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dc.contributor.authorHabibzadeh Tonekabony Shad, Erwin
dc.contributor.authorMoeinfard, Tania
dc.contributor.authorMolinas Cabrera, Maria Marta
dc.contributor.authorYtterdal, Trond
dc.date.accessioned2021-01-26T08:56:21Z
dc.date.available2021-01-26T08:56:21Z
dc.date.created2020-11-25T11:18:07Z
dc.date.issued2020
dc.identifier.isbn978-1-7281-9226-0
dc.identifier.urihttps://hdl.handle.net/11250/2724689
dc.description.abstractIn this article, a capacitively-coupled neural amplifier based on a new high gain low-noise amplifier is proposed. By utilizing a cross-coupled structure, the open-loop gain of the amplifier is boosted. This modification leads to higher closed-loop gain of the amplifier only with one-stage and reduces the gain error. Besides, the input impedance of the amplifier is boosted by a factor of 100 at 100 Hz using a power-efficient technique. A detail analysis to model the high frequency behaviour of input impedance boosting technique is carried out to show and formulate a limitation. The amplifier is designed and simulated in a commercially available 0.18 μm CMOS technology. The Bandwidth of the amplifier is from 0.5 to 10 kHz and the midband gain is 52 dB. The total input-referred noise is 3.26 μV rms in the bandwidth. The noise and power efficiency factor of proposed amplifier is 1.4 and 1.7, respectively. The superior performance of the amplifier is achieved by increasing the input capacitor value and exploiting noise efficient amplifier. Furthermore, to show the robustness of the proposed structure, a Monte Carlo simulation is carried out for process variation and mismatch. The mean value of the input impedance and CMRR are 10.5 GΩ and 90 dB, respectively. Finally, the total area consumption without pads is 0.03 mm 2 .en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2020 IEEE Nordic Circuits and Systems Conference (NorCAS)
dc.titleA Power Efficient, High Gain and High Input Impedance Capacitively-coupled Neural Amplifieren_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.identifier.doi10.1109/NorCAS51424.2020.9265135
dc.identifier.cristin1852127
dc.description.localcode© 2020 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.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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