Open AccessVisual evoked potentials determine chronic signal quality in a stent-electrode endovascular neural interface
Author(s) -
Giulia Gerboni,
Sam E. John,
Gil S. Rind,
Stephen M. Ronayne,
Clive N. May,
T Oxley,
David B. Grayden,
Nicholas L. Opie,
Yan T. Wong
Publication year - 2018
Publication title -
biomedical physics and engineering express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.333
H-Index - 16
ISSN - 2057-1976
DOI - 10.1088/2057-1976/aad714
Subject(s) - brain–computer interface , interface (matter) , signal (programming language) , noise (video) , biomedical engineering , evoked potential , computer science , medicine , electrophysiology , signal to noise ratio (imaging) , electrode , quality (philosophy) , electrical impedance , materials science , electroencephalography , audiology , artificial intelligence , electrical engineering , physics , telecommunications , engineering , bubble , quantum mechanics , maximum bubble pressure method , psychiatry , parallel computing , image (mathematics) , programming language