yi Gang Presedo, M. Fernandez-Delgado, S. Barro, M. Malik
  • IEEE Trans. on Biomed. Eng.,
  • 2000
1 Excerpt

Similar Papers

Loading similar papers…