Please use this identifier to cite or link to this item: https://doi.org/10.3390/s150819466
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dc.titleA high performance delta-sigma modulator for neurosensing
dc.contributor.authorXu J.
dc.contributor.authorZhao M.
dc.contributor.authorWu X.
dc.contributor.authorIslam M.K.
dc.contributor.authorYang Z.
dc.date.accessioned2020-09-09T06:46:19Z
dc.date.available2020-09-09T06:46:19Z
dc.date.issued2015
dc.identifier.citationXu J., Zhao M., Wu X., Islam M.K., Yang Z. (2015). A high performance delta-sigma modulator for neurosensing. Sensors (Switzerland) 15 (8) : 19466-19486. ScholarBank@NUS Repository. https://doi.org/10.3390/s150819466
dc.identifier.issn1424-8220
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/175285
dc.description.abstractRecorded neural data are frequently corrupted by large amplitude artifacts that are triggered by a variety of sources, such as subject movements, organ motions, electromagnetic interferences and discharges at the electrode surface. To prevent the system from saturating and the electronics from malfunctioning due to these large artifacts, a wide dynamic range for data acquisition is demanded, which is quite challenging to achieve and would require excessive circuit area and power for implementation. In this paper, we present a high performance Delta-Sigma modulator along with several design techniques and enabling blocks to reduce circuit area and power. The modulator was fabricated in a 0.18-µm CMOS process. Powered by a 1.0-V supply, the chip can achieve an 85-dB peak signal-to-noise-and-distortion ratio (SNDR) and an 87-dB dynamic range when integrated over a 10-kHz bandwidth. The total power consumption of the modulator is 13 µW, which corresponds to a figure-of-merit (FOM) of 45 fJ/conversion step. These competitive circuit specifications make this design a good candidate for building high precision neurosensors. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
dc.publisherMDPI AG
dc.sourceUnpaywall 20200831
dc.subjectAnalog integrated circuits
dc.subjectCMOS integrated circuits
dc.subjectData acquisition
dc.subjectDelta sigma modulation
dc.subjectElectric discharges
dc.subjectElectromagnetic pulse
dc.subjectOperational amplifiers
dc.subjectSignal to noise ratio
dc.subjectSurface discharges
dc.subjectDelta sigma modulator
dc.subjectDynamic range
dc.subjectQuantizers
dc.subjectSensor interface
dc.subjectSwitched op-amp
dc.subjectModulators
dc.subjectaction potential
dc.subjectanalog digital converter
dc.subjectanimal
dc.subjectcomputer simulation
dc.subjectdevices
dc.subjectelectricity
dc.subjectepilepsy
dc.subjecthuman
dc.subjectneuroscience
dc.subjectphysiologic monitoring
dc.subjectphysiology
dc.subjectprocedures
dc.subjectrat
dc.subjectsemiconductor
dc.subjectsignal noise ratio
dc.subjectwireless communication
dc.subjectAction Potentials
dc.subjectAnalog-Digital Conversion
dc.subjectAnimals
dc.subjectComputer Simulation
dc.subjectElectricity
dc.subjectEpilepsy
dc.subjectHumans
dc.subjectMonitoring, Physiologic
dc.subjectNeurosciences
dc.subjectRats
dc.subjectSemiconductors
dc.subjectSignal-To-Noise Ratio
dc.subjectWireless Technology
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.3390/s150819466
dc.description.sourcetitleSensors (Switzerland)
dc.description.volume15
dc.description.issue8
dc.description.page19466-19486
dc.published.statePublished
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