Title :
ECG signal compression using compressed sensing with nonuniform binary matrices
Author :
Ansari-Ram, Fahimeh ; Hosseini-Khayat, Saied
Author_Institution :
Electr. Eng. Dept., Ferdowsi Univ. of Mashhad, Mashhad, Iran
Abstract :
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 :
biomedical transducers; compressed sensing; data compression; electrocardiography; matrix algebra; medical signal processing; patient monitoring; portable instruments; signal reconstruction; ECG signal compression ratio; ECG signal distortion reduction; cardiac patient monitoring; compressed sensing; energy consumption minimization; information transmission; nonuniform binary sensing matrix; portable ECG sensor; wearable ECG sensor; Complexity theory; Compressed sensing; Electrocardiography; Monitoring; Sensors; Signal processing; Vectors; Compressed sensing; Electrocardigram; Signal compression;
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location :
Shiraz, Fars
Print_ISBN :
978-1-4673-1478-7
DOI :
10.1109/AISP.2012.6313763
