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dc.contributor.advisorJohnson, Louis G.
dc.contributor.authorYuan, Sitong
dc.date.accessioned2013-12-10T18:05:53Z
dc.date.available2013-12-10T18:05:53Z
dc.date.issued2010-05
dc.identifier.urihttps://hdl.handle.net/11244/7882
dc.description.abstractScope and Method of Study: The scope is to develop a tunable low power fully integrated band pass filter and a low power second order sigma-delta ADC modulator for implantable neural signal amplification and digitization applications, with subthreshold circuit design techniques in different CMOS processes. Since biopotentials usually contain low frequency components, the neural filters in this project have to be able to achieve large and predictable time constant for implantable applications. Voltage biased pseudo-resistors are vulnerable to process variations and circuit imperfections, and hence not suitable for implantable applications. A current biased pseudo-resistor is implemented in the neural filters in this work to set the cutoff frequency, and a Taylor series is used to study its linearity.
dc.description.abstractFindings and Conclusions: The filters with proposed current biased pseudo-resistors were fabricated in two different CMOS processes and tested. The test results verify that the filters with current biased pseudo-resistors are tunable, and not vulnerable to process variations and circuit imperfections. The filters with current biased pseudo-resistors meet the design requirements of fully integrated, implantable applications. The sigma-delta ADC modulator was designed and simulated in a half micron SOS CMOS process. The simulation results of the ADC confirm the possibility of an ultra low power ADC for neural signal recording applications.
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dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleUltra low power amplification and digitization system for neural signal recording applications
dc.contributor.committeeMemberHutchens, Chris
dc.contributor.committeeMemberSohoni, Sohum Ashok
dc.contributor.committeeMemberPark, Nohpill
osu.filenameYuan_okstate_0664D_10832
osu.accesstypeOpen Access
dc.type.genreDissertation
dc.type.materialText
dc.subject.keywordsbiomedical electronics
dc.subject.keywordsCMOS integrated circuits
dc.subject.keywordsfrequency response
dc.subject.keywordsneurophysiology
dc.subject.keywordsprosthetics
dc.subject.keywordsresistors
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorOklahoma State University


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