DocumentCode :
1820700
Title :
An algorithm for QRS onset and offset detection in single lead electrocardiogram records
Author :
Manriquez, A.I. ; Qinghua Zhang
Author_Institution :
IRISA-INRIA, Rennes
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
541
Lastpage :
544
Abstract :
In this paper a new algorithm is proposed for QRS onset and offset detection in single lead electrocardiogram (ECG) records. In each cardiac cycle, the R peak is first detected to serve as a reference to delimit the search windows for the QRS onset and offset. Then, an auxiliary signal is defined from the envelope of the ECG signal. Finally, a statistical hypothesis test is applied to the auxiliary signal in order to detect mean changes. The performances of the algorithm have been evaluated using the PhysioNet QT database. The mean and standard deviation of the differences between onsets or offsets manually marked by cardiologists and those detected by the proposed algorithm are computed. The standard deviations obtained in this work are around the tolerances accepted by expert physicians, and slightly outperform the results obtained by the other known algorithms evaluated with the same database.
Keywords :
bioelectric phenomena; electrocardiography; medical signal processing; ECG signal; PhysioNet QT database; QRS offset detection; QRS onset detection; cardiac cycle; electrocardiogram records; Cardiac disease; Cardiology; Databases; Detection algorithms; Electric variables measurement; Electrocardiography; Performance evaluation; Signal design; Signal processing algorithms; Testing; Algorithms; Animals; Automatic Data Processing; Databases, Factual; Electrocardiography; Humans; Myocardial Contraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4352347
Filename :
4352347
Link To Document :
بازگشت