Application of compressed sensing to ECG signals: Decoder-side benefits of the rakeness approach

Mauro Mangia, Daniele Bortolotti, Andrea Bartolini, Fabio Pareschi, Luca Benini, Riccardo Rovatti, Gianluca Setti

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

2 Scopus citations


Compressed sensing has recently been actively investigated as a mean of lowering the power consumption of sensing nodes in biomedical signal devices due to its capability to reduce the amount of data to be transmitted for the correct reconstruction of the acquired waveforms. The rakeness-based design of compressed sensing stages exploits the uneven distribution of energy in the sensed signal and has proved to be extremely effective in maximizing the energy savings. Yet, many body-area sensor network architectures include intermediate gateway nodes that receive and reconstruct signals to provide local services before relaying data to a remote server. In this case, the decoder-side power consumption is also an issue. In this paper, with particular reference to ECG signals, we show that rakeness-based design is also capable to reduce resources required at the decoder side for reconstruction. This happens across a variety of reconstruction algorithms that see their running time substantially reduced. Actual savings are then experimentally quantified by measuring the energy requirements of one of the algorithms on a common mobile computing platform.
Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)9781509029594
StatePublished - Jan 1 2016
Externally publishedYes


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