DocumentCode
674505
Title
Detection of P wave in electrocardiogram
Author
Gonzalez-Fernandez, Rene ; Rivero-Varona, Martha ; Montes de Oca-Colina, Gisela
Author_Institution
Central Inst. of Digital Res., Havana, Cuba
fYear
2013
fDate
22-25 Sept. 2013
Firstpage
515
Lastpage
518
Abstract
The aim of this paper is to discuss a new algorithm to detect P wave in the resting electrocardiogram (ECG). The independent ECG leads were acquired simultaneously; the sampling rate was 500 Hz. A moving average bandpass filter and a notch filter were applied to the ECG. All the QRS-T complexes were detected and removed from de original signal. A new lead was constructed as the sum of the independent lead, sample by sample. The Teager Energy Operator was applied to the new constructed lead to get an auxiliary function where high energy zones were emphasized. A threshold was computed, based on the maximum value of the auxiliary function, to identify atrial activity. When this activity was detected, the onset and offset of the atrial wave were identified in the original leads using slope criterion. The proposed algorithm was tested with 300 ECGs from adults patients; the sensitivity for P wave detection reached 96,47 %; false positive were not produce.
Keywords
band-pass filters; electrocardiography; medical signal detection; moving average processes; notch filters; signal sampling; ECG sensitivity; P wave detection; QRS-T complex detection; QRS-T complex removal; Teager Energy Operator; atrial activity; atrial wave offset; atrial wave onset; auxiliary function; false positive data; frequency 500 Hz; high energy zones; independent ECG leads; independent lead sum; moving average bandpass filter; notch filter; original leads; original signal; resting electrocardiogram; sample by sample; sampling rate; slope criterion; Abstracts; Electrocardiography; Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2013
Conference_Location
Zaragoza
ISSN
2325-8861
Print_ISBN
978-1-4799-0884-4
Type
conf
Filename
6713427
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