Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
ECG Sparsity Evaluation on a Multiwavelet Basis
View through CrossRef
AbstractIn this paper, an evaluation of the multiwavelet basis’ capability to represent the ECG signal sparsely was performed. The paper includes the mathematical formulation of sparsity, a brief introduction to the multiwavelet transform, as well as details about the simulation setup used for evaluation. Throughout the paper, various multiwavelets were investigated. The reported results show that the BAT and DB multiwavelets performed well, thus they could be used in the ECG signal sparsification. The investigation also focused on the ECG signals displaying deformations associated with illnesses. Preliminary results suggest that multiwavelets may prove beneficial for diverse processing of ECG signals.
Walter de Gruyter GmbH
Title: ECG Sparsity Evaluation on a Multiwavelet Basis
Description:
AbstractIn this paper, an evaluation of the multiwavelet basis’ capability to represent the ECG signal sparsely was performed.
The paper includes the mathematical formulation of sparsity, a brief introduction to the multiwavelet transform, as well as details about the simulation setup used for evaluation.
Throughout the paper, various multiwavelets were investigated.
The reported results show that the BAT and DB multiwavelets performed well, thus they could be used in the ECG signal sparsification.
The investigation also focused on the ECG signals displaying deformations associated with illnesses.
Preliminary results suggest that multiwavelets may prove beneficial for diverse processing of ECG signals.
Related Results
Orthogonal Multiwavelet Frames in L2(Rd)
Orthogonal Multiwavelet Frames in L2(Rd)
We characterize the orthogonal frames and orthogonal multiwavelet frames in L2(Rd) with matrix dilations of the form , where A is an arbitrary expanding d × d matrix with integer c...
Inter-beat and intra-beat ECG interval analysis based on state space and hidden markov models
Inter-beat and intra-beat ECG interval analysis based on state space and hidden markov models
Analyse des intervalles ECG inter- et intra-battement sur des modèles d'espace d'état et de Markov cachés
Les maladies cardiovasculaires sont l'une des principales ...
Complex Deep Learning Models for Denoising of Human Heart ECG signals
Complex Deep Learning Models for Denoising of Human Heart ECG signals
Effective and powerful methods for denoising real electrocardiogram (ECG) signals are important for wearable sensors and devices. Deep Learning (DL) models have been used extensive...
Development of AI-based method to detect the subtle ECG deviations from the population ECG norm
Development of AI-based method to detect the subtle ECG deviations from the population ECG norm
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Natio...
How Can We Identify the Best Implantation Site for an ECG Event Recorder?
How Can We Identify the Best Implantation Site for an ECG Event Recorder?
ZELLERHOFF, C., et al.: How Can We Identify the Best Implantation Site for an ECG Event Recorder? The aim of this study was to show how to find the preferable implantation site for...
A novel fetal ecg signal extraction from maternal ecg signal using conditional generative adversarial networks (CGAN)
A novel fetal ecg signal extraction from maternal ecg signal using conditional generative adversarial networks (CGAN)
Fetal Electrocardiogram (ECG) signal extraction from non-invasive abdominal ECG signal is one of the important clinical practices followed to observe the fetal health state. Inform...
Self-Supervised Electrocardiograph De-noising
Self-Supervised Electrocardiograph De-noising
Abstract
The electrocardiogram (ECG) records heart-beats and is potentially life-saving. However, the ECG signals (e.g., recorded by the standard ECG monitoring sys...
Advanced ECG analysis for the extraction of cardiac mechanical dispersion biomarkers
Advanced ECG analysis for the extraction of cardiac mechanical dispersion biomarkers
Analyse approfondie de l'ECG pour l'extraction de biomarqueurs de la dispersion mécanique cardiaque
Cette thèse contribue à une meilleure évaluation de la cardiotox...