Review of noise removal techniques in ECG signals
An electrocardiogram (ECG) records the electrical signal from the heart to check for different
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
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 …
Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis
J Cheng, Y Yang, X Li, J Cheng - Mechanical Systems and Signal …, 2021 - Elsevier
As is known to all, rolling bearing fault will induce periodic impulses. Although the existing
fault diagnosis methods, such as wavelet transform (WT) and ensemble empirical mode …
fault diagnosis methods, such as wavelet transform (WT) and ensemble empirical mode …
Advanced bioelectrical signal processing methods: Past, present and future approach—part i: Cardiac signals
Advanced signal processing methods are one of the fastest developing scientific and
technical areas of biomedical engineering with increasing usage in current clinical practice …
technical areas of biomedical engineering with increasing usage in current clinical practice …
Moving data window-based partially-coupled estimation approach for modeling a dynamical system involving unmeasurable states
T Cui, F Ding, T Hayat - ISA transactions, 2022 - Elsevier
The simultaneous parameter and state estimation for a multi-input multi-output (MIMO) state
space system from a set of measurement data is taken into account in this paper. Firstly, in …
space system from a set of measurement data is taken into account in this paper. Firstly, in …
A novel approach for optimal design of digital FIR filter using grasshopper optimization algorithm
The idea behind designing digital filters is to compute the optimal filter coefficients such that
the magnitude response of the designed matches the ideal frequency response using …
the magnitude response of the designed matches the ideal frequency response using …
Patient data hiding into ECG signal using watermarking in transform domain
Electrocardiogram (ECG) watermarking provides secure communication of patient
information lies in a 1D-ECG signal. The primary challenge in ECG watermarking is the …
information lies in a 1D-ECG signal. The primary challenge in ECG watermarking is the …
[HTML][HTML] Lagrangian wavelet analysis of turbulence modulation in particle–liquid mixing flows
C Savari, M Barigou - Physics of Fluids, 2022 - pubs.aip.org
A new experimental–theoretical framework has been developed to investigate turbulence
and turbulence modulation in a two-phase multicomponent particle–liquid flow in a …
and turbulence modulation in a two-phase multicomponent particle–liquid flow in a …
Adaptive Cuckoo Search based optimal bilateral filtering for denoising of satellite images
A Asokan, J Anitha - ISA transactions, 2020 - Elsevier
A satellite image transmitted from satellite to the ground station is corrupted by different
kinds of noises such as impulse noise, speckle noise and Gaussian noise. The traditional …
kinds of noises such as impulse noise, speckle noise and Gaussian noise. The traditional …