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R-DECO:一个基于Matlab的用于检测和校正R波峰的开源图形用户界面。

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

作者信息

Moeyersons Jonathan, Amoni Matthew, Van Huffel Sabine, Willems Rik, Varon Carolina

机构信息

STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium.

Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.

出版信息

PeerJ Comput Sci. 2019 Oct 21;5:e226. doi: 10.7717/peerj-cs.226. eCollection 2019.

DOI:10.7717/peerj-cs.226
PMID:33816879
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7924703/
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.

摘要

许多现有的心电图(ECG)工具箱专注于从RR间期推导心率变异性特征。通过这样做,它们假定对QRS复合波的检测是正确的。然而,并非所有检测都很可能是正确的。因此,建议可视化ECG信号中实际的R波峰位置并允许手动调整。在本文中,我们展示了R-DECO,这是一个用于检测和校正R波峰的易于使用的图形用户界面(GUI)。在R-DECO中,通过使用基于包络的程序的检测算法来检测R波峰。该程序使ECG信号平坦化并增强QRS复合波。该算法在MIT/BIH心律失常数据库上获得了99.60%的总体灵敏度和99.69%的阳性预测值。此外,R-DECO支持多种ECG信号输入数据格式、三种基本滤波器、加载其他R波峰位置的可能性以及校正异位、错误或漏检心跳的直观方法。所有功能都可以通过GUI访问,分析结果可以导出为Matlab或Excel文件。该软件是公开可用的。通过其易于使用的GUI,R-DECO允许临床医生和研究人员在无需先验知识的情况下使用所有功能。

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