Information-weighted Gaussian matrix in compressed sensing for ECG

An information-weighted Gaussian matrix (IWGM) is proposed to improve the quality of the recovered ECG signal from compressed sensing. In this paper, firstly we decrease the energy consumption by using the DCT transform instead of the traditional wavelet transform. Moreover, with the weighting of specific area in the sensing matrix, the IWGM decreases the overall error while the compressed ratio remain a relatively high level, thus, it guarantees a high-quality recovery. The experimental results indicate that the proposed matrix is suitable for compressed sensing of the ECG signal.