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 :
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