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 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 …
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
Artificial intelligence (AI) can detect left ventricular systolic dysfunction (LVSD) from
electrocardiograms (ECGs). Wearable devices could allow for broad AI-based screening but …
electrocardiograms (ECGs). Wearable devices could allow for broad AI-based screening but …
An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique
Baseline wander (BW) and power-line interference (PLI) tend to occur in every recorded
electrocardiogram (ECG) signal and can significantly deteriorate the quality of the signal …
electrocardiogram (ECG) signal and can significantly deteriorate the quality of the signal …
A systematic review on artificial intelligence-based techniques for diagnosis of cardiovascular arrhythmia diseases: challenges and opportunities
S Singhal, M Kumar - Archives of Computational Methods in Engineering, 2023 - Springer
Cardiovascular health-related problem is a rapidly increasing integrated field concerning the
processing and fetching the information from cardiovascular systems for early detection and …
processing and fetching the information from cardiovascular systems for early detection and …
QRS complexes and T waves localization in multi-lead ECG signals based on deep learning and electrophysiology knowledge
C Han, W Que, S Wang, J Zhang, J Zhao… - Expert Systems with …, 2022 - Elsevier
Accurate locations of key feature points for QRS complexes and T waves in
electrocardiograms (ECGs) play a vital role in the analysis of cardiovascular diseases, such …
electrocardiograms (ECGs) play a vital role in the analysis of cardiovascular diseases, such …
Patient data hiding into ECG signal using watermarking in transform domain
Electrocardiogram (ECG) watermarking provides secure communication of patient
information lies in a 1D-ECG signal. The primary challenge in ECG watermarking is the …
information lies in a 1D-ECG signal. The primary challenge in ECG watermarking is the …
Sparsity-based modified wavelet de-noising autoencoder for ECG signals
Electrocardiogram (ECG) is susceptible to different kinds of noises whose removal is
necessary for accurate clinical diagnosis. This paper proposes a hybrid technique that …
necessary for accurate clinical diagnosis. This paper proposes a hybrid technique that …
Dynamic thresholding based efficient QRS complex detection with low computational overhead
QRS-complex detection is a primitive step in the detection of cardiac disorder using
electrocardiogram (ECG). Abnormal and varying peaks, baseline wander and other noise …
electrocardiogram (ECG). Abnormal and varying peaks, baseline wander and other noise …
An improved cardiac arrhythmia classification using stationary wavelet transform decomposed short duration QRS segment and Bi-LSTM network
Arrhythmia is a kind of cardiac conduction disorder those result in irregular heartbeats. The
electrocardiograph (ECG) signal may identify conduction system abnormalities. However, its …
electrocardiograph (ECG) signal may identify conduction system abnormalities. However, its …