Muscle and electrode motion artifacts reduction in ECG using adaptive Fourier decomposition
The reduction of the muscle and electrode motion artifacts in ECG using the adaptive Fourier
decomposition (AFD) is investigated. This is an extension of our previous work, in which …
decomposition (AFD) is investigated. This is an extension of our previous work, in which …
Selection of an optimal mother wavelet basis function for ECG signal denoising
U Seljuq, F Himayun, H Rasheed - 17th IEEE International Multi …, 2014 - ieeexplore.ieee.org
Electrocardiogram (ECG) is one of the most useful for the early diagnosis and monitoring of
the cardiac problems. Cardiovascular diseases are the common cause of death all over the …
the cardiac problems. Cardiovascular diseases are the common cause of death all over the …
TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising.
A novel type2-fuzzy adaptive filter is presented, which uses the concepts of type2-fuzzy
logic, for electrocardiogram signals denoising. Type2-fuzzy adaptive filter is an information …
logic, for electrocardiogram signals denoising. Type2-fuzzy adaptive filter is an information …
Patient-specific ECG beat classification using EMD and deep learning-based technique
Electrocardiogram (ECG) is a vital tool to identify cardiac disorders effectively in the medical
field. However, manual detection of crucial episodes in ambulatory ECG is very difficult …
field. However, manual detection of crucial episodes in ambulatory ECG is very difficult …
Texture image classification using improved image enhancement and adaptive SVM
LB Abdul Hamid, AS Mohd Khairuddin… - Signal, Image and Video …, 2022 - Springer
The development of a robust and accurate wood species recognition system based on wood
texture images is important to guarantee the quality of the wood merchandise. Wood species …
texture images is important to guarantee the quality of the wood merchandise. Wood species …
Denoising and SNR improvement of ECG signals using wavelet based techniques
T Yadav, R Mehra - 2016 2nd International Conference on Next …, 2016 - ieeexplore.ieee.org
The Electrocardiogram is an important diagnostic tool used to fetch out the information
related to human heart simply by attaching the electrodes. The calculation of heart rate is …
related to human heart simply by attaching the electrodes. The calculation of heart rate is …
Improved complete ensemble empirical mode decomposition with adaptive noise: quasi-oppositional Jaya hybrid algorithm for ECG denoising
RM Bodile, TVKH Rao - Analog Integrated Circuits and Signal Processing, 2021 - Springer
Electrocardiogram (ECG) is an effective, non-invasive, and economical diagnostic
equipment, which plays a key role in screening and understanding of heart illnesses …
equipment, which plays a key role in screening and understanding of heart illnesses …
Stress wave signal denoising using ensemble empirical mode decomposition and an instantaneous half period model
YM Fang, HL Feng, J Li, GH Li - Sensors, 2011 - mdpi.com
Stress-wave-based techniques have been proven to be an accurate nondestructive test
means for determining the quality of wood based materials and they been widely used for …
means for determining the quality of wood based materials and they been widely used for …
Multiscale entropy with electrocardiograph, electromyography, electroencephalography, and photoplethysmography signals in healthcare: A twelve-year systematic …
H Wu - Biomedical Signal Processing and Control, 2024 - Elsevier
Understanding the complexity of living systems in both health and disease poses a
substantial challenge in biomedical science. Traditional models and statistical analyses …
substantial challenge in biomedical science. Traditional models and statistical analyses …
Exploring the non-local similarity present in variational mode functions for effective ECG denoising
ECG is corrupted by various noises and denoising of ECG is central to proper diagnosis of
cardiac diseases. The main objective of this work is to exploit the efficacy of non-local means …
cardiac diseases. The main objective of this work is to exploit the efficacy of non-local means …