ElectroCorticoGraphy (ECoG) acquisition exploiting signal characteristics for reduced power

Apurva Mishra, Fan Zhang, Brian P. Otis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011
Pages37-40
Number of pages4
DOIs
StatePublished - Dec 1 2011
Event2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011 - San Diego, CA, United States
Duration: Nov 10 2011Nov 12 2011

Publication series

Name2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011

Other

Other2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011
CountryUnited States
CitySan Diego, CA
Period11/10/1111/12/11

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