QRS detection based on matching pursuit algorithm

Author

Shamekhi, Sina ; Sedaaghi, Mohammad Hossein

Author_Institution

Electr. Eng. Fac., Sahand Univ. of Technol., Tabriz, Iran

fYear

2010

fDate

3-4 Nov. 2010

Firstpage

1

Lastpage

4

Abstract

The QRS complex is the most significant feature of the electrocardiogram (ECG). This paper introduces a novel algorithm for detection of QRS complexes in ECG based on matching pursuit algorithm (MPA). To recognize QRS Complex regions, time-frequency map of the ECG signal is plotted. Then the correct QRS regions are detected using the map. The performance of the algorithm is evaluated on ECG signals recorded in Bioinstruments Lab at Sahand University of Technology. The results indicate that the proposed method achieves 99.92% of sensitivity and 99.85% of specificity. The percentage of detected error rate is 0.223%. The efficiency of the algorithm in the presence of noise and corruption in ECG is also investigated.

Keywords

electrocardiography; error analysis; medical signal detection; medical signal processing; time-frequency analysis; ECG signal; QRS complex; QRS detection algorithm; electrocardiogram; error rate; matching pursuit algorithm; noise; time-frequency map; QRS complex; R-wave Detection; matching pursuit;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering (ICBME), 2010 17th Iranian Conference of

Conference_Location

Isfahan

Print_ISBN

978-1-4244-7483-7

Type

conf

DOI

10.1109/ICBME.2010.5704914

Filename

5704914