• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 춘계학술대회
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• pp.370-373
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• 1997

We are exposed to the various external stimuli input from the environment, which cause emotional changes based on the characteristics of the stimuli. Unfortunately there are no quantitative results on relationship between human sensibility and the characteristics of physiological signals. The objective of this study was to quantify EEG signals evoked by auditory stimulation based on the assumption that the analysis of the variability on the characteristics of the EEG waveform may provide the significant information regarding changes in psychological states of the subject. The experiment was devised with seven experimental conditions, which are control and six different types of auditory stimulation. Six subjects were used to obtain EEGs while introducing auditory stimulation. Wavelet transformation was employed to analyze the EEG signals. The results showed that the reconstructed signals at the decomposition level revealed the different energy value on the EEG signal. Also, general patterns of EEG signals in rest state compare with negative and positive stimulus were found. This study could be extended to establish an algorithm which distinguishes psychophysiological states of the subjects exposed to the auditory stimulation.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.455-458
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• 1997

We are exposed to the various external stimuli input from the environment, which cause emotional changes based on the characteristics of the stimuli. Unfortunately, there are no quantitative results on relationship between human sensibility and the characteristics of physiological signals. The objective of this study was to quantify EEG signals evoked by visual stimulation based on the assumption that the analysis of the variability on the characteristics of the EEG waveform may provide the significant information regarding changes in psychological states of the subject. Seven university students were participated in this study. The experiment was devised with eleven experimental conditions, which are control and ten different types of visual stimulation based on IAPS (International Affective Picture Systems). Wavelet transformation was employed to analyze the EEG signals. Most positive and negative emotional response were compared in pairs. The results showed that the reconstructed signals at the decomposition level revealed the different energy value on the EEG signals. Also, general patterns of EEG signals in rest state compare with positive and negative stimulus were found. This study could be extended to establish an algorithm which distinguishes psychophysiological states of the subjects exposed to the visual stimulation.

• 대한건축학회논문집:계획계
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• 제36권4호
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• pp.41-49
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• 2020

The purpose of this study was to investigate the use of the Deep Neural Networks(DNN) model to classify user's emotions, in particular Electroencephalography(EEG) toward Virtual-Reality(VR) based 3D design alternatives. Four different types of VR Space were constructed to measure a user's emotion and EEG was measured for each stimulus. In addition to the quantitative evaluation based on EEG data, a questionnaire was conducted to qualitatively check whether there is a difference between VR stimuli. As a result, there is a significant difference between plan types according to the normalized ranking method. Therefore, the value of the subjective questionnaire was used as labeling data and collected EEG data was used for a feature value in the DNN model. Google TensorFlow was used to build and train the model. The accuracy of the developed model was 98.9%, which is higher than in previous studies. This indicates that there is a possibility of VR and Fast Fourier Transform(FFT) processing would affect the accuracy of the model, which means that it is possible to classify a user's emotions toward VR based 3D design alternatives by measuring the EEG with this model.

• The Korean Journal of Physiology and Pharmacology
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• 제28권3호
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• pp.253-264
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• 2024

Chronic neuropathic pain (CNP) is a complex condition often arising from neural maladaptation after nerve injury. Understanding CNP complications involves the intricate interplay between brain-heart dynamics, assessed through quantitative electroencephalogram (qEEG) and heart rate variability (HRV). However, insights into their interaction in chronic pain are limited. Resting EEG and simultaneous electrocardiogram (lead II) of the participants were recorded for qEEG and HRV analysis. Correlations between HRV and qEEG parameters were calculated and compared with age, sex, and body mass index (BMI)-matched controls. CNP patients showed reduced HRV and significant increases in qEEG power spectral densities within delta, theta, and beta frequency ranges. A positive correlation was found between low frequency/high frequency (LF/HF) ratio in HRV analysis and theta, alpha, and beta frequency bands in qEEG among CNP patients. However, no significant correlation was observed between parasympathetic indices and theta, beta bands in qEEG within CNP group, unlike age, sex, and BMI-matched healthy controls. CNP patients display significant HRV reductions and distinctive qEEG patterns. While healthy controls exhibit significant correlations between parasympathetic HRV parameters and qEEG spectral densities, these relationships are diminished or absent in CNP individuals. LF/HF ratio, reflecting sympathovagal balance, correlates significantly with qEEG frequency bands (theta, alpha, beta), illuminating autonomic dysregulation in CNP. These findings emphasize the intricate brain-heart interplay in chronic pain, warranting further exploration.

• 한국지능시스템학회논문지
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• 제12권5호
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• pp.442-450
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• 2002

뇌 기능의 연구수단으로써 널리 사용되고 있는 뇌파(Electroencephalogram, EEG)는 측정시에 노이즈(noise)나 잡파(artifact)가 섞여서 측정되기 쉽다. 본 연구에서는 뇌파에 포함된 잡파들을 분리하기 위해서 독립성분분석(ICA)을 뇌파신호에 적용하였다. 먼저 정상인의 안구운동(Eye Movement)과 관련된 잡파가 나타나는 뇌파 신호에 대해서 독립성분분석을 적용하여 소스로 추정되는 각각의 독립성분들을 분리해 내었다 분리된 신호에 대하여 잡파로 보이는 신호를 제거하고 재구성된 뇌파 신호와 잡파가 제거되기 전인 원래의 신호에 대하여 각각 상관차원(correlation dimension) 및 리아프노프 지수(Iyapunov exponent)등과 같은 비선형 분석법을 적용하여 두 신호의 유의한 차이점을 밝히고, 분리된 독립 신호들의 해부학적 발생위치 및 분포를 추정하였다. 시각적으로 복잡한 뇌파신호에 대하여 독립성분분석을 통하여 뇌 활동의 시각적, 공간적 분석이 가능함을 나타내었을 뿐만 아니라 비선형 분석을 통한 뇌파 신호의 정량적 분석을 통하여 시각적으로 복잡한 뇌파의 유의미한 변화를 관찰할 수 있었다.

• Annals of Clinical Neurophysiology
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• 제22권2호
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• pp.82-91
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• 2020

Electroencephalography (EEG) produces time-series data of neural oscillations in the brain, and is one of the most commonly used methods for investigating both normal brain functions and brain disorders. Quantitative EEG analysis enables identification of frequencies and brain activity that are activated or impaired. With studies on the structural and functional networks of the brain, the concept of the brain as a complex network has been fundamental to understand normal brain functions and the pathophysiology of various neurological disorders. Functional connectivity is a measure of neural synchrony in the brain network that refers to the statistical interdependency between neural oscillations over time. In this review, we first discuss the basic methods of EEG analysis, including preprocessing, spectral analysis, and functional-connectivity and graph-theory measures. We then review previous EEG studies of brain network characterization in several neurological disorders, including epilepsy, Alzheimer's disease, dementia with Lewy bodies, and idiopathic rapid eye movement sleep behavior disorder. Identifying the EEG-based network characteristics might improve the understanding of disease processes and aid the development of novel therapeutic approaches for various neurological disorders.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2009년도 춘계학술대회
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• pp.15-15
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• 2009

• 한국산학기술학회논문지
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• 제18권11호
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• pp.166-175
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• 2017

이 연구는 범죄피해자 지원기관인 (사)한국피해자지원협회(KOVA; Korea Organization Victicm Assistance)에서 2017년 7월 피해상담 전문가의 심리상담을 진행한 두 폭력 가정의 피해자녀들을 대상으로 이루어졌다. 연구참여자는 가정폭력에 대한 피해 호소가 10년이 넘은 가정으로서 폭력피해사실에 대해 경찰서에 직접 신고되어 접수된 이력이 있고 또 피해자녀와 피해자인 어머니가 단기쉼터에 입소하여 함께 거주한 경험이 있는 가정이었다. 가정폭력의 경우 자녀들은 특히, 미성년자인 경우 부모가 제공하는 생활공간에서 폭력피해를 입더라도 자발적으로 벗어나기 어려운 상태에 있으며, 폭력경험을 지속적이고 반복적으로 당하게 된다. 이에 가정폭력 피해자녀들이 현재 가해자-피해자 관계의 부모와 함께 거주하면서 어떤 감정 양상을 나타내고 있는지 그 특성을 정량화된 뇌파 데이터를 수집하고 분석하여 확인하고자 하였다. 뇌파측정은 서울불교대학원 부설 뇌과학연구소에서 진행하였으며, 뇌파측정 데이터 수집은 국제적으로 표준화된 19채널 뇌파측정도구인 브레인마스터를 사용하였고, 데이터 처리는 뉴로가이드를 사용하였다. 가정폭력을 경험한 피해자녀의 감정양상을 정량적 수치 및 뇌지형도를 통하여 분석한 결과 전두엽에 있어서 과잉서파의 문제, 알파파 좌우비대칭, 고베타파 좌우비대칭의 문제를 발견하였다.

• 수면정신생리
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• 제17권2호
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• pp.91-99
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• 2010

목 적: 본 연구는 정신분열병의 결핍증후군과 비결핍증후군이 다른 생물학적 동등성을 가진 독립된 질환일 수 있다는 가설 아래 quantitative EEG와 standardized LORETA (sLORETA)를 이용한 전기생리학적인 방법을 통하여 생물학적 병인을 파악하고자 시도되었다. 방 법: 정신분열병 환자를 대상으로 42명의 뇌파를 비교 분석하였으며 그 중 결핍증후군 환자군은 남자 10명과 여자 11명이었고 비결핍증후군 환자군은 남자 12명, 여자 9명이었다. 주파수 대역은 delta(1.5~4 Hz), theta(4~8 Hz), alpha(8~12 Hz), low beta(12~15 Hz), high beta(15~30 Hz)의 5가지로 분할하였고 EEG LAB을 이용한 파워스펙트럼 분석 및 standardized sLORETA software package를 이용하여 신호원을 국소화 하였다. 결 과: 파워 스펙트럼 분석에서 결핍증후군 집단은 비결핍증후군과 비교하였을 때 전두엽, 두정엽 및 측두엽 영역에서 delta파와 theta파의 유의한 활성도 증가를 보였으며 뇌파 스펙트럼은 간편 정신상태 평정 척도 중 철퇴/지연과 적대/의심 항목의 임상적인 특징과 유의한 상관관계를 보였다. sLORETA분석 결과에서는 배측 전대상피질에서 결핍증후군에서 유의하게 delta파의 활성도가 증가되었다. 결 론: 결핍증후군은 비결핍증후군과는 연관된 뇌 영역이 다를 수 있으며 특히 전두엽 영역의 신경회로 이상이 일차적 음성증상에 영향을 줄 것으로 생각된다.

• 대한약침학회지
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• 제22권3호
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• pp.166-170
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• 2019

Objectives: Attentional and memory functions are important aspects of neural plasticity that, theoretically, should be amenable to pharmacopuncture treatments. A previous study from our laboratory suggested that quantitative electroencephalographic (qEEG) measurements of theta/beta ratio (TBR), an index of attentional control, may be indicative of academic performance in a first-semester medical school course. The present study expands our prior report by extracting and analyzing data on frontal theta and beta asymmetries. We test the hypothesis that the amount of frontal theta and beta asymmetries (fTA, fBA), are correlated with TBR and academic performance, thereby providing novel targets for pharmacopuncture treatments to improve cognitive performance. Methods: Ten healthy male volunteers were subjected to 5-10 min of qEEG measurements under eyes-closed conditions. The qEEG measurements were performed 3 days before each of first two block examinations in anatomy-physiology, separated by five weeks. Amplitudes of the theta and beta waveforms, expressed in ${\mu}V$, were used to compute TBR, fTA and fBA. Significance of changes in theta and beta EEG wave amplitude was assessed by ANOVA with post-hoc t-testing. Correlations between TBR, fTA, fBA and the raw examination scores were evaluated by Pearson's product-moment coefficients and linear regression analysis. Results: fTA and fBA were found to be negatively correlated with TBR (P<0.03, P<0.05, respectively) and were positively correlated with the second examination score (P<0.03, P=0.1, respectively). Conclusion: Smaller fTA and fBA were associated with lower academic performance in the second of two first-semester medical school anatomy-physiology block examination. Future studies should determine whether these qEEG metrics are useful for monitoring changes associated with the brain's cognitive adaptations to academic challenges, for predicting academic performance and for targeting phamacopuncture treatments to improve cognitive performance.