Noise and baseline wandering suppression of ECG signals by morphological filter.
Identifieur interne : 000096 ( Main/Exploration ); précédent : 000095; suivant : 000097Noise and baseline wandering suppression of ECG signals by morphological filter.
Auteurs : S A Taouli [Algérie] ; F. Bereksi-ReguigSource :
- Journal of medical engineering & technology [ 1464-522X ] ; 2010.
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Abstract
Electrocardiogram (ECG) signals describe the electrical activity of the heart, and are universally by physicists in the diagnosis of cardiac pathologies. However, during the acquisition of ECGs they are often contaminated with different sources of noise, making interpretation difficult. Different techniques have been used to filter the ECG signal, in order to optimize the signal to noise ratio (S/N). In this paper, an approach based on morphological filtering is developed in order to filter the ECG. Morphological filtering is concerned with the detection of the ECG morphology, therefore allowing the suppression of noises and particularly baseline wandering. The implemented filter is evaluated using signals taken from the MIT-BIH ECG universal database. The results show that the performance of this filter is good compared with other filtering techniques.
DOI: 10.3109/03091900903336886
PubMed: 20028196
Affiliations:
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Bereksi-Reguig</name></author></analytic><series><title level="j">Journal of medical engineering & technology</title><idno type="eISSN">1464-522X</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms (MeSH)</term><term>Electrocardiography (methods)</term><term>Humans (MeSH)</term><term>Models, Theoretical (MeSH)</term><term>Signal Processing, Computer-Assisted (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes (MeSH)</term><term>Humains (MeSH)</term><term>Modèles théoriques (MeSH)</term><term>Traitement du signal assisté par ordinateur (MeSH)</term><term>Électrocardiographie (méthodes)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Electrocardiography</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Électrocardiographie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Humans</term><term>Models, Theoretical</term><term>Signal Processing, Computer-Assisted</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Humains</term><term>Modèles théoriques</term><term>Traitement du signal assisté par ordinateur</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Electrocardiogram (ECG) signals describe the electrical activity of the heart, and are universally by physicists in the diagnosis of cardiac pathologies. However, during the acquisition of ECGs they are often contaminated with different sources of noise, making interpretation difficult. Different techniques have been used to filter the ECG signal, in order to optimize the signal to noise ratio (S/N). In this paper, an approach based on morphological filtering is developed in order to filter the ECG. Morphological filtering is concerned with the detection of the ECG morphology, therefore allowing the suppression of noises and particularly baseline wandering. The implemented filter is evaluated using signals taken from the MIT-BIH ECG universal database. The results show that the performance of this filter is good compared with other filtering techniques.</div></front></TEI><affiliations><list><country><li>Algérie</li></country></list><tree><noCountry><name sortKey="Bereksi Reguig, F" sort="Bereksi Reguig, F" uniqKey="Bereksi Reguig F" first="F" last="Bereksi-Reguig">F. Bereksi-Reguig</name></noCountry><country name="Algérie"><noRegion><name sortKey="Taouli, S A" sort="Taouli, S A" uniqKey="Taouli S" first="S A" last="Taouli">S A Taouli</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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