• Perspectives in Nursing Science
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• v.2 no.1
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• pp.76-91
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• 2005

Stroke patients often develop post stroke sequelae when they survive. Post stroke fatigue and emotional disturbances including depression are common along with motor dysfunction. However, medical personnel have paid relatively little attention to emotional changes and the presence of fatigue following strokes. Post-stroke fatigue was common, occurring in 57% of the patients in our series. The post-stroke fatigue appears to be related to the pre-stroke fatigue, physical disability and post stroke depression (PSD) although the relation to the lesion location remains elusive. The prevalence of post-stroke emotional disturbance has been reported to range from 12% to 64%. The wide variation in the frequency of post stroke depression may be related to methodological heterogeneity in items such as the criteria for depression, the timing of assessment, and the study population. Emotional incontinence, which is characterized by inappropriate or excessive laughing or crying is also common. The incidence of and factor related to this post-stroke emotional incontinence (PSEI) also remains unclear. We reported that out-patients with single, unilateral stroke, 18% had PSD and 34% had PSEI. Although both PSD and PSEI were related to motor dysfunction and location (anterior vs. posterior cortex) of the lesion, the latter was a stronger determinant for PSD. PSEI was more closely associated with subcortical strokes than was PSD. Another manifestation of post stroke patients is the occurrence of post stroke anger proneness (PSAP). They may become easily irritated, impulsive, less generous, and prone to be angry or aggressive at others. We also have reported the PSAP which seems to be closely associated with the presence of PSEI. The lesion distribution appears to be also similar. Both PSEI and PSAP respond well to serotonin reuptake inhibitors suggesting that these symptomsmay be possibly related to the alteration of serotonin after brain injury. Likewise, PSAP also produces a great deal of frustration and embarrassment among patients and caregivers. In summary, emotional disturbances such as depression, emotional incontinence, anger-proneness and fatigue are fairly common but under-recognized sequelae of stroke. These emotional disturbances decrease the quality of life of the patients and caregivers, and may adversely affect the overall prognosis. Therefore, these problems must be appropriately recognized and alleviated. Finding strategies to relieve the symptoms is imperative by understanding the causative factors in individual patient.

• Journal of Oriental Neuropsychiatry
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• v.18 no.2
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• pp.25-34
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• 2007

Objective : This study was done to investigate the differences of HRV(Heart Rate Variability) change as the response to the emotional stimulus in each Sasang constitutions. Method : We investigated 44 healthy volunteers consisted of 10 Soyangin, 14 Soeumin and 20 Taeumin. After diagnosing the Sasang constitution by specialist of Sasang medicine, we measured the baseline emotional state(100 sec) before the stimulus, the changing emotional state(100 sec) while fearful film was being played. And we rechecked the emotional state(100 sec) while taking a rest. At last, volunteers checked the questionnaire for emotional response. We analysed ECG data with HRV-time domain and frequency domain analysis. Results : (1) There were no significant difference in Mean-RR , SDNN between each groups. (2) LF of Taeumin group significantly increased by the emotional stimulation compared with other groups. (3) There was no significant difference in TP, HF, normalized LF, normalized HF, but the variation of each period in Taeumin group was bigger than those of other groups. (4) Soeumin group reported that they felt significant disgust-emotion in the questionnaire compared with other groups. Conclusion : Taeumin group showed significant emotional changes on HRV by fear stimulus film.

• The Journal of Korean Academic Society of Nursing Education
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• v.17 no.1
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• pp.80-89
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• 2011

Purpose: The purpose of this study was to discover the effect of emotional intelligence on organizational performance in clinical nurses regarding anger expression, job satisfaction, job commitment, and turnover intention. Methods: Data were collected by self-administered questionnaires from 162 clinical nurses in three university hospitals in 2008, and analyzed by the SPSS 14.0 Window program, using descriptive statistics, pearson correlation, and stepwise multiple regression. Results: Emotional intelligence showed a statistically significant association with each of anger expression-in, anger expression-control, job satisfaction, job commitment, turnover intention, and organizational performance. The multiple regression analysis also showed that organizational performance was statistically significant with job satisfaction, job commitment, and emotional intelligence respectively. 38.0% of the variation of organizational performance was explained by these variables. Conclusion: Emotional intelligence significantly affected organizational performance together with job satisfaction and job commitment. From this result, it could be concluded that nursing interventions for emotional intelligence have a positive effect on improving organizational performance. Further studies are needed to develop nursing intervention programs for emotional intelligence and test its effects on organizational performance.

• Journal of the Ergonomics Society of Korea
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• v.17 no.1
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• pp.1-9
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• 1998

The sensitivity of the emotion evoked visually by IAPS was attempted to be defined using EEG(electroencephalogram). Twenty university students were participated in this study. Their EEG was measured and analyzed in terms of frequency range such as delta, theta, alpha and beta wave. The results showed that alpha increased, but delta and beta decreased with positive emotional progress. Inter-variation between alpha and delta in F4 and beta variation in P3 were indicative of the evaluation sensitivity of human emotion.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2439-2442
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• 2003

In this paper, we examine the acoustic characteristics of Korean vowels on pitch alteration utterance. The prosody is known as an indicator of acoustic characteristics of emotions. Also, speech is acoustically differenced according to the emotional variation and environmental variation, although speaker utters the same speech. We analyzed the spectral envelopes and formants from the voiced regions as data points on the speech waveform.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.307-316
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• 2015

The purpose of this study was to investigate the relationship between emotional intelligence, burnout and nursing productivity, to find the factors for nursing productivity need to the efficient management of nursing organization. 255 nurses were collected a structured questionnaire by convenience sampling with 300 beds, Nov. 12-Dec. 26 in 2013. Data were processed SPSS 17.0, using t-test, one way ANOVA, Scheffe test, Pearson's correlation coefficient, and enter multiple regression analysis. These results showed a significant negative correlation between emotional intelligence and burnout, a significant positive correlation between emotional intelligence. Emotional intelligence, total clinical experence, burnout and position had a significant influence on nursing productivity, Nursing productivity explained 43.4% of the variation. Therefore, it demanded that to build the infrastructure for the nursing organization of carrer management, to improve emotional intelligence, to design diverse intervention program for the nurses, to reduce burnout, and to increase work productivity.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.395-400
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• 2011

In this paper, we propose an study of the facial emotion recognition considering the dynamical variation of emotional state in facial image sequences. The proposed system consists of two main step: facial image based emotional feature extraction and emotional state classification/recognition. At first, we propose a method for extracting and analyzing the emotional feature region using a combination of Active Shape Model (ASM) and Facial Action Units (FAUs). And then, it is proposed that emotional state classification and recognition method based on Hidden Markov Model (HMM) type of dynamic Bayesian network. Also, we adopt a Harmony Search (HS) algorithm based heuristic optimization procedure in a parameter learning of HMM in order to classify the emotional state more accurately. By using all these methods, we construct the emotion recognition system based on variations of the dynamic facial image sequence and make an attempt at improvement of the recognition performance.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.79-84
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• 2019

Based on the assumption that the environmental color of the general hospital would affect the psychological and emotional aspects of the users, this study conducted an emotional evaluation of the environmental color of the lobby of the general hospital. The purpose of the research is to examine the requirements of environmental colors that are more positive and give psychological satisfaction when planning the general hospital's environmental color. For this, eight major general hospitals in Korea were directly inspected for environmental colors, and based on this, color palette was created to conduct an emotional vocabulary evaluation. As a result, it was found that the effects of brightness among the color factors affecting the environmental color sensitivity evaluation were greater, and that the greater the variation in the range of degrees and colors, the more negatively it was found to affect the emotional response.

• Journal of Industrial Convergence
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• v.21 no.11
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• pp.97-105
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• 2023

The purpose of this study is to confirm the relationship between emotional intelligence, self-leadership, and organizational socialization of nursing students who have experienced clinical practice, and to identify factors that affect organizational socialization. From May 4, 2023 to June 10, 2023, 226 3rd year nursing students attending two universities located in G city were enrolled. Data were analyzed by t-test, ANOVA, Scheffé test, Games-Howell test, Pearson's correlation, and Stepwise multiple regression. Statistically, organizational socialization showed a significantly positive correlation with emotional intelligence (r=.61, p<.001) and self-leadership (r=.64, p<.001). The factors influencing organizational socialization were self-leadership (β=.407, p<.001), emotional intelligence (β=.320, p<.001), and better interpersonal relationships (β=.139, p=.004). followed by religion (β=.103, p=.030), explaining 51.1% of the total variation. Based on the results of this study, self-leadership, emotional intelligence, and interpersonal relationship improvement programs are needed to improve organizational socialization of nursing students.

• Child Health Nursing Research
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• v.14 no.1
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• pp.61-70
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• 2008

Purpose: The purpose of this study was to investigate the relationship between high school students' self-differentiation, family function and their level of stress. Method: A questionnaire which consisted of questions on general characteristics of the high school students, and 36 questions on self-differentiation, 17 questions on family function, and 37 questions on level of stress was used to collect the data. Participants were 201 second grade high school students from Bucheon City. Descriptive statistics, T-test, ANOVA, correlation and multiple regression were used with SPSS 10.0 to analyze the data. Results: The mean scores for self-differentiation, family function, and levels of stress were 3.27, 3.39, and 2.61 respectively. The relationship between self-differentiation and level of stress revealed a significant negative correlation. The relationship between self-differentiation and family function showed a significant positive correlation. The relationship between family function and stress level showed a significant negative correlation. Conclusion: The results of the study show that variation in level of stress was related to family regression, recognition/emotional function, family projection, role recognition and emotional support and emotional cutoff which together explained 40.9% of the variance in level of stress.