dc.contributor.authorSukumaran, Dinup
dc.contributor.authorEnyi, Yao
dc.contributor.authorShuo, Sun
dc.contributor.authorBasu, Arindam
dc.contributor.authorZhao, Dongning
dc.contributor.authorDauwels, Justin
dc.identifier.citationSukumaran, D., Enyi, Y., Shuo, S., Basu, A., Zhao, D., & Dauwels, J. (2012). A low-power, reconfigurable smart sensor system for EEG acquisition and classification. 2012 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), pp.9-12.
dc.description.abstractWe describe a smart sensor for EEG acquisition comprising a programmable gain low-noise amplifier followed by an integrated feature extraction and classification circuits. The feature extraction block comprises a bank of four band-pass filters followed by a wide dynamic range peak detector. The output of the peak detector is fed into a spiking neural network implementing the extreme learning machine (ELM) for classification. The advantage of ELM is that it has been shown to attain comparable performance to support vector machine (SVM) but with fewer computational nodes. We describe simulation results of each block designed in 0.35 um CMOS and demonstrate system level performance by using this to detect seizure onset in epileptic patients. The system can be reconfigured for other applications like speech classification.en_US
dc.rights© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/APCCAS.2012.6418958].
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titleA low-power, reconfigurable smart sensor system for EEG acquisition and classificationen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE Asia Pacific Conference on Circuits and Systems (2012 : Kaohsiung, Taiwan)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionAccepted version

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