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
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;
Conference_Titel :
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5760-9
DOI :
10.1109/ISCAS.2013.6571981