Impact of reconstruction algorithms on dynamic ECG compressed sensing

This paper presents an experimental analysis aimed at analyzing the performance of several reconstruction algorithms applied to the recovery of ECG signals from compressed sensing, when a dynamic sensing matrix is used. The manuscript briefly recalls the method used to build the sensing matrix and the adopted reconstruction algorithms. The results obtained from the compression and recovery of signals taken from the MIT Physionet database are shown and discussed and they are compared with those obtained with another combination of sensing and dictionary matrices.