DocumentCode
626658
Title
Similarity-index early seizure detector VLSI architecture
Author
Vidwans, Abhinav ; Abdelhalim, Karim ; Genov, Roman
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear
2013
fDate
19-23 May 2013
Firstpage
853
Lastpage
856
Abstract
A low power VLSI architecture implementing an algorithm for early seizure detection in epileptic patients using intracranial or scalp EEG data is proposed. The algorithm tested over more than 40 hours of recording from standard databases achieves a best-case result of 100% sensitivity at a false positive rate of 0.2 per hour. The algorithm is programmed on an FPGA and was experimentally validated along with a neural recording SoC chip to demonstrate a real-time seizure detection microsystem.
Keywords
VLSI; electroencephalography; field programmable gate arrays; low-power electronics; medical signal processing; seizure; system-on-chip; EEG; FPGA; SoC chip; epileptic patients; low power VLSI architecture; real-time seizure detection microsystem; similarity-index early seizure detector VLSI architecture; Computer architecture; Detectors; Electroencephalography; Field programmable gate arrays; Indexes; System-on-chip; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location
Beijing
ISSN
0271-4302
Print_ISBN
978-1-4673-5760-9
Type
conf
DOI
10.1109/ISCAS.2013.6571981
Filename
6571981
Link To Document