@inproceedings{75a835b3564948219c802cad08b8f77f,
title = "ElectroCorticoGraphy (ECoG) acquisition exploiting signal characteristics for reduced power",
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.",
author = "Apurva Mishra and Fan Zhang and Otis, {Brian P.}",
year = "2011",
month = dec,
day = "1",
doi = "10.1109/BioCAS.2011.6107721",
language = "English (US)",
isbn = "9781457714696",
series = "2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011",
pages = "37--40",
booktitle = "2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011",
note = "2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011 ; Conference date: 10-11-2011 Through 12-11-2011",
}