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

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 an...

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Bibliographic Details
Main Authors: Galeano, M, Calisto, A, Bramanti, A, Serrano, S, Campobello, G, Azzerboni, B
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Approximation algorithms
Electrocardiography
Heart beat
Manuals
Noise
Online Access:Request full text
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Summary: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.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2010.5627258