Department of Engineering, University of Sannio, Corso Garibaldi, 107, 82100 Benevento, Italy.
Sensors (Basel). 2021 Oct 22;21(21):7003. doi: 10.3390/s21217003.
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%.
本文提出了一种基于压缩感知（CS）的多导联心电图（ECG）监测的创新方法。所提出的方法将先前在单导联上开发的动态压缩感知方法扩展到多导联信号。动态传感方法利用传感矩阵，其元素是从要压缩的信号中动态获取的。在该方法中，针对多导联的应用，提出使用单个传感矩阵，其元素是从多个导联的组合中获得的。该方法在广泛的信号集上进行了评估，并在健康受试者和患有不同病理的受试者（如心肌梗死、心肌病和束支传导阻滞）上进行了采集。实验结果表明，该方法可以采用高达 10 的压缩比（CR），而不会影响信号质量。特别是对于 CR=10，它在广泛的 ECG 信号集中的均方根差平均百分比低于 3%。
