000233732 001__ 233732
000233732 005__ 20190317000910.0
000233732 0247_ $$2doi$$a10.1109/ISCAS.2017.8050685
000233732 037__ $$aCONF
000233732 245__ $$aAn Efficient Electronic Measurement Interface for Memristive Biosensors
000233732 269__ $$a2017
000233732 260__ $$bIEEE$$c2017
000233732 336__ $$aConference Papers
000233732 520__ $$aReducing sensing time is one major concern in clinical diagnostics. In the present work, a robust measurement system is developed aiming at the faster and easier signal acquisition of memristive biosensors. Sensing chips consisting of nanofabricated silicon wires exhibiting memristive electrical response and metallic extension electrodes allowing an integrated measurement procedure are designed and fabricated. Furthermore, the electrical response of these particular nanofabricated structures is for the first time acquired using an embedded-system-based measurement front-end. The suggested prototype significantly simplifies the measurement procedure and provides conveniently the response signal of the devices. Such optimized co-design of memristive biosensors with electronic platforms hold great promise for PoC (point-of-care) applications.
000233732 6531_ $$amemristive devices
000233732 6531_ $$asilicon nanofabricated wires
000233732 6531_ $$aembedded systems
000233732 6531_ $$ametal electrodes
000233732 6531_ $$abiosensor
000233732 700__ $$aNaus, Sébastien
000233732 700__ $$0247383$$g234004$$aTzouvadaki, Ioulia
000233732 700__ $$aGaillardon, Pierre-Emmanuel
000233732 700__ $$aBiscontini, Armando
000233732 700__ $$0240269$$g167918$$aDe Micheli, Giovanni
000233732 700__ $$aCarrara, Sandro$$g182237$$0242413
000233732 7112_ $$dMay 28-31, 2017$$cBaltimore, Maryland, USA$$aIEEE International Symposium on Circuits and Systems (ISCAS)
000233732 773__ $$tProceedings of the IEEE International Symposium on Circuits and Systems (ISCAS)
000233732 8564_ $$uhttps://infoscience.epfl.ch/record/233732/files/08050685.pdf$$zn/a$$s787824$$yn/a
000233732 909C0 $$xU11140$$0252283$$pLSI1
000233732 909CO $$pIC$$ooai:infoscience.tind.io:233732$$qGLOBAL_SET$$pconf$$pSTI
000233732 917Z8 $$x112915
000233732 937__ $$aEPFL-CONF-233732
000233732 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000233732 980__ $$aCONF