• Annals of Clinical Neurophysiology
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• v.8 no.2
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• pp.135-145
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• 2006

Background: Parkinson's disease is movement disorder due to dopaminergic deficiency. It has been noted that cognitive dysfunction also presented on Parkinson's disease patients. But, it is not clear whether such a cognitive dysfunction was a dopaminergic dysfunction or cholinergic dysfunction. Using linear and non-linear analyses, we analysed the effect of cognitive and motor symptom on EEG change. Methods: EEGs were recorded from patients with Parkinson's disease and essential tremor, and normal controls during rest. We calculated the power spectrum, correlation dimension and Lyapunov exponent by using 'Complexity'program. The power spectrum, correlation dimension, and Lyapunov exponent were compared between Parkinson's disease patients and essential tremor patients. Results: Theta power was increased in Parkinson's disease patient group. Correlation dimension was increased in Parkinson's disease patients. Positive correlation was noted between MMSE and correlation dimension, and negative correlation was noted between MMSE and Lyapunov exponent. Lyapunov exponent was decreased in Parkinson's disease patient. Conclusions: We conclude that the state of Parkinson's disease patient is characterized by increased correlation dimension and decreased Lyapunov exponent.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.59-67
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• 2022

The main purpose of this study is to quantitatively grasp the effectiveness of the gardening program by conducting a gardening program to induce active activities of the elderly and to induce healing functions and social activities, and then observing the results before and after implementation. In order to achieve the purpose of the study, as a result of conducting 30 gardening programs for 20 elderly people at two elderly care facilities, the measure of depression was found to have an improvement effect as a practice-oriented program, and it was found to revitalize the elderly. In addition, it was found that the quality of life was improved by the gardening program, and it was found to be helpful in activating the brain.

• Journal of Biomedical Engineering Research
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• v.43 no.4
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• pp.185-192
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• 2022

Early detection of mild cognitive impairment can help prevent the progression of dementia. The purpose of this study was to design and validate a machine learning model that automatically differential diagnosed patients with mild cognitive impairment and identified cognitive decline characteristics compared to a control group with normal cognition using resting-state quantitative electroencephalogram (qEEG) with eyes closed. In the first step, a rectified signal was obtained through a preprocessing process that receives a quantitative EEG signal as an input and removes noise through a filter and independent component analysis (ICA). Frequency analysis and non-linear features were extracted from the rectified signal, and the 3067 extracted features were used as input of a linear support vector machine (SVM), a representative algorithm among machine learning algorithms, and classified into mild cognitive impairment patients and normal cognitive adults. As a result of classification analysis of 58 normal cognitive group and 80 patients in mild cognitive impairment, the accuracy of SVM was 86.2%. In patients with mild cognitive impairment, alpha band power was decreased in the frontal lobe, and high beta band power was increased in the frontal lobe compared to the normal cognitive group. Also, the gamma band power of the occipital-parietal lobe was decreased in mild cognitive impairment. These results represented that quantitative EEG can be used as a meaningful biomarker to discriminate cognitive decline.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.4D
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• pp.473-481
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• 2009

This research developed integrated service assessment index on satisfaction with road use in consideration of not only quantitative parts, such as the existing traffic speed and delay but also qualitative parts, such as traffic information and traffic safety, etc. The newly devised assessment index developed assessment items and weight using ANP analysis method through the existing research results and questionnaire survey on traffic experts and road users. To verify the developed assessment index, this research measured the feeling degree of road users in time of their driving and analyzed the reasons using the brain waves tester; as an analysis result, the speed shown in the existing assessment index was found to have a 35% effect and further, the factors, such as traffic safety and traffic information were also found to have a lot of effects on the road $users^{\circ}{\emptyset}$ feeling degree. Accordingly, the integrated assessment index suggested by this research has its significance in that it is available to assessment in view of users rather than the existing satisfaction with the service in road use, and this index was developed to reflect the needs of the times, such as a fine view of roads, traffic information, and traffic safety.

• Journal of Broadcast Engineering
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• v.13 no.5
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• pp.602-611
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• 2008

The sound design performed in the production of media contents, such as TV, movie, and CF, have been conducted through the experienced feeling of some experts in the aspect of auditory effects that communicates stories. Also, there have been few studies of the quantitative approach and verification to apply visual and auditory effects felt by users. This study is a non-equivalent control group pretest-posttest design and investigates the difference in communication effects in which the difference in a sound design in the production of media contents that affects users. This study analyzed the brain quotient (BQ) obtained by the measurement of brain waves during the watching of an experiment image (track A) designed by using a 60-second TV CF only and an experiment image (track B) designed by sound effects and music and investigated which sound design represents differences in communication effects for users. The results of this investigation can be summarized as follows: First, in the results of the comparison of the attention quotient (ATQ), which is the BQ of recognition effects, between A and B tracks, the track A showed a higher difference in activation than the track B. It can be analyzed that the sound design based on music showed higher levels in attention and concentration than that of the sound effect design. Second, in the results of the comparison of the emotional quotient (EQ), which is emotional effects, between A and B tracks, the track A represented a higher difference than the track B. It means that the sound design based on music showed higher contribution levels in emotional effects than that of the design based on sound effects. Third, in the results of the comparison of the left and right brain equivalent quotient (ACQ), which is memory activation effects, between A and B tracks, there were no significant differences. In the results of the experiments, although there are some constraints in TV CF based on the conventional theories in which sound effects based design affects strong concentration, and music based design affects emotional feeling, the music based design may present more effects in continued concentration. In addition, it was evident that the music based design showed higher effects in emotional aspects. However, it is necessary to continue the study by increasing the number of subjects for improving the little differences in ACQ. This study is useful to investigate the communication effects of the sound based design in media contents as a quantitative manner through measuring brain waves and expect the results of this study as the basic materials in the fields of sound production.

• Journal of Oriental Neuropsychiatry
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• v.27 no.3
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• pp.169-184
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• 2016

Objectives: To investigate the neurophysiological effect of acupuncture treatment on insomnia patients using quantitative electroencephalography (QEEG) and standardized Low Resolution Brain Electromagnetic Tomography method (sLORETA).Background: Insomnia is one of the commonly encountered symptoms in primary medical care. Recent studies of acupuncture for insomnia reported that the acupuncture groups showed significant improvements compared with the control groups. However, the neurophysiological mechanism of acupuncture in the treatment of insomnia has not been revealed and a few studies have measured the effect of acupuncture treatment using QEEG.Methods: Participants who had some problems in initiating or maintaining sleep, or had non-restorative sleep for more than 3 days a week and ISI scores above 8 and below 21 were treated by acupuncture for 2 weeks (3 times a week, total 6 times). We assessed the effectiveness of acupuncture for insomnia by the PSQI (Pittsburgh Sleep Quality Index) at baseline and at 2 weeks after the end of treatment (4th week). Also, we performed EEG and analysed the EEG data at baseline and at the end of treatment (2nd week) on the linked ears montage using the Neuroguide software program and sLORETA.Results: Thirty-two participants were enrolled and 2 participants dropped out because of personal reasons. Among the 30 participants, EEGs of 12 participants were included in the analysis of QEEG and sLORETA. Total score on the ISI and PSQI was significantly decreased after acupuncture treatment. The number of electrodes exceeding the range of 90% (±1.65) or 95% (±1.96) in the z scored absolute power of beta was significantly decreased after acupuncture treatment. There was no significant change in brain activation between pre- and post-acupuncture using sLORETA.Conclusions: The deviation of absolute power compared to the normative database was significantly decreased after acupuncture treatment in the alpha and beta ranges. Therefore, we suggest that acupuncture treatment for insomnia might be effective through the central nervous system especially in the brain. There are many limitations to drawing any conclusion. Further studies are needed in the future to overcome these limitations.