• Korean Journal of Adult Nursing
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• v.25 no.6
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• pp.644-654
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• 2013

Purpose: The purpose of this study was to examine the effects of aroma foot reflexology massage on mood states specifically depression and brain waves of elderly women with osteoarthritis. Methods: The study was a nonequivalent control group non-synchronized design. The participants were 62 elderly women with osteoarthritis. The instruments were the Korean-Profile of Mood States-Brief for mood states and 8-channel EEG (Electroencephalogram) system for brain waves. Data were collected from March to May, 2012. Twenty-six participants were assigned to the treatment group and twenty-six to the comparison group. The data were analyzed using SPSS/WIN 17.0 version program, and included descriptive statistics, t-test, and ANCOVA. The intervention was conducted three times a week for two weeks. Results: There were significantly improvement in reported depression. s. Brain waves (EEG) increased significantly in F3, T3 of ${\alpha}$ wave and in F4, T3, and P4 of ${\beta}$ wave between the two groups. Conclusion: Aroma foot reflexology massage can be utilized as an effective intervention to decrease depression of mood states, increase of ${\alpha}$, and ${\beta}$ brain wave on woman elderly with osteoarthritis.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.571-577
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• 2017

Through the 2015 Revised Curriculum, programming education is introduced into the elementary school regular curriculum as part of the software education. Effective teaching & learning methods can be presented through an analysis of the effects of programming education on the problem-solving abilities. In this paper, students were divided into two groups according to their academic achievement, a learning program was developed for five times of implementation using the entry and the sensor board for the entry, and classes to which it was applied were conducted. Before and after the classes, a problem-solving test tool was used to measure and analyze the changes in Gamma waves and EEG concentration indicators. As a result, the gamma waves and the concentration indices of the students in the group with high academic achievement showed a tendency to be improved through the programming lessons, and those of the students in the group with poor academic achievement showed no such tendency. Through this, the necessity of the level-specific programming education in consideration of students' academic abilities was suggested.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.459-465
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• 2017

This research aims to assess whether neurofeedback training can reduce theta waves in adolescents. The experiment was conducted on 35 early youths living in Gyeonggi-do at youth counseling centers during April-October. According to circumstances and opinions of participants in the pre-brain analysis, they were classified into a non-training group (A), 12-week training group (B), and 24-week training group (C), containing 10, 15, and 10 members, respectively. EEG measurement and neurofeedback training was performed using the prefrontal 2-channel NeuroharmonyS and Brain Optimization program. EEG data was processed utilizing Brain Analysis ver1.3. Deducted data was converted to SPSS 21.0 to enable statistical processing. As a strategy to reduce theta through the Beta increase training, we applied the appropriate Alpha, SMR, Beta low reward training to the individual. Study results confirmed that theta waves of adolescents decreased through the prefrontal neurofeedback training. Groups (B) and (C) exhibited a greater decrease in theta waves compared with the control group.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.1
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• pp.40-48
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• 2009

Leading of the computer, IT technology has make great strides. As a information-industry-community was highly developed, user's needs to convenience about intelligence and humanization of interface is being increase today. Nowadays, researches with are related to BCI are progress put the application-technology development first in importance eliminating research about fountainhead technology with DB construction. These problems are due to a BCI-related research studies have not overcome the initial level, and not toward a systematic study. Brain wave are collected from subjects is a signal that the signal is appropriate and necessary in the experiment is difficult to distinguish. In addition, brain wave that it's not necessary to collect the experiment, serious eyes flicker, facial and body movements of an EMG and electrodes attached to the state, noise, vibration, etc. It is hard to collect accurate brain wave was caused by mixing disturbance wave in experiment on the environment. This movement, and the experiment of subject impact on the environment due to the mixing disturbance wave can cause that lowering cognitive and decline of efficiency when embodied BCI system. Therefore, in this paper, we propose an accurate and efficient brain-wave DB building system that more exactness and cognitive basis studies when embodied BCI system with brain-wave. For the minimize about brain wave DB with mixing disturbance, we propose a DB building method using an automatic control and prevent unnecessary action, put to use the subjects face tracking.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.387-393
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• 2016

The aim of this study is to analyze the effectiveness of QEEG-based neurofeedback clinical tests on patients diagnosed with anxiety disorder. Researchers tested six patients with anxiety disorder using 32-channel QEEG(Quantitative electroencephalograpy) and neurofeedback training equipment. The study measured anxiety levels of patients using QEEG and BAI physiological psychology tests. Test results found hyperactive beta waves present in all six patients' temporal lobe. The intensity of the wave of the right hemisphere temporal lobe T4(M=31.07) was the higher than that of the left hemisphere temporal lobe 3(M=29.11). Following Neurofeedback training, the beta wave of the right hemisphere lobe was reduced significantly in all patients. The average anxiety level decreased from 23.57 to 12.14 after the neurofeedback training. In addition, among the two patients who were taking medication, one patient reduced his dosage while the other patient discontinued taking medication. This result implies that the QEEG neurofeedback training technique can be effectively applied to patients with anxiety disorder.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.521-534
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• 2016

This study examined the neurophysiological mechanisms of exercise deprivation by investigating differences in emotion changes and EEG prefrontal asymmetry in relation with exercise. Twenty male undergraduate university students in the 23-27 age range, amateur marathon runners, were selected as the participants (n=20) and divided into one of two experimental conditions at random: (1) exercise deprivation group (n=10), and (2) non-exercise deprivation group (n=10). PANAS-X measurement and EEG measurement from F3 and F4 scalp sites were performed at pre-test, 3 days after exercise deprivation, and 5 days after exercise deprivation. Results revealed that participants of EDG significantly decreased a positive effect after exercise deprivation on EEG and self-reported measures, and showed an increased negative effect after exercise deprivation on self-reported measures. In contrast, participants of NEDG significantly increased positive feelings after exercise and showed a decreased negative effect after exercise on EEG and self-reported measures. Our results showed that exercise deprivation increasing negative emotion after exercise deprivation. The findings of this study suggest that EEG frontal brain asymmetry can be used as diagnosing method for exercise deprivation.

• Journal of Veterinary Clinics
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• v.26 no.6
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• pp.539-546
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• 2009

The effect of hemorrhage on the electroencephalogram(EEG) was investigated in fifteen mixed-breed dogs anesthetized with ketamine, propofol and isoflurane. Animals were randomly allocated to three groups (n = 5) by anesthetic agents; group 1 (ketamine 5 mg/kg, IV), group 2 (propofol $156\;{\mu}g$/kg/min, IV) and group 3 (isoflurane 2.0% end-tidal concentration). Medetomidine ($40\;{\mu}g$/kg, IM) was used in all dogs as a preanesthetic agent. Recording electrode for EEG was positioned at CZ. EEG, heart rate, systolic/diastolic blood pressure, $pCO_2$, $pO_2$ and blood pH were measured before anesthesia, after anesthesia and after every bleedings. Three bleedings were accomplished by drawing blood through the femoral artery catheter at a rate of 7 ml/kg (10% of total blood volume) for 10 minutes. In the course of hemorrhage, a systolic/diastolic pressure continuously decreased in all groups. The $pCO_2$ values and heart rates were increased in all groups. The $pO_2$ values were most significantly increased in group 1 compared with those in other groups. The pH values were not significantly changed. On statistical analysis of EEG, there was no significant changes in group 1 and 3. But in group 2, band 3, 4 and 7 were significantly altered after 2nd and 3rd bleeding. Power alterations of band 3, 4 and 7 were thought to be related with hemorrhage over 20% of total blood volume in group 2. In conclusion, the regulation of infusion rate would be considered when a dog, anesthetized with propofol, bleed over 20% of total blood volume.

• Korean Journal of Acupuncture
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• v.24 no.2
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• pp.193-216
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• 2007

Objectives : The aim of this study was to examine the effect of electroacupuncture (EA) at the PC8 on normal human beings by using power spectral analysis. Methods : EEG (Electroencephalogram) power spectrum exhibits site-specific and state-related differences in specific frequency bands. In this study, power spectrum was used as a measure of complexity. 32 channels EEG study was carried out in 20 subjects (20 males; age=26.8 years old). Results : In ${\alpha}(alpha)$ band, the power values at F7, F8, P3 channels(p<0.05) during the $PC_8-acupoint$ treatment significantly decreased. In ${\beta}(beta)$ band, the power values at F4, F8, P3 channels(P<0.05) during the PC8-acupoint treatment significantly decreased. In ${\delta}(delta)$ band, the power values at F7, F8, P3 Po2 channels(p<0.05) during the $PC_8-acupoint$ treatment significantly decreased. In ${\theta}(theta)$ band, the power values at F7, Fz, F4 F8, FTC1, FTC2, CP2, TT2, P3, Pz, Po2 channels(p<0.05) during the PC8-acupoint treatment significantly decreased. Conclusions : This results suggest that Electroacupuncture at the PC8 mostly affect the change on theta(11 channels) bands.

• Journal of Biomedical Engineering Research
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• v.31 no.6
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• pp.456-463
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• 2010

In the present study, we proposed a new subspace scanning algorithm to enhance the spatial resolution of electroencephalography (EEG) and magnetoencephalography(MEG) source localization. Subspace scanning algorithms, represented by the multiple signal classification (MUSIC) algorithm and the first principal vector (FINE) algorithm, have been widely used to localize asynchronous multiple dipolar sources in human cerebral cortex. The conventional MUSIC algorithm used principal component analysis (PCA) to extract the noise vector subspace, thereby having difficulty in discriminating two or more closely-spaced cortical sources. The FINE algorithm addressed the problem by using only a part of the noise vector subspace, but there was no golden rule to determine the number of noise vectors. In the present work, we estimated a non-orthogonal signal vector set using independent component analysis (ICA) instead of using PCA and performed the source scanning process in the signal vector subspace, not in the noise vector subspace. Realistic 2D and 3D computer simulations, which compared the spatial resolutions of various algorithms under different noise levels, showed that the proposed ICA-MUSIC algorithm has the highest spatial resolution, suggesting that it can be a useful tool for practical EEG/MEG source localization.

• 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.