• Korean Journal of Culture and Social Issue
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• v.20 no.2
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• pp.89-105
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• 2014

This study investigated the effects of a brief Loving-Kindness and Compassion Meditation(20 minutes) on compassionate love and altruism of undergraduate students. Among the 187 students who were completed the KIIP-SC, 35 of high scored students in Interpersonal Problem Scale were randomly assigned to one of two different groups: Loving-Kindness and Compassion Meditation group(LCM, n=19) and Imagery Trainning group(IT, n=16). During the 20 minutes of practice, LCM group was asked to practice loving-kindness and compassion meditation and IT group was asked to investigate personal characteristics of the imagined people who were same as LCM. Compassionate love, four immeasurebles, two kind of altruistic behaviors, and mood states were measured pre- and post-treatment. LCM group showed significantly higher incremental scores for compassionate love, donation for strange person, and helping behaviors for friends, for close person, and for stranger than IT group. Negative and positive mood states were improved for each of the groups, but there was no significant differences between groups. The results suggested that the comparatively short practice of loving-kindness and compassion meditation could increase altruistic attitudes and intentions toward other persons. And, these effects could not be attributed to mood effects. Limitations of this study and the directions of further research were discussed.

• Journal of Korean Biological Nursing Science
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• v.24 no.1
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• pp.36-45
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• 2022

Purpose: The purpose of this study was to verify physical and psychological effects of life-oriented forest healing program (LOFH) using urban forests in adults over 40 years of age. Methods: A non-equivalent control group pre-posttest design was used. There were 50 participants in the experimental group and 52 in the control group (a total of 102 individuals). The LOFH was conducted twice a week (3 hours per week) for a total of four weeks. Body composition, psychological states (such as depression and anxiety), and quality of life (QOL) were measured before and after the program. Results: Depression was significantly reduced in the group to which the forest healing program was applied. There was no significant difference in body composition (body mass index, body fat percentage, muscle mass, lean mass), other psychological states (anxiety, mood), or QOL. Conclusion: The LOFH was useful for improving depression in adults over 40 years of age. It is necessary to develop other LOFHs to improve body composition and quality of life.

• Sleep Medicine and Psychophysiology
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• v.25 no.2
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• pp.58-67
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• 2018

Objectives: The purpose of this pilot study was to examine the effects of a mindfulness-based Body-Mind Intervention Program using marine resources on the improvement of quality of sleep, mood symptoms, and cognitive function in Korean female emotional labor workers. Methods: Twelve female workers who experienced excess emotional labor participated at the training camp program for five days in Danghangpo-ocean park, Goseung-gun, Gyeongnam Province in South Korea. Participant sleep quality, mood symptoms, and cognitive functioning before, after, and 1.5 months later were evaluated and analyzed. Results: After participating in the marine resource program, participants reported significantly decreased sleep latency. Global sleep quality, cognitive functions (attention, flexibility, and inhibition control), and mood states, including depression, tension, anger, fatigue, were also improved. These effects were generally maintained after 1. 5 months (PSQI t = 2.63, p = 0.02 ; HAM-D t = 5.92, p < 0.001). Conclusion: A Body-Mind Intervention Program using marine resources was effective in relaxing emotion-related tension and improving cognitive function. To advance this pilot study, it is necessary to carry out further research to investigate the use of marine resources in mental health interventions.

• Anxiety and mood
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• v.2 no.2
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• pp.101-107
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• 2006

Object : Since autonomic nerve system dysfunction was known as the mechanism of panic disorder, many researchers used heart rate variability (HRV) as means of measuring autonomic nerve function of patients with panic disorder. We aimed to examine the effect of paroxetine medication for 3 months on symptom improvement and change of heart rate variability of the patients with panic disorder. Methods : The subjects were patients with panic disorder who visited the psychiatric outpatient clinic of Samsung Medical Center in Seoul. We included panic disorder patients who were aged from 20 to 50 and in normal BMI range (from 18 to 30) to minimize the effect of age and weight on HRV data. We excluded the patients with EKG abnormalities, hypertension or other major psychiatric disorders. They took 20-40 mg paroxetine medication a day for 3 months. Alprazolam was used only during the first month to control the acute panic symptoms and was tapered off after that. We measured the acute panic inventory (API), Hamilton rating scale for anxiety and depression (HAM-A & HAM-D), Spielberger state-trait anxiety inventory (STAIS, STAIT), and Beck depression inventory (BDI) in order to assess clinical improvement of the patients. And we measured time and frequency domain HRV in the resting, standing and cognitive stress states to assess the change of HRV. All measurements were done before and after paroxetine treatment. Result : After paroxetine medication, patients showed significant improvement in all psychiatric scales. In time domain of HRV, standard deviations of all R-R intervals (SDNN) were significantly increased in all states. In frequency domain of HRV, the ratio of high frequency to total power (HF/TP) in the standing state was significantly increased. Conclusion : After 3 months paroxetine medication, panic disorder patients showed significant clinical improvement and change in HRV data such as SDNN in all states and HF/TP ratio in the standing state. This result suggests that paroxetine medication is effective for the improvement of autonomic nerve system dysfunction in panic disorder patients.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.6
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• pp.1087-1094
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.2
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• pp.84-95
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• 2008

Background and purpose: Health is characterized by variability and a loss variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. The aim of this study is to analyze Correlation Analysis of 10 respiratory indices(include breath to breath variability) and K-POMS factors score. Method: Respiratory data were measured during 15 minutes and transferred to text file. We calculated 10 respiratory parameters in use of MATLAB7.1. After then do correlation analysis of 10 respiratory indices and K-POMS factors score. Result and conclusion: Respiratory variability is showed significant correlation with vigor factor. Respiratory rate is showed significant correlation with depression factor.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2010-2012
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.2
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• pp.68-83
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• 2007

Background and Purpose: According to chaos theory, irregular signals of electroencephalogram can interpretated by nonlinear method. Chaotic nonlinear dynamics in EEG can be studied by calculating the correlation dimension. The aim of this study is to analyze EEG by correlation dimension and do Correlation Analysis of correlation dimension and K-POMS factors score. Method: EEG raw data were measured during 15 minutes and choosed 40 seconds. We calculated correlation dimension and used surrogate data method for checking nonlinear data. After then do correlation analysis. Result and Conclusion: Correlation dimension of channel 6, channel 7 and channel 8 are showed significant correlation with vigor factor.

• Smart Media Journal
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• v.13 no.7
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• pp.18-26
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• 2024

One of the newest trends in AI is emotion recognition utilizing keystroke dynamics, which leverages biometric data to identify users and assess emotional states. This work offers a comparison of four datasets that are frequently used to research keystroke dynamics: BB-MAS, Buffalo, Clarkson II, and CMU. The datasets contain different types of data, both behavioral and physiological biometric data that was gathered in a range of environments, from controlled labs to real work environments. Considering the benefits and drawbacks of each dataset, paying particular attention to how well it can be used for tasks like emotion recognition and behavioral analysis. Our findings demonstrate how user attributes, task circumstances, and ambient elements affect typing behavior. This comparative analysis aims to guide future research and development of applications for emotion detection and biometrics, emphasizing the importance of collecting diverse data and the possibility of integrating keystroke dynamics with other biometric measurements.

• Korean Journal of Biological Psychiatry
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• v.19 no.1
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• pp.53-59
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• 2012

Objectives : Autobiographical memory (ABM) is a special type of episodic memory, containing events that have occurred in a personal life. Overgeneral tendency of ABM refers to the retrieval of memory with only general and categorical descriptions rather than specific events. ABM specificity in depression and posttraumatic stress disorder is a robust finding with relation to cognitive vulnerability, affect regulation, problem-solving ability. It is also implicated in bipolar disorder with frequent relapses. In this study, we investigated whether ABM specificity was related to manic or euthymic mood states in patients with bipolar disorder. Methods : Forty bipolar patients with manic and euthymic episodes and 25 healthy controls participated in this study. Prompted by 5 positively and 5 negatively valenced emotional cue words, each participant was instructed to recall positive or negative memories and describe them in detail. The One-way ANOVA was used to compare ABM scores and post-hoc analyses were done. Results : Comapred to the healthy persons, the bipolar patients reported significantly more general than specific negative memories in both manic and euthymic episodes (p = 0.003). However, there was no significant difference between manic and euthymic patients (p = 0.074). Conclusions : These results suggest that overgeneral tendency of negative ABM may be a trait abnormality in bipolar disorder. Moreover, this phenomenon might be related to underlying cognitive deficits or affect regulation irrespective of the mood state.