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IEEE Trans Biomed Eng. 2009 Nov;56(11 Pt 2):2697-700. doi: 10.1109/TBME.2009.2029704. Epub 2009 Aug 25.

Toward energy efficient neural interfaces.

Author information

1
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA.

Abstract

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.

PMID:
19709960
DOI:
10.1109/TBME.2009.2029704
[Indexed for MEDLINE]

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