Journal
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
Volume 10, Issue 4, Pages 23-28Publisher
UNIV SUCEAVA, FAC ELECTRICAL ENG
DOI: 10.4316/AECE.2010.04004
Keywords
Compressed sensing; Biomedical signal processing; Electrocardiography; Pursuit algorithms; Signal processing algorithms
Funding
- CNCSIS - UEFISCSU [PNII - RU - PD 347/2010, PNII - IDEI 310/2008]
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The paper presents a number of results regarding the construction of specific overcomplete dictionaries for ECG compressed sensing (CS). The dictionaries were built using normal and patological cardiac patterns extracted from 24 recordings of the MIT-BIH Arrhythmia Database. It has been shown that the compression results obtained using the CS concept based on specific dictionaries are better that those using the wavelet overcomplete dictionaries. Starting from the concept of sparse signal with respect to a given overcomplete dictionary the paper present several results regarding the possibility of simple pattern classification as well.
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