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

Description

Many of the existing 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. As a solution, we present R-DECO, an easy-to-use graphical user interface for the detection and correction of R-peaks. Within R-DECO, the R-peaks are detected by an adaptation of the Pan-Tompkins algorithm. Instead of using all the pre-processing steps of the latter algorithm, the proposed algorithm uses only an envelope-based procedure to flatten the ECG and enhance 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 graphical user interface and the analysis results can be exported as Matlab or Excel files. Through its easy-to-use-graphical user interface, R-DECO allows both clinicians and researchers to use all functionalities, without previous knowledge. R-DECO has been developed on Windows 10 using Matlab 2018a. GUIDE, MATLAB’s GUI development environment, was used to design the GUI of R-DECO. It has been tested and proven to be functional for older Matlab versions going back to Matlab 2016a.

Update Frequency

Not updated

License

GNU General Public License version 3

Documentation

https://doi.org/10.13026/x6j7-sp58

Managed By

PhysioNet

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Contact

https://physionet.org/about/#contact_us

How to Cite

R-DECO: An open-source Matlab based graphical user interface for the detection and correction of R-peaks was accessed on DATE from https://registry.opendata.aws/r-deco.