DocumentCode :
2495163
Title :
A low-power high-sensitivity CMOS mixed-signal seizure-onset detector
Author :
Safi-Harb, M. ; Salam, M. Tariqus ; Mirabbasi, S. ; Nguyen, D.K. ; Sawan, M.
Author_Institution :
Polystim Neurotechnologies Lab., Ecole Polytech. de Montreal, Montreal, QC, Canada
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
5847
Lastpage :
5850
Abstract :
In this paper, we present a new seizure detection algorithm and the associated CMOS circuitry implementation. The proposed low-power seizure detector is a good candidate for an implantable epilepsy prosthesis. The device is designed for patient-specific seizure detection with a one variable parameter. The parameter value is extracted from a single seizure that is subsequently excluded from the validation phase. A two-path system is also proposed to minimize the detection delay. The algorithm is first validated using MATLAB® tools and then implemented and validated using circuits designed in a standard 0.18-μm CMOS process with a total power dissipation of 7.08 μW. A total of 13 seizures from two drug-resistant epileptic patients are assessed using the proposed algorithm and resulted in 100% sensitivity and a mean detection delay of 9.7 s after electrical onset.
Keywords :
CMOS integrated circuits; bioelectric phenomena; biomedical electronics; drugs; integrated circuit design; low-power electronics; medical disorders; mixed analogue-digital integrated circuits; CMOS circuitry implementation; MATLAB tools; detection delay; drug-resistant epileptic patients; electrical onset; implantable epilepsy prosthesis; low-power high-sensitivity CMOS mixed-signal seizure-onset detector; patient-specific seizure detection; power 7.08 muW; power dissipation; seizure detection algorithm; size 0.18 mum; standard CMOS process; Algorithm design and analysis; CMOS integrated circuits; Delay; Detectors; Epilepsy; Hardware; Radiation detectors; Adult; Algorithms; Diagnosis, Computer-Assisted; Electric Power Supplies; Electroencephalography; Equipment Design; Equipment Failure Analysis; Humans; Reproducibility of Results; Seizures; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Transistors, Electronic; Young Adult;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091446
Filename :
6091446
Link To Document :
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