A review of wavelet analysis and its applications: Challenges and opportunities

T Guo, T Zhang, E Lim, M Lopez-Benitez, F Ma… - IEEe …, 2022 - ieeexplore.ieee.org
As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly develo**. This article reviews the development history of wavelet theory, from …

A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases

PM Tripathi, A Kumar, R Komaragiri… - Archives of Computational …, 2022 - Springer
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 …

Accurate wavelet thresholding method for ECG signals

K Yu, L Feng, Y Chen, M Wu, Y Zhang, P Zhu… - Computers in Biology …, 2024 - Elsevier
Current wavelet thresholding methods for cardiogram signals captured by flexible wearable
sensors face a challenge in achieving both accurate thresholding and real-time signal …

Denoising of ECG signals using weighted stationary wavelet total variation

P Madan, V Singh, DP Singh, M Diwakar… - … Signal Processing and …, 2022 - Elsevier
ECG signals capture the electrical activity of the heart and can be used to determine its
health. The P-QRS-T morphological features of the ECG may be used to identify a variety of …

Power line noise and baseline wander removal from ECG signals using empirical mode decomposition and lifting wavelet transform technique

SA Malik, SA Parah, BA Malik - Health and Technology, 2022 - Springer
The potency of the intuitive empirical mode decomposition in conjugation with the efficient
and fast lifting wavelet transform in discarding powerline noise and baseline wander is …

A Review on the Applications of Time‐Frequency Methods in ECG Analysis

BK Pradhan, BC Neelappu… - Journal of …, 2023 - Wiley Online Library
The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

Asymptomatic COVID-19 CT image denoising method based on wavelet transform combined with improved PSO

G Wang, S Guo, L Han, AB Cekderi, X Song… - … Signal Processing and …, 2022 - Elsevier
The quality of asymptomatic corona virus disease 2019 (COVID-19) computed tomography
(CT) image is reduced due to interference from Gaussian noise, which affects the …

Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals

W Zeng, B Su, Y Chen, C Yuan - Multimedia Tools and Applications, 2023 - Springer
Cardiac arrhythmia is a typically clinical manifestation of cardiovascular disease which leads
to serious health problem. Detection of arrhythmia is traditionally relying on manual …

[HTML][HTML] Enhanced Discrete Wavelet Transform–Non-Local Means for Multimode Fiber Optic Vibration Signal

Z Peng, K Yu, Y Zhang, P Zhu, W Chen, J Hao - Photonics, 2024 - mdpi.com
Real-time monitoring of heartbeat signals using multimode fiber optic microvibration sensing
technology is crucial for diagnosing cardiovascular diseases, but the heartbeat signals are …

Wire rope damage detection signal processing using K-singular value decomposition and optimized double-tree complex wavelet transform

H Wang, Q Li, S Han, P Li, J Tian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Steel wire ropes are used for transporting personnel and materials in coal mines. Its quality
directly affects the safety of mining operations, and hence, it is important to accurately …