Rakeness-based approach to compressed sensing of ECGs

Mauro Mangia; Javier Haboba; Riccardo Rovatti; Gianluca Setti

doi:10.1109/BioCAS.2011.6107818

Rakeness-based approach to compressed sensing of ECGs

Mauro Mangia, Javier Haboba, Riccardo Rovatti, Gianluca Setti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 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 language	English (US)
Title of host publication	2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011
Pages	424-427
Number of pages	4
DOIs	https://doi.org/10.1109/BioCAS.2011.6107818
State	Published - Dec 1 2011
Externally published	Yes

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10.1109/BioCAS.2011.6107818

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title = "Rakeness-based approach to compressed sensing of ECGs",

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. {\textcopyright} 2011 IEEE.",

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AU - Haboba, Javier

AU - Rovatti, Riccardo

AU - Setti, Gianluca

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PY - 2011/12/1

Y1 - 2011/12/1

N2 - 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.

AB - 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.

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U2 - 10.1109/BioCAS.2011.6107818

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BT - 2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011

ER -

Rakeness-based approach to compressed sensing of ECGs

Abstract

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