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dc.contributor.advisor 김소희 -
dc.contributor.author Daun Hong -
dc.date.accessioned 2022-07-07T02:29:19Z -
dc.date.available 2022-07-07T02:29:19Z -
dc.date.issued 2021 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000365016 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/16713 -
dc.description.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. -
dc.description.statementofresponsibility Y -
dc.description.tableofcontents 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
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dc.format.extent 46 -
dc.language eng -
dc.publisher DGIST -
dc.subject Wireless, High-throughput, ECoG, tactile, somatosensory-evoked potentials, 무선, 고-처리량, 피질뇌파검사, 촉각, 체성감각유발전위 -
dc.title Development of ECoG electrode array integrated with wireless recording system -
dc.title.alternative 무선 기록 시스템이 통합된 피질뇌파검사(ECoG) 전극 배열의 개발 -
dc.type Thesis -
dc.identifier.doi 10.22677/thesis.200000365016 -
dc.description.degree Master -
dc.contributor.department Robotics Engineering -
dc.contributor.coadvisor Ji-Woong Choi -
dc.date.awarded 2021/02 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.RM 홍22 202102 -
dc.contributor.alternativeDepartment 로봇공학전공 -
dc.contributor.affiliatedAuthor Daun Hong -
dc.contributor.affiliatedAuthor Sohee Kim -
dc.contributor.affiliatedAuthor Ji-Woong Choi -
dc.contributor.alternativeName 홍다운 -
dc.contributor.alternativeName Sohee Kim -
dc.contributor.alternativeName 최지웅 -
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200000365016.pdf

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Department of Robotics and Mechatronics Engineering Theses Master

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