Two-stage motion artefact reduction algorithm for electrocardiogram using weighted adaptive noise cancelling and recursive Hampel filter.
Two-stage motion artefact reduction algorithm for electrocardiogram using weighted adaptive noise cancelling and recursive Hampel filter.
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DOI：
10.1371/journal.pone.0207176
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发表时间：
2018
期刊：
影响因子：
3.7
通讯作者：
Abd Razak S
中科院分区：
文献类型：
--
作者：
Ghaleb FA;Kamat MB;Salleh M;Rohani MF;Abd Razak S
心电图信号中运动伪影的存在可能会导致对心血管状态的误导性解释。最近，减少心电图信号中的运动伪影引起了许多研究人员的兴趣。由于运动伪影与ECG信号的重叠性质，很难在不扭曲原始ECG信号的情况下减少运动伪影。然而，自适应噪声消除器的应用表明，如果与 ECG 信号中的噪声相关的适当噪声参考可用，则它可以有效地减少运动伪影。不幸的是，噪声参考并不总是与运动伪影相关。因此，使用此类噪声参考进行过滤可能会导致 ECG 信号受到污染。本文提出了一种两级滤波运动伪影减少算法。在该算法中，提出了两种方法，每种方法都在一个阶段中工作。第一阶段提出了加权自适应噪声过滤方法（WAF）。加速度导数用作运动伪影参考，加速度和心电图信号之间的皮尔逊相关系数用作加权因子。在第二阶段，基于从连续ECG信号获得的ECG片段分量的空间相关性，提出了一种基于递归Hampel滤波器的估计方法（RHFBE）来估计ECG信号片段。真实世界数据集用于评估所提出的方法与传统自适应滤波器相比的有效性。结果表明，在减少不同受试者的多项活动期间经济高效的单导联心电图传感器记录的心电图信号中的运动伪影方面，有希望的增强。
The presence of motion artefacts in ECG signals can cause misleading interpretation of cardiovascular status. Recently, reducing the motion artefact from ECG signal has gained the interest of many researchers. Due to the overlapping nature of the motion artefact with the ECG signal, it is difficult to reduce motion artefact without distorting the original ECG signal. However, the application of an adaptive noise canceler has shown that it is effective in reducing motion artefacts if the appropriate noise reference that is correlated with the noise in the ECG signal is available. Unfortunately, the noise reference is not always correlated with motion artefact. Consequently, filtering with such a noise reference may lead to contaminating the ECG signal. In this paper, a two-stage filtering motion artefact reduction algorithm is proposed. In the algorithm, two methods are proposed, each of which works in one stage. The weighted adaptive noise filtering method (WAF) is proposed for the first stage. The acceleration derivative is used as motion artefact reference and the Pearson correlation coefficient between acceleration and ECG signal is used as a weighting factor. In the second stage, a recursive Hampel filter-based estimation method (RHFBE) is proposed for estimating the ECG signal segments, based on the spatial correlation of the ECG segment component that is obtained from successive ECG signals. Real-World dataset is used to evaluate the effectiveness of the proposed methods compared to the conventional adaptive filter. The results show a promising enhancement in terms of reducing motion artefacts from the ECG signals recorded by a cost-effective single lead ECG sensor during several activities of different subjects.
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影响因子：
3.9
作者：
Banos O;Villalonga C;Garcia R;Saez A;Damas M;Holgado-Terriza JA;Lee S;Pomares H;Rojas I
通讯作者：
Rojas I
影响因子：
3.7
作者：
Lanata A;Guidi A;Baragli P;Valenza G;Scilingo EP
通讯作者：
Scilingo EP
影响因子：
4.3
作者：
Liu, HC;Shah, S;Jiang, W
通讯作者：
Jiang, W
影响因子：
4.6
作者：
FRIESEN, GM;JANNETT, TC;NAGLE, HT
通讯作者：
NAGLE, HT
DOI：
10.1007/s11265-009-0447-z
发表时间：
2011-08-01
影响因子：
1.8
作者：
Chang, Kang-Ming;Liu, Shing-Hong
通讯作者：
Liu, Shing-Hong