A method of QRS complex detection using multi-scale mathematical morphology

The present work is aiming to show the detection of QRS complex from the electrocardiographic signal, having the four stage multi-scale mathematical morphology (4M) as its main method. The model presented is evaluated by a file from the MIT/BIH database and compared with three stage multi-scale morp...

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Published in2012 5th International Conference on Biomedical Engineering and Informatics pp. 936 - 940
Main Authors Saraiva, Arata Andrade, Tacara, Silvio, Koslowski, Mikhail Anatholy, Borba, Gustavo Benvenutti, Sovierzoski, Miguel Antonio
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Electric potential
Electrocardiography
Electrodes
Filtering
Finite impulse response filters
Instruments
mathematical morphology
Morphology
multi-scale mathematical morphology
Muscles
Noise
QRS complex detection
Shape
signal filtering with mathematical morphology
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ISBN9781467311830
1467311839
DOI10.1109/BMEI.2012.6513009

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Abstract The present work is aiming to show the detection of QRS complex from the electrocardiographic signal, having the four stage multi-scale mathematical morphology (4M) as its main method. The model presented is evaluated by a file from the MIT/BIH database and compared with three stage multi-scale morphology (3M). The performance of both methods is shown by the ROC curve, ending the work with a discussion of the methods.
AbstractList The present work is aiming to show the detection of QRS complex from the electrocardiographic signal, having the four stage multi-scale mathematical morphology (4M) as its main method. The model presented is evaluated by a file from the MIT/BIH database and compared with three stage multi-scale morphology (3M). The performance of both methods is shown by the ROC curve, ending the work with a discussion of the methods.
Author Saraiva, Arata Andrade
Borba, Gustavo Benvenutti
Koslowski, Mikhail Anatholy
Sovierzoski, Miguel Antonio
Tacara, Silvio
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Snippet The present work is aiming to show the detection of QRS complex from the electrocardiographic signal, having the four stage multi-scale mathematical morphology...
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SubjectTerms Electric potential
Electrocardiography
Electrodes
Filtering
Finite impulse response filters
Instruments
mathematical morphology
Morphology
multi-scale mathematical morphology
Muscles
Noise
QRS complex detection
Shape
signal filtering with mathematical morphology
Title A method of QRS complex detection using multi-scale mathematical morphology
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