• Title/Summary/Keyword: EEG index

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The methodology on the application of EEG as a diagonostic measures in Korean Traditional Medicine (뇌파의 한의학적 진단 지표로의 활용 방안에 대한 연구초안)

  • Seo, Young-Hyo;Kim, Gyeong-Cheol;Kim, Bo-Kyung
    • Journal of Oriental Neuropsychiatry
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    • v.18 no.1
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    • pp.37-61
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    • 2007
  • Objective : By examining EEG status in Korean Traditional Medicine (KTM) from the viewpoint of 'form-qi theory(形氣論)', We wish to prepare for the fundamentals of applicability of KTM diagnoses to EEG. In addition, through reinterpretation of existing Western Medicine reports from the viewpoint of KTM, We tried to find out interrelationship between them. Method : In this paper, a methodology applicable to KTM diagnoses of EEG is presented from the EEG features in waveform characteristics, personalized diversity, and cognitive activity reflection. Results : Frequency bands are assigned to corresponding one of the eight trigrams in terms of yin/yang balance, which is analogous with EEG spectrum analysis mostly used in EEG quantification. The amplitude ratio of each EEG for each frequency band gives meaningful index numbers which can be used in EEG data interpretation, and every index number is named after the sixty four hexagrams. These approaches are adopted through both '4-band classification system and '6-band classification system', and applied to pre-existing reported EEG data obtained from normal adults. These analyses show that changes and distribution pattern in the index numbers are observed as a whole on both left-right line and front-back line connecting EEG measurement cephalic electrodes. And differences in distribution pattern of three index numbers deduced from '6-band classification system' are discussed according to constitution. Conclusion : The index numbers introduced here, which are the spectral power ratio for each EEG, are based on KTM yin/yang balance. These index numbers vary according to cephalic location, so its application in terms of traditional meridian theory is strongly expected. The index number distribution also shows different patterns according to constitution.

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A Study on mobile based EEG display and device development (모바일기반으로한 EEG표시 및 장치개발에 관한 연구)

  • Lee, Chung-Heon;Kim, Gyu-Dong;Hong, Jun-Eui;Kwon, Jang-Woo;Lee, Dong-Hoon
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.145-147
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    • 2009
  • This research measures EEG signals which are generating on head skin and extracts brain concentration level related with brain activity. We have developed concentration wireless transmission system by displaying this EEG signal on PDA mobile device. The front head was used for measuring EEG signal and INA128 with TL084 and analog elements was used for measuring EEG signal, amplifying and filtering the signal. Measured analog EEG signals changed into digital signals by using ADC of PIC24FJ192 with 10bit resolution and 500Ks/s sampling rate. So The changed digital signals have transmitted to the PDA by using bluetooth. LabView 8.5 was also used for FFT transformation, frequency and spectrum analysis of the transferred EEG signal. As a result, $\alpha$ wave, $\beta$ wave, $\theta$ wave and $\delta$ wave were classified. we extracted the concentration index by adapting concentration extraction algorithm. This concentration index was transferred into PDA by wireless module and displaying.

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Development for the Index of an Anesthesia Depth using the Power Spectrum Density Analysis (뇌파 스펙트럼 분석에 의한 마취 심도 지표 개발)

  • Ye, Soo-Young;Baik, Swang-Wan;Kim, Jae-Hyung;Park, Jun-Mo;Jeon, Gye-Rok
    • Journal of Biomedical Engineering Research
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    • v.30 no.4
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    • pp.327-332
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    • 2009
  • In this paper, new index was developed to estimate the depth of anesthesia during general anesthesia using EEG. Analysis of the power spectral density(PSD) of EEG was used to develop new parameters because EEG signal tends to have slow wave during anesthesia. Classifier for index creator was developed by using SEF, BDR and BTR parameters, which are calculated by power spectral density. EEG data were obtained from 7 patients (ASA I, II) during general anesthesia with Sevoflurane. The anesthetic depth evaluation indexes ranged from 0 to 100. The average were $86.05{\pm}10.1$, $36.98{\pm}20.2$, $15.33{\pm}13.6$, $50.87{\pm}16.5$ and $87.72{\pm}11.7$ for the states of pre-operation, induction of anesthesia, operation, awaked and post-operation, respectively. The results show that while the depth of anesthesia was evaluated, more accurate information can be provided for anesthetician.

A Study on EEG based Concentration transmission and Brain Computer Interface Application (뇌파기반 집중도 전송 및 BCI 적용에 관한 연구)

  • Lee, Chung-Heon;Kwon, Jang-Woo;Kim, Gyu-Dong;Lee, Jun-Oh;Hong, Jun-Eui;Lee, Dong-Hoon
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.155-156
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    • 2008
  • This research measures EEG signals which are generating on head skin and extracts brain concentration level related with brain activity. We develop concentration wireless transmission system for controlling hardware by using this signal. Two channels are used for measuring EEG signal on front head and Biopac system with MP-100 and EEG100C was used for measuring EEG signal, amplifying and filtering the signal. LabView 8.5 was also used for FFT transformation, frequency and spectrum analysis of the measure EEG signal. As a result, ${\alpha}$ wave, ${\beta}$ wave, ${\theta}$ wave and ${\delta}$ wave were classified. we extracted the concentration index by adapting concentration extraction algorithm. This concentration index was transferred into lego automobile device by wireless module and applied for BCI application.

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Analysis of EEG Signals for Attention Training Game Contents (주의력 훈련 게임 콘텐츠에 대한 EEG 신호 분석)

  • Kang, Sung-Ho;Park, Jung-Hyun;Shin, Sung-Wook;Chung, Sung-Taek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.3
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    • pp.83-90
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    • 2019
  • Recently, the need to prevent or treat cognitive impairment in older adults has been arising. In particular, they tried to diagnose MCI as an early stage of Alzheimer's disease and to delay the progression to dementia through training cognitive function. Most of cognitive function training have been manufactured to game contents which related to several cognitive function, and it needs to be verified quantitatively whether subjects are paying attention to cognitive function training. Thus in this study, we measured and analyzed EEG signals while performing attention training game contents. As an analysis method, we utilized CI, which shows how much they are focusing on, and RI, which shows how stable they are. The result of this study can be seen that all the subjects' CI were increased, which means that the subjects performed game contents with concentration.

EEG Analysis of Learning Attitude Change of Female College Student on e-Learning (여대생의 이러닝 학습태도 변화에 따른 뇌파 분석)

  • Jang, Jae-Kyung;Kim, Ho-Sung
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.42-50
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    • 2011
  • Using EEG, human physiological signal, as part of research which investigates the state of student learning and provides appropriate feedback to maximize learning efficiency, the relationship of learning attitude and analysis of EEG for female college student is presented. We study the reaction of learner's EEG using the concentration level extracted from the EEG power spectrum when students learn at various learning attitude. The experiment was conducted for the concentrating on learning and, as a control group, erratic attitude and closed eyes state. The attitude of concentrated Learning shows high concentration index and low relaxation index, where as the erratic attitude, such as eye movement and clicking, shows high level of attention index and noisy wave ratio. Especially, the state of closed eyes shows the ratio of alpha and theta wave under 1. This is distinct with open eyes cases.

A Study on the Correlation Analysis of EEG and Vibraimage due to Auditory and Olfactory Stimulation (청각 및 후각자극에 의한 뇌파(EEG)와 진동이미지기술의 상관성 분석에 관한 연구)

  • Kim, Jung-Min;Kim, Myung-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.4291-4297
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    • 2015
  • EEG has been used to measure the emotion of amenity and discomfort in the interior space. EEG is limited to the experiment, because it is a equipment of contact type. However, Vibraimage can measure the emotion with a web camera. Because Vibraimage is a equipment of non-contact type, it is more suitable for the interior space than EEG. Therefor, it tries to find a correlation variable between EEG and Vibraimage to measure the human emotions. In this study, it were analyzed correlation of EEG and vibraimage due to variation of loudness 60[dB], 90[dB] and rosemary, jasmine scents. Check the health status of subjects who were selected 3 male students, and the period of this experiment was about months. The condition of the environmental test room was in temperature 25[$^{\circ}C$], relative humidity 50[RH%], air current speed 0.02[m/s] and illuminance 1000[lux]. It were analyzed correlation of twenty-three index of EEG(absolute ${\theta}$, relative ${\theta}$, absolute $S{\alpha}$, relative $S{\alpha}$, absolute ${\alpha}$, relative ${\alpha}$, absolute ${\beta}$, relative ${\beta}$, absolute $\gamma$, relative $\gamma$, absolute $F{\alpha}$, relative $F{\alpha}$, absolute SMR, relative SMR, $SMR/{\theta}$, $SMR+M{\beta}/{\theta}$, absolute $H{\beta}$, relative $H{\beta}$, $H{\beta}/{\alpha}$, absolute $M{\beta}$, relative $M{\beta}$, SEF50, ASEF50) and ten index of Vibraimage(Aggression, Stress, Tension/Anxiety, Suspect, Balance, Charm, Energy, Self regulation, Inhibition, Neuroticism). As a result, I was found that relative ${\gamma}$ index of EEG and neuroticism index of Vibraimage have a high correlation as (${\pm}$).414 and (${\pm}$).424.

A Study on the Correlationship between EEG Complexity by Nonlinear Dynamics Analysis and Impedance Cardiography (비선형 동역학적 방법을 통한 뇌파 복잡도와 임피던스 심장기록법(ICG) 지표와의 상관성 연구)

  • Ryu, Jae-Min;Park, Young-Bae;Park, Young-Jae
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.11 no.2
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    • pp.128-140
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    • 2007
  • Purpose: We performed this study to examine the correlationship between EEG complexity and impedance cardiography data using correlation analysis. Method: This study performed on 30 healthy subjects(16 males, 14 females). Before and after natural respiration, ICG data were recorded, and EEG raw data were measured by moving windows during 15 minutes. The correlation dimension(D2) was calculated from 15 minutes data. 8 channels EEG data were analysed with 9 index of ICG data by correlation analysis. Result: 1. ACI of impedance cardiography had significant correlationship with ch.4 of EEG complexity(p=0.03). 2. VI of impedance cardiography had significant correlationship with ch.3 of EEG complexity(p=0.034) and ch.4 of EEG complexity(p=0.017). 3. HR, TFC, PEP, LVET, STR of impedance cardiography had no significant correlationship with all of 8 channel EEG complexity. Conclusions: These results suggest that nonlinear analysis of EEG and impedance cardiography have some significant correlationship. And it can make out relationship between brain system and cardiovascular system. In the future, therefore, more study of these fields are necessary.

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Spectral and Nonlinear Analysis of EEG in Various Age Groups (뇌파의 연령별 스펙트럼 및 비선형적 분석)

  • Joo, Eun-Yeon;Kim, Eung-Su;Park, Ki-Duck;Choi, Kyoung-Gyu
    • Annals of Clinical Neurophysiology
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    • v.3 no.1
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    • pp.31-36
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    • 2001
  • Background & Objectives : Fractal Dimension(FD) could be an index of correlation between variable parameters in non-linear chaotic signals. We tried to demonstrate that EEG wave is compatible with chaotic waves by measuring the Lyapunov exponent index and compared the difference of FD between variable age groups(teens, 30's, 50's) Methods : We estimated the Lyapunov exponent index and the FD from digital EEG data among five persons in each normal age groups by using the software which is programmed in our laboratory. Statistical analysis was done with SPSS win 8.0. The statistical differences of Lyapunov exponent index and FD between each electrodes and each age groups were done with ANOVA and paired sample t-test. Result : The Lyapunov exponent indexes were larger than 1 in each electrode and age group. There is no statistical difference in FD between each electrodes and each age groups. Except in 30th age group. In this group the FD of right hemisphere is larger than that of left hemisphere. Conclusion : The result of Lyapunov exponent index means EEG wave is a non-linear chaotic signal. And the results of FD suggest that chaotic parameters of right hemisphere is larger than those of left hemisphere at rest at least in younger people. We think that chaotic parameters can be a useful tool in investigating the variable diseases or brain states.

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EEG responses in highschool students during visual attention task (정신집중시 고교생의 EEG 반응)

  • 강인형;민병찬;진승현;김철중
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2003.05a
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    • pp.107-110
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    • 2003
  • 본 연구에서는 EEG를 이용하여 정신집중 시, 뇌 기능의 변화를 알아보았다. 실험은 건강한 남녀 고교생 9명을 대상으로 EEG는 Fp1. Fp2, F3, F4, P3, P4, T5, T6, O1, O2의 10위치에 대하여 정신집중 작업 진의 3분과 작업 시 30분간을 측정하였다. 작업은 PC를 이용하였으며 모니터 상의 움직임에 집중하고 목표자극을 탐지하였을 때 신속하게 적절한 반응키를 누르도록 하였다. 각 주파수 대역은 theta2와 (6.0-8.0Hz), alpha1파 (8.0-10.0Hz), alpha2파(10.0-12.0Hz)로 구분하였으며 비대칭지수를 이용하여 분석하였다. 그 결과, 정신집중 작업 시 theta1, theta2, alpha1대역에서 두정엽의 우반구과 측두엽 및 후두엽의 좌반구영역이 우세하였다. 이들 영역은 시갈, 지각, 움직임 기능을 수행하며 theta2파가 주의, alpha1파가 각성 관련이다. 이상의 결과에서 두정엽의 우반구와 측두엽 및 후두엽의 좌반구영역의 theta1파, theta2파, alpha1파가 정신집중 작업 시 중요한 역할을 담당하는 것으로 나타났다.

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