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A stacked contractive denoising auto-encoder for ECG signal denoising
Xiong, Peng1; Wang, Hongrui1,2; Liu, Ming2; Lin, Feng3; Hou, Zengguang4; Liu, Xiuling2
AbstractAs a primary diagnostic tool for cardiac diseases, electrocardiogram ( ECG) signals are often contaminated by various kinds of noise, such as baseline wander, electrode contact noise and motion artifacts. In this paper, we propose a contractive denoising technique to improve the performance of current denoising auto-encoders (DAEs) for ECG signal denoising. Based on the Frobenius norm of the Jacobean matrix for the learned features with respect to the input, we develop a stacked contractive denoising auto-encoder (CDAE) to build a deep neural network (DNN) for noise reduction, which can significantly improve the expression of ECG signals through multi-level feature extraction. The proposed method is evaluated on ECG signals from the bench-marker MIT-BIH Arrhythmia Database, and the noises come from the MIT-BIH noise stress test database. The experimental results show that the new CDAE algorithm performs better than the conventional ECG denoising method, specifically with more than 2.40 dB improvement in the signal-to-noise ratio (SNR) and nearly 0.075 to 0.350 improvements in the root mean square error (RMSE).
KeywordElectrocardiogram (Ecg) Denoising Auto-encoder (Dae) Baseline Wander Motion Artifacts Electrode Contact Noise
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
Indexed BySCI
Funding OrganizationNational Natural Science Foundation of China(61473112) ; Foundation for Distinguished Young Scholars of Hebei Province(F2016201186) ; Natural Science Foundation of Hebei Province(F2015201112) ; Science and Technology Research Project for Universities and Colleges in Hebei Province(ZD2015067)
WOS Research AreaBiophysics ; Engineering ; Physiology
WOS SubjectBiophysics ; Engineering, Biomedical ; Physiology
WOS IDWOS:000389324000003
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Yanshan Univ, Coll Elect & Informat Engn, Qinhuangdao, Peoples R China
2.Hebei Univ, Key Lab Digital Med Engn Hebei Prov, Coll Elect & Informat Engn, Baoding, Peoples R China
3.Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore
4.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Xiong, Peng,Wang, Hongrui,Liu, Ming,et al. A stacked contractive denoising auto-encoder for ECG signal denoising[J]. PHYSIOLOGICAL MEASUREMENT,2016,37(12):2214-2230.
APA Xiong, Peng,Wang, Hongrui,Liu, Ming,Lin, Feng,Hou, Zengguang,&Liu, Xiuling.(2016).A stacked contractive denoising auto-encoder for ECG signal denoising.PHYSIOLOGICAL MEASUREMENT,37(12),2214-2230.
MLA Xiong, Peng,et al."A stacked contractive denoising auto-encoder for ECG signal denoising".PHYSIOLOGICAL MEASUREMENT 37.12(2016):2214-2230.
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