Title : ( ECG signal compression using compressed sensing with nonuniform binary matrices )
Authors: fahimeh ansari , Seyed Saied Hosseini Khayat ,
Full TextAbstract
Wearable ECG sensors can assist in prolonged monitoring of cardiac patients. Compression of ECG signals is pursued as a means to minimize the energy consumed during transmission of information from a portable ECG sensor to a server. In this paper, compressed sensing is employed in ECG compression. To increase compression ratio and reduce distortion of the ECG signal, a non-uniform binary sensing matrix is proposed and evaluated.
Keywords
Signal compression; Electrocardigram; Compressed sensing
@inproceedings{paperid:1033070,
author = {Ansari, Fahimeh and Hosseini Khayat, Seyed Saied},
title = {ECG signal compression using compressed sensing with nonuniform binary matrices},
booktitle = {16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), 2012},
year = {2012},
location = {شیراز, IRAN},
keywords = {Signal compression; Electrocardigram; Compressed sensing},
}
%0 Conference Proceedings
%T ECG signal compression using compressed sensing with nonuniform binary matrices
%A Ansari, Fahimeh
%A Hosseini Khayat, Seyed Saied
%J 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), 2012
%D 2012
