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EnglishIn 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.
| Titolo: | Joint analog-to-information conversion of heterogeneous biosignals | |
| Autore/i: | CAMBARERI, VALERIO; MANGIA, MAURO; ROVATTI, RICCARDO; SETTI, GIANLUCA | |
| Autore/i Unibo: | ||
| Anno: | 2013 | |
| Titolo del libro: | Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE | |
| Pagina iniziale: | 158 | |
| Pagina finale: | 161 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/BioCAS.2013.6679663 | |
| Abstract: | 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. | |
| Data prodotto definitivo in UGOV: | 15-dic-2014 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11585/400091
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