000198291 001__ 198291
000198291 005__ 20190316235908.0
000198291 037__ $$aCONF
000198291 245__ $$aHardware-Software Inexactness in Noise-aware Design of Low-Power Body Sensor Nodes
000198291 269__ $$a2014
000198291 260__ $$c2014
000198291 336__ $$aConference Papers
000198291 520__ $$aWireless Body Sensor Nodes (WBSNs) are miniaturized and ultra-low-power devices, able to acquire and wirelessly trans- mit biosignals such as electrocardiograms (ECG) for extended periods of times and with little discomfort for subjects [1]. Energy efficiency is of paramount importance for WBSNs, because it allows a higher wearability (by requiring a smaller battery) and/or an increased mean time between charges. In this paper, we investigate how noise-aware design choices can be made to minimize energy consumption in WBSNs. Noise is unavoidable in biosignals acquisitions, either due to external factors (in case of ECGs, muscle contractions and respiration of subjects [2]) or to the design of the front- end analog acquisition block. From this observation stems the opportunity to apply inexact strategies such as on-node lossy compression to minimize the bandwidth over the energy- hungry wireless link [3], as long as the output quality of the signal, when reconstructed on the receiver side, is not constrained by the performed compression. To maximize gains, ultra-low-power platforms must be employed to perform the above-mentioned Digital Signal Processing (DSP) techniques. To this end, we propose an under-designed (but extremely efficient) architecture that only guarantees the correctness of operations performed on the most significant data (i.e., data most affecting the final results), while allowing sporadic errors for the less significant data.
000198291 6531_ $$aCompressed sensing
000198291 6531_ $$aInexact Computing
000198291 6531_ $$aLow-power design
000198291 700__ $$0242929$$g191529$$aMamaghanian, Hossein
000198291 700__ $$0245615$$g217739$$aAnsaloni, Giovanni
000198291 700__ $$0242430$$g184147$$aAly, Mohamed Mostafa Sabry
000198291 700__ $$aAtienza Alonso, David$$g169199$$0240268
000198291 700__ $$aVandergheynst, Pierre$$g120906$$0240428
000198291 7112_ $$dMarch 17-19 , 2014$$cYork, United Kingdom$$aDesigning with Uncertainty - Opportunities & Challenges
000198291 8564_ $$uhttps://infoscience.epfl.ch/record/198291/files/DwU14.pdf$$zAbstract$$s397444$$yAbstract
000198291 909C0 $$xU10380$$0252392$$pLTS2
000198291 909C0 $$pESL$$xU11977$$0252050
000198291 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:198291
000198291 917Z8 $$x191529
000198291 937__ $$aEPFL-CONF-198291
000198291 973__ $$rNON-REVIEWED$$sPUBLISHED$$aEPFL
000198291 980__ $$aCONF