• Journal of Oriental Neuropsychiatry
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• v.28 no.2
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• pp.83-94
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• 2017

Objectives: The purpose of this study was to conduct a characteristic study on Bell's palsy patients using the Core Seven Emotion Inventory (CSEI) followed by correlation analysis with BAI and BDI. Methods: This study was conducted by analyzing medical records of 30 patients that had visited ${\bigcirc}{\bigcirc}$ University Oriental hospital and completed the Core Seven Emotions Inventory (CSEI), BAI and BDI. A total of 30 patients diagnosed with Bell's palsy were analyzed using SPSS (Statistical Package for the Social Science, IBM, United States of America, Version 22.0). Descriptive statistics, Independent t-test, One-way repeated measure, ANOVA and Pearson Correlation analysis were used for data analysis. Results: 1. Kyeong (驚), Bi (悲) and Gong (恐) emotions were relatively higher than U (憂), Hui (喜). 2. According to sex, female patients exhibited higher Kyeong (驚) and Gong (恐) emotions than male patients. 3. According to age, patients older than 60 exhibited higher Hui (喜) emotion than patients younger than 59. 4. According to the correlation between prognosis and age in patients older than 60 revealed negative correlation in Kyeong (驚) and Gong (恐) emotions. Conclusions: Using the Core Assessment Instrument based on Chiljeong for Bell's palsy patients is effective relative to diagnostic and clinical aspects of Bell's palsy.

• The Journal of Korean Obstetrics and Gynecology
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• v.27 no.4
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• pp.15-24
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• 2014

Objectives: There were only small studies about the difference of the quality of life depending on blood stasis. We investigated that the blood stasis made the differences of quality of life. Methods: We recruited the participants stratified according to age and gender. The participants were assessed independently by two Korean medicine doctors more than 7 years of clinical experiences whether or not with blood stasis. And they responded at the questionnaire associated with blood stasis and SF-36. The analysis was done with IBM SPSS Statistics (ver. 21). Results: Total 101 participants were checked for with/without blood stasis. 40 participants were accord in the diagnosis with blood stasis by two doctors. Two researchers coincided in diagnosis with non-blood stasis in 42 participants. 19 participants showed the discrepancy between the assessment of blood stasis and they were classified as non-blood stasis. The mean age in group of blood stasis was $44.07{\pm}11.65$, it was not shown the significant difference comparing non-blood stasis group. The subscale of physical function (PF), role-physical (RP), bodily pain (BP), general health (GH), vitality (VT), mental health (MH) and role emotional (RE) in SF-36 were significantly low in the group of blood stasis. Blood test including biochemistry, fibrinogen, prothrombin time and D-dimer was not in abnormal range according to blood stasis without CRP. Conclusions: The patients that diagnosed of blood stasis showed the bad physical health status, and partially bad mental health. It is necessary to investigate whether Korean traditional treatment for blood stasis would be made improvement for quality of life. Moreover, the standardization of diagnosis on blood stasis would be needed.

• Journal of East-West Nursing Research
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• v.27 no.1
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• pp.14-21
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• 2021

Purpose: This study aims to examine the levels of posttraumatic stress disorder (PTSD), depression and social stigma among nurses caring for Corona Virus Disease-19 (COVID-19) patients. Methods: 169 nurses caring for COVID-19 patients participated in this study. Data collection was conducted at university hospitals from March 1 to August 31, 2020. Data analysis was performed for descriptive statistics, t-test, ANOVA, and Pearson correlation coefficients using SPSS/WIN 24.0 program. Results: The mean scores of PTSD, depression and social stigma were 25.16±16.80, 17.26±8.63 and 5.83±2.84, respectively. The PTSD scores were significantly different between the department (F=2.89, p=.037). Depressive scores were significantly different between the marital status (t=2.27, p=.024) and the department (F=4.91, p=.003). Social stigma scores were significantly different between age (F=6.49, p=.002), marital status (t=-3.30, p=.008), having or not having children (t=3.82, p=.001), department (F=5.82, p=.001) and clinical experience (F=7.43, p=.001). Positive correlations were found between PTSD and depression (r=.70, p<.001) and social stigma (r=.22, p<.004). Conclusion: Integrated assessment and management are required to address the psychological and emotional problems faced by nurses caring for COVID-19 patients, and active follow-up measures should be considered.

• Journal of Korean Academy of Nursing
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• v.48 no.6
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• pp.669-678
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• 2018

Purpose: The purpose of this study was to examine the effects of integrated psychoeducational program for distress management of newly diagnosed patients with breast cancer. Methods: A quasi-experimental trial was conducted. The participants consisted of 47 female patients with breast cancer assigned to an intervention group (n=25) and control group (n=22). The intervention group participated in integrated psychoeducational program, consisting of individual face-to-face education and telephone-delivered health-coaching sessions. Data were collected at three time points: pre-intervention (T1), post-intervention (T2), and 6-month follow-up (T3). Study instruments were Distress thermometer, Supportive Care Needs Survey Short Form 34 and Functional Assessment of Cancer Therapy-Breast. Results: Compared with the control group, breast cancer patients in the intervention group reported lower distress and supportive care needs than the control group. The intervention group reported higher quality of life (QOL) overall and higher emotional well-being than the control group. Conclusion: These findings indicate that the integrated psychoeducational program is an effective intervention for reducing distress and supportive care needs and increasing QOL of newly diagnosed patients with breast cancer. Oncology nurses need to provide psychoeducational intervention to support patients with breast cancer in managing their distress and helping them adjust to their life.

• Archives of Plastic Surgery
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• v.46 no.3
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• pp.221-227
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• 2019

Background Gynecomastia is a common condition that can cause severe emotional and physical distress in both young and older men. Patients in whom symptomatic recalcitrant gynecomastia persists for a long time are potential candidates for surgery. Methods From January 2014 to January 2016, 15 patients underwent correction of gynecomastia through a single 3-mm incision at our institution. Only patients with true gynecomastia underwent surgery with this new technique. Through the small incision, sharp dissection was performed in a clockwise and counterclockwise direction describing two half-circles. Health-related quality of life and aesthetic outcomes were evaluated using a modified version of the Breast Evaluation Questionnaire (BEQ). Results The patients' average age was 23.5 years (range, 18-28 years), and their average body mass index was $23.2kg/m^2$ (range, $19.2-25.3kg/m^2$). One case was unilateral and 14 cases were bilateral. The weight of glandular tissue resected from each breast ranged from 80 to 170 g. No excess skin was excised. Bleeding was minimal. The mean operating time was 25 minutes (range, 21-40 minutes). No complications were recorded. All lesions were histologically benign. The patients' average score was 3.5 (on a 5-point Likert scale) in all domains of the BEQ for themselves and their partners. Conclusions In this study, we demonstrated the safety and reliability of a new technique that allows mastectomy through an imperceptible 3-mm incision. We obtained high patient satisfaction scores using our surgical technique, and patients reported considerable improvement in their social, physical, and psychological well-being after surgery.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.333-340
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• 2022

The COVID-19 has made everyone anxious and people need to keep their distance. It is necessary to conduct collective assessment and screening of college students' mental health in the opening season of every year. This study uses and trains a multi-layer perceptron neural network model for deep learning to identify facial emotions. After the training, real pictures and videos were input for face detection. After detecting the positions of faces in the samples, emotions were classified, and the predicted emotional results of the samples were sent back and displayed on the pictures. The results show that the accuracy is 93.2% in the test set and 95.57% in practice. The recognition rate of Anger is 95%, Disgust is 97%, Happiness is 96%, Fear is 96%, Sadness is 97%, Surprise is 95%, Neutral is 93%, such efficient emotion recognition can provide objective data support for capturing negative. Deep learning emotion recognition system can cooperate with traditional psychological activities to provide more dimensions of psychological indicators for health.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.641-652
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• 2021

Drivers have willing to do secondary tasks in situations deemed safe autonomous driving. I studied that positive notifications for secure areas could improve situation awareness and driving performance after TOR(Take over request) in autonomous driving. Comparing TOR alert only and monitoring alert conditions, participants in the positive notification condition showed higher situation awareness and driving performance. Also, in emotional assessment, the positive notification condition showed higher positive evaluation than other conditions. Due to Covid-19, I designed experiments separate online with driving videos in experiment 1 and offline using a driving simulator in experiment 2. This study has implications that presented a different perspective on autonomous driving notification design.

• Journal of Preventive Medicine and Public Health
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• v.56 no.2
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• pp.154-163
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• 2023

Objectives: Systemic lupus erythematosus (SLE) or lupus patients usually experience various physical and psychological challenges. Since the coronavirus disease 2019 pandemic, these challenges have become even harsher. Using the participatory action research approach, this study evaluated how an e-wellness program (eWP) impacted SLE-related knowledge and health behaviors, mental health, and quality of life among lupus patients in Thailand. Methods: A 1-group, pretest-posttest design study was conducted among a purposive sample of lupus patients who were members of Thai SLE Foundation. The 2 main intervention components were: (1) online social support, and (2) lifestyle and stress management workshops. Sixty-eight participants completed all the study requirements, including the Physical and Psychosocial Health Assessment questionnaire. Results: After being in the eWP for 3 months, participants' mean score for SLE-related knowledge increased significantly (t=5.3, p<0.001). The increase in sleep hours was statistically significant (Z=-3.1, p<0.01), with the percentage of participants who slept less than 7 hours decreasing from 52.9% to 29.0%. The percentage of participants reporting sun exposure decreased from 17.7% to 8.8%. The participants also reported significantly lower stress (t(66)=-4.4, p<0.001) and anxiety (t(67)=-2.9, p=0.005). The post-eWP quality of life scores for the pain, planning, intimate relationship, burden to others, emotional health, and fatigue domains also improved significantly (p<0.05). Conclusions: The overall outcomes showed promising results of improved self-care knowledge, health behaviors, mental health status, and quality of life. It is recommended that the SLE Foundation continues to use the eWP model to help the lupus patient community.

• Dementia and Neurocognitive Disorders
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• v.23 no.3
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• pp.146-160
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• 2024

Background and Purpose: The emotions of people at various stages of dementia need to be effectively utilized for prevention, early intervention, and care planning. With technology available for understanding and addressing the emotional needs of people, this study aims to develop speech emotion recognition (SER) technology to classify emotions for people at high risk of dementia. Methods: Speech samples from people at high risk of dementia were categorized into distinct emotions via human auditory assessment, the outcomes of which were annotated for guided deep-learning method. The architecture incorporated convolutional neural network, long short-term memory, attention layers, and Wav2Vec2, a novel feature extractor to develop automated speech-emotion recognition. Results: Twenty-seven kinds of Emotions were found in the speech of the participants. These emotions were grouped into 6 detailed emotions: happiness, interest, sadness, frustration, anger, and neutrality, and further into 3 basic emotions: positive, negative, and neutral. To improve algorithmic performance, multiple learning approaches were applied using different data sources-voice and text-and varying the number of emotions. Ultimately, a 2-stage algorithm-initial text-based classification followed by voice-based analysis-achieved the highest accuracy, reaching 70%. Conclusions: The diverse emotions identified in this study were attributed to the characteristics of the participants and the method of data collection. The speech of people at high risk of dementia to companion robots also explains the relatively low performance of the SER algorithm. Accordingly, this study suggests the systematic and comprehensive construction of a dataset from people with dementia.

• Korean Journal of Forensic Psychology
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• v.13 no.2
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• pp.121-145
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• 2022

The current study applied the random forest algorithm to Korean crime victim survey data collected biennially between 2010 and 2018 to explore the relationship between crime/victim characteristics and the victim's criminal damages. A total of 3,080 cases including gender, age (life cycle stage), type of crime, perpetrator acquisition, repeated victimization, psychological damage (depression, isolation, extreme fear, somatic symptoms, interpersonal problems, moving out to avoid people, suicidal impulses, suicide attempts), and emotional changes after victimization (changes in self-protection confidence, self-esteem, confidence in others, confidence in legal institutions, and respect for Korean legal system/law) were analyzed. Considering the features of data that are difficult to apply traditional statistical techniques, this study implemented random forest algorithms to predict crime and victim characteristics using the victim's criminal damages (psychological damage and emotional change) and selected good predictors using VSURF function in VSURF package for R. As a result of the analysis, it was confirmed that the relationship between the type of crime and depression, extreme fear, somatic symptoms, and interpersonal problems, between perpetrator acquisition and somatic symptoms and interpersonal problems, and between repeated victimization and changes in respect for Korean legal system/law. Gender and life cycle stage (youth/adult/elderly) were found to be related to extreme fear and changes in self-protection confidence, respectively. However, more empirical evidence should be aggregated to explain the results as meaningful. The results of this study suggest that it is necessary to enhance the experts' knowledge and educate them on cases about the relationship between crime/victim characteristics and criminal damage. Strengthening their interview strategy and knowledge about law/rules were also needed to increase the effectiveness of the Korean victim assessment system.