Skip to Main content Skip to Navigation
Conference papers

An algorithm for QRS onset and offset detection in single lead electrocardiogram records

Abstract : In this paper a new algorithm is proposed for QRS onset and offset detection in single lead electrocardiogram (ECG) records. In a first step, the R peak is detected in order to use it as reference to roughly limit the research of the QRS onset and offset. Then, an auxiliary signal is defined from the envelope of the ECG signal. Finally, a statistical hypothesis testing 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 and 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.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-00854794
Contributor : Qinghua Zhang <>
Submitted on : Wednesday, August 28, 2013 - 10:48:20 AM
Last modification on : Friday, May 25, 2018 - 12:02:05 PM

Identifiers

Collections

Citation

Alfredo Illanes Manriquez, Qinghua Zhang. An algorithm for QRS onset and offset detection in single lead electrocardiogram records. EMBS 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2007, Lyon, France. pp.541-544, ⟨10.1109/IEMBS.2007.4352347⟩. ⟨hal-00854794⟩

Share

Metrics

Record views

217