Validation of chronic implantable neural sensing technology using electrocorticographic (ECoG) based brain machine interfaces

Pedram Afshar, Daniel Moran, Adam Rouse, Xuan Wei, Tim Denison

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper describes the use of an electrocorticographic (ECoG) based brain machine interface (BMI) as a validation tool for chronic, embedded neural sensing device. This device is designed for basic science and clinical research in neurological diseases. Using the device in a BMI application allows the comparison of quantifiable validation metrics against off-the-shelf sensing methods, and its signals represent the types of signals expected in the clinical disease state.

Original languageEnglish
Title of host publication2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
Pages704-707
Number of pages4
DOIs
StatePublished - 2011
Event2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011 - Cancun, Mexico
Duration: Apr 27 2011May 1 2011

Publication series

Name2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011

Conference

Conference2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
Country/TerritoryMexico
CityCancun
Period04/27/1105/1/11

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