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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 KimJi-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
  • Author Kim, Sohee Neural Interfaces & MicroSystems Lab
  • Research Interests Neural interface; Brain interface; Bio MEMS; Soft MEMS; Stretchable electronics; Zebrafish electrophysiology
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Collection:
Department of Robotics and Mechatronics EngineeringThesesMaster


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