• Polymer(Korea)
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• v.30 no.6
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• pp.572-575
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• 2006

In this work, a variety of polymer based jelly phantoms suitable for the hyperthermia operations to human organs was synthesized in order to confirm the possibility of auxiliary cancer therapy. Specifically, using an appropriate material composition including polyethylene, Jelly phantoms for brain was prepared and characterized their electrical properties suitable for the monitoring the effect of electromagnetic wave from code division multiple access (CDMA) and personal communication service (PCS) on the human body. In the future, after injection of ferromagnetic nanoparticle into the jelly phantoms, new approach to propose the cancer therapy can be anticipated by monitoring the degree of temperature rise in human body using the photograph of Infrared camera.

• Polymer(Korea)
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• v.32 no.1
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• pp.90-93
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• 2008

We developed a variety of polymeric jelly phantoms that can be used in hyperthermia using an electromagnetic wave as an auxiliary cancer therapy. Particularly, using an appropriate material composed of polyethylene, deionized water, and sodium chloride, jelly phantoms for brain was prepared. Also, their electrical properties were characterized by measuring the dielectric constant and conductivity. As the results, overall electrical values of the phantoms decreased with increasing the amount of the components of the materials, excepted for sodium chloride. Additionally, storage characteristics of the phantoms showed a sustainable stability up to 6 months. Based on the experimental results, it can be proposed that jelly phantoms containing a ferro-magnetic particle could be a potential material for cancer therapy following the further study on the temperature elevation effect and the evaluation of electromagnetic properties of the materials.

• Journal of Veterinary Clinics
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• v.17 no.2
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• pp.359-367
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• 2000

The aim of this study was to evaluate the effects of propofol on cortical electroencephalogram (EEG) in seven dogs. Propofol infusion was accomplished from low concentration to high concentration in series, and each concentration was infused for 20 minutes (M0: 0, M0.5: 0.5, M1.0:1.0, and M1.5: 1.5 mg/kg/min of infusion rate). EEG was recorded via needle electrode placed at Cz, which was applied to International 10-20 system. Arterial blood pressure. blood gas analysis and ECG were also measured. Hoemodynamics, Pa$CO_2$, PaO$_2$, heart rate and respiratory rate were variable, but were net significant(p>0.05). The power spectra of EEG in every concentration was compared wish those of control (MO). The powers at a1l frequencies at M1.0 and Ml.5 were decreased. Especially, the powers of the frequencies over 20 Hz were significantly decreased (p<0.O5). Powers at frequencies between 8 and 15Hz at MO.S were significantly increased (p<0.05) in response to the painful stimuli. It was inferred that they may reflect activity of the brain which is consciously processing the external Stimuli. Like the Power spectra, al1 the band powers of He EEG ($\delta$ 1-4, $\theta$4-8, $\alpha$ 8-13, $\beta$L13-21. $\beta$H 21-30, \ulcorner 30-50, and total 1-5OHz) were decreased in proportion to the increase of infusion rate at M1 .0 and M1.5. Especially, decrease of $\beta$H and ${\gamma}$ were significant(p<0.01). At M0.5, $\alpha$ band was significantly increased(p<0.05) among all the bands. Seizure activities which were concide with occurrence of spike wave were shown in all dogs at Ml .0 and M1.5.

• Journal of Veterinary Clinics
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• v.23 no.1
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• pp.31-35
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• 2006

This study was performed to evaluate sedation with quantitative electroencephalography (EEG) analysis in dogs. EEG is used to evaluate objectively the effects of CNS acting with brain and behavioral changes. Especially, spectral edge frequency 95 (SEF 95) parameter is an effective method to determine the sedative status. The SEF 95 is the frequency below 95% of the total power. Twelve healthy intact male Miniature Schnauzer dogs, which did not show any neurological abnormalities and disease, were used for the study. EEG electrodes were inserted in subcutaneous tissue over the calvaria without entering adjacent muscles. The EEG data were acquired and analyzed by EEG raw wave and spectral edge frequency 95 analysis. After the administration of sedatives, the SEF 95 values were shown the significant changes compared with the normal state In all groups (p<0.05). It is suggested that SEF 95 analysis is useful method for assessing the state of sedation in dogs.

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.157-163
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• 2016

Purpose : This study purposed on the understanding of psychology in the elderly women using depression scale and electroephalography. The subjects were thirty elderly women in geriatric care hospital. All participants were elderly women over 65 years old. The subjects signed up with informed consent and they were divided into a normal elderly group, an exercise elderly group and a hospital elderly group. They were randomly assigned with 10 persons. Methods : The study instruments were Geriatric Depression Scale(GDS) and Poly-G-I. Brain wave activity was measured by 'power spectrum analysis' of TeleScan program. Statistic analysis consisted of average, standard deviation, One-way ANOVA and post-hoc Tukey using SPSS 21.0 version. The significance was set at .05. Results : Depression scale results showed that the exercise elderly group were $10.60{\pm}5.36$ points which was the lowest among the three groups. The Normal elderly group was $16.20{\pm}5.59$, and the hospitalized elderly group was $16.70{\pm}6.76$ points. There was no significant difference between the normal elderly group, exercise elderly group and hospitalized elderly group. The hospitalized group showed statistical difference in relative theta power in the area of Fp1, F3, F4, T3, P3 as compared to the normal elderly group and the exercise elderly groups. There was no significant difference between relative beta power and relative gamma power in three groups. Conclusion : Geriatric depressed scale showed no significant difference in each group. This is indicated in the mental problems associated with depression. This indicates a higher level of depression in the hospitalized elderly women, more than in the normal elderly women and exercise elderly women groups.

• Journal of the Ergonomics Society of Korea
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• v.32 no.4
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• pp.345-353
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• 2013

Objective: This research measured physiological and psychological effects of Vibroacoustic stimulation(VA) to scapular and sacrum of supine position on the mattress. Background: When vibroacoustic stimulation applies to human body, it has a positive influence on physiological and psychological effects by stimulating the organs, tissues and cells of whole body. Method: This experiment was conducted to 10 normal males in two conditions: no stimulation and vibroacoustic stimulation. No stimulation experiment was executed as a supine position for 30 minutes without any vibrational stimulus, while vibroacoustic stimulation was transmitted by the vibrational speaker, which uses 40Hz frequency. Subjects had a laser Doppler flowmeter probe in scapular, sacrum, and also had 8 channel electroencephalogram(EEG) measurement sensor in the scalp. Blood pressure and skin temperature were measured in two conditions with an underlying posture for 30 minutes. Additionally, blood flow rate and EEG were measured before and after for two minutes on two conditions. Results: According to the vibroacoustic stimulation, blood flow rate and skin temperature were increased, while blood pressure was decreased. When using vibroacoustic stimulation compared to no stimulation, blood flow rate went approximately two times higher, and skin temperature also higher 3~4 times. Furthermore, the relative alpha power of brain wave was significantly increased when we applied to vibroacoustic stimulation. Conclusion: This experiment tested the VAT embedded in mattress in two conditions. According to this experiment, VAT decreases blood pressure, improves not only a physiological effect on blood flow rate as well as skin temperature, but also psychological functions by increasing relative alpha power. Application: The results of the publishing trend analysis might help physiological and psychological effects of vibroacoustic stimulation.

• Archives of design research
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• v.15 no.3
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• pp.249-258
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• 2002

This study is about the effect on the user's cognitive stress by font size when they read on PDA(Personal Digital Assistant). The evaluation was done through both subjective evaluation and physiological one, which is brain wave test, while the research and analysis were focused on the relationship between the user's cognitive stress and font size. The two final results were found out as follows. 1) Font sizes, which were tested, were 8, 10, 12, 14, and 16 points. Among theses, font size 14 was the least stressful for the users, while the most stressful size was found out 8 points. 2) The cerebral cortex reaction according to the font size activated occipital lobe, parietal lobe of occipital visual area. Here we could come to a very Important conclusion that the smaller font size on mobile information appliances made users the more stressed.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.451-456
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• 2019

Recently, various bioinformation technologies have been proposed, and research and development on the collection and analysis of the human body related bioinformation have been continuously conducted to support the human life environment and healthcare. These biomedical research and development processes add to the redundancy and complexity of the R&D elements and put a heavy burden on the follow-up research developers. Therefore, this study utilizes an open bioinformation platform that effectively supports the collection and analysis of bioinformation to improve the redundancy and complexity of bioinformatics R&D based on the bioinformatics platform. In addition, I propose an open interface that supports acquisition, processing, analysis, and application of bio-signals. In particular, we propose a biometric information normalization pattern model through data analysis modeling of brain wave information based on an open interface.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.8-16
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• 2019

Customized sleep care service needs to be provided differently for individuals since individual has different degree of sleep disorder. Because the brainwave data shows unique waveform characteristics for each person, this characteristic can be used to identify individuals. Personal identification provides an important role in enabling customized services. When you blink, you can obtain brain wave characteristics by measuring the area of the frontal lobe. Therefore, a real-time personal identification algorithm based on blinking EOG for customized sleep care service is proposed in this paper. For evaluation, 10 individuals were tested for personal identification accuracy. The results of the experiment confirmed that a maximum accuracy of 93% were taken. Algorithms can be developed by reflecting characteristics such as changes in the external environment in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1333-1342
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• 2018

Until now, Electroencephalography(: EEG) has been the most important and convenient method for the diagnosis and treatment of epilepsy. However, it is difficult to identify the wave characteristics of an epileptic EEG signals because it is very weak, non-stationary and has strong background noise. In this paper, we analyse the effect of dimensionality reduction methods on Epileptic EEG feature selection and classification. Three dimensionality reduction methods: Pincipal Component Analysis(: PCA), Kernel Principal Component Analysis(: KPCA) and Linear Discriminant Analysis(: LDA） were investigated. The performance of each method was evaluated by using Support Vector Machine SVM, Logistic Regression(: LR), K-Nearestneighbor(: K-NN), Decision Tree(: DR) and Random Forest(: RF). From the experimental result, PCA recorded 75% of highest accuracy in SVM, LR and K-NN. KPCA recorded 85% of best performance in SVM and K-KNN while LDA achieved 100% accuracy in K-NN. Thus, LDA dimensionality reduction is found to provide the best classification result for epileptic EEG signal.