Denoising and Baseline Correction of ECG Signals using Sparse Representation
Zhou, Yichao1; Hu, Xiyuan2; Tang, Zhenmin1; Ahn, Andrew C.3
2015-10
会议名称IEEE workshop on Signal Processing System
会议日期2015-10
会议地点Hangzhou, China
摘要Removing noise and other artifacts in the electrocardiogram (ECG) is a critical preprocessing step for further heart disease analysis and diagnosis. In this paper, we propose a sparse representation based ECG signal denoising and baseline wandering (BW) correction algorithm. Unlike the traditional filtering-based methods, like Fourier orWavelet transform, which use fixed basis, the proposed algorithm models the ECG signal as superposition of few inner structures plus additive random noise, while those structures can be learned from the input signal or a training set. Using those learned inner structures and their properties, we can accurately approximate the original ECG signal and remove noise and other artifacts like baseline wandering. To demonstrate the robustness and efficacy of the proposed algorithm, we compare it to several state-of-the-art algorithms through both simulated and real-life ECG recordings.
关键词Sparse Representation Adaptive Signal Separation Ecg Denoising Baseline Wandering Correction
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/19684
专题智能制造技术与系统研究中心_多维数据分析
通讯作者Ahn, Andrew C.
作者单位1.School of Computer Science, Nanjing University of Science and Technology
2.Institute of Automation, Chinese Academy of Sciences
3.BIDMC, MGH, Harvard Medical School
推荐引用方式
GB/T 7714
Zhou, Yichao,Hu, Xiyuan,Tang, Zhenmin,et al. Denoising and Baseline Correction of ECG Signals using Sparse Representation[C],2015.
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