Title :
Low-power CMOS-based epileptic seizure onset detector
Author :
Salam, Muhammad Tariqus ; Sawan, Mohamad ; Hamoui, Anas ; Nguyen, Dang Khoa
Author_Institution :
Polystim Neurotechnologies Lab., Ecole Polytech. de Montreal, Montreal, QC, Canada
fDate :
June 28 2009-July 1 2009
Abstract :
In this paper, we present an implantable CMOS integrated device that automatically detects epileptic seizure onsets. By recognizing partial-onset seizures, it can improve epilepsy treatment. The circuit consists of a chopper stabilized preamplifier, comprising a modulator, an amplifier, a high-pass filter with low cut-off frequency, and a voltage span detector. The proposed low-power detector extracts seizure onset information from neural signals and monitors the signals over a time period to capture seizure events. Signals are analyzed and the mathematical model is validated in Matlab. Circuits are implemented in a CMOS 0.18-mum process. Total power consumption of the preamplifier and detector are 6.72 uW and 55.51 nW, respectively. Detection performance was verified using intracerebral electroencephalographic recordings from epileptic patients, and the detector accurately identified seizure onsets.
Keywords :
CMOS integrated circuits; biomedical electronics; mathematics computing; modulators; patient treatment; CMOS integrated device; Matlab; amplifier; chopper stabilized preamplifier; epilepsy treatment; epileptic seizure onset detector; high-pass filter; intracerebral electroencephalographic recordings; low cut-off frequency; mathematical model; modulator; partial-onset seizure recognition; voltage span detector; Choppers; Circuits; Cutoff frequency; Data mining; Detectors; Epilepsy; Event detection; Filters; Preamplifiers; Voltage;
Conference_Titel :
Circuits and Systems and TAISA Conference, 2009. NEWCAS-TAISA '09. Joint IEEE North-East Workshop on
Conference_Location :
Toulouse
Print_ISBN :
978-1-4244-4573-8
Electronic_ISBN :
978-1-4244-4574-5
DOI :
10.1109/NEWCAS.2009.5290426