Title :
Sub-microwatt correlation integral processor for implantable closed-loop epileptic neuromodulator
Author :
Chen, Yu-Hsin ; Chen, Tung-Chien ; Lee, Tsung-Hsueh ; Chen, Liang-Gee
Author_Institution :
Grad. Inst. of Electron. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
May 30 2010-June 2 2010
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.
Keywords :
closed loop systems; correlation methods; electroencephalography; medical signal detection; microprocessor chips; neurophysiology; CMOS process; ECoG sensor; EEG sensor; brain complexity; channel folded architecture; closed loop epileptic neuromodulator; epileptic brain rhythm; integrated circuit; neural firing; power consumption; size 90 nm; submicrowatt correlation integral processor; Application specific integrated circuits; Brain modeling; CMOS process; Chaos; Electroencephalography; Energy consumption; Epilepsy; Medical treatment; Rhythm; Sensitivity and specificity;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537220