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

M Galeano; A Calisto; A Bramanti; S Serrano; G Campobello; B Azzerboni

doi:10.1109/IEMBS.2010.5627258

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

Annu Int Conf IEEE Eng Med Biol Soc. 2010:2010:638-41. doi: 10.1109/IEMBS.2010.5627258.

Authors

M Galeano¹, A Calisto, A Bramanti, S Serrano, G Campobello, B Azzerboni

Affiliation

¹ Department of Matter Physics and Electronic Engineering, University of Messina, Italy. mgaleano@ingegneria.unime.it

PMID: 21096543
DOI: 10.1109/IEMBS.2010.5627258

Abstract

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.

Publication types

Evaluation Study

MeSH terms

Algorithms*
Artifacts*
Artificial Intelligence
Diagnosis, Computer-Assisted / methods*
Electroencephalography / methods*
Epilepsy / diagnosis*
Humans
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*