Live demonstration: A closed loop Compressive Sensing neural recording system

Author

Jie Zhang ; Tao Xiong ; Mitra, S. ; Yuanming Suo ; Tran, T.D. ; Firat Yazicioglu, R. ; Etienne-Cummings, R.

Author_Institution

Johns Hopkins Univ., Baltimore, MD, USA

fYear

2014

fDate

22-24 Oct. 2014

Firstpage

170

Lastpage

170

Abstract

A complete neural recording ASIC based on Compressive Sensing (CS) is demonstrated. Implemented using efficient digital circuit, this CS technique is able to achieve 10 times data compression while consuming only 0.83uW (@0.53VDD) additional digital power per electrode. Since CS performance is strongly signal dependent, the ASIC has been tested with standard public database. The characteristic spikes and inter-spike data can be recovered while guarantee >95% spike classification success rate. The complete signal processing circuit consumes <;16uW/electrode.

Keywords

application specific integrated circuits; biomedical electronics; closed loop systems; compressed sensing; data compression; digital circuits; medical signal processing; neurophysiology; CS technique; closed loop compressive sensing neural recording system; complete neural recording ASIC; data compression; digital circuit; live demonstration; power 0.83 muW; signal processing circuit; standard public database; Application specific integrated circuits; Compressed sensing; Dictionaries; Electrodes; Shape; Signal processing algorithms; Standards;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE

Conference_Location

Lausanne

Type

conf

DOI

10.1109/BioCAS.2014.6981673

Filename

6981673