Rotating machinery fault-induced vibration signal modulation effects: A review with mechanisms, extraction methods and applications for diagnosis
Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …
and their diagnosis can thus be conducted by extracting fault-induced modulation features …
Signal and image processing in biomedical photoacoustic imaging: a review
Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. PAI
works on the principle of electromagnetic energy absorption by the exogenous contrast …
works on the principle of electromagnetic energy absorption by the exogenous contrast …
Stationary wavelet transform based ECG signal denoising method
Electrocardiogram (ECG) signals are used to diagnose cardiovascular diseases. During
ECG signal acquisition, various noises like power line interference, baseline wandering …
ECG signal acquisition, various noises like power line interference, baseline wandering …
[PDF][PDF] 信号分解及其在机械故障诊断中的应用研究综述
陈是扦, 彭志科, 周鹏 - 机械工程学报, 2020 - qikan.cmes.org
重大装备制造业是国民经济的支柱, 也是关系到国家安全的战略性产业, 而重大机械装备的运行
安全一直是备受关注的焦点. 机械设备由于工作环境恶劣, 工况复杂, 其关键部件容易受损 …
安全一直是备受关注的焦点. 机械设备由于工作环境恶劣, 工况复杂, 其关键部件容易受损 …
Nonlinear chirp mode decomposition: A variational method
Variational mode decomposition (VMD), a recently introduced method for adaptive data
analysis, has aroused much attention in various fields. However, the VMD is formulated …
analysis, has aroused much attention in various fields. However, the VMD is formulated …
Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains
This paper presents a new ECG denoising approach based on noise reduction algorithms in
empirical mode decomposition (EMD) and discrete wavelet transform (DWT) domains …
empirical mode decomposition (EMD) and discrete wavelet transform (DWT) domains …
An efficient ECG denoising methodology using empirical mode decomposition and adaptive switching mean filter
Electrocardiogram (ECG) is a widely employed tool for the analysis of cardiac disorders. A
clean ECG is often desired for proper treatment of cardiac ailments. However, in the real …
clean ECG is often desired for proper treatment of cardiac ailments. However, in the real …
ECG signal denoising and baseline wander correction based on the empirical mode decomposition
M Blanco-Velasco, B Weng, KE Barner - Computers in biology and …, 2008 - Elsevier
The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Good quality
ECG are utilized by physicians for interpretation and identification of physiological and …
ECG are utilized by physicians for interpretation and identification of physiological and …
An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks
S Poungponsri, XH Yu - Neurocomputing, 2013 - Elsevier
Electrocardiogram (ECG) signals have been widely used in clinical studies to detect heart
diseases. However, ECG signals are often contaminated with noise such as baseline drift …
diseases. However, ECG signals are often contaminated with noise such as baseline drift …
Empirical mode decomposition based ECG enhancement and QRS detection
In this paper an Empirical Mode Decomposition (EMD) based ECG signal enhancement and
QRS detection algorithm is proposed. Being a non-invasive measurement, ECG is prone to …
QRS detection algorithm is proposed. Being a non-invasive measurement, ECG is prone to …