Review of noise removal techniques in ECG signals
An electrocardiogram (ECG) records the electrical signal from the heart to check for different
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
A study on arrhythmia via ECG signal classification using the convolutional neural network
M Wu, Y Lu, W Yang, SY Wong - Frontiers in computational …, 2021 - frontiersin.org
Cardiovascular diseases (CVDs) are the leading cause of death today. The current
identification method of the diseases is analyzing the Electrocardiogram (ECG), which is a …
identification method of the diseases is analyzing the Electrocardiogram (ECG), which is a …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
ECG signal enhancement based on improved denoising auto-encoder
P Xiong, H Wang, M Liu, S Zhou, Z Hou, X Liu - Engineering Applications of …, 2016 - Elsevier
The electrocardiogram (ECG) is a primary diagnostic tool for examining cardiac tissue and
structures. ECG signals are often contaminated by noise, which can manifest with similar …
structures. ECG signals are often contaminated by noise, which can manifest with similar …
An efficient algorithm of ECG signal denoising using the adaptive dual threshold filter and the discrete wavelet transform
This paper proposes an efficient method of ECG signal denoising using the adaptive dual
threshold filter (ADTF) and the discrete wavelet transform (DWT). The aim of this method is to …
threshold filter (ADTF) and the discrete wavelet transform (DWT). The aim of this method is to …
Denoising of Electrocardiogram (ECG) signal by using empirical mode decomposition (EMD) with non-local mean (NLM) technique
S Kumar, D Panigrahy, PK Sahu - biocybernetics and biomedical …, 2018 - Elsevier
In this paper, the investigation on effectiveness of the empirical mode decomposition (EMD)
with non-local mean (NLM) technique by using the value of differential standard deviation for …
with non-local mean (NLM) technique by using the value of differential standard deviation for …
Neuromuscular disorders detection through time-frequency analysis and classification of multi-muscular EMG signals using Hilbert-Huang transform
JR Torres-Castillo, CO Lopez-Lopez… - … Signal Processing and …, 2022 - Elsevier
Electromyographic (EMG) signal analysis plays a vital role in diagnosing neuromuscular
disorders (NMD). It is based on the clinician's experience in interpreting the signal's shape …
disorders (NMD). It is based on the clinician's experience in interpreting the signal's shape …
An Adaptive and Time‐Efficient ECG R‐Peak Detection Algorithm
Q Qin, J Li, Y Yue, C Liu - Journal of healthcare engineering, 2017 - Wiley Online Library
R‐peak detection is crucial in electrocardiogram (ECG) signal analysis. This study proposed
an adaptive and time‐efficient R‐peak detection algorithm for ECG processing. First, wavelet …
an adaptive and time‐efficient R‐peak detection algorithm for ECG processing. First, wavelet …
A multi-stage denoising framework for ambulatory ECG signal based on domain knowledge and motion artifact detection
X Xie, H Liu, M Shu, Q Zhu, A Huang, X Kong… - Future Generation …, 2021 - Elsevier
Electrocardiogram (ECG) acquired by wearable devices is increasingly used for healthcare
applications. However, the ECG signals are severely corrupted by various noises (eg …
applications. However, the ECG signals are severely corrupted by various noises (eg …