• Journal of the Korean Applied Science and Technology
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• v.35 no.4
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• pp.1175-1184
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• 2018

The purpose of this study was to investigate effects of 12-weeks finswimming exercise on electroencephalogram(EEG), SBP, DBP, and RHR in male adolescents. Eighteen male adolescents participated in this study. They were separated into a Control group(CG; n=9) and Finswimming training group(FG; n=9). FG participated in Finswimming training for 12weeks, 60 minutes per day, 3 times a week. All data of electroencephalogram were analyzed by repeated measures two-way ANOVA and Data of SBP, DBP and RHR were analyzed by ANCOVA and Paired t-test. As a result, Alpha and SMR waves were significantly increased in FG; however, Alpha wave was significantly decreased in CG and Theta wave was significantly decreased in FG. There were significant interaction in Alpha, Theta, and SMR waves. SBP, DBP, and RHR were significantly decreased in FG and there were significant differences of RHR and SBP between groups; otherwise, there were no significant differences of DBP between groups. The results of this study showed that 12 weeks of Finswimming training positively effects on electroencephalogram(EEG), SBP, DBP, and RHR in male adolescents.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.12
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• pp.1421-1426
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• 2014

Many people complain their big or little stress due to the complicated city life in modern times, so they are exposed of the mental illness. Especially, not only students and office workers but also most people suffer from degradation of efficiency at work and keeping the high quality of life because of the insufficiency of concentration ability. To improve the concentration ability, the meditation is a substitution. The influence of meditation for the concentration ability is experimented with EEG brainwave. Some experienced meditators are participated for the experiments, and the left and right portion of prefrontal lobe, AF3 and AF4, are measured and analyzed. As a result, the changes of rhythmic activity of a unique pattern and power spectra are observed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.127-132
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• 2019

This study examined the change in the attention of University students after being given Transcranial Direct Current Stimulation (tDCS). The participants were divided randomly into two group (tDCS vs. Control). tDCS was applied to 37 university students ($23.08{\pm}3.33years$). The tDCS group was applied 2 mA, for 13 minutes twice over a 26 minute period ($n_1=19$). The control ($n_2=18$) was not applied after padding and was applied twice for 13 minutes over a 26 minute period. This study was conducted from September 3 to 28, 2018 and three times a week for a total of four weeks. The electroencephalogram was confirmed to affect attention. tDCS showed significant improvement in the results in the sensory motor rhythm wave (p<0.01, 95% CI: -1.955, -0.459), middle beta wave (p<0.05; 95% CI: 0.027, 0.943), and power ratio (p<0.01, 95% CI: -1.764, -0.315). The results showed that tDCS application increased the attention ability significantly. These results can be applied to attention deficit disorder (ADHD) patients and college students.

• Journal of Oriental Neuropsychiatry
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• v.29 no.2
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• pp.79-97
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• 2018

Objectives: The purpose of this systematic review was to investigate the clinical effects of neurofeedback training on reducing anxiety. Methods: Eight databases were used to extract clinical reports on neurofeedback intervention for anxiety reduction published until 2016. We analyzed the characteristics of selected studies and evaluated biases using the Risk of Bias (RoB) assessment. Results: A total of 22 clinical trials were extracted for the analysis. The risk of bias in most studies was high or unclear. The Chinese Classification of Mental Disorders-3 (CCMD-3) was the most frequently used diagnostic criteria, the Hamilton Rating Scale for Anxiety (HAMA) was the most frequently used assessment tool, and the alpha wave activity increase, sensorimotor rhythm (SMR), and theta wave training were the most frequently used intervention methods. All papers showed a statistically significant decrease of anxiety symptoms; however, significant adverse events were not reported. Conclusions: Neurofeedback intervention might be beneficial for reducing anxiety. However, the quality of the studies used in the analysis was low, and the heterogeneity of the population and interventions was revealed. Therefore, more scientifically designed clinical studies regarding neurofeedback training are required.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.54 no.7
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• pp.308-314
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• 2005

The 2 GHz film bulk acoustic wave resonator(FBAR), one of the most necessary device of the next generation mobile communication system, consisted of solidly mounted resonator(SMR) structure using Brags reflector, was researched in this paper The FBAR applied SiO$_{2}$ and W had large difference of the acoustic impedance to reflector Al to electrode and ZnO to piezoelectric layer. Specially, the FBAR applied the two-step deposition method to improve the c-axis orientation and increase reproducibility of the fabrication device had good performance. The electrical properties of plasma such as impedance, resistance, reactance, $V_{pp},\;I{pp}$, VSWR and phase difference of voltage and current, was analyzed and measured by RF sensor with the variable experiment process factors such as gas ratio, RF power and base vacuum level about concerning the thickness, c-axis orientation, adhesion and roughness. The FBAR device about the optimum condition resulted reflection loss(S$_{11}$) of -17 dB, resonance frequency of 1.93 GHz, electric-mechanical coefficient(k$_{eff}$) of 2.38 $\%$ and Qualify factor of 580. It was seen better qualify than the common dielectric filter at present and expected on business to the filter device of 2 GHz bandwidth with the MMIC technology.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.2
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• pp.41-46
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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 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 MP100 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 measured EEG signals. As a result, SMR wave, Mid-Bata wave, $\Theta$ wave classified. We extracted the concentration index by adapting concentration extraction algorithm. This concentration uldex was transferred into logo automobile device by wireless module and applied for BCI application.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2170-2178
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• 2014

In this paper, electroencephalographic (EEG) signal of one among subjects measured biosignal with visual evoked stimuli inducing the concentration was analyzed to detect the changes in the attention status during attention task fulfillment from January to February, 2011. The independent component analysis (ICA) was applied to EEG signals to isolate the attention related innate source signal within the brain and Electroculogram (EOG) artifact from measured EEG signals at the scalp. The consecutive accumulation of short time Fourier transformed (STFT) attention source signal with excluded EOG artifact can enhance the regular depiction of EPOCH graph and spectral color map representing time-varying pattern. The extracted attention indices associated with somatosensory rhythm (SMR: 12-15 Hz), and theta wave (4-7 Hz) increase marginally over time. Throughout experimental observation, the ICA with STFT can be used for the assessment of participants' status of attention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.536-547
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• 2020

This study analyzed the correlation between adolescents' smartphone addiction as well as depression, self-esteem, and self-regulation based on QEEG (Quantitative Electroencephalogram) analysis. The study period was from March 19 to July 12, 2019, and the subjects were 76 students at P Middle School in Gyeonggi-do (normal group 47, risk group 29) who filled out a questionnaire and were subjected to quantitative EEG. The data analysis was performed via frequency analysis, independent t-test, correlation analysis, and path analysis of the IBM SPSS Statics 21.0 program. First, smartphone addiction had a positive correlation with depression. Second, smartphone addiction showed a negative correlation with self-esteem and α wave. Third, depression showed a negative correlation with self-esteem, which did not show a significant correlation with self-regulation. Fourth, depression was higher in the risk group than the normal group. For self-esteem, the normal group scored higher than the risk group. Self-regulation showed higher significant differences with the normal group than the risk group. Fifth, for α wave and SMR, the normal group scored higher than the risk group. Sixth, α waves had a negative effect on smartphone addiction. This study is meaningful in that it applied a brain science approach using quantitative analysis for objective evaluation of smartphone addiction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2329-2337
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• 2013

This study was done objected to the chronic stroke patients in order to evaluate change in brain wave activity and cognitive performance when Neurofeedback training. The subjects were over 6 months ago in chronic stroke patients screened-test through the 20 patients, 10 persons in each group were randomly placed. This was carried out in 4 weeks in total, with control group(n=10) on general physical therapy and experimental group(n=10) on general physical therapy along with Neurofeedback training. The general physical therapy was applied 5 times a week, 30 minutes at once, Neurofeedback training was applied as equally as the general physical therapy, which makes 20 times in total. To learn about the effect before the training, after training, and 2 weeks after the training in electric physiological measurement method of the brain, electroencephalogram(EEG) to examine challenges by calculating the absolute spectrum power for standard EEG change(%), followed by evaluation with clinical assessment tool MMSE-K, Stroop Test, Digit Span Test. As a result of comparing the change in brain wave through EEG, after training and 2 weeks after training showed that absolute ${\alpha}$-power and absolute ${\beta}$-SMR power of experimental group have increased and absolute ${\theta}$-power decreased significantly compared to experimental group I. Moreover, the MMSE-K score in trial appraisal has increased significantly, and the error in Stroop Test and Digit Span Test has decreased significantly. such results, with the chronic stroke patient's brain wave control, Neurofeedback training was determined to improve the cognitive performance. this study suggests a new training possibility of stroke patients by identifying the training effects of Neurofeedback training that trains the brain directly with brain wave control.