Literature DB >> 8319971

An approach to QRS complex detection using mathematical morphology.

P E Trahanias1.   

Abstract

An approach to QRS complex detection based on mathematical morphology is presented in this communication. QRS complexes are detected by the application of a simple morphological operator. This operator works as a peak-valley extractor and it is controlled by the shape of the structuring element. A set (horizontal line segment) is used as structuring element resulting in very fast execution times. The accuracy of this approach has been tested using a standard ECG library; a sensitivity of 99.38% and a positive predictivity of 99.48% have been achieved.

Mesh:

Year:  1993        PMID: 8319971     DOI: 10.1109/10.212060

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  11 in total

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9.  Ventricular beat detection in single channel electrocardiograms.

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10.  Automatic QRS complex detection using two-level convolutional neural network.

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Journal:  Biomed Eng Online       Date:  2018-01-29       Impact factor: 2.819

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