Networked and Embedded Systems Laboratory

Tryear

Trmonth

Trnumber

Title

Abstract

Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this paper, we propose using a combination of on-chip detection of action potentials (“spikes”) and compressive sensing (CS) techniques to reduce the power consumption of the neural recording system by reducing the power required for wireless transmission. We empirically verify that spikes are compressible in the wavelet domain and show that spikes from different neurons acquired from the same electrode have subtly different sparsity patterns or supports. We exploit the latter fact to further enhance the sparsity by incorporating a union of these supports learned over time into the spike recovery procedure. We show, using extracellular recordings from human subjects, that this mechanism improves the SNDR of the recovered spikes over conventional basis pursuit recovery by up to 9.5 dB (6 dB mean) for the same number of CS measurements. Though the compression ratio in our system is contingent on the spike rate at the electrode, for the datasets considered here, the mean ratio achieved for 20-dB SNDR recovery is improved from 26:1 to 43:1 using the learned union of supports.

<hr>
<a href=/fw/zainul/bsn2011_code.tgz>Code</a> (with dependent libraries - 28MB)
<br>
<a href=/fw/zainul/bsn2011_data.tgz>Data</a> (unprocessed - 47MB)
<hr>

<div style="width:425px" id="__ss_9074047"> <strong style="display:block;margin:12px 0 4px"><a href="http://www.slideshare.net/zainulcharbiwala/bsn2011" title="Compressively Sensing Action Potentials (Neural Spikes) - Presented at BSN 2011" target="_blank">Compressively Sensing Action Potentials (Neural Spikes) - Presented at BSN 2011</a></strong> <iframe src="http://www.slideshare.net/slideshow/embed_code/9074047" width="425" height="355" frameborder="0" marginwidth="0" marginheight="0" scrolling="no"></iframe> <div style="padding:5px 0 12px"> View more <a href="http://www.slideshare.net/" target="_blank">presentations</a> from <a href="http://www.slideshare.net/zainulcharbiwala" target="_blank">Zainul Charbiwala</a> </div> </div>

Filename

File

Urlpdfpaper

Urlsrcpaper

Urlpdfpresentation

Urlsrcpresentation

Urlavmedia

Urldoi

Urlpublisher

Urlgooglescholar

Urlciteseer

Pubin

Pubvol

Pubnum

Pubnum end

Pubpagefirst

Pubpagelast

Pubpagecount

Pubdate

Pubdate end

Pubplace

Publisher

Ispublic

Islabdocument

Miscattributes

Document category

Main research area

Editing document