Document Detail


Toward energy efficient neural interfaces.
MedLine Citation:
PMID:  19709960     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This letter presents progress toward an energy efficient neural data acquisition transponder for brain-computer interfaces. The transponder utilizes a four-channel time-multiplexed analog front-end and an energy efficient short-range backscattering RF link to transmit digitized wireless data. In addition, a low-complexity autonomous and adaptive digital neural signal processor is proposed to minimize wireless bandwidth and overall power dissipation.
Authors:
Chung-Ching Peng; Zhiming Xiao; Rizwan Bashirullah
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural     Date:  2009-08-25
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  56     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2009 Nov 
Date Detail:
Created Date:  2009-11-03     Completed Date:  2010-01-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2697-700     Citation Subset:  IM    
Affiliation:
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA.
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MeSH Terms
Descriptor/Qualifier:
Action Potentials / physiology*
Analog-Digital Conversion*
Communication Aids for Disabled*
Electrodes, Implanted*
Electroencephalography / instrumentation*
Equipment Design
Equipment Failure Analysis
Signal Processing, Computer-Assisted / instrumentation*
Telemetry / instrumentation*
Grant Support
ID/Acronym/Agency:
R01 NS053561-01A2/NS/NINDS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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