000175929 001__ 175929
000175929 005__ 20181203022651.0
000175929 0247_ $$2doi$$a10.1016/j.medengphy.2011.06.001
000175929 02470 $$2ISI$$a000297876200010
000175929 037__ $$aARTICLE
000175929 245__ $$aModelization of a self-opening peripheral neural interface: A feasibility study
000175929 269__ $$a2011
000175929 260__ $$c2011
000175929 336__ $$aJournal Articles
000175929 520__ $$aIn this paper a self-opening intrafascicular neural interface (SELINE) has been modeled using both a theoretical approach and a Finite Element (FE) analysis. This innovative self opening interface has several potential advantages such as: higher selectivity due to its three-dimensional structure and efficient anchorage system. Mechanical, structural and micro-technological issues have been considered to obtain an effective design of the electrode, as a feasibility study of the self-opening approach. A simple framework has been provided to model the insertion and partial retraction into peripheral nerves, resulting in the opening of wings.
000175929 6531_ $$aNeural interface
000175929 6531_ $$aPeripheral nerve
000175929 6531_ $$aInsertion procedure
000175929 6531_ $$aStructural and FE analysis
000175929 6531_ $$aAsymmetric kinematics
000175929 6531_ $$aPolyimide Microelectrode Array
000175929 6531_ $$aIntrafascicular Electrodes
000175929 6531_ $$aMechanical-Properties
000175929 6531_ $$aNerve
000175929 6531_ $$aBiocompatibility
000175929 6531_ $$aInformation
000175929 6531_ $$aRecordings
000175929 6531_ $$aRat
000175929 700__ $$uScuola Super Sant Anna, Biorobot Inst, I-56127 Pisa, Italy$$aCutrone, Annarita
000175929 700__ $$uScuola Super Sant Anna, Biorobot Inst, I-56127 Pisa, Italy$$aSergi, Pier Nicola
000175929 700__ $$uScuola Super Sant Anna, Biorobot Inst, I-56127 Pisa, Italy$$aBossi, Silvia
000175929 700__ $$g218366$$uScuola Super Sant Anna, Biorobot Inst, I-56127 Pisa, Italy$$aMicera, Silvestro$$0246201
000175929 773__ $$j33$$tMedical Engineering & Physics$$q1254-1261
000175929 909C0 $$xU12522$$0252419$$pTNE
000175929 909C0 $$xU12599$$0252517$$pCNP
000175929 909CO $$pSTI$$particle$$ooai:infoscience.tind.io:175929
000175929 937__ $$aEPFL-ARTICLE-175929
000175929 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000175929 980__ $$aARTICLE