학술논문
ElectroCorticoGraphy (ECoG) acquisition exploiting signal characteristics for reduced power
Document Type
Conference
Author
Source
2011 IEEE Biomedical Circuits and Systems Conference (BioCAS) Biomedical Circuits and Systems Conference (BioCAS), 2011 IEEE. :37-40 Nov, 2011
Subject
Language
ISSN
2163-4025
Abstract
We present two analog front-end circuits for acquiring ElectroCorticoGraphic (ECoG) signals from the brain for Brain-Computer Interfaces (BCIs). They exploit a priori knowledge of ECoG characteristics to reduce resolution requirements for digitization and transmission and thus power. The first saves 2 bits with a power overhead of 127 nW; the second theoretically saves up to 8.3 bits with overhead of 0.85 µW. Both are in 130 nm CMOS using a 1.2 V supply.