Literature DB >> 33816879

R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks.

Jonathan Moeyersons1, Matthew Amoni2,3, Sabine Van Huffel1, Rik Willems2,3, Carolina Varon1.   

Abstract

Many of the existing electrocardiogram (ECG) toolboxes focus on the derivation of heart rate variability features from RR-intervals. By doing so, they assume correct detection of the QRS-complexes. However, it is highly likely that not all detections are correct. Therefore, it is recommended to visualize the actual R-peak positions in the ECG signal and allow manual adaptations. In this paper we present R-DECO, an easy-to-use graphical user interface (GUI) for the detection and correction of R-peaks. Within R-DECO, the R-peaks are detected by using a detection algorithm which uses an envelope-based procedure. This procedure flattens the ECG and enhances the QRS-complexes. The algorithm obtained an overall sensitivity of 99.60% and positive predictive value of 99.69% on the MIT/BIH arrhythmia database. Additionally, R-DECO includes support for several input data formats for ECG signals, three basic filters, the possibility to load other R-peak locations and intuitive methods to correct ectopic, wrong, or missed heartbeats. All functionalities can be accessed via the GUI and the analysis results can be exported as Matlab or Excel files. The software is publicly available. Through its easy-to-use GUI, R-DECO allows both clinicians and researchers to use all functionalities, without previous knowledge.
© 2019 Moeyersons et al.

Entities:  

Keywords:  Analysis software; R-peak correction; R-peak detection; User interface

Year:  2019        PMID: 33816879      PMCID: PMC7924703          DOI: 10.7717/peerj-cs.226

Source DB:  PubMed          Journal:  PeerJ Comput Sci        ISSN: 2376-5992


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Journal:  J Open Source Softw       Date:  2018
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