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Cited by 193

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An approach to QRS complex detection using mathematical morphology

Trahanias, P.E.·1993·IEEE Transactions on Biomedical Engineering

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.

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Metadata

Authors
Trahanias, P. E.
Venue
IEEE Transactions on Biomedical Engineering
Published
1993
Volume
40
Issue
2
Pages
201-205
ISSN
0018-9294 (ISSN-L)
OpenAlex
W2124621676
Cited by
193
References
1
FWCI
0.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An approach to QRS complex detection using mathematical morphology. https://app.cochat.ai/papers/10.1109/10.212060
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Trahanias, P. E. (1993). An approach to QRS complex detection using mathematical morphology. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/10.212060

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.