QRS Complex Detection Based on Primitive

다국어 초록 (Multilingual Abstract)

The detection of the QRS complex is one of the mostimportant issues in electrocardiogram (ECG) signal analysis. Althoughresearch on the detection of the R-peak has demonstrated ahigh detection rate through a diverse number of studies, researchon the detection of the onset and offset boundaries of the QRS complexhas proven to be difficult, as the locations of these endpointsare often unclear, and the detection results are difficult to interpret.
Hence, detection research through improved algorithms continuesto be an important component of the ECG signal analysis, especiallygiven the importance of the QRS complexs role in the diagnosisof arrhythmia through measuring the length of the onset andoffset of the QRS complex. This paper proposes an improved algorithmthat focuses on the primitive of the QRS complex for detectingthe onset and offset of the complex based on the morphologicalcharacteristics of the QRS complex. The proposed algorithm wastested through experiments based on QT database (QT-DB) dataprovided by Physionet, and the outcome revealed not only the reliabledetection of the QRS complex boundaries but also results thatwere superior to the location information recorded in the QT-DB.

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