• Korean Journal of Psychosomatic Medicine
• /
• v.25 no.1
• /
• pp.63-72
• /
• 2017

Objectives : Attention-deficit hyperactivity disorder(ADHD) is characterized by significant impairments in executive functions, with a prevalence of approximately 3-5% of all children worldwide. The goal of this study was to examine the relationship between executive functions and electrophysiological activities in children and adolescents with ADHD. Methods : In 31 patients with ADHD, resting-state EEG was recorded, and Comprehensive Attention Test(CAT), Stroop Color-Word Inference Test(Stroop CWIT), Trail Making Test(TMT), and Wisconsin Card Sorting Test(CST) were administered. Korean version of the ADHD Rating Scale(K-ARS) was assessed. Results : Alpha and beta power positively correlated with the Attention Quotient(AQ), while delta power negatively correlated with AQ from CAT. In the Stroop CWIT, decreased delta power and increased beta power were related to higher performance. Power of the alpha band increased with higher TMT performance. Moreover, delta power negatively correlated with good performance on the CST, while alpha and high gamma band showed a positive correlation. Correlation with the parent-rating of ADHD symptoms showed a negative correlation between alpha power and higher scores on the K-ARS. Conclusions : These findings indicate that relative power in higher frequency bands of EEG is related to the higher executive function in children and adolescents with ADHD, while the association with the relative power in lower frequency bands of EEG seem to be vice versa. Furthermore, the findings suggest that QEEG may be a useful adjunctive tool in assessing patients with ADHD.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1997.11a
• /
• pp.90-93
• /
• 1997

외부환경의 변화에 의한 감성의 상태를 특정 자극을 인식한 후 나타나는 생리신호의 정량적인 분석기법을 개발함으로써 감성과 생리신호간의 상관관계를 찾고자 하는 연구가 절실히 요구되고 있다. 본 연구에서의 자극은 모터를 이용하는 자극기를 제작하여 부드러운 천과 거친사포를 피검자의 왼손바닥에 제시하였다. 그리고, 피검자에게 피부자극을 제시할 때 피검자가 자극의 특성을 인식하는 과정에서 발생되는 뇌파를 검출, 분석하고자 하였다. 분석방법으로서는 nonstationary한 신호분석에 유용한 특성을 가지고 있는 wavelet변환을 이용한 시간-주파수 EEG 신호의 특정범위에서의 시간-주파수 에너지성분의 변화를 관찰하였다. 그 결과 무자극시의 뇌파와 자극시으 뇌파를 비교하였을 때 부드러운 자극을 제시한 경우에는 낮은 주파수 대역에서 에너지가 우세함을 보였으며, 거친 자극에 대해서는 20-30Hz대역에서의 우세한 에너지 분포가 관찰되었다.

• Proceedings of the ESK Conference
• /
• 1996.10a
• /
• pp.56-56
• /
• 1996

인간의 사고 기능과 학습기능이 '뇌'를 바탕으로 이루어진다고 할 때, 뇌의 긴장을 풀어 원래의 건강하고 창조적인 이완 상태에서의 학습 상태가 유효하게 된다. 즉, 뇌파가 " $\alpha$" 상태 가 되었을 때 긴장된 신체의 각 부분이 충분히 이완되고 두뇌는 맑고 건강한 상태를 유지하여 활발하고 창조적인 상태가 된다. 뇌파의 측정 및 분석된 기존 연구에 의하면, 인간의 심리상태와 신체 상태, 행동 패턴에도 직, 간접적인 영향을 주어 뇌파의 조절이 인간 잠재능력 개발의 첩경이라는 결과가 보고되어진다. 이러한 관점에서 본 연구에서는 뇌의 특성을 고려하여 뇌를 이완시킴으로써 학생들의 학습능력을 향상시키 기 위한 새로운 접근 방법을 시도한다. 뇌파 조절이 가해지는 환경하에 학습 효율의 변화 정도를 정성적( 심리적, 학습적, 신체적) 및 정량적(영어 단어 암기력 TEST, 뇌파 특정 등)으로 평가 및 분석을 통해 뇌파 조절 효과가 학생들의 학습 효율을 더욱 향상 시킬 수 있는 지의 타당성을 검증하고 그 결과를 바탕으로 새로운 학습 방법을 모색하고자 한다. 한편, 본 연구에서는 실험 대상을 본 대학 임의의 2학년 학생 13 명 을 대상으로 하고 실험기간은 약 4개월에 걸쳐 실험 하였다. 뇌파 측정은 13명중 임의의 학생 7명을 선정 하여 각 40분씩 측정 분석하였다. 또한 영어 단어 암기력 TEST를 실시하여 그 결과를 뇌파 조절 전,후로 나누어 비교 분석하였다. 정성적 분석으로서 종합 설문지를 이용한 15 개 항목의 5점 척도를 사용하여 분석하였으며 가가 통계 이론을 이용하여 검증하였다. 뇌파 측정은 수행 전후 비교 결과 " .alpha. " 노출 비율이 수행 전보다 수행 후가 다소 높은 비유로 나타났으며, 특히 영어 단어 암기력은 평균적으로 크게 상승되는 것으로 나타났다. 정성적 분석 결과에서는 많은 심리적 변화 상태가 나타나고 있지만 전체적으로 마음의 안정감, 몸의 긴장 이완에 따른 건강 상태 유지, 수업 집중도 향상 등이 나타났다. 위와 같은 종합 적 분석 결과에 따라, 본 연구는 제조 현장의 생산성 향상 및 품질 향상과 연계하여 작업자의 작업 집중도 향상, 작업자의 육체적, 심리적 변화에 따른 생산성 및 품질 향상 변화 정도 등의 산업공학(인간공학) 제 분야의 여러 측면에서 연구 및 적용이 가능하리라 사료된다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.12 no.5
• /
• pp.442-450
• /
• 2002

In measuring EEG, which is widely used for studying brain function, EEG is frequently mixed with noise and artifact. In this study, the signals relevant to the artifact were distracted by applying ICA to EEG signal. First, each independent component which was assumed to be the source was separated by applying ICA to EEG which involved artifact relevant to the eye movement of a normal person. Next, the signal which was assumed to be artifact was removed from the separated 18 independent components, and the nonlinear analysis method such as correlation dimension and the Iyapunov exponent was applied to each reconstructed EEG signal and the original signal including artifact in order to find meaningful difference between the two signals and infer the anatomical localization of its source and distribution. This study shows it is possible not only to analyze the brain function visually and spatially for visually complex EEG signal, but also to observe its meaningful change through the quantitative analysis of EEG by means of the nonlinear analysis.

• Korean Journal of Biological Psychiatry
• /
• v.3 no.2
• /
• pp.216-221
• /
• 1996

The quantitative EEGs of obsessive-compulsive disorder patients were analyzed using spectral analysis and compared to age and sex-matched controls. The subjects were 19 patients(men=15, women=4) suffering from obsessive-compulsive disorder(DSM-III-R). Absolute power, relative power and interhemispheric asymmetry of EEG were used to compare obsessive-compulsive disorder patients with controls. In order to fit the EEG data to a normal distribution, a log transformation of power values of every bandwidth in each deviation was calculated prior statistical analysis. The Wilcoxon rank test was performed to compare obsessive-compulsive group to the control group. In obsessive-compulsive disorder, abnormalities of quantitative EEGs are prominent in fronto-central. These results ore compatible with other brain imaging studies of obsessive-compulsive disorder and suggested that fronto-central area plays an important role in the pathophysiology of obsessive-compulsive disorder.

• Journal of IKEEE
• /
• v.12 no.4
• /
• pp.204-210
• /
• 2008

Generally, among the EEG signal, alpha wave is said to be strongly appeared in stable state and beta wave in active state. And in oriental medicine, it is said that relative long and regular respiration shows stable state rather than short and irregular respiration. In this paper, we tried to find out relation between respiration and EEG in stable state using quantitative parameters such as stable state ratio and equivalent ratio of respiration which was defined to indicate the degree of stable state quantitatively. And we verified our proposal by the real experiment for 20 persons.

• Korean Journal of Occupational Health Nursing
• /
• v.30 no.3
• /
• pp.101-109
• /
• 2021

Purpose: This study aimed to measure COVID-19 stress and the quantitative electroencephalography (QEEG) stress quotient and identify the coping styles of face-to-face service industry employees during the COVID-19 pandemic. Methods: This cross-sectional study administered structured questionnaires consisting of sections on general characteristics, COVID-19 stress, and coping style for stress to 21 face-to-face service industry employees between April 1 and April 18, 2021. The physical tension & stress quotient and psychological distraction & stress quotient were measured in the prefrontal lobe with QEEG. Results: Emotional easiness (r=.62, p=.002) and escape-avoidance (r=.55, p=.009) as a passive coping style were associated with COVID-19 stress, and seeking social support as an active coping style was associated with the left physical tension & stress quotient (r=.47, p=.031). Conclusion: These findings provide evidence regarding the objective status of the mental health of face-to-face service industry employees using both a self-reported scale and neuroscientific indicators, including brain quotients.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.16 no.3
• /
• pp.372-377
• /
• 2006

In this paper, we propose sensibility recognition model that recognize user's sensibility using brain waves. Method to acquire quantitative data of brain waves including priority living body data or sensitivity data to recognize user's sensitivity need and pattern recognition techniques to examine closely present user's sensitivity state through next acquired brain waves becomes problem that is important. In this paper, we used pattern recognition techniques to use Multi Layer Perceptron (MLP) that is pattern recognition techniques that recognize user's sensibility state through brain waves. We measures several subject's emotion brain waves in specification space for an experiment of sensibility recognition model's which propose in this paper and we made a emotion DB by the meaning data that made of concentration or stability by the brain waves measured. The model recognizes new user's sensibility by the user's brain waves after study by sensibility recognition model which propose in this paper to emotion DB. Finally, we estimates the performance of sensibility recognition model which used brain waves as that measure the change of recognition rate by the number of subjects and a number of hidden nodes.

• Sleep Medicine and Psychophysiology
• /
• v.2 no.1
• /
• pp.31-43
• /
• 1995

Recently, the methods that measure and analyze brain electrical activity quantitatively have been available with the rapid development of computer technology. The quantitative electroencephalography(QEEG) is a method of computer-assisted analyzing brain electrical activity. The QEEG allows for a more sensitive, precise and reproducible examination of EEG data than that can be accomplished by conventional EEG. It is possible to compare various EEG parameters each other by using QEEG. Neurometrics, a kind of the quantitative EEG. is to compare EEG characteristics of the patient with normative data to determine in what way the patient's EEG deviates from normality and to discriminate among psychiatric disorders. Nowadays, QEEG is far superior to conventional EEG in its detection of abnormality and in its usefulness in psychiatric differential diagnosis. The abnormal findings of QEEG in various psychiatric disorders are also discussed.

• Science of Emotion and Sensibility
• /
• v.1 no.1
• /
• pp.59-67
• /
• 1998

뇌전위에서 개인차가 없는 일반적인 규칙ㅇ르 지닌 두개의 정보 변수, 즉 ILF와 IHF를 발견하였다. 이러한 일반성을 지닌 정보 변수가 청각, 후각, 촉각 자극에 의해 유발된 쾌하거나 불쾌한 감성 상태를 구분할 수 있으며 전두엽에서 그 경향이 두드러짐을 확인하였다. 전두엽의 뇌전위에서 감성 자극이 주어지가 전과 자극이 주어지는 동안의 ILF, IHF값을 정규화함으로써 새로운 변수, Relative Quantified Emotional State(RQES)를 구현하였다. RQES는 쾌, 중립, 불쾌한 감성의 정도를 선형적으로 정량화하였다. 따라서 하나의 전극으로 측정한 전두엽부분의 뇌전위로부터 RQES값을 계산하면 인간의 쾌, 불쾌 감성을 신뢰도있게 정량화 할 수 있다.