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An Energy-Efficient Wide-Supply-Range Stimulation System in Standard CMOS Process

Title
An Energy-Efficient Wide-Supply-Range Stimulation System in Standard CMOS Process
Author(s)
Jeongyoon Wie
DGIST Authors
Jeongyoon WieJunghyup LeeGain Kim
Advisor
이정협
Co-Advisor(s)
Gain Kim
Issued Date
2023
Awarded Date
2023-02-01
Type
Thesis
Description
Nerual stimulator
Table Of Contents
I. Introduction 1
1.1 Neuromodulation 1
1.2 Biologics of Action Potential 2
II. Design Consideration 4
2.1 Advanced Closed-Loop Stimulation System 4
2.1.1 Wide voltage compliance with electrode-electrolyte impedance 4
2.1.2 Recorder and stimulator interface 5
2.2 Implantation Risk Reduction 7
2.2.1 Stimulation Method 7
2.2.2 Bi-phasic stimulus with H-bridge structure 8
2.2.2 Passive charge balancer 9
2.3 Energy Efficiency 10
2.3.1 Impedance-adaption: supply voltage variation robustness 10
2.3.2 Interphase delay and arbitrary waveform 11
2.4 Design Consideration Conclusion 12
III. Design of Neural Stimulator 13
3.1 Overall Architecture of the Proposed Neural Stimulator 13
3.2 Digital Block 14
3.3 Current DACs 16
3.4 Current Driver for Higher Compliance Voltage 17
3.4.1 Conventional H-bridge current driver 17
3.4.2 Proposed H-bridge current driver 19
3.5 Current Driver Controller 20
3.5.1 Calculation of switch turn-on voltage 20
3.5.2 Conventional level shifter 21
3.5.3 Proposed high voltage level shifter for PMOS switching 22
3.6 Charge Balancer: Implantation Risk Reduction 23
3.7 System Complexity Reduction 24
3.7.1 Drop-voltage reference and HV analog buffer 24
IV. Simulation Results 27
4.1 Drop-Voltage Reference: PVT Robustness 27
4.2 High Voltage Analog Buffer 28
V. Measurement of Neural Stimulator 29
VI. Conclusion 34
VII. Reference 35
URI
http://hdl.handle.net/20.500.11750/45758

http://dgist.dcollection.net/common/orgView/200000656806
DOI
10.22677/THESIS.200000656806
Degree
Master
Department
Department of Electrical Engineering and Computer Science
Publisher
DGIST
Related Researcher
  • 이정협 Lee, Junghyup
  • Research Interests Analog and Mixed Signal IC Design; Smart Sensor Systems; Bio-medical ICs and Body Channel Communication Systems
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Department of Electrical Engineering and Computer Science Theses Master

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