DocumentCode
663111
Title
A fully wireless platform for correlating behavior and neural data from an implanted, neural recording device: Demonstration in a freely moving swine model
Author
Agha, Naubahar S. ; Komar, Jacob ; Yin, Mei ; Borton, D.A. ; Nurmikko, Arto
Author_Institution
Sch. of Eng., Brown Univ., Providence, RI, USA
fYear
2013
fDate
6-8 Nov. 2013
Firstpage
989
Lastpage
992
Abstract
An entirely wireless neural and behavior recording platform has been developed for the purpose of studying cortical circuits during behavior of a freely moving animal with minimal observer intrusion. Our platform consists of (a) a 100-element microelectrode, fully implantable, wireless, broadband neural recording device [1], and (b) a 2-channel, wireless, event tracking system, both of which simultaneously stream asynchronous data to a custom programmed FPGA (field-programmable gate array). All data is packetized and transmitted over Ethernet. The data are received by custom software (in MATLAB) which simultaneously animates neural data and behavioral data for the observer to draw correlations and witness patterns. This platform has been implemented in a 10-month old female Yucatan mini-pig swine model (with the chronic, wireless, neural implant for over 9 months), extracting broadband neural data recorded simultaneously with time stamped behavioral recordings.
Keywords
bioelectric potentials; brain; data communication; data recording; field programmable gate arrays; local area networks; medical signal processing; microelectrodes; neurophysiology; telemedicine; wireless channels; Ethernet; MATLAB software; broadband neural data extraction; broadband neural data recording; broadband neural data transmission; cortical circuits; event tracking system; field-programmable gate array; microelectrode; old female Yucatan minipig swine model; stream asynchronous data; time 10 month; time 9 month; wireless behavior recording platform; wireless broadband neural recording device implant; wireless channel; Animals; Broadband communication; Data mining; Graphical user interfaces; Synchronization; Wireless communication; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location
San Diego, CA
ISSN
1948-3546
Type
conf
DOI
10.1109/NER.2013.6696102
Filename
6696102
Link To Document