• Journal of Biomedical Engineering Research
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• v.22 no.1
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• pp.81-90
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• 2001

본 연구에서는 디지털 영상 뇌파계(digital video electroencephalogram, Digital VEEG)에서 비디오 영상과 뇌전도 파형의 동기화된 편집 시스템을 구성한다. 이 시스템은 기존 아날로그 영상 뇌파계(analog video electroencephalogram)의 동기화 문제와 디지털 영상 시스템에서의 영상편집 문제를 해결하기 위하여 MPEG-I(이하 MPEG) 고압축 기술을 이용한 MPEG 인코딩 보드(encoding board)와 MPEG 편집 엔진(editing engine)을 각각 사용하였다. 시스템은 디지털 영상뇌파계모듈과 디지털 편집 모듈로 구성되며, 뇌전도모듈에서는 환자에게 연결된 전극을 통해 들어온 뇌파를 생체신호증폭기를 이용하여 증폭한 후 AD 보드(analog to digital board)를 이용 디지털화한다. 디지털 카메라로 촬영된 환자영상의 아날로그 영상신호(NTSC 신호)는 MPEG 인코딩 보드를 이용하여 고압축 디지털화한다. 이후 디지털화된 뇌전도신호와 MPEG 형식의 영상을 시간 동기화하여 두 개의 모니터에 각각보여준다. 편집 모듈에서는 영상신호와 뇌파신호를 어느 부분이든 간단한 조작으로 오려 붙이기(cut and paste) 기능을 이용할 수 있다. 본 시스템은 사용된 데이터 모두 디지털 기술을 이용하여 영상과 뇌파신호의 정확한 동기화 및 각각의 데이터의 오려 붙이기 기능을 가능케 하였으며, 이는 환자의 데이터를 관리 및 보관하는데 있어, 임상의에게 의미 있는 자료만을 모아서 효율적으로 관리할 수 있게 해준다. 이와 같은 장점을 갖는 디지 영상뇌파계 편집시스템을 구현하였다.

• The Korean Society of Law and Medicine
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• v.24 no.3
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• pp.125-153
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• 2023

The Supreme Court's en banc decision on December 12, 2022 (docket number 2016Do21314) presented a new standard for determining whether the use of diagnostic medical devices by Korean medical doctors constitutes oriental medical doctors constitutes unlicensed medical practice. Based on this standard, it was determined that the use of ultrasound by Korean medical doctors was not an unlicensed medical practice. Supreme Court's Decision 2016Du51405 on August 18, 2023, is the first case in which a new standard was applied to determine that an Korean medical doctor's use of electroencephalography to diagnose Parkinson's disease and dementia was not an unlicensed medical practice. The Supreme Court abolished the previous standard that Western medical knowledge and technology should not be required for Korean medical doctors to use medical devices. However, it was unclear whether Western medical diagnosis of Korean medical doctors using diagnostic medical devices would be viewed as an an auxiliary method of diagnosis. Parkinson's disease and dementia are Western medical diagnoses. The Supreme Court judged that the Western medical diagnosis of Korean medical doctors was not an unlicensed medical practice. This clearly explains what an auxiliary method of diagnosis means. In addition, the Supreme Court excluded the principles of development and production of electroencephalography from its judgment criteria. Automatic extraction and automatic reading of test results were also excluded. The criminal court's view that the meaning of oriental medical practice should be clearly and strictly interpreted from the perspective of an oriental doctor, and it was clarified that diagnostic medical devices were excluded from criminal punishment unless it was clear that they were not related to the principle of oriental medical practice. As a result, the Supreme Court made it clear that the use of diagnostic medical devices is excluded from criminal punishment unless it is clear that they are not related to the principles of Korean medicine.

• Electronics and Telecommunications Trends
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• v.11 no.2 s.40
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• pp.31-43
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• 1996

본 고에서는 인간이 사고와 행동을 할 때 뇌에서 자발적으로 방출되는 뇌파를 미래의 통신시스템 및 서비스에 이용하기 위한 전단계로서, $\alpha$, $\beta$, $\delta$, $\theta$, $\gamma$및 $\mu$파 등 뇌파의 종류 및 특성과 국제적으로 사용되고 있는 10-20 방식에 의한 뇌파측정점, 그리고 전극배치법에 대해 고찰해보고, 뇌파인식에 관한 최근 연구동향을 분석하였다.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.821-827
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• 2018

Affective computing has gained increasing interest in the recent years with the development of potential applications in Human computer interaction (HCI) and healthcare. Although momentous research has been done on human emotion recognition, however, in comparison to speech and facial expression less attention has been paid to physiological signals. In this paper, Electroencephalogram (EEG) signals from different brain regions were investigated using modified wavelet energy features. For minimization of redundancy and maximization of relevancy among features, mRMR algorithm was deployed significantly. EEG recordings of a publically available "DEAP" database have been used to classify four classes of emotions with Multi class Support Vector Machine. The proposed approach shows significant performance compared to existing algorithms.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.847-850
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• 2016

뇌-컴퓨터 인터페이스(Brain-Computer Interface: BCI) 기술의 중요성 및 활용도가 증대됨으로써 EEG(electroencephalogram: EEG)기반의 사용자 인터페이스에 대한 개발 및 연구가 활발히 진행되고 있다. 그러나 뇌파 발생 훈련이 되어 있지 않은 사용자는 EEG 기반의 사용자 인터페이스를 사용하기가 어렵다. 따라서 본 논문에서는 향후 뇌파 훈련을 위한 시뮬레이터를 개발하고자, 그 전단계로 사용자에게서 공통적으로 정확도가 높게 측정되는 채널 및 특징점을 비교, 분석 하였다. 피험자 3명의 왼손 동작 상상과 오른손 동작 상상으로 발생된 EEG 생체신호로부터 ERD/ERS를 확인하고, 8개의 특징점을 추출하여 SVM 분류 알고리즘을 기반으로 정확도를 측정하였으며, ${\mu}$대역 채널 AF4, F4에서의 특징 MAV에서 가장 우수한 성능을 보였다.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.12
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• pp.55-64
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• 2019

The purpose of this study was to analyze the affection of plan configuration on human emotion using Virtual Reality. A total of four different plan configuration was selected according to the prior study and built using Virtual Reality. The EEG was measured and then calculated using FFT to measure human emotion in different plan configurations. The measurements were shown to lead there was a significant statistical difference in four types of brainwaves between the plan types(p<0.05). This indicates that there is a possibility of plan configuration may exacerbate psychological disorder among single-person household and suggests that it is possible to counteract those stress among single-person household by changing the plan configuration in the earlier designing stage.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.517-520
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• 2018

EEG 발명 이래 인간은 뇌파 분석에 기반한 새로운 통신 기술을 개발할 궁리를 하기 시작했다. 이것이 BCI 의 발전으로 이어졌고 최근 몇 십년간 전세계적으로 BCI 연구의 수가 눈에 띄게 증가하였다. 이 논문은 BCI 분야에서 현재 사용되는 기술들에 대한 개요를 제공하는데 초점을 두고 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1471-1476
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• 2015

Due to the anesthesia process is inappropriate on the operation, awakening state was appeared. To prevent the state, it is necessary to monitor the patients by measuring the depth of anesthesia. In this study, we investigate the possibility of the development of actual surgery available quantitative indicators. The DFA which is included the correlation property of the EEG is used to analysis the depth of anesthesia and bispctrum index. In the results, at the pre-operation, the peak of bispectrum was widely distributed, DFA value was decreased. At the during operation, bispectrum was concentrically appeared in the low frequency area. At the post operation, bispectrum and DFA was both returned to the pre-operation state. We confirmed to be close correlation between the peaks of the bispectrum and DFA value.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.141-144
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• 2009

본 연구는 사상관련전위를 이용하여 의식하에 제시된 미적자극이 대뇌활동에 미치는 영향을 밝혀내고자 이루어졌다. 이를 위해, 16명의 실험참가자에게 masking법를 이용해 미적자극을 의식하에 제시하였다(10msec). 제시된 자극은 선행연구를 통해 선정된 Beautiful Images(미자극), Ugly Images(추자극), Neutral Images(중성자극)이였다. 사상관련전위(event-related potentials; ERPs)는 64채널의 뇌파계를 이용하여 측정하였다. 그 결과, 후두엽 (Oz) 및 좌측두엽 (T5)에서 미자극에 의해 나타난 ERPs초기성분인 P1, N1, P2, N2의 진폭이 중성자극에 의해 나타난 진폭보다 컸다. 그리고, 후두염에서 추자극에 의해 보여진 P2, N2의 진폭 및 Late Slow Wave(LSW)의 평균전위가 중성자극에 의해 보여진 것보다 컸다. 이와 같은 ERPs성분은 자극의 탐지, 패턴인지, 기억탐색, 표적선택 등과 같은 자극의 정보처리와 관련되어 있다고 보고되고 있다. 따라서, 의식하에 제시된 미적자극은 서로 다른 대뇌 활동을 일으킴을 알 수 있다. 이는 인간은 의식하에서 미적자극에 대한 정보처리를 하는 기능을 가지고 있음을 뜻한다.

• Journal of IKEEE
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• v.25 no.4
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• pp.679-688
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• 2021

Gait is an evaluation index used in various clinical area including brain nervous system diseases. Signal source localizing and time-frequency analysis are mainly used after extracting independent components for Electroencephalogram data as a method of measuring and analyzing brain activation related to gait. Existing treadmill-based walking EEG analysis performs signal preprocessing, independent component analysis(ICA), and source localizing by merging data after the multiple EEG measurements, and extracts representative component clusters through inter-subject clustering. In this study we propose an analysis method, without merging to single dataset, that performs signal preprocessing, ICA, and source localization on each measurements, and inter-subject clustering is conducted for ICs extracted from all subjects. The effect of data merging on the IC clustering and time-frequency analysis was investigated for the proposed method and two conventional methods. As a result, it was confirmed that a more subdivided gait-related brain signal component was derived from the proposed "non-merging" method (4 clusters) despite the small number of subjects, than conventional method (2 clusters).