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Development of ECoG electrode array integrated with wireless recording system
- Title
- Development of ECoG electrode array integrated with wireless recording system
- Translated Title
- 무선 기록 시스템이 통합된 피질뇌파검사(ECoG) 전극 배열의 개발
- Authors
- Daun Hong
- DGIST Authors
- Daun Hong; Sohee Kim; Ji-Woong Choi
- Advisor(s)
- 김소희
- Co-Advisor(s)
- Ji-Woong Choi
- Issue Date
- 2021
- Available Date
- 2022-07-07
- Degree Date
- 2021/02
- Type
- Thesis
- Keywords
- Wireless, High-throughput, ECoG, tactile, somatosensory-evoked potentials, 무선, 고-처리량, 피질뇌파검사, 촉각, 체성감각유발전위
- Abstract
- Nowadays, technological advancement of micro-electro-mechanical systems (MEMS) has enabled neural electrode for brain-machine interfaces (BMI) to be sophisticated. The size of the electrode pad has become smaller and the number of recording channels has increased that it can detect high-resolution signals in a wide-scale neuronal area simultaneously. On the other hand, recent wireless recording systems used for getting neural signal still have low data throughput that it can be used at restricted applications to record just small amounts of neuronal data, which drops the merits of the electrode. These wireless recording systems must overcome the disadvantage to achieve better experimental environment and fully implantable applications for freely moving living things.
- Table Of Contents
- I. Introduction 1
1.1 Background 1
1.2 Motivation 4
II. Methods 5
2.1 ECoG electrode array 5
2.2 Wireless recording system 8
2.3 Graphical user interface 11
2.4 Tactile stimulation system 13
2.5 In-vivo procedures 15
III. Results 18
3.1 Characterization of electrodes 18
3.2 Characterization of wireless recording system 20
3.2.1 Wireless connection 20
3.2.2 Operating performance 20
3.2.3 Current consumption 21
3.3 In-vivo validation 27
3.3.1 Recording test 27
3.3.2 Time and frequency analysis of SEPs 29
3.3.3 Time-frequency dynamics 34
IV. Conclusion 43
References 44
- URI
- http://dgist.dcollection.net/common/orgView/200000365016
http://hdl.handle.net/20.500.11750/16713
- DOI
- 10.22677/thesis.200000365016
- Degree
- Master
- Department
- Robotics Engineering
- University
- DGIST
- Related Researcher
-
-
Kim, Sohee
Neural Interfaces & MicroSystems Lab
-
Research Interests
Neural interface; Brain interface; Bio MEMS; Soft MEMS; Stretchable electronics; Zebrafish electrophysiology
- Files:
-
- Collection:
- Department of Robotics and Mechatronics EngineeringThesesMaster
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