• The Journal of Korean Physical Therapy
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• 제27권5호
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• pp.325-331
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• 2015

Purpose: This study attempts to understand the effect of stabilization exercise of biofeedback scapular on muscle activity and functional evaluation of the upper extremity in stroke patients. Methods: Patients were divided into two groups; a biofeedback scapular stabilization exercise group comprised of 8 patients and a task-oriented training group including another 8 patients, and 30-minute exercise was performed 5 times a week for 8 weeks. Electromyogram was used to measure muscular activity of lower trapezius, deltoid middle, and serratus anterior. Fugl-Meyer Assessment and Manual Function Test were used to evaluate functions of the muscles mentioned. Results: Significant difference was observed in the comparison group before and after exercise in muscular activity of lower trapezius, deltoid middle, and serratus anterior, Fugl-Meyer Assessment, and Manual Function Test. Conclusion: Therefore, we could see that biofeedback scapular stabilization exercise is more effective than task-oriented training in facilitating muscle activation and functional capacity of upper limb.

• The Journal of Korean Physical Therapy
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• 제14권4호
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• pp.441-453
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• 2002

The purpose of this study was to characterize lesion development, neural plasticity, and motor learing after spinal cord injury. Facilitatory intervention such as weight bearing and locomotor training after SCI may be more effective than compensatory strategies at inducing neuroplasticity and motor recovery. Minimal tissue sparing has a profound impact on segmental systems and recovery of function Spinal animal could functional locomotion when subjected to repetitive stimulation. task-specific learning of isolated lumbar spinal could improve motor performance more then other task learning.

• 감성과학
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• 제21권3호
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• pp.83-102
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• 2018

The process model of emotion regulation suggests that cognitive reappraisal and expressive suppression engage at different time points in the regulation process. Although multiple brain regions and networks have been identified for each strategy, no articles have explored changes in network characteristics or network connectivity over time. The present study examined (a) the whole-brain network and six other resting-state networks, (b) their modularity and global efficiency, which is an index of the efficiency of information exchange across the network, (c) the degree and betweenness centrality for 160 brain regions to identify the hub nodes with the most control over the entire network, and (d) the intra-network and inter-network functional connectivity (FC). Such investigations were performed using a traditional large-scale FC analysis and a relatively recent sliding window correlation analysis. The results showed that the right inferior orbitofrontal cortex was the hub region of the whole-brain network for both strategies. The present findings of temporally altering functional activity of the networks revealed that the default mode network (DMN) activated at the early stage of reappraisal, followed by the task-positive networks (cingulo-opercular network and fronto-parietal network), emotion-processing networks (the cerebellar network and DMN), and sensorimotor network (SMN) that activated at the early stage of suppression, followed by the greater recruitment of task-positive networks and their functional connection with the emotional response-related networks (SMN and occipital network). This is the first study that provides neuroimaging evidence supporting the process model of emotion regulation by revealing the temporally varying network efficiency and intra- and inter-network functional connections of reappraisal and suppression.

• 한국전문물리치료학회지
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• 제21권2호
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• pp.18-27
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• 2014

The purpose of this study was to examine the effects of dual-task training (cognitive and exercise tasks) on the balance and gait performance of chronic stroke patients. Eighteen subjects with chronic stroke were divided equally into two groups, an experimental group and a control group. Subjects in both groups participated in an exercise program, performing the same tasks, for 45 minutes per day, three times per week for four weeks. The experimental group also performed additional cognitive task. The experimental group showed a more significant improvement than the control group on the Berg Balance Scale, the Timed Up and Go Test, the Korean Activities-Specific Balance Confidence Scale, and the Functional Gait Assessment (p<.05). The cognitive task error rates in the final week were significantly less than in the first week in the experimental group (p<.01). These results suggest that dual-task training for chronic stroke patients is effective in improving balance, gait, and cognitive abilities.

• Asia pacific journal of information systems
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• 제11권1호
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• pp.61-73
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• 2001

Predicting a variable using other variables in a large data set is a very difficult task. It involves selecting variables to include in a model and determining the shape of the relationship between variables. Nonparametric regression such as smoothing splines and neural networks are widely-used methods for such a task. We propose an alternative method based on a genetic algorithm(GA) to solve this problem. We applied GA to regression splines, a nonparametric regression method, to estimate functional forms between variables. Using several simulated and real data, our technique is shown to outperform traditional nonparametric methods such as smoothing splines and neural networks.

• 로봇학회논문지
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• 제13권3호
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• pp.164-173
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• 2018

This paper proposes functional test methods of first-aid gadgets which are special end-effectors, for relief robot. In recent years, researches have been actively conducted on robots that can perform rescue operations on behalf of rescue workers in dangerous areas such as disasters and wars. These special robots mainly perform the task of finding or transporting injured people. However, it is sometimes they necessary to provide first aid in the field. Among the various first-aid operations, gadgets are being developed for oxygen supply, injection, and hemostasis operations that can be used in a defense/civilian area by using robot technology. Previous studies have proposed first-aid gadgets that are suitable for onsite situations and enable robots to perform the given task quickly and accurately. In this paper, we design a test procedure suitable for the functions of first-aid gadgets, summarize the results, and introduce future research directions.

• Investigative Magnetic Resonance Imaging
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• 제5권1호
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• pp.24-32
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• 2001

Purpose : We investigated the reproducibility of language lateralization by 4 different word generation paradigms or the rest contents in each paradigm using functional magnetic resonance imaging in normal volunteers Materials and Methods Nine normal volunteers with left-handedness (mean age: 25 yrs) were examined on a 1.57 MR unit using a single-shot gradient echo epibold sequence. Four different word generation paradigms of noun, verb, adjective and adverb were used in each normal volunteer for investigating language system. In each paradigm, two different rest contents consisted of only seeing the " +" symbol or reading the meaningless letters. Each task consisted of 96 phases including 3 activations and 6 rests of 2 different contents. Two activation maps in one task were obtained under two different rest contents using the correlation method. We evaluated the detection rates of Broca and Wernicke areas and the differences of language lateralization among four different word generation paradigms, or between the rest contents. Results : The detection rates of Broca and Wernicke areas were over 67 % in 4 different language paradigms and there was no significant difference of them among language paradigms, or between two different rest contents. Language dominances, in all 4 different language paradigms, were shown to be consistent in 66 %, but were contrary with language paradigms in some subjects. The rest contents made no significant effect on dominant language dominance determination, but the success rates of the dominant language dominances determined from 4 language paradigms were higher in reading the meaningless letter (100%, n=9) than in only seeing "+" on screen at the rest task (78%, n=7).

• 한국산학기술학회논문지
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• 제20권5호
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• pp.599-604
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• 2019

본 연구에서는 스마트폰 사용자의 사용습관 및 하드웨어 특성이 스마트폰의 기능 수행도에 어떻게 영향을 미치는지를 알아보았다. 특히 스마트폰 기능 요소와 사용습관과의 상관관계를 이해하는데 중점을 두었다. 기능성으로는 전부 11 종류의 기능 요소를 정의하였다. 스마트폰 특성은 하드웨어적 특성 및 사용자 사용습관 특성으로 정하였다. 스마트폰 기능별 실측치를 구하기 위해 전부 80명으로 구성된 평가단을 편성하였다. 평가단은 미리 정의된 11개의 기능 요소들에 대해 각 기능 수행에 실제로 소요되는 시간을 스톱워치를 이용하여 측정하였으며 각 기능 요소별로 5회씩 관측하고 데이터를 수집하였다. 기능 요소별 실측치를 종속변수로, 설문지를 통해 수집한 하드웨어 특성, 사용자의 사용습관 등을 전부 12개의 독립변수로 분류하여 Minitab ver.14를 이용하여 회귀분석을 실시하였다. 전반적으로 볼 때, 스마트폰 사용자의 인구통계학적 특성, 하드웨어 특성은 기능 수행에 크게 영향을 미치지 않았다. 그러나 스마트폰 사용습관과 관련한 변수들은 전체적으로 스마트폰 기능 수행도에 커다란 영향을 미쳤으며 그 결과, 과제 수행 시간이 증가하였다. 단순입력 변수 또는 시청 변수에서는 사용성에 미치는 영향은 비교적 미미했지만, 적극 활용 변수에서는 전화걸기, 전화번호 찾기, 사전 검색을 제외한 모든 과제에서 수행시간이 10% - 30%로 크게 증가하였다. 지금까지 스마트폰의 사용자 인터페이스 방식이 크고 단순한 방식으로 일률적으로 제공되었다면, 사용습관이 다양한 계층은 입력 방식이나 과제 처리 방식에 있어서 좀 더 복잡하고 다양한 형태의 인터페이스 방식이 제공되더라도 충분히 활용할 수 있다고 생각한다.

• 한국의류산업학회지
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• 제12권5호
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• pp.599-607
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• 2010

This study analyzed how the self-efficacy and commitment on functional satisfaction and repurchase intentionof mountaineering apparels. The survey was conducted over the climbers with 298 subjects. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, and regression analysis. The results showed that the self-efficacy of climbers were classified into self-regulated efficacy, self-confidence, and task difficulty preference, and the commitment of climbers were classified into behavioral commitment and cognitive commitment. The self-regulated efficacy and self-confidence influenced the behavioral commitment and the self-regulated efficacy influenced the cognitive commitment. The behavioral commitment and cognitive commitment influenced the functional satisfaction and repurchase intention of mountaineering apparels. The functional satisfaction influenced the repurchase intention of mountaineering apparels.

• Nuclear Engineering and Technology
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• 제46권6호
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• pp.753-772
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• 2014

The paper presents functional modelling and its application for diagnosis in nuclear power plants. Functional modelling is defined and its relevance for coping with the complexity of diagnosis in large scale systems like nuclear plants is explained. The diagnosis task is analyzed and it is demonstrated that the levels of abstraction in models for diagnosis must reflect plant knowledge about goals and functions which is represented in functional modelling. Multilevel flow modelling (MFM), which is a method for functional modelling, is introduced briefly and illustrated with a cooling system example. The use of MFM for reasoning about causes and consequences is explained in detail and demonstrated using the reasoning tool, the MFMSuite. MFM applications in nuclear power systems are described by two examples: a PWR; and an FBR reactor. The PWR example show how MFM can be used to model and reason about operating modes. The FBR example illustrates how the modelling development effort can be managed by proper strategies including decomposition and reuse.