[PDF][PDF] Noise cancellation from vibrocardiographic signals based on the ensemble empirical mode decomposition

A Taebi, HA Mansy - J. Appl. Biotechnol. Bioeng, 2017 - pdfs.semanticscholar.org
Vibrocardiographic (VCG) signals are the cardiac vibration measured at the chest surface.
These signals can contain useful information for diagnosing cardiac conditions but are often …

[HTML][HTML] A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis

S Saleem, AH Khandoker, M Alkhodari… - Scientific Reports, 2022 - nature.com
Artifacts in the Electrocardiogram (ECG) degrade the quality of the recorded signal and are
not conducive to heart rate variability (HRV) analysis. The two types of noise most often …

An efficient ECG denoising technique based on non-local means estimation and modified empirical mode decomposition

P Singh, S Shahnawazuddin, G Pradhan - Circuits, Systems, and Signal …, 2018 - Springer
Noninvasive nature of Electrocardiogram (ECG) signal makes it widely accepted for cardiac
diagnosis. During the process of data acquisition, ECG signal is generally corrupted by a …

Hilbert–Huang transformation-based time-frequency analysis methods in biomedical signal applications

CF Lin, JD Zhu - Proceedings of the Institution of Mechanical …, 2012 - journals.sagepub.com
Hilbert–Huang transformation, wavelet transformation, and Fourier transformation are the
principal time-frequency analysis methods. These transformations can be used to discuss …

ECG signal denoising by fractional wavelet transform thresholding

I Houamed, L Saidi, F Srairi - Research on Biomedical Engineering, 2020 - Springer
Introduction The analysis of electrocardiogram (ECG) signals allows experts to diagnose
several cardiac disorders. However, the accuracy of such diagnosis depends heavily on the …

A novel approach for real-time ECG signal denoising using Fourier decomposition method

PM Tripathi, A Kumar, R Komaragiri… - Research on Biomedical …, 2022 - Springer
Object The heart is a vital organ in human anatomy, and proper care is essential.
Electrocardiogram (ECG) is a non-invasive and popular tool to monitor cardiac health. ECG …

Rest: Robust and efficient neural networks for sleep monitoring in the wild

R Duggal, S Freitas, C Xiao, DH Chau… - Proceedings of The Web …, 2020 - dl.acm.org
In recent years, significant attention has been devoted towards integrating deep learning
technologies in the healthcare domain. However, to safely and practically deploy deep …

ECG signal filtering based on CEEMDAN with hybrid interval thresholding and higher order statistics to select relevant modes

L El Bouny, M Khalil, A Adib - Multimedia Tools and Applications, 2019 - Springer
In this paper, we propose a novel ECG signal enhancement method based on Complete
Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Higher …

Constructing a guided filter by exploiting the butterworth filter for ECG signal enhancement

M Liu, HQ Hao, P Xiong, F Lin, ZG Hou… - Journal of Medical and …, 2018 - Springer
Electrocardiogram (ECG) signal enhancement is necessary in telemedicine. In such ECG
monitoring systems, noises like muscle artifacts, electrode motion and baseline wander are …

High-density surface EMG signal quality enhancement via optimized filtering technique for amputees' motion intent characterization towards intuitive prostheses …

YA Jarrah, MG Asogbon, OW Samuel, X Wang… - … Signal Processing and …, 2022 - Elsevier
Electromyogram (EMG) based pattern recognition (PR) strategies have been well
investigated and applied as viable control strategies for upper limb prostheses …