DocumentCode :
1257185
Title :
A Novel Low-Power-Implantable Epileptic Seizure-Onset Detector
Author :
Salam, M.T. ; Sawan, M. ; Dang Khoa Nguyen
Author_Institution :
Polystim Neurotechnologies Lab., Ecole Polytech. de Montreal, Montreal, QC, Canada
Volume :
5
Issue :
6
fYear :
2011
Firstpage :
568
Lastpage :
578
Abstract :
A novel implantable low-power integrated circuit is proposed for real-time epileptic seizure detection. The presented chip is part of an epilepsy prosthesis device that triggers focal treatment to disrupt seizure progression. The proposed chip integrates a front-end preamplifier, voltage-level detectors, digital demodulators, and a high-frequency detector. The preamplifier uses a new chopper stabilizer topology that reduces instrumentation low-frequency and ripple noises by modulating the signal in the analog domain and demodulating it in the digital domain. Moreover, each voltage-level detector consists of an ultra-low-power comparator with an adjustable threshold voltage. The digitally integrated high-frequency detector is tunable to recognize the high-frequency activities for the unique detection of seizure patterns specific to each patient. The digitally controlled circuits perform accurate seizure detection. A mathematical model of the proposed seizure detection algorithm was validated in Matlab and circuits were implemented in a 2 mm2 chip using the CMOS 0.18- μm process. The proposed detector was tested by using intracerebral electroencephalography (icEEG) recordings from seven patients with drug-resistant epilepsy. The seizure signals were assessed by the proposed detector and the average seizure detection delay was 13.5 s, well before the onset of clinical manifestations. The measured total power consumption of the detector is 51 μW.
Keywords :
CMOS integrated circuits; biomedical electronics; electroencephalography; low-power electronics; mathematics computing; medical disorders; medical signal detection; medical signal processing; neurophysiology; preamplifiers; 0.18-μm CMOS process; EEG; Matlab; chopper stabilizer topology; digital demodulators; digitally integrated high-frequency detector; drug-resistant epilepsy; epilepsy prosthesis device; focal treatment; front-end preamplifier; implantable low-power integrated circuit; instrumentation low-frequency reduction; intracerebral electroencephalography; mathematical model; power 51 muW; real-time epileptic seizure detection; ripple noise reduction; threshold voltage; ultralow-power comparator; voltage-level detectors; Algorithm design and analysis; CMOS technology; Electroencephalography; Epilepsy; Implantable biomedical devices; Low power electronics; Microelectronics; Threshold voltage; Algorithm; epilepsy; low noise; low power; microelectronics; seizure detector;
fLanguage :
English
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4545
Type :
jour
DOI :
10.1109/TBCAS.2011.2157153
Filename :
5929491
Link To Document :
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