• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1994_1995
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• 2009

주의력이 부족하거나 산만함으로 인하여 문제 해결 능력이 저하되거나, 자율적이며 자생적인 사고의 부족으로 자기 주도 학습이 안되는 이를 도와주는 뉴로피드백 기술을 개발하고자, 집중력과 뇌파 영역의 상관관계를 연구하였다. 양궁게임을 집중력을 유발시키는 도구로 사용하였으며, 개발한 2채널 뇌파 측정기로 뇌파를 측정하여 주파수 분석을 하였다. Beta파, SMR파, High Beta파가 집중과 상관관계가 높음을 도출하였다.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.312-314
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• 2012

본 연구는 2011년 6월부터 2012년 2월까지 S시 I병원과 B센터에 비만치료를 위하여 방문한 내담자 초중고등학생 51명의 뇌파를 검사하여 스트레스저항 능력과의 상관성을 보고자 하였다. 뇌파측정을 통한 뇌기능은 시계열 선형분석 방법을 사용하였으며 비만도는 Body Composition Analysis으로 측정 비교하였다. 연구의 결과로는 체성분 측정결과가 높을 수록 스트레스 저항 능력이 낮았으며 유의미한 결과를 나타냈다. 이 결과는 스트레스 저항 능력을 조절함으로써 비만과 관련된 긍정적인 효과를 유도 할 수 있는 방법을 도출함에 의의가 있다고 본다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3833-3838
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• 2010

Brainwave can be the most effective means of detecting the state of the brain that changes moment by moment. Since brain has closed relations with hormones which are a foundation of metabolism, it needs to examine closely the mutual relationship between brainwave and hormone. We examined the possibility to find out such information about metabolism by comparing brainwave with cortisol hormone. The major variables are anti-stress quotient of brainwave and cortisol density which give stress information of the working women, to measure from March 3 to May 28, 2007. To find out the relationship between them, we performed such statistical analysis about the before and after of brainwave training as t-test, correlational analysis and regression analysis. We obtained following results: First, considerable changes of variables is shown by brain-wave training. Second, there exist a correlation between variables. Third, according to regression analysis, influence between variables is verified. Thus, we found that stress information of hormone analytical level can be obtined only through brainwave analysis.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.519-525
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• 2023

The human brain constantly emits electrical impulses, which is called brain waves, and brain waves can be defined as the electrical activity of the brain generated by the flow of ions generated by the biochemical interaction of brain cells. There is a study that emotion is one of the factors that can cause stress. Brain waves are the most used in the study of emotions. This paper is a study on whether emotions affect stress, and showed two images of fear and joy to four experimenters and divided them into three stages before, during, and after watching. As a measurement tool, brain waves at the positions of Fp1 and Fp2 were measured using the NeuroBrain System, a system that can automate brain wave measurement, analysis, brain wave reinforcement, and suppression training with remote control. After obtaining the brain wave data for each emotion, the average value was calculated and the study was conducted. As for the frequency related to stress, the values of Alpha and SMR, Low Beta, and High Beta were analyzed. Brainwave analysis affects stress depending on the emotional state, and "fear" emotions cause anxiety by raising Beta levels, resulting in higher Mind Stress levels, while "joy" emotions lower Beta levels, resulting in a significant drop in Mind Stress.

• Journal of KIISE:Software and Applications
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• v.35 no.3
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• pp.169-178
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• 2008

Cancer patients have been suffered from the instability of mind/body and unbalanced homeostasis because of cancer progression and medical treatment such as chemotherapy, It is very important that appropriated actions can be promptly taken by monitoring cancer patients' mental conditions. For this reason, it is crucial to develop a monitoring method which is convenient and not harmful to their body. Brain-computer-interface(BCI) system is introduced for the purpose in this paper. Prefrontal brain waves of cancer patients and control groups have been measured by a portable neurofeedback(NF) system based on self-regulation of the human electroencephalogram(EEG). The NF system consists of the portable EEG amplifier and a headband with dry electrodes placed on Fp1 and Fp2 sites. Patterns of the prefrontal brain waves taken by computer are correlated to brain quotients by EEG-analysis program. Basic rhythm quotient, attention quotient, emotional quotient, anti-stress quotient and correlation quotient of control group have shown high significant level compared with the cancer patients group. On the other hand, the EEG patterns analysis is shown its possibility to be an important methodology of monitoring cancer patients' condition.

• Journal of Korea Game Society
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• v.10 no.6
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• pp.115-124
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• 2010

In the beginning brain waves were used for monkeys to control robot arm with neural activity. In recent years there are research that measured brain waves are used for the control of programs which monitor the progression of dementia or enhance of attention in children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). Moreover, low-price devices that can be used as a game control interface have become available. One of the problems associated with control using brain waves is that the mean amplitude, mean wavelength, and mean vibrational frequency of the brain waves differ from individual to individual. This paper attempts to propose a method to normalize measured brain waves using normal distribution and calculate the waveforms that can be used in controlling games. For this, a framework in which brain waves are converted in seven stages has been suggested. In addition, the estimation process in each stage has been described. In an experiment the waveforms of two subjects have been compared using the proposed method in the BCI English word learning program. The level of similarity between two subjects' waveforms has been compared with correlation coefficient. When the proposed method was applied, both meditation and concentration increased by 13% and 8%, respectively. Because the proposed regularization method is converted into a waveform fit for control functions by reducing personal characteristics reflected in the brain waves, it is fitting for application programs such as games.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.166-175
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• 2017

This study examined children from two families exposed to domestic violence and had psychological counseling in July 2017 at KOVA, a support organization for crime victims. The subjects were exposed to family violence in excess of 10 years and was protected by the shelter with their mothers who had filed complaints with the local police. Victims of domestic violence often face difficulty in avoiding the source of aggression, and thus experience repetitive attacks. This research was conducted at the Buddhism Brain Research Facility, Seoul University, to identify and quantify the emotional characteristics of the affected children in which it is difficult to escape from their living conditions. Data was collected by BrainMaster, a 19-channel examination kit, and analyzed by NeuroGuide. As a result of analyzing the emotional characteristics of the affected children through Quantitative EEG and brain topographical map, we found an increase of slow wave and problems with abnormality of Alpha, High Beta in the left and right Frontal area asymmetry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.482-492
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• 2019

This study began with the assumption that the phonetics-centered interpretation of 100 Chinese characters would enhance thinking ability and comprehension. For this purpose, two experimental groups and a comparative group were recruited from the graduate students from June 3, 2017 to February 22, 2018. The experimental group participated in the phonetics-centered Chinese character lecture for 4 hours per week for 6 weeks for a total of 24 hours. QEEG were measured before and after the phonetics-centered Chinese character lecture. A total of 18 subjects ( nine subjects in the experimental group and nine comparative subjects) were included in the study, and the difference between before and after the QEEG of the experimental and comparative groups was analyzed, respectively. The conclusions drawn from this study are as follows. First, the Chinese character lecture changed brain waves. Second, the LORETA analysis before and after the lecture in the experimental group significantly decreased the delta wave in the brain region (Broadmann 40) associated with the meaning of language and phonology. This study result is meaningful because it shows the significant changes of EEG via the lecture.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.177-184
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• 2015

Brain-computer interface is (BCI) is a communication device that the brain activity is directly input to the computer without input devices, such as a mouse or keyboard. As the brain wave interface hardware technology evolves, expensive and large EEG equipment has been downsized cheaply. So it will be applied to various multimedia applications. Among BCI studies, we suggest the domestic and foreign research trend about how the BCI is applied about the game almost people use. Next, look at the problems of the game with the BCI, we would like to propose the future direction of domestic BMI research and development.

• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.226-233
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• 2004

The purpose of this study was to test whether the degrees of desyncronization in cranial nerves were related to correlation coefficient between brain waves measured on scalp. Based on the hypothesis. this research intended to describe the patterns of brain wave during scientific reasoning. EEG (electroencephalography) signals in 19 electrodes were recorded from elementary (6th grade) and middle (7th, 8th grade) school students as they performed roller-ball tasks: planning experiment, cognitive conflict, bridging, metacognition, and at rest (eyes closed and eyes opened). The results showed that the smaller the correlation coefficient was, the bigger the degrees of desyncronization. As compared to resting periods, the correlation coefficients in prefrontal and frontal lobe decreased during scientific reasoning. And the nerves in prefrontal and frontal lobes were most active during scientific reasoning. These results suggest that the correlation coefficient in addition to frequency of brain waves be analysed to get meaningful results of researches on scientific reasoning by brain wave.