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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 …
ECG denoising method based on an improved VMD algorithm
C Li, Y Wu, H Lin, J Li, F Zhang… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Electrocardiogram (ECG) acquisition is easily contaminated by interferences, and denoising
is the most important task in ECG detection. The variational mode decomposition (VMD) …
is the most important task in ECG detection. The variational mode decomposition (VMD) …
Hardware/software co-design of an ECG-PPG preprocessor: A qualitative & quantitative analysis
This paper aims to design a digital system to pre-process electrocardiogram (ECG) and
photoplethysmogram (PPG) signal for the purpose of hardware implementation. Muscle …
photoplethysmogram (PPG) signal for the purpose of hardware implementation. Muscle …
[HTML][HTML] Channel-wise average pooling and 1D pixel-shuffle denoising autoencoder for electrode motion artifact removal in ECG
YS Jhang, ST Wang, MH Sheu, SH Wang, SC Lai - Applied Sciences, 2022 - mdpi.com
This paper presents a channel-wise average pooling and one dimension pixel-shuffle
architecture for a denoising autoencoder (CPDAE) design that can be applied to efficiently …
architecture for a denoising autoencoder (CPDAE) design that can be applied to efficiently …
Classification of electroencephalograms before or after applying transcutaneous electrical nerve stimulation therapy using fractional empirical mode decomposition
J Liu, BWK Ling, Z Zhou, W Wu, R Li, Q Liu - Multimedia Tools and …, 2024 - Springer
It is worth noting that applying the transcutaneous electrical nerve stimulation (TENS)
therapy at the superficial nerve locations can modulate the brain activities. This paper aims …
therapy at the superficial nerve locations can modulate the brain activities. This paper aims …
A novel controllable energy constraints-variational mode decomposition denoising algorithm
Y Yu, Z Zhou, C Song, J Zhang - Biomedical Engineering Letters, 2025 - Springer
Electrocardiogram (ECG) is mainly utilized for diagnosing heart diseases. However, various
noises can influence the diagnostic accuracy. This paper presents a novel algorithm for …
noises can influence the diagnostic accuracy. This paper presents a novel algorithm for …
Design of high performance and energy efficient convolution array for convolution neural network-based image inference engine
The energy efficiency of CNN-based inference engines predominately depends upon Giga-
operations-per-second and power consumption. The sparse-based accelerator compresses …
operations-per-second and power consumption. The sparse-based accelerator compresses …
Basis pursuit sparse decomposition using tunable-Q wavelet transform (BPSD-TQWT) for denoising of electrocardiograms
The electrocardiogram (ECG) is an essential diagnostic tool to identify cardiac
abnormalities. So, the primary issue in an ECG acquisition unit is noise interference …
abnormalities. So, the primary issue in an ECG acquisition unit is noise interference …
PLI cancellation in ECG signal using intrinsic time scale decomposition with adaptive gain control
SK Chennupati - Journal of Engineering, Design and Technology, 2023 - emerald.com
Purpose The purpose of this manuscript is to detect heart fault using Electrocardiogram.
Mutually low and high frequency noises such as electromyography (EMG) and power line …
Mutually low and high frequency noises such as electromyography (EMG) and power line …