Rakeness-based approach to compressed sensing of ECGs

Mauro Mangia, Javier Haboba, Riccardo Rovatti, Gianluca Setti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Compressed sensing is an analog signal acquisition technique that aims at converting the intrinsic information contained in the signal when some a priori assumptions can be made on its structure. The most common of these assumptions is that the signal is sparse. We here present a methods that works when the signal to acquire is not only sparse but also localized. Benefits of this method will be shown by applying it to ECG signals. © 2011 IEEE.
Original languageEnglish (US)
Title of host publication2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011
Pages424-427
Number of pages4
DOIs
StatePublished - Dec 1 2011
Externally publishedYes

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