ECG signal compression using compressed sensing with nonuniform binary matrices

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. T...

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Bibliographic Details
Published in2012 16th CSI International Symposium on Artificial Intelligence and Signal Processing pp. 305 - 309
Main Authors Ansari-Ram, F., Hosseini-Khayat, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Complexity theory
Compressed sensing
Electrocardigram
Electrocardiography
Monitoring
Sensors
Signal compression
Signal processing
Vectors
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ISBN9781467314787
1467314781
DOI10.1109/AISP.2012.6313763

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Summary: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.
ISBN:9781467314787
1467314781
DOI:10.1109/AISP.2012.6313763