Reconstruction of compressed sensed ECG signals using patient specific dictionaries

Abstract

In this paper we investigate the reconstruction of compressed sensed ECG signals using dictionaries specific for each patient. Two projection matrices, random and Bernoulli, have been tested. For 24 records from the MIH-BIH database and for a compression ratio (CR) of 10:1 an average percentage root-mean-square difference (PRD) of 0.81, a normalized PRD (PRDN) of 15.49 and a quality score (QS) of 12.34 have been obtained. For record 117, for CR = 15:1 the PRD, PRDN and QS were 0.96, 17.28 and 15.62 respectively.