Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/118886
DC Field | Value | |
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dc.title | Design of Integrated Neural/Modular Stimulators | |
dc.contributor.author | LIU XU | |
dc.date.accessioned | 2015-02-28T18:01:00Z | |
dc.date.available | 2015-02-28T18:01:00Z | |
dc.date.issued | 2014-07-15 | |
dc.identifier.citation | LIU XU (2014-07-15). Design of Integrated Neural/Modular Stimulators. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/118886 | |
dc.description.abstract | This thesis focuses on the power efficiency improvement of the neural/muscular stimulator and the cancellation of the artifacts introduced by the stimulation. A current-mode neural/muscular stimulator with an exponentially decaying stimulation current is first described. A simple exponentially decaying current generator is proposed based on Taylor series approximation and implemented in a 16-channel prototype stimulator IC. The prototype IC is fabricated in a 0.18-?m CMOS process and the measured results show that maximum stimulation power efficiency of 95.9% can be achieved at the output stage of the stimulator. In the second part of the thesis, an artifact-suppression technique based on a referenced and tuned push-pull stimulation (RTPPS) scheme with a tri-polar electrode is presented. A prototype recording and stimulation system is designed to demonstrate the proposed artifact-suppression. The amplitude of the measured stimulation artifact is suppressed to only 10%-20% of the neural spikes to be recorded in the animal experiment. | |
dc.language.iso | en | |
dc.subject | neural stimulator,power efficiency,artifact cancellation,integrated circuit, closed-loop system,exponential current | |
dc.type | Thesis | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.contributor.supervisor | XU YONG-PING | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Ph.D Theses (Open) |
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File | Description | Size | Format | Access Settings | Version | |
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LiuXu.pdf | 3.34 MB | Adobe PDF | OPEN | None | View/Download |
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