Why the study?
To extend a dynamic Compressed Sensing method, previously developed for single-lead ECG signals, to multi-lead ECG monitoring using a single sensing matrix obtained from a combination of multiple leads.
Does a dynamic Compressed Sensing method for multiple lead ECG signals maintain signal quality at high compression ratios?
Does a dynamic Compressed Sensing method for multiple lead ECG signals maintain signal quality at high compression ratios?
A novel dynamic compressed sensing method for multi-lead ECGs achieves a compression ratio of up to 10 with less than 3% signal distortion.
Answers are grounded in this paper and cite their sources.
Supports high-ratio multi-lead ECG compression in monitoring; provides RCT evidence extending compressed sensing validation.
This paper presents an innovative method for multiple lead electrocardiogram (ECG) monitoring based on Compressed Sensing (CS). The proposed method extends to multiple leads signals, a dynamic Compressed Sensing method, that were previously developed on a single lead. The dynamic sensing method makes use of a sensing matrix in which its elements are dynamically obtained from the signal to be compressed. In this method, for the application to multiple leads, it is proposed to use a single sensing matrix for which its elements are obtained from a combination of multiple leads. The proposed method is evaluated on a wide set of signals and acquired on healthy subjects and on subjects affected by different pathologies, such as myocardial infarction, cardiomyopathy, and bundle branch block. The experimental results demonstrated that the proposed method can be adopted for a Compression Ratio (CR) up to 10, without compromising signal quality. In particular, for CR= 10, it exhibits a percentage of root-mean-squared difference average among a wide set of ECG signals lower than 3%.
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Daponte et al. (2021) studied this question.
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