Title :
A method of QRS complex detection using multi-scale mathematical morphology
Author :
Andrade Saraiva, Arata ; Tacara, Silvio ; Koslowski, Mikhail Anatholy ; Benvenutti Borba, Gustavo ; Sovierzoski, Miguel Antonio
Author_Institution :
PPGEB-UTFPR, Curitiba, Brazil
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.
Keywords :
electrocardiography; mathematical morphology; medical signal detection; medical signal processing; sensitivity analysis; MIT-BIH database; QRS complex detection method; ROC curve; electrocardiographic signal; four stage multiscale mathematical morphology; with three stage multiscale morphology; QRS complex detection; mathematical morphology; multi-scale mathematical morphology; signal filtering with mathematical morphology;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-1183-0
DOI :
10.1109/BMEI.2012.6513009
