A review of wavelet analysis and its applications: Challenges and opportunities
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 …
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
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 …
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 …
sensors face a challenge in achieving both accurate thresholding and real-time signal …
Denoising of ECG signals using weighted stationary wavelet total variation
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 …
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
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 …
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
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 …
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 …
(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
Cardiac arrhythmia is a typically clinical manifestation of cardiovascular disease which leads
to serious health problem. Detection of arrhythmia is traditionally relying on manual …
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 …
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 …
directly affects the safety of mining operations, and hence, it is important to accurately …