A Stochastic Resonance Electrocardiogram Enhancement Algorithm for Robust QRS Detection
A Stochastic Resonance Electrocardiogram Enhancement Algorithm for Robust QRS Detection
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DOI：
10.1109/jbhi.2022.3178109
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发表时间：
2022-08-01
影响因子：
7.7
通讯作者：
Toreyin, Hakan
中科院分区：
文献类型：
--
作者：
Gungor, Cihan Berk;Mercier, Patrick P.;Toreyin, Hakan
本研究提出了一种新的QRS波检测算法，利用背景噪声是不可避免地存在于心电图（ECG）记录。该算法抑制噪声，增强QRS波，并应用阈值检测QRS波。噪声抑制和QRS波群增强是由一个带通滤波器阶段，其次是一个非线性阶段的基础上的相互作用的一个欠阻尼单稳态势阱内的粒子。当存在QRS波时，非线性级最大化输出，否则最小化输出。非线性阶段用于增强QRS波的仪器之一是随机共振，其中输出对于非零强度背景噪声最大化。在QRS波检测F1评分方面，该算法在四个主要基准数据库（MIT-BIH心律失常、QT、欧洲ST-T和MIT-BIH噪声应力测试）上的范围为98.87%至99.99%，优于所有现有的ECG处理算法。该研究首次证明了通过促进随机共振同时抑制ECG信号的带内噪声来增强QRS。检测QRS波作为ECG数据流，具有O（n）的复杂度，并且不需要任何训练数据，使得该算法便于具有有限计算资源的实时ECG监测应用。
This study presents a new QRS detection algorithm making use of the background noise that is inevitably present in electrocardiogram (ECG) recordings. The algorithm suppresses noise, enhances the QRS-waves, and applies a threshold for QRS detection. Noise suppression and QRS enhancement are performed by a band-pass filter stage followed by a nonlinear stage based on the interaction of a particle inside an underdamped monostable potential well. The nonlinear stage maximizes the output when there is a QRS-wave and minimizes the output otherwise. One of the instruments that the nonlinear stage uses to enhance the QRS-waves is stochastic resonance, where the output is maximized for a non-zero intensity background noise. In terms of QRS-wave detection F1 score, which ranges from 98.87% to 99.99% on four major benchmarking databases (MIT-BIH Arrhythmia, QT, European ST-T, and MIT-BIH Noise Stress Test), the algorithm outperforms all existing ECG processing algorithms. The study, for the first time, demonstrates QRS-enhancement by facilitating stochastic resonance while suppressing in-band noise of ECG signals. Detecting QRS-waves as the ECG data streams, having a complexity of O(n), and not requiring any training data make the algorithm convenient for real-time ECG monitoring applications with limited computational resources.