DocumentCode :
3114084
Title :
Hardware Considerations of a Spatial Filter for Decorrelating High-density Multielectrode Neural Recordings
Author :
Thomson, Kyle E. ; Oweiss, Karim G.
Author_Institution :
Dept. of Electr. & Comput. Sci., Michigan State Univ., East Lansing, MI
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
1244
Lastpage :
1247
Abstract :
High density implantable microelectrode arrays record large amounts of highly correlated data, which causes large strains on limited bandwidth telemetry systems. Previous work has shown that the use of a spatial filter can significantly reduce the number of channels that must be transmitted to adequately represent the data. However, the limitations on power and size for an implantable neuroprosthetic device impose significant limitations on the computational complexity of the spatial filter. We assess the performance of the floating point operations of spatial filtering and show that it can be approximated to integers with negligible losses to signal fidelity, thus reducing the computational complexity
Keywords :
bioelectric phenomena; biomedical electrodes; biomedical measurement; computational complexity; decorrelation; medical signal processing; microelectrodes; neurophysiology; prosthetics; computational complexity; decorrelation; floating point operations; high-density neural recordings; implantable microelectrode arrays; integer approximation; neuroprosthetic device; signal fidelity; spatial filter; Bandwidth; Capacitive sensors; Computational complexity; Decorrelation; Hardware; Microelectrodes; Neural prosthesis; Performance loss; Spatial filters; Telemetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.259867
Filename :
4461984
Link To Document :
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