000257097 001__ 257097
000257097 005__ 20190317001032.0
000257097 037__ $$aCONF
000257097 245__ $$aAn area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems
000257097 260__ $$c2018
000257097 269__ $$a2018
000257097 336__ $$aConference Papers
000257097 520__ $$aA power and area effcient hardware encoding system tailored for wireless implantable applications is presented. Constant medical monitoring allowed by implantable devices is the most relevant alternative to current bulky monitoring systems, which, in case of severe mental diseases, require heavy surgery and long term hospitalization periods. In this work, the circuit design and the signal processing algorithm dovetail in order to allow real-time neuronal signal monitoring. Two main features must be met on the circuit level to facilitate the acceptance of the implant from the human body: small area and low power consumption. The presented work proposes a new compression scheme based on the Learning-Based Compressive Subsampling approach, which allows an area reduction with respect to recent published works, while allowing high signal reconstruction quality within low power requirements. The proposed method implements on-the-fly compression coeffcients generation, which does not require large static memories. This new fully digital architecture handles the data compression of each individual neuronal acquisition channel with an area of 200 x 190μ in 0:18 μm CMOS technology, and a power dissipation of only 1:15μW.
000257097 700__ $$0247325$$aAprile, Cosimo
000257097 700__ $$aWüthrich, Johannes
000257097 700__ $$aBaldassarre, Luca
000257097 700__ $$0240162$$aLeblebici, Yusuf
000257097 700__ $$0243957$$aCevher, Volkan
000257097 7112_ $$aACM International Conference on Computing Frontiers 2018$$cIschia, Italy$$dMay 8-10, 2018
000257097 8560_ $$fgosia.baltaian@epfl.ch
000257097 8564_ $$uhttps://infoscience.epfl.ch/record/257097/files/cf2018_submission.pdf$$s1058029$$yPostprint
000257097 909C0 $$xU12179$$pLIONS$$mvolkan.cevher@epfl.ch$$0252306
000257097 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.epfl.ch:257097
000257097 960__ $$agosia.baltaian@epfl.ch
000257097 961__ $$apierre.devaud@epfl.ch
000257097 973__ $$aEPFL$$rREVIEWED
000257097 980__ $$aCONF
000257097 981__ $$aoverwrite
000257097 999C0 $$pLSM$$myusuf.leblebici@epfl.ch$$0252051$$xU10325