Multichannel Electrocardiogram Reconstruction in Wireless Body Sensor Networks Through Weighted $\ell_{1,2}$ Minimization

The emerging compressive sensing (CS) paradigm holds considerable promise for improving the energy efficiency of wireless body sensor networks, which enables nodes to employ a sample rate significantly below Nyquist while still able to accurately reconstruct signals. In this paper, we propose a weighted ℓ1,2 minimization method for multichannel electrocardiogram (ECG) reconstruction by exploiting ...