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Adaptive dual augmented extended Kalman filtering of ECG signals
In the previous investigation, we demonstrated that the augmented extended Kalman filter
(AEKF) can effectively address the limitations of the conventional extended Kalman filter …
(AEKF) can effectively address the limitations of the conventional extended Kalman filter …
[HTML][HTML] Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review
Y Jia, H Pei, J Liang, Y Zhou, Y Yang, Y Cui… - …, 2024 - pmc.ncbi.nlm.nih.gov
This review systematically analyzes the latest advancements in preprocessing techniques
for Electrocardiography (ECG) and Magnetocardiography (MCG) signals over the past …
for Electrocardiography (ECG) and Magnetocardiography (MCG) signals over the past …
Efficient Adaptive Method for ECG Noise Elimination
Electrocardiogram (ECG) signals play an essential role in cardiovascular disease diagnosis.
However, ECG signals frequently encounter contamination from various noises, such as …
However, ECG signals frequently encounter contamination from various noises, such as …
[PDF][PDF] Utilizing SimEMG to Evaluate the Effectiveness of Adaptive Filters in Removing EMG Contamination from ECG Recordings
A Al-Safi - Elektrotehniski Vestnik, 2024 - ev.fe.uni-lj.si
The noise in electrocardiographic (ECG) recordings can significantly affect their medical
interpretation, especially when the electromyographic (EMG) noise overlaps with the QRS …
interpretation, especially when the electromyographic (EMG) noise overlaps with the QRS …
The Employment of Filters in Electrocardiogram Signal Processing and their Applications
HH Jassim, DA Kadim, A Abdelhadi… - AUIQ Technical …, 2024 - ates.alayen.edu.iq
Filters are essential tools in the field of signal processing, they have been employed to
control the signals and reduce or eliminate the noise associated with the signal. In this …
control the signals and reduce or eliminate the noise associated with the signal. In this …