图形用户界面
计算机科学
MATLAB语言
接口(物质)
软件
光学(聚焦)
QRS波群
信号(编程语言)
包络线(雷达)
用户界面
适应(眼睛)
灵敏度(控制系统)
数据挖掘
算法
模式识别(心理学)
人工智能
语音识别
程序设计语言
操作系统
电信
工程类
电子工程
最大气泡压力法
物理
气泡
心脏病学
医学
雷达
光学
作者
Jonathan Moeyersons,Matthew Amoni,Sabine Van Huffel,Rik Willems,Carolina Varon
摘要
Abstract 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. In this paper 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 PPV 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. The software is publicly available. Through its easy-to-use-graphical user interface, R-DECO allows both clinicians and researchers to use all functionalities, without previous knowledge.
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