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 …
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN
Vibration signals have been increasingly utilized in various engineering fields for analysis
and monitoring purposes, including structural health monitoring, fault diagnosis and damage …
and monitoring purposes, including structural health monitoring, fault diagnosis and damage …
Arrhythmia classification algorithm based on multi-head self-attention mechanism
Cardiovascular disease is a major illness that causes human death, especially in the elderly.
Timely and accurate diagnosis of arrhythmia types is the key to early prevention and …
Timely and accurate diagnosis of arrhythmia types is the key to early prevention and …
Wavelet-Seq2Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants
SF Stefenon, LO Seman, LS Aquino… - Energy, 2023 - Elsevier
Reservoir level control in hydroelectric power plants has importance for the stability of the
electric power supply over time and can be used for flood control. In this sense, this paper …
electric power supply over time and can be used for flood control. In this sense, this paper …
Wavelet based filters for artifact elimination in electroencephalography signal: A review
SNSS Daud, R Sudirman - Annals of Biomedical Engineering, 2022 - Springer
Electroencephalography (EEG) is a diagnostic test that records and measures the electrical
activity of the human brain. Research investigating human behaviors and conditions using …
activity of the human brain. Research investigating human behaviors and conditions using …
Noise-boosted weak signal detection in fractional nonlinear systems enhanced by increasing potential-well width and its application to mechanical fault diagnosis
Z Qiao, Y He, C Liao, R Zhu - Chaos, Solitons & Fractals, 2023 - Elsevier
Noise is seen as the annoying something for weak signal detection, but noise is beneficial to
enhance weak signals of interest embedded in noise in nonlinear systems. Moreover, the …
enhance weak signals of interest embedded in noise in nonlinear systems. Moreover, the …
Automatic cardiac arrhythmia classification based on hybrid 1-D CNN and Bi-LSTM model
Cardiovascular diseases (CVDs) are a group of heart and blood vessel ailments that can
cause chest pain and trouble breathing, especially while active. However, some patients …
cause chest pain and trouble breathing, especially while active. However, some patients …
Combining gabor energy with equilibrium optimizer algorithm for multi-modality medical image fusion
PH Dinh - Biomedical Signal Processing and Control, 2021 - Elsevier
Medical image fusion is a technique of extracting information from multiple image modalities
and combining them to create a single image with the aim of improving the image content …
and combining them to create a single image with the aim of improving the image content …
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 …