• Korean Journal of Social Welfare
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• v.39
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• pp.350-373
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• 1999

The patient population of U. S. state mental hospitals has changed drastically since the 1960s, when the deintstitutionalization movement began. This paper is designed to look at what happened to the number of inpatients of state hospitals in California during the last 150 years and, from this, to explore implications for the future of the mental health system in Korea, especially for the viability of mental hospitals. The data had been collected by field research(visits to state hospitals and State Department of Mental Health, and interviews with mental health administrators) and accessing statistical publications and various reports. Since the first state hospital opened in 1851 the statewide inpatient population of individuals who were mentally disabled has grown and peaked at 37,489 in 1959. The number of patients in state hospitals, however, began declining in the early 1960s and was reduced to 10,874 by 1971, and to 4,973 by 1986. As of 1997, there were only 4, 263 inpatients remaining in the state hospital system. This dramatic decrease slowed down somewhat in 1980s and 1990s, but this trend seems irreversible except for the inpatients referred by the court. Now the beds in state hospitals are filled with more and more forensic patients, which constitutes nearly 70% of the total inpatient population. Based on these findings, it is well expected that the number of inpatients of mental hospitals in Korea will also be reduced in a significant way as the community-based mental health care system is gradually replacing the traditional one. Mental hospitals need to introduce more diversified programs for the care of the mentally ill, and concurrently more vigorous aftercare programs are required in the community.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.660-662
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• 2022

Due to the prolonged aftermath of COVID-19, the number of modern people suffering from stress and mental illness is increasing. Recently, various methods of color therapy are being studied using LED lighting to improve concentration, relieve stress, manage skin, and improve sleep quality. In this paper, pulse waves are measured and heart rate variability is extracted using a PPG (Photoplethysmogram) sensor to analyze a person's mental and physical state. Using RGBLED and Arduino, we propose a mood lighting system that automatically changes colors according to changes in mental and physical conditions by producing color lighting of various wavelengths, which are mainly used to stabilize the mental state.

• Journal of dental hygiene science
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• v.4 no.1
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• pp.39-44
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• 2004

The primary purpose of this report is to investigate the index of dental caries experiences and the state of oral hygiene for the children with mental retardation, cerebral palsy, and autism. In order to get those things we investigated 99 students that ages from 8 to 13 in three special schools (which are the school for the children with mental retardation, physical difficulties, emotional disturbance). Then collected the statistics and examined if there were some regardful differences among each type. (1) The investigation shows that there is no regardful differences among them in statistice. However, the averages of their dental caries experience have a little gap. The average of the children with mental retardation group is the highest and the autistic children group is the lowest, as we can see the facts of 4.70 for group of children with mental retardation, 4.58 for group of children with cerebral palsy, 3.67 for group of autistic children, children with mental retardation group is severe, autistic children group is few. (2) The conclusion from research of oral hygiene among each type, statistically regardful differences were revealed (p<0.05). It shows children with cerebral palsy is on worst state, children with mental retardation is on next state, autistic children is on best state by compare for averages among each type, 32.30 for group of children with mental retardation 35.00 for group of children with cerebral palsy, 27.79 for autistic children.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.295-301
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• 2021

Individual mental fatigue not only reduces cognitive ability and work performance, but also becomes a major factor in large and small accidents occurring in daily life. In this paper, a CNN model for EEG-based mental fatigue discrimination was proposed. To this end, EEG in the resting state and task state were collected and applied to the proposed CNN model, and then the model performance was analyzed. All subjects who participated in the experiment were right-handed male students attending university, with and average age of 25.5 years. Spectral analysis was performed on the measured EEG in each state, and the performance of the CNN model was compared and analyzed using the raw EEG, absolute power, and relative power as input data of the CNN model. As a result, the relative power of the occipital lobe position in the alpha band showed the best performance. The model accuracy is 85.6% for training data, 78.5% for validation, and 95.7% for test data. The proposed model can be applied to the development of an automated system for mental fatigue detection.

• Toxicological Research
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• v.34 no.1
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• pp.75-81
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• 2018

Animal experiments have been widely conducted in the life sciences for more than a century, and have long been a subject of ethical and societal controversy due to the deliberate infliction of harm upon sentient animals. However, the harmful use of animals may also negatively impact the mental health of researchers themselves. We sought to evaluate the anxiety level of researchers engaged in animal use to analyse the mental stress from animal testing. The State Anxiety Scale of the State-Trait Anxiety Inventory (STAI) was used to evaluate how researchers feel when they conduct animal, as opposed to non-animal, based experiments (95 non-animal and 98 animal testing researchers). The Trait Anxiety Scale of STAI was employed to measure proneness to anxiety, namely the base trait of the researchers. Additionally, the information on sex, age, education, income, and total working periods was collected. While the Trait Anxiety scores were comparable ($41.5{\pm}10.9$ versus $42.9{\pm}10.1$, p = 0.3682, t-test), the State Anxiety scores were statistically significantly higher for animal users than non-animal users ($45.1{\pm}10.7$ versus $41.3{\pm}9.4$, p = 0.011). This trend was consistent for both male and female. Notably, younger animal testers (${\leq}30$ years of age) with less work experience (${\leq}2$ years) and lower income level (${\leq}27,000$ USD) exhibited higher anxiety scores, whereas these factors did not affect the anxiety level of non-animal users. The present study demonstrated that participation in animal experiments can negatively impact the mental health of researchers.

• Journal of Biomedical Engineering Research
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• v.33 no.1
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• pp.15-24
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• 2012

Classification of human thought is an emerging research field that may allow us to understand human brain functions and further develop advanced brain-computer interface (BCI) systems. In the present study, we introduce a new approach to classify various mental states from noninvasive electrophysiological recordings of human brain activity. We utilized the full spatial and spectral information contained in the electroencephalography (EEG) signals recorded while a subject is performing a specific mental task. For this, the EEG data were converted into a 2D spatiospectral pattern map, of which each element was filled with 1, 0, and -1 reflecting the degrees of event-related synchronization (ERS) and event-related desynchronization (ERD). We evaluated the similarity between a current (input) 2D pattern map and the template pattern maps (database), by taking the inner-product of pattern matrices. Then, the current 2D pattern map was assigned to a class that demonstrated the highest similarity value. For the verification of our approach, eight participants took part in the present study; their EEG data were recorded while they performed four different cognitive imagery tasks. Consistent ERS/ERD patterns were observed more frequently between trials in the same class than those in different classes, indicating that these spatiospectral pattern maps could be used to classify different mental states. The classification accuracy was evaluated for each participant from both the proposed approach and a conventional mental state classification method based on the inter-hemispheric spectral power asymmetry, using the leave-one-out cross-validation (LOOCV). An average accuracy of 68.13% (${\pm}9.64%$) was attained for the proposed method; whereas an average accuracy of 57% (${\pm}5.68%$) was attained for the conventional method (significance was assessed by the one-tail paired $t$-test, $p$ < 0.01), showing that the proposed simple classification approach might be one of the promising methods in discriminating various mental states.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4979-4988
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• 2013

This study was aimed to identify the differences and relation of eating, physical activity behavior and mental-psychological state according to the level of internet addiction in adolescents. A self-report by on-line survey was conducted on 73238 middle & high students, who are 12 and 18 years old in South Korea. The questionnaires utilized in this study were eatings, physical activities, perceived happiness and mental health. Data were analyzed with descriptive statistics, $x^2$-test, ANOVA and Pearson's correlation coefficient using SPSS WIN 14.0 program. All participants were general group 94.5%, potential group 2.5%, high risk group 3.0% classified. Violent, Muscle strengthening did not show a significant difference on three groups. Eating, physical activity, mental-psychological health and internet addiction was a correlation, eating and mental-psychological health did not show a correlation. The study suggests adolescents internet addiction prevention education to include Eating, physical activity, mental-psychological health.

• Journal of Sasang Constitutional Medicine
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• v.19 no.2
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• pp.204-212
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• 2007

1. Objectives The purpose of this case is to report that a Soeumin patient with cognitive disorder from traumatic head injury needed to be managed with the consideration of the difference of Nature and Emotion(性情). 2. Methods To evaluate the patient's cognition disorder and mental state, we performed the MMSE(Mini-Mental State Examination) and the MMPI(Minnesota Multiphasic Personality Inventory). and he was diagnosed as Soeumin and treated by Kwakhyangchungki-san(藿香正氣散) mainly. 3. Results and Conclusions (1) In this case, we observed specifically-biased Nature and Emotion(性情) of Soeumin like ‘恒欲處而不欲出’, ‘恒欲爲雌而不欲爲雄’, ‘喜別人之助己也’. ‘喜好不定’, ‘不安定之心’ (2) The management of Soeumin with cognitive disorder from traumatic head injury is that he or she should live together his or her family, and have an active manner with a generous and broad-minded mental attitude. (3) A therapist must give a patient mental support and inspire him or her with courage. (4) The deviation of Nature and Emotion(性情) should be taken into consideration when we manage the patient with cognitive disorder from traumatic head injury.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2875-2878
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• 2003

In this paper, we propose an EEG-based mental state prediction method during a mental tasks. In the experimental task, a subject goes through the process of responding to visual stimulus, understanding the given problem, controlling hand motions, and hitting a key. Considering the subject's varying brain activities, we model subjects' mental states with defining selection time. EEG signals from four subjects were recorded while they performed three mental tasks. Feature vectors defined by these representations were classified with a standard, feed-forward neural network trained via the error back-propagation algorithm. We expect that the proposed detection method can be a basic technology for brain-computer interface by combining with left/right hand movement or cognitive decision discrimination methods.

• Proceedings of the KOSOMBE Conference
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• v.1996 no.11
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• pp.247-250
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• 1996

In this paper, we tried to analyze the mental states, especially alertness or degree of concentration, by analysis of Visual Evoked Potentials. Given task to the visual stimulation, there was warning signals to enhance the alertness of the subject. With the synchronization to the stimulus, we averaged the EP waves, and estimated the power spectrums to view difference between relatively less alerted state and more alerted state. Although there was no significant difference during the waiting for the stimuli, we could find some difference during task performing.