• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.27-36
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• 2019

In this study, experiments on the improvement of the emotion classification, analysis and accuracy of EEG data were proceeded, which applied DEAP (a Database for Emotion Analysis using Physiological signals) dataset. In the experiment, total 32 of EEG channel data measured from 32 of subjects were applied. In pre-processing step, 256Hz sampling tasks of the EEG data were conducted, each wave range of the frequency (Hz); Theta, Slow-alpha, Alpha, Beta and Gamma were then extracted by using Finite Impulse Response Filter. After the extracted data were classified through Time-frequency transform, the data were purified through Independent Component Analysis to delete artifacts. The purified data were converted into CSV file format in order to conduct experiments of Machine learning algorithm and Arousal-Valence plane was used in the criteria of the emotion classification. The emotions were categorized into three-sections; 'Positive', 'Negative' and 'Neutral' meaning the tranquil (neutral) emotional condition. Data of 'Neutral' condition were classified by using Cz(Central zero) channel configured as Reference channel. To enhance the accuracy ratio, the experiment was performed by applying the attributes selected by ASC(Attribute Selected Classifier). In "Arousal" sector, the accuracy of this study's experiments was higher at "32.48%" than Koelstra's results. And the result of ASC showed higher accuracy at "8.13%" compare to the Liu's results in "Valence". In the experiment of Random Forest Classifier adapting ASC to improve accuracy, the higher accuracy rate at "2.68%" was confirmed than Total mean as the criterion compare to the existing researches.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.22 no.2
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• pp.149-157
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• 2015

Purpose: The objectives of this study were to assess the influence of family presence in the PACU (Post Anesthesia Care Unit) on anxiety, emergency delirium, pain and length of stay in the recovery room for elderly patients undergoing surgery for which general anesthesia has been used. Methods: The study was a nonequivalent control group pre-post test design. Eighty elderly patients over 65 years who underwent surgery under general anesthesia were recruited. Forty were assigned to the experiment group, patients together with a family member and 40 to the control group, with no family member present. Patients' anxiety, emergency delirium, pain and length of time in the recovery room were evaluated at 10 minute and 30 minute after arrival in the PACU. Results: Patients with family members in the PACU showed significantly decreased levels of anxiety at 10 and 30 minutes and significantly lower levels of emergency delirium and pain at 30 minutes. However there was no difference between the 2 groups for length of time in the recovery room. Conclusion: The results of this study indicate that being with family members in the PACU after surgery under general anesthesia is effective for reducing elderly patients' anxiety, delirium and pain during time in the recovery room.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.349-353
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• 2020

Background: The dosage of the anesthetic drugs is generally determined by the total body weight of the patients. However, the drugs can be overdosed when the patient is morbidly obese. We have determined anesthetic induction dose based on lean body mass estimated from bioelectrical impedance analysis (BIA). Case: We report a case of morbidly obese patient (161 cm, 138 kg and body mass index 53.1) who had an elective laparoscopic cholecystectomy. The dose of induction agent was determined by lean body mass estimated by BIA, and the sedation was assessed by the observer's assessment alertness/sedation scale. Conclusions: Dose determination through lean body mass measured by BIA is useful in highly obese patients.

• Journal of Sericultural and Entomological Science
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• v.30 no.2
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• pp.75-83
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• 1988

These experiments were carried out to define the rest period of mulberry by treating growth regulators in Taegu, Korea. Results obtained were as follows: It was recognized that the depth of rest in Taegu, Korea, was not deeper than that in Tokyo and Kagoshima, Japan. The rest of mulberry was begun at the end of September, subsequently became deeper through the first October into the late October and then turned gradually into quiescence by the beginning of November. Buds sprayed by gibberellic acid ($GA_3$) 10ppm and urea 0.5% were promoted to sprout, while naphthalene acetic acid (NAA) 0.02% inhibited strongly bud sprouting and abscisic acid (ABA) 20ppm had no effect on the rest of mulberry. Gibberellic acid 10ppm enhanced the rate of green color of bud after incubation for 10 days at $30^{\circ}C$. By the portion of mulberry stems, the depth of rest was different that the middle buds were less dormant than those lower. The optimal time required for the mulberry winter bud break is 15 days incubation at $30^{\circ}C$ as treated with $GA_3$.

• Journal of The Korean Dental Society of Anesthesiology
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• v.1 no.1 s.1
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• pp.16-20
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• 2001

연구배경: 일반적으로 자가통증조절기가 자가진정조절을 위해 적합한 것으로 알려져 있다. 그러나 이 장치들은 몇몇 진정제 투여 시 너무 긴 최소 폐쇄간격을 가지고 있다 WalkMed사(Medex inc, USA)의 자가통증조절기는 폐쇄간격을 0으로 설정할 수 있으며 30 ml/h로 추가용량을 투여할 수 있다. 이번 연구에서는 환자 개개인의 요구에 맞추어 환자의 진정을 조절하기 위하여 위장치를 이용한 propofol 자가진정조절기의 가능성를 조사하였다. 방법: Propofol과 전산 프로그램된 WalkMed 주입장치를 이용한 자가진정조절법이 치과치료를 받는 24명의 건강한 환자에게 시행되었다. Propofol 지속 주입량은 2 mg/kg/h로, 추가용량은 5 mg으로 조절되었으며 치소 폐쇄간격은 0으로 설정하였다. Ketoloac 30 mg이 통증 조절을 위하여 진정법 시행 전에 근주되었다. 결과: 진정법 시행 동안 주입된 propofol의 평균량은 3.4 mg/kg/h이었으며 평균 추가용량은 1.6 mg/kg/h이었다. 시간 당 추가용량에는 많은 변이가 있었다(0-32). 모든 환자는 진정법 시행 동안 완전한 각성상태였으며 이러한 진정 법에 만족하였다. 진정 법과 관련된 주요한 합병증은 관찰되지 않았다. 결론: WalkMed사의 자가통증조절기를 이용한 propofol 자가진정조절법이 치과 치료를 받는 환자들에게 유용하게 사용될 수 있다.

• Science of Emotion and Sensibility
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• v.18 no.3
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• pp.63-70
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• 2015

This study identified heart response of participants while listening to sounds which have 1/f fluctuations with exponent ${\alpha}$ gradient. The participants were engaged in emotional stress work. Prior studies related to 1/f fluctuation sound have reported that sound source can alleviate psychological and physiological state of users. Subjects of this study were exposed to sound with three levels of ${\alpha}$ gradient. Heart response of subjects were measured with Photoplethysmography(PPG) sensor simultaneously. The dependent variables of this study were beat per minute(BPM), very low frequency percent of pulse rate variability (VLF percent), the standard deviation of all normal RR intervals (SDNN), and high frequency power(HF power). Subject showed arousal response when exposed to sound with exponent ${\alpha}$ gradient of 3 whereas the sound with exponent ${\alpha}$ gradient of 1 and 2 resulted in relax effect. The characteristic of 1/f fluctuation sounds can be applied to alleviate stress for employers under emotional labor.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.316-322
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• 2014

A movie recommendation system is proposed to learn a preference model of a viewer by using multimodal features of a video content and their evoked implicit responses of the viewer in synchronized manner. In this system, facial expression, body posture, and physiological signals are measured to estimate the affective states of the viewer, in accordance with the stimuli consisting of low-level and affective features from video, audio, and text streams. Experimental results show that it is possible to predict arousal response, which is measured by electrodermal activity, of a viewer from auditory and text features in a video stimuli, for estimating interestingness on the video.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.185-195
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• 2018

We try to explore the effect of the emotions of viewers caused by the insertion of the in-program adversiging on the advertising effect. To test our hypotheses, we collected the data through two lab experiments and analyze the data with t-test. The results are as follows. First, high engagement to the media contents impacts positively on the feeling of viewer's irritation when the movie clip is interrupted and an in-program advertising is inserted. Second, the negative emotions of the irration are congruented, which affect the attitude of the advertised product negatively. On the other hand, the irritation caused by the in-program advertising had a positive effect on the brand awareness and memory(recall) of the advertised product because of high state of arousal. These results enrich the understanding about the role of in-program advertising which affect viewer's feeling and behvior. Moreover, these findings provides managerial implications to help advertising managers manage their in-program advertising more effectively.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.3-11
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• 2011

The sound of digital media would be able to perform communication by stimulating body's senses. Because the sound stimuli could arouse a person into the physiological excitement and sensitivity, which appear as the changes of heartbeat, blood pressure, brain waves(EEG) signals. In this paper, we would like to examine whether the game music mixed with relaxing white noises has an effect to relax game player or not through the EEG changes of game players. For the experiment, we divided game players into group A that plays game while hearing game music mixed with white noises, and group B that plays game while hearing game music not mixed. And we measured the EEG changes of the prefrontal lobe between two groups. The result shows that the game music mixed with white noises has an relaxing effect for the left brain, but fall short of the expectations for the right brain. It would be a basic research which will contribute to the development of serious games for psychotherapy using relaxing white noises.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.97-104
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• 2012

Recently, a big text data has been produced by users, an opinion mining to analyze information and opinion about users is becoming a hot issue. Of the opinion mining, especially a sentiment analysis is a study for analysing emotions such as a positive, negative, happiness, sadness, and so on analysing personal opinions or emotions for commercial products, social issues and opinions of politician. To analyze the sentiment analysis, previous studies used a mapping method setting up a distribution of emotions using two dimensions composed of a valence and arousal. But previous studies set up a distribution of emotions arbitrarily. In order to solve the problem, we composed a distribution of 12 emotions through carrying out a survey using Korean emotion words list. Also, certain emotional states on two dimension overlapping multiple emotions, we proposed a selection method with Roulette wheel method using a selection probability. The proposed method shows to classify a text into emotion extracting emotion terms from a text.