지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
Fundamental requirements for performing electroencephalography
Fundamental requirements for performing electroencephalography
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한임상신경생리학회 Annals of Clinical Neurophysiology Annals of Clinical Neurophysiology 제19권 제2호 KCI등재
- 발행연도
- 2017.7
- 수록면
- 113 - 117 (5page)
이용수
Fundamental requirements for performing electroencephalography
초록· 키워드
오류제보하기
The performance of electroencephalogram (EEG) recordings is affected by electrode type, electronic parameters such as filtering, amplification, signal conversion, data storage; and environmental conditions. However, no single method has been identified for optimal EEG recording quality in all situations. Therefore, we aimed to provide general principles for EEG electrode selection as well as electronic noise reduction, and to present comprehensive information regarding the acquisition of satisfactory EEG signals. The standards provided in this document may be regarded as Korean guidelines for the clinical recording of EEG data. The equipment, types and nomenclature of electrodes, and the details for EEG recording are discussed.
목차
등록된 정보가 없습니다.
참고문헌 (13)
참고문헌 신청
Sinha SR / 2016 / American Clinical Neurophysiology Society Guide line 1: Minimum Technical Requirements for Performing Clinical Electroencephalography / J Clin Neurophysiol 33:303~307
Scott NK / 2013 / Infection prevention: 2013 review and update for neurodiagnostic technologists / Neurodiagn J 53:271~288
Acharya JN / 2016 / American Clinical Neurophysiology Society Guideline 2: Guidelines for Standard Electrode Position Nomenclature / J Clin Neurophysiol 33:308~311
Kuratani J / 2016 / American Clinical Neurophysiology Society Guideline 5 : Minimum Technical Standards for Pediatric Electroencephalography / J Clin Neurophysiol 33:320~323
Usakli AB / 2010 / Improvement of EEG signal acquisition: an electrical aspect for state of the art of front end / Comput Intell Neurosci :630649
Scott NK / 2013 / Infection prevention: 2013 review and update for neurodiagnostic technologists / Neurodiagn J 53:271~288
Acharya JN / 2016 / American Clinical Neurophysiology Society Guideline 2: Guidelines for Standard Electrode Position Nomenclature / J Clin Neurophysiol 33:308~311
Kuratani J / 2016 / American Clinical Neurophysiology Society Guideline 5 : Minimum Technical Standards for Pediatric Electroencephalography / J Clin Neurophysiol 33:320~323
Usakli AB / 2010 / Improvement of EEG signal acquisition: an electrical aspect for state of the art of front end / Comput Intell Neurosci :630649
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Miniaturization for wearable EEG systems: recording hardware and data processing
Biomedical Engineering Letters (BMEL)
2022 .08
-
뇌졸중 환자의 작업치료 중재 결과를 측정하기 위해 사용된 뇌전도(Electroencephalography)에 대한 문헌 고찰
재활치료과학
2018 .01
-
Electroencephalography for the diagnosis of brain death
Annals of Clinical Neurophysiology
2017 .07
-
Wearable EEG and beyond
Biomedical Engineering Letters (BMEL)
2019 .01
-
Electro-deposited Nanoporous Platinum Electrode for EEG Monitoring
Journal of Korean Medical Science
2018 .01
-
Does a Frontal 2-Electrode Electroencephalogram Provide Sufficient Neuropsychological Information in Various Major Psychiatric Disorders?
대한불안의학회지
2024 .04
-
Predicting Working Memory Capacity in Older Subjects Using Quantitative Electroencephalography
PSYCHIATRY INVESTIGATION
2018 .01
-
뇌파 기반 개인 인증 시스템 개발
의공학회지
2018 .01
-
Fast Eating Speed Increases the Risk of Endoscopic Erosive Gastritis in Korean Adults
Korean Journal of Family Medicine
2015 .01
-
CNN based classifi cation of motor imaginary using variational mode decomposed EEG-spectrum image
Biomedical Engineering Letters (BMEL)
2021 .08
-
Dual deep neural network-based classifiers to detect experimental seizures
The Korean Journal of Physiology & Pharmacology
2019 .01
-
Computational electroencephalography analysis for characterizing brain networks
Annals of Clinical Neurophysiology
2020 .01
-
뇌파를 이용한 두개천골요법 기반 베개의 수면유도 효과 검증
의공학회지
2018 .01
-
학습과 기억의 뇌파
생물정신의학
2016 .01
-
Electroencephalographic Abnormalities in the Screening for Pilot Applicants in Korea
Journal of Clinical Neurology
2018 .01
-
Sleep and REM evaluation using EEG and EMG with moving window analysis in insomnia animal model
한국실험동물학회 학술발표대회 논문집
2016 .02
-
EEG and EMG recording system for sleep study with a freely moving rat
한국실험동물학회 학술발표대회 논문집
2021 .07
-
EEG 기반 SPD-Net에서 리만 프로크루스테스 분석에 대한 연구
의공학회지
2024 .08
-
An EEG-based Brain Mapping to Determine Mirror Neuron System in Patients with Chronic Stroke during Action Observation
대한물리치료학회지(JKPT)
2015 .01
-
수면 뇌파-기능자기공명영상 동기화 측정과 신호처리 기법을 통한 수면 단계별 뇌연결망 연구
수면정신생리
2018 .01
이 논문의 저자 정보
최근 본 자료
인공 지능 시대 구약 선지자들에게서 얻는 교훈: 탁월한 지능이 아닌 여호와의 회의에 참여를 추구하라
김대웅신학지남사2024.12
여행업 주가지수와 거시경제변수 간의 관계에 관한 연구홍미영, 신용재대한경영학회2011.10
The study of dining experience using motivation, perception of value, and familiarity through satisfaction and behavioral intention정재식, 이애주한국호텔관광학회2016.11
챗GPT 관련 기사에 대한 토픽 모델링과 분야별 감성 분석정은희한국정보전자통신기술학회2025.02
댓글(0)
0
첫번째 댓글을 남겨주세요.