DocumentCode
2469054
Title
A low-power implantable device for epileptic seizure detection and neurostimulation
Author
Salam, Muhammad Tariqus ; Nguyen, Dang Khoa ; Sawan, Mohamad
Author_Institution
Polystim Neurotechnologies Lab., Ecole Polytech. de Montrealx, QC, Canada
fYear
2010
fDate
3-5 Nov. 2010
Firstpage
154
Lastpage
157
Abstract
In this paper, we present the design of a low-power closed-loop neurostimulator (CLNS) as an adjunctive treatment for patients with refractory partial epilepsy. The CLNS combines epileptic seizure detection with simultaneous electrical stimulation feedback. The system amplifies the neural signal with adjustable gain, detects epileptic low-voltage fast-activity, and generates programmable stimulation currents. The implemented seizure detector is based on a detection algorithm validated in Matlab tools and was tested using intracerebral electroencephalographic (iEEG) recordings from a patient with drug-resistant epilepsy. The amplifier, epileptic-seizure detector and electric stimulator were implemented using CMOS 0.18-μm process. The iEEG were assessed by the proposed CMOS building blocks and the predefined seizure suppression biphasic electrical stimulations were administrated at 2 to 3 sec after electrographical seizure onsets. The simulated power consumption of the CLNS has showed that the system could run on a button cell battery for more than 8 years.
Keywords
CMOS integrated circuits; bioelectric potentials; closed loop systems; electroencephalography; patient treatment; power consumption; prosthetics; CMOS building blocks; Matlab tools; cell battery; detection algorithm; drug-resistant epilepsy; electric stimulator; epileptic seizure detection; epileptic-seizure drug-resistant epilepsy; intracerebral electroencephalographic recording; low-power closed-loop neurostimulator; low-power implantable device; neural signal; patient treatment; programmable stimulation currents; refractory partial epilepsy; seizure suppression biphasic electrical stimulation; simulated power consumption; simultaneous electrical stimulation feedback; Detection algorithms; Detectors; Electrical stimulation; Electrodes; Epilepsy; Generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE
Conference_Location
Paphos
Print_ISBN
978-1-4244-7269-7
Electronic_ISBN
978-1-4244-7268-0
Type
conf
DOI
10.1109/BIOCAS.2010.5709594
Filename
5709594
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