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dc.contributor.authorFahri, Juhi
dc.contributor.authorAnsari, Mohammad Samar
dc.date.accessioned2020-02-05T10:17:10Z
dc.date.available2020-02-05T10:17:10Z
dc.date.copyright2019
dc.date.issued2019-01-09
dc.identifier.citationFahri, J., Ansari, M.S.(2019) Memristor-based tunable analog filter for physiological signal acquisition for electrooculography. In book: Smart Technologies and Innovation for a Sustainable Future. Proceedings of the 1st American University in the Emirates International Research Conference — Dubai, UAE 2017. pp.237-242. doi: 10.1007/978-3-030-01659-3_27en_US
dc.identifier.isbn9783030016593
dc.identifier.otherSoftware Research Insititute AIT - Conferencesen_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/2984
dc.description.abstractIn this paper we demonstrate that Memristors can be used in conjunction with CMOS to implement a continuous-time tunable analog bandpass filter for use in the area of biomedical signal acquisition. The idea here is to implement a single band pass filter which can provide frequency tuning between EEG, EOG and ECG signals. Frequency tuning is achieved by varying the resistance of the Memristor (Memristance). The proposed circuit promises lower power dissipation and smaller-sized implementations than CMOS counterparts. This circuit is capable of filtering out biomedical signals (specifically Electrooculography (EOG) signals) and the same is demonstrated for the frequency range of 6–16 Hz. The power consumption of the band pass filter designed was found to be 127 nW at 0.25 V supply. The HSPICE simulation results were found in accordance to the qualitative discussion.en_US
dc.formatPDFen_US
dc.language.isoenen_US
dc.publisherSpringerLinken_US
dc.relation.ispartofSmart technologies and innovation for a sustainable future.en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ie/*
dc.subjectMemristoren_US
dc.subjectBandpass filteren_US
dc.subjectElectrooculographyen_US
dc.titleMemristor-based tunable analog filter for physiological signal acquisition for electrooculography.en_US
dc.typeBook chapteren_US
dc.description.peerreviewyesen_US
dc.identifier.conferenceSmart Technologies and Innovation for a Sustainable Future Proceedings of the 1st American University in the Emirates International Research Conference — Dubai, UAE 2017 Editors: Al-Masri, Ahmed, Curran, Kevin.
dc.identifier.doidoi: 10.1007/978-3-030-01659-3_27
dc.identifier.orcidhttps://orcid.org/0000-0002-4368-0478
dc.rights.accessOpen Accessen_US
dc.subject.departmentSoftware Research Institute AITen_US


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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland