Why the study?
The study evaluated the capability of the multiwavelet basis to represent ECG signals sparsely, including signals displaying deformations associated with illnesses.
Answers are grounded in this paper and cite their sources.
BAT and DB multiwavelets effectively sparsify ECG signals, including those with pathological deformations, offering a promising approach for ECG data compression.
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.
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Kromka et al. (2023) studied this question.
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