Joint analog-to-information conversion of heterogeneous biosignals

Valerio Cambareri, Mauro Mangia, Riccardo Rovatti, Gianluca Setti

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

1 Scopus citations


In this work, we propose an analog-to-information conversion based sensing protocol for the joint acquisition of signals in a typical body sensor network composed of different kinds of sensing devices. The proposed system is based on the compressive sensing paradigm, and jointly encodes sparse and non-sparse signals with an advantage in terms of required transmission bits and achieved signal-to-noise ratio with respect to the standard case of disjoint signal acquisition. A theoretical analysis is supported by some practical examples which show how the proposed system is able to outperform traditional approaches. © 2013 IEEE.
Original languageEnglish (US)
Title of host publication2013 IEEE Biomedical Circuits and Systems Conference, BioCAS 2013
Number of pages4
StatePublished - Dec 1 2013
Externally publishedYes


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