• The Korean Journal of Rehabilitation Nursing
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• v.7 no.2
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• pp.115-126
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• 2004

Purpose: This study was carried out to accumulate basic data for nursing intervention development by evaluating the stress and emotional status of patients and their families after receiving hematopoietic stem cell transplantation (HSCT), illucidating and analysing related factors in order to decrease the negative effects of HSCT on their emotion. Methods: Data were collected using a questionnaire to 53 HSCT patients and 50 families, who were older than 18 at tertiary-care institutions in Seoul, from January, 2000 to August, 2003. Results: There was a significant score difference in stress (t=-2.302, P<0.05). Correlation between stress and emotional status was statistically significant (r=0.486, P<0.01; r=0, P<0.05). Economical burden of cost had significant effects on stress of patients (F=4.194, P<0.05). The series of emotional status of patients without jobs were higher (T=-2.583, P<0.05). The emotional status of families were influenced by monthly income (F=4.036, P<0.05) and patients' diagnosis (F=3.088, P<0.05). Conclusion : These results suggest that the cares for families should be considered with great concern as well as the ones for patients. In addition, such factors as economical burden by medical cost, monthly income and job status should not be excluded in transplantation nursing plans.

• The Journal of Society for e-Business Studies
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• v.22 no.2
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• pp.1-18
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• 2017

Recently, identification of the extremely stressed condition of children is an essential skill for real-time recognition of a dangerous situation because incidents of children have been dramatically increased. In this paper, therefore, we present a model based on machine learning techniques for stress status identification of a child by using bio-signals such as voice and heart rate that are major factors for presenting a child's emotion. In addition, a smart band for collecting such bio-signals and a mobile application for monitoring child's stress status are also suggested. Specifically, the proposed method utilizes stress patterns of children that are obtained in advance for the purpose of training stress status identification model. Then, the model is used to predict the current stress status for a child and is designed based on conventional machine learning algorithms. The experiment results conducted by using a real-world dataset showed that the possibility of automated detection of a child's stress status with a satisfactory level of accuracy. Furthermore, the research results are expected to be used for preventing child's dangerous situations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.160-169
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• 2011

The purposes of this study were to identify the significant predictors of subjective happiness for nursing students. The subjects consisted of 385 nursing students. Data were collected through self-report questionnaires, which were constructed to include positive emotion, gratitude disposition, flow, self-esteem, and subjective happiness. The data were analyzed by the PASW. 18.0 program. The significant predictors of subjective happiness for nursing students were gratitude disposition, self-esteem, flow, physical health status, positive emotion, and economic status, explaining 49.4% of the variance in subjective happiness. The most important predictors of subjective happiness for nursing students were gratitude disposition, self-esteem, and flow. The findings of this study suggest that the approach to effective happiness promotion program for nursing students should consider gratitude disposition, self-esteem, and flow.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.21-34
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• 2016

In the design and develop a virtual character, it is important to correctly deliver target emotions generated by the combination of facial expression and gesture. The purpose of this study is to examine the effect of congruent/incongruent between gesture and facial expression on target emotion. In this study four emotions, joy, sadness, fear, and anger, are applied. The results of study showed that sadness emotion were incorrectly perceived. Moreover, it was perceived as anger instead of sadness. Sadness can be easily confused when facial expression and gestures were simultaneously presented. However, in the other emotional status, the intended emotional expressions were correctly perceived. The overall evaluation of virtual character's emotional expression was significantly low when joy gesture was combined with sad facial expression. The results of this study suggested that emotional gesture is more influential correctly to deliver target emotions to users. This study suggested that social cues like gender or age of virtual character should be further studied.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.1-9
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• 2009

In virtual environments, such as computer game and animation, we need to enhance naturalness of crowd simulation. So, we propose a method to generate dynamically moving crowd patterns by applying emotional factors to the individual characters of a crowd in the determination of their behavior. The proposed method mimics human behavior and controls each character in a group to decide its own path according to its individual status. And it is able to generate various moving patterns as a result of letting the individuals go to another group depending upon their conditions. In this paper, some temperament and feeling factors are defined and determination rules for calculating the emotional status are also proposed. Moreover we use a fuzzy theory for accurate representation of the ambiguous expressions such as feeling bad, feeling good and so on. Our experiments show that the suggested method can simulate virtual crowd in more natural and diverse ways.

• The Journal of Korean Obstetrics and Gynecology
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• v.19 no.3
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• pp.267-276
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• 2006

Purpose : The purpose of this study was to investigate the clinical application of Traditional Korean Medicine(TKM) treatment to climacteric symptoms after hysterectomy. Methods : The patient was a 51-years-old woman who suffered from hot flush, arthralgia, fatigue et al after hysterectomy. The patient was treated by TKM such as herb medication and acupuncture therapy. And her health status was evaluated by Kupperman's index and Medical Outcome Study Short Form 36( SF-36). Results : Climacteric symptoms after hysterectomy was reduced( Kupperman's index from 40 to 20). It got better that Physical Functioning(PF), General health(GH), Bodily pain(BP), Role limitation-Emotion(RE) and Mental Health(MH). So, it means that her health status was improved. Conclusion : TKM is expected to have positive effects on climacteric symptoms after hysterectomy, and can be improve woman's health status after hysterectomy.

• Korean Journal of Health Education and Promotion
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• v.29 no.3
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• pp.103-114
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• 2012

Objectives: The purpose of this study was to investigate the relationship between mental health status, stress, coping ability, and coping strategies of college students. Methods: The questionnaires were handed out to 162 college students in the Gyeonggi province. Data was collected using the Symptom Checklist-90-Revised (SCL-90-R) scale of the 90 items, the 'Person in the Rain' drawing test, and the 20-item coping strategies questions. Results: 17.3% of the respondents were belonged to the groups of abnormal or abnormal tendency in the mental health status according to the Global Severity Index (GSI) scores. The clinical/border groups were more commonly used in the 'emotion-focused' coping strategies compared to the normal group. This difference was also statistically significant. Both coping resource and coping ability were significantly associated with the mental health status. Conclusions: These findings suggest that future intervention for effective coping strategies should be carefully designed to promote better mental health among college students. It is also important to detect problematic and weak student's behaviors in the early stages.

• Science of Emotion and Sensibility
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• v.7 no.3
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• pp.27-35
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• 2004

This study has investigated a psychological status of optimal and pleasant driving condition by measuring various physiological signals using SCR(skin conductance response), PPG(peripheral plethysmograph), SKT(skin temperature) and HR(heart rate). The physiological response was measured during various simulated driving conditions. We developed a hardware and algorithm to measure and analyze the physiological response. The physiological signals has reflected the level of driver's tension or relaxation as well as the heart rate. The emotional responses of drivers were also measured and analyzed in this experiment. The result of the study can be used to design a system to enhance the driver's emotional satisfaction as well as to monitor the driver's safety and health condition.

• Science of Emotion and Sensibility
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• v.10 no.2
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• pp.147-154
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• 2007

Electrocardiogram(ECG) being the recording of the heart's electrical activity provides valuable clinical information about heart's status. Many researches have been pursued for heart disease diagnosis using ECG so far. However, electrocardio-graph uses foreign diagnosis algorithm in the con due to inaccuracy of domestic diagnosis results for a heart disease. This paper proposes ST-segment extraction technique diagnosing heart disease parameter from raw ECG data. As the ST-segment is used for prediction of Coronary Artery Disease, we can predict heart disease using classification approach in data mining technique. We can also predict patient's clinical characterization from patient clinical data.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.05
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• pp.176-178
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• 1997

We are exposed to the various types of external stimuli, and many researches have been conducted to analyze the emotional changes to the stimuli quantitatively. In this paper, changes of human emotion was studied by analyzing HRV from ECG signals which were varied by the auditory stimulus. Power contents for each frequency bands were calculated from HRV waveforms. Two peak values representing autonomic nervous system status, HF and LF, were used to extract the parameters. An analysis on the normalized HF/LF to the subjective rating of the subject were performed. It was assumed that the positive emotional changes evoked by the auditory stimuli, the HF values representing activation of the parasympathetic nervous system, are increased much higher than the LF values, activation of the sympathetic nervous system. Results showed that the parasympathetic nervous system works more actively than the sympathetic nervous system to the stimuli which cause the positive emotional changes.