<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In 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.</p>
</abstract>

In 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.

ECG Sparsity Evaluation on a Multiwavelet Basis

Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics

Acta Electrotechnica et Informatica

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"ECG Sparsity Evaluation on a Multiwavelet Basis"}

In this paper, an evaluation of the multiwavelet basis’ capability to represent the ECG signal sparsely was performed. The paper includes the mathematical...

ECG Sparsity Evaluation on a Multiwavelet Basis

Data publikacji: 28 lut 2024

Zakres stron: 17 - 23

Otrzymano: 14 gru 2023

Przyjęty: 22 sty 2024

DOI: https://doi.org/10.2478/aei-2023-0018

Słowa kluczowe
Electrocardiogram, Sparsity, Compression, Compressed sensing, Multiwavelet

© 2023 Jozef Kromka et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

ECG Sparsity Evaluation on a Multiwavelet Basis

Data publikacji: 28 lut 2024

Zakres stron: 17 - 23

Otrzymano: 14 gru 2023

Przyjęty: 22 sty 2024

DOI: https://doi.org/10.2478/aei-2023-0018

Słowa kluczoweElectrocardiogram, Sparsity, Compression, Compressed sensing, Multiwavelet

© 2023 Jozef Kromka et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Electrocardiogram, Sparsity, Compression, Compressed sensing, Multiwavelet