NDLI: Sub-microwatt correlation integral processor for implantable closed-loop epileptic neuromodulator

Content Provider	IEEE Xplore Digital Library
Author	Yu-Hsin Chen Tung-Chien Chen Tsung-Hsueh Lee Liang-Gee Chen
Copyright Year	2010
Description	Author affiliation: Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan (Yu-Hsin Chen; Tung-Chien Chen; Tsung-Hsueh Lee; Liang-Gee Chen)
Abstract	Neuromodulation of the brain is an emerging therapy to control the epileptic seizure. The therapy can be improved with a closed-loop mechanism in which the electrical stimuli is activated in accordance with the seizure onset. In this paper, a correlation integral (CI) processor in a form of application specific integrated circuit is designed to estimate the brain complexity, chaoticity, after the EEG/ECoG sensors. Since the neural firing becomes more organized prior to the seizure, the intent is to drive the neuromodulator after the early detection of the seizure onset. With the simplified CI algorithm and channel-folded architecture, 0.14µW/channel power consumption is achieved in 90nm CMOS process to simultaneously extract chaoticity for 16 channels in a real time. The simulation results demonstrate a 98.23% and 97.81% of sensitivity and specificity for the classification of normal and epileptic brain rhythms.
Starting Page	2083
Ending Page	2086
File Size	577898
Page Count	4
File Format	PDF
ISBN	9781424453085
DOI	10.1109/ISCAS.2010.5537220
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-30
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Epilepsy Medical treatment Chaos Application specific integrated circuits Electroencephalography Energy consumption CMOS process Brain modeling Sensitivity and specificity Rhythm
Content Type	Text
Resource Type	Article

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