• Title/Summary/Keyword: EEG, 뇌파

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A Novel Method for Emotion Recognition based on the EEG Signal using Gradients (EEG 신호 기반 경사도 방법을 통한 감정인식에 대한 연구)

  • Han, EuiHwan;Cha, HyungTai
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.7
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    • pp.71-78
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    • 2017
  • There are several algorithms to classify emotion, such as Support-vector-machine (SVM), Bayesian decision rule, etc. However, many researchers have insisted that these methods have minor problems. Therefore, in this paper, we propose a novel method for emotion recognition based on Electroencephalogram (EEG) signal using the Gradient method which was proposed by Han. We also utilize a database for emotion analysis using physiological signals (DEAP) to obtain objective data. And we acquire four channel brainwaves, including Fz (${\alpha}$), Fp2 (${\beta}$), F3 (${\alpha}$), F4 (${\alpha}$) which are selected in previous study. We use 4 features which are power spectral density (PSD) of the above channels. According to performance evaluation (4-fold cross validation), we could get 85% accuracy in valence axis and 87.5% in arousal. It is 5-7% higher than existing method's.

A Study of the Relationships between the Ratio of $2^{nd}$ to $4^{th}$ Digit Length and Cerebral Laterality (제2수지-제4수지 길이 비율과 대뇌 편측화 관계 연구)

  • Kim, Ah-Young;Kim, Seong-Kyun;Youn, Jin-Young;Jeong, Jae-Seung;Lee, Joo-Ho;Chae, Jeong-Ho;Lee, Yu-Sang
    • Korean Journal of Biological Psychiatry
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    • v.18 no.1
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    • pp.25-35
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    • 2011
  • Objectives : Cerebral laterality is thought to be an important marker for neurodevelopment. Prenatal testosterone could influence both cerebral laterality and 2nd to 4th finger length ratio(2D : 4D). EEG coherence and 2D : 4D were examined to investigate the relationship between prenatal testosterone level and cerebral laterality. Methods : EEG was recorded in 24 healthy subjects in the eyes closed resting state. Differences in 2D : 4D finger ratio were used to discriminate "masculine finger type" and "feminine finger type" groups. The 2D : 4D ratio was lower and greater than one for the "masculine finger type" group and "feminine finger type" group, respectively. We used coherence analysis to estimate the cortical functional connectivity. Results : There were statistically meaningful relationships among cerebral functional connectivity, sex and finger ratio. Man and masculine finger type group showed higher intra-hemispheric coherence than those of woman and feminine finger type group. Woman and feminine finger type group showed higher inter-hemispheric coherence than those of man and masculine finger type group. Conclusions : These results imply that prenatal testosterone might act as important determinants of cerebral laterality. Further examination of the relationship between 2D : 4D and EEG coherence in schizophrenia could give some clues for the neurodevelopmental hypothesis of schizophrenia genesis.

The Effect of Electroacupuncture at the BL60 (Kollyun) on the EEG (곤륜의 전침 자극이 뇌파에 미치는 영향)

  • Lee Tae-Young;Lee Kwang-Gyu;Jang Yun-Sung;Yuk Sang-Won;Lee Chang-Hyun;Lee Sang-Ryong
    • Korean Journal of Acupuncture
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    • v.20 no.2
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    • pp.31-46
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    • 2003
  • Objectives : The aim of this study was to examine the effects of electroacupuncture(EA) at the BL60 (Kollyun) on normal humans using power spectral analysis. Methods : EEG power spectrum exhibit site-specific and state-related differences in specific frequency bands. In this study, power spectrum was used as a measure of complexity. 30 channel EEG study was carried out in 10 subjects $(10\;males;\;age=22.4{\pm}0.5$ years). Results : In alpha band, the power values at Fz during the non-acupoint treatment and at Fp2, T5 during the BL60-acupoint treatment significantly were decreased. In beta band, the power values at C3, Po2, O2, Oz during the BL60-acupoint treatment significantly were increased than the before-acupuncture treatment. In theta band, the power values at F7 during the BL60-acupoint treatment significantly was increased. However, the comparison with that before and after the treatment shows no significant differences in all channels.

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Differences of EEG and autonomic responses between olfactory stimuli with orange and valeric acid in human (오렌지향과 valeric acid향에 대한 뇌파와 자율신경계반응에 나타난 후각 감성)

  • 백은주;이윤영;이배환;문창현;이수환
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1997.11a
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    • pp.75-79
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    • 1997
  • The present study was designed to investigate whether there is a consistint changes in the signals from the central and autonomic nervous systim due to olfactory stimulation. The olfactory stimuli were 0.6% orange and 2.5% valeric acid and the stimuli through the olfactory stimulator soth controlled consistint flow, controlled concentration, and saturated with vapour to prevent drying the nasal mucosa. A room air blunk served as the control stimulus, EEG was recorede from 4channels according to the international 10-20 systim. Additionally, ECG, EOG, heart rate, skin conductance and resputation were recorded comtinuously. The fast Fourier transform analysis of EEG waves was analysed with the power spectra. Averaged power spectra were computed for the following frequency bands ; delta(0-4.5Hz), theta (4.5-7Hz), alphal(7-9.5Hz), alpha2 (9.5-12.5Hz) and beta(12.5-30Hz). Withthe results of the subjective sensibility test for the ordor, the orange was related to pleasant and familiar and the valeric acid was realted to snpleasant and bothersome. There is the difference between orange and valeric acid in alphal at PG2-A2 channel. While the unpleasant stimuli seem to be increased in alphal, alpha2 and beta waves at all channels. Also, the heart rate, galvaric skin resistance seem to be decreased by pleasant stimuli and thd unpleasant stimuli shdwed the opposite. In respiration, respiration rate had been declinig tendency, and input/output ampoitued and duration showed an upward trend by olfactory stimulation with orange, while opposite by valeric acid. In conclusion, the consistent EEG changes and the autonomic responses suggests the possibilities of the subjective signal of human sensibility.

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The Effect of Electroacupuncture at the PC6(Naegwan) and TE5 (Oegwan) on the EEG (내관, 외관 전침 자극이 뇌파변화에 미치는 영향)

  • Yim, Jin-Teck;Kim, Su-Hyun;Lee, Sang-Ryong
    • Journal of Pharmacopuncture
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    • v.6 no.3
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    • pp.91-106
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    • 2003
  • Objectives : The aim of this study was to examine the effects of electroacupuncture(EA) at the PC6(Naegwan) and the TE5 (Oegwan) on nounal humans using power spectral analysis. Methods : EEG power spectrum exhibit site-specific and state-related differences in specific frequency bands. In this study, power spectrum was used as a measure of complexity. 30 channel EEG study was carried out in 30 subjects(30 males ; age=23.7 years). Results : In ${\alpha}$(alpha) band, the power values at F7 channels(p<0.05) during the PC6-acupoint treatment were significantly were decreased. In ${\beta}$(beta) band, the power values at Fp1, Fz, TT1, T5, P3, P4, Po1, P02, O1, Oz, O2 channels(p<0.05) during the non-acupoint treatment and at Fp1, F4, F8 channels(p<0.05) during the TE5-acupoint treatment significantly were increased. In ${\theta}$(theta) band, the power values at Fp1 channels(p<0.05) during the non-acupoint treatment and at Oz channels(p<0.05) the TE5-acupoint treatment significantly were increased. but, the power values at F7 channels(p<0.05) during the non-acupoint treatment were significantly were decreased. In ${\delta}$(delta) band, the power values at TCP1, TCP2, CP1, T5 channels(p<0.05) during PC6-acupoint treatment were increased and the power values at F7, TT2 channels(p<0.05) during non-acupoint treatment were increased. but, the power values at the TE5-acupoint treatment significantly was decreased than the before-acupuncture treatment.

The Changes of Electroencephalography According to Emotional Stimulus in Sasangin (정서자극이 사상인(四象人)의 뇌파 변화에 미치는 영향)

  • Lee, Sang-Gi;Kim, Young-Won;Shin, Dong-Yun;Lim, Mi-Kyoung;Yi, Ja-Hyeong;Song, Jung-Mo;Kim, Lak-Hyung
    • Journal of Sasang Constitutional Medicine
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    • v.19 no.2
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    • pp.113-126
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    • 2007
  • 1. Objectives The objective of this study was to measure the differences of EEG changes accoring to emotional stimulus in Sasangin. 2. Methods 44 healthy volunteers(Soyangin 10, Soeumin 14, Taeumin 20) were participated. Sasang Constitution was diagnosed by Sasang specialist. Volunteers watched horror movie as the emotional stimulus. We recorded EEG data during pre-stimulus rest(120sec), during-stimulus(197sec), rest-stimulus(120sec). Power spectral analysis was done and relitive power and ${\alpha}/{\beta}$ ratio were compared among each groups. 3. Results (1) The mean of relative ${\alpha}$ of Taeumin was significantly decreased according to stimulus compared with Soyagnin. (2) Relative ${\alpha}$ of Soeumin was significantly decreased in T3 area according to stimulus compared with Taeumin. (3) Relative ${\beta}$ of Taeumin group was significantly increased in Fp2 area according to stimulus compared with Soeumin. 4) Relative $high-{\beta}$ of Soyangin group was significantly decreased in F3 by the post-stimulus rest compared with Soeumin. (5) ${\alpha}/{\beta}$ ratio of Soeumin was significantly increased according to stimulus compared with other groups. 4. Conclusions Soyangin showed sensitive changes according to the emotional simulus compared with Soeumin and Taeumin. Above results suggest that the emotional characteristics of Sasangin can be measured by objective methods as by EEG.

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EEG Dimensional Reduction with Stack AutoEncoder for Emotional Recognition using LSTM/RNN (LSTM/RNN을 사용한 감정인식을 위한 스택 오토 인코더로 EEG 차원 감소)

  • Aliyu, Ibrahim;Lim, Chang-Gyoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.4
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    • pp.717-724
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    • 2020
  • Due to the important role played by emotion in human interaction, affective computing is dedicated in trying to understand and regulate emotion through human-aware artificial intelligence. By understanding, emotion mental diseases such as depression, autism, attention deficit hyperactivity disorder, and game addiction will be better managed as they are all associated with emotion. Various studies for emotion recognition have been conducted to solve these problems. In applying machine learning for the emotion recognition, the efforts to reduce the complexity of the algorithm and improve the accuracy are required. In this paper, we investigate emotion Electroencephalogram (EEG) feature reduction and classification using Stack AutoEncoder (SAE) and Long-Short-Term-Memory/Recurrent Neural Networks (LSTM/RNN) classification respectively. The proposed method reduced the complexity of the model and significantly enhance the performance of the classifiers.

Detrended Fluctuation Analysis of EEG on a Depth of Anestheisa (뇌파신호의 DFA 분석을 이용한 마취심도 측정)

  • Ye, Soo Young;Baek, Seung-Wan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.7
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    • pp.2491-2496
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    • 2010
  • The DFA(detrended fluctuation analysis) which is included the correlation property of the EEG is used to analysis the depth of anesthesia. We studied ASA I or II adult patients supported by the society of anesthesiologists. Patients with history of dementia and neurological disorder are excluded. Average age is $48.9{\pm}10.9$ old, average weight is $57.1{\pm}8.2$ kg and average hight is $158{\pm}6.6$cm of the patients under the operation. Anesthesia medicine is Sevoflurane and the stages of anesthesia are 6 stages, that is pre-operation, induction, right after induction, stop the medicine and post-operation. Among the scaling exponent ${\alpha}1$, ${\alpha}2$, ${\alpha}3$ we know that ${\alpha}1$, ${\alpha}3$, were well appeared to discriminate pre-operation, induction, right after induction, stop the medicine and post-operation. So we confirmed that the parameters is useful to the depth of anesthesia.

Research on development of electroencephalography Measurement and Processing system (뇌전도 측정 및 처리 시스템 개발에 관한 연구)

  • Doo-hyun Lee;Yu-jun Oh;Jin-hee Hong;Jun-su chae;Young-gyu Choi
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.17 no.1
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    • pp.38-46
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    • 2024
  • In general, EEG signal analysis has been the subject of several studies due to its ability to provide an objective mode of recording brain stimulation, which is widely used in brain-computer interface research with applications in medical diagnosis and rehabilitation engineering. In this study, we developed EEG reception hardware to measure electroencephalograms and implemented a processing system, classifying it into server and data processing. It was conducted as an intermediate-stage research on the implementation of a brain-computer interface using electroencephalograms, and was implemented in the form of predicting the user's arm movements according to measured electroencephalogram data. Electroencephalogram measurements were performed using input from four electrodes through an analog-to-digital converter. After sending this to the server through a communication process, we designed and implemented a system flow in which the server classifies the electroencephalogram input using a convolutional neural network model and displays the results on the user terminal.

Changes of the Prefrontal EEG(Electroencephalogram) Activities according to the Repetition of Audio-Visual Learning (시청각 학습의 반복 수행에 따른 전두부의 뇌파 활성도 변화)

  • Kim, Yong-Jin;Chang, Nam-Kee
    • Journal of The Korean Association For Science Education
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    • v.21 no.3
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    • pp.516-528
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    • 2001
  • In the educational study, the measure of EEG(brain waves) can be useful method to study the functioning state of brain during learning behaviour. This study investigated the changes of neuronal response according to four times repetition of audio-visual learning. EEG data at the prefrontal$(Fp_{1},Fp_{2})$ were obtained from twenty subjects at the 8th grade, and analysed quantitatively using FFT(fast Fourier transform) program. The results were as follows: 1) In the first audio-visual learning, the activities of $\beta_{2}(20-30Hz)$ and $\beta_{1}(14-19Hz)$ waves increased highly, but the activities of $\theta(4-7Hz)$ and $\alpha$ (8-13Hz) waves decreased compared with the base lines. 2). According to the repetitive audio-visual learning, the activities of $\beta_{2}$ and $\beta_{1}$ waves decreased gradually after the 1st repetitive learning. And, the activity of $\beta_{2}$ wave had the higher change than that of $\beta_{1}$ wave. 3). The activity of $\alpha$ wave decreased smoothly according to the repetitive audio-visual learning, and the activity of $\theta$ wave decreased radically after twice repetitive learning. 4). $\beta$ and $\theta$ waves together showed high activities in the 2nd audio-visual learning(once repetition), and the learning achievement increased highly after the 2nd learning. 5). The right prefrontal$(Fp_{2})$ showed higher activation than the left$(Fp_{1})$ in the first audio-visual learning. However, there were not significant differences between the right and the left prefrontal EEG activities in the repetitive audio-visual learning. Based on these findings, we can conclude that the habituation of neuronal response shows up in the repetitive audio-visual learning and brain hemisphericity can be changed by learning experiences. In addition, it is suggested once repetition of audio-visual learning be effective on the improvement of the learning achievement and on the activation of the brain function.

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