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

Author

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

Author_Institution

Dept. of Matter Phys. & Electron. Eng., Univ. of Messina, Messina, Italy

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

638

Lastpage

641

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.

Keywords

electrocardiography; medical signal processing; R-peaks recognition; R-point detection; automatic Laguna´s method; cardiology; electrocardiogram; error distribution; mean error; noise affected ECG recording; noise filtering; signal segmentation; Algorithm design and analysis; Approximation algorithms; Databases; Electrocardiography; Heart beat; Manuals; Noise; Algorithms; Artifacts; Artificial Intelligence; Diagnosis, Computer-Assisted; Electroencephalography; Epilepsy; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5627258

Filename

5627258