• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3486-3491
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• 2011

This study aims to identify the effect of neurofeedback training by observing the pre and post brainwave measurement results of about 60(experimental group 30, control group 30) subjects who have shown self directed learning ability. The study took place at neuro-training center B, in between the months of Jan. 2010 and Jul. 2010. As the brainwaves are adjusted by timeseries linear analysis. The result confirmed the differences of both self regulation quotient, training protocol, and questionnaire. The result of the study suggest neurofeedback technique's possibility in positively affecting the subjects' self directed learning ability.

• Journal of Biomedical Engineering Research
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• v.28 no.4
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• pp.461-470
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• 2007

Human can learn how to shape their brain electrical activity in a desired direction through continuous feedback of the electroencephalogram (EEG), and this technique is known as Neurofeedback (or EEG biofeedback), which has been used since the late 1960s in clinical applications. In this study, a portable wireless EEG (named wEEG) has been designed and implemented, which consists of a mobile station (a wireless two-channel EEG acquisition device) and a base station (a bridge between mobile station and computer). Moreover, a SensoriMotor Rhythm (SMR) training system was also implemented with the wEEG for enhancing attention with virtual environment. Experiment results based on 16 volunteers' (8 females and 8 males, average age is $27{\pm}4$) were reported in this paper. The results show that the SMR ratio of 87.5% subjects increased about 0.7% in training status than that in the stable status. With the proposed system, many training protocol scan be designed easily and can be done at home in our daily life conveniently. Additionally, the proposed system will be useful for disabled and aged people.

• Physical Therapy Korea
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• v.12 no.1
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• pp.91-99
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• 2005

We assessed whether the use of a symmetrical upper limb motion trainer in daily repetitive training for a 6-week period reduced spasticity and improved motor function in three chronic hemiparetic patients. Upper limb motor impairment and disability were measured by the Fugl-Meyer Assessment (FMA), Modified Ashworth Scale (MAS) and Manual Muscle Test (MMT), respectively. The electromyography (EMG) of the affected hand was recorded during isometric wrist flexion and extension. In all patients, FMA and MMT scores were significantly improved after the 6-week training. However, MAS scores of the affected wrist spasticity did not change considerably. Onset and Offset delays in muscle contraction significantly decreased in the affected wrist. The co-contraction ratio of flexor and extensor muscles significantly increased after the 6-week training. Onset and offset delays of the muscle contraction and co-contraction ratio correlated significantly with the patients' FMA. This study showed that repetitive, symmetric movement training can improve upper limb motor functions and abilities in chronic hemiparetic patients. Also, the EMG assessment of motor response is likely to provide insights into mechanisms and treatment strategies for motor recovery in chronic hemiparetic patients.

• The Journal of Korean Physical Therapy
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• v.17 no.3
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• pp.351-367
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• 2005

The purpose of this study was to identity effects of virtual reality(VR) program related to standing postural control on balance, gait and brain activation patterns in chronic hemiplegic stroke patients. Subjects were assigned randomly to either VR group (n=12) or the control group (n=12) when the study began. Both groups received conventional physical therapy for 2 to 3 times per week. In addition to conventional physical therapies, VR group trained 3 types of virtual reality programs using IREX for standing postural control during 4 weeks (4 times/week, 30 minutes/time). Subjects were assessed for static and dynamic balance parameters using BPM, functional balance using Berg Balance Scale related to movement of paretic lower limb before and after 4 weeks of virtual reality training. The results of this study were as follows. 1. Following VR training, VR group demonstrated the marked improvement on dynamic mean balance, anteroposterior limits of stability (AP angle) and mediolateral limits of stability (ML angle). 2. Following VR training, both groups scored higher on Berg Balance Scale. However, a comparison of mean change revealed differences between groups. In conclusion, these data suggest that the postural control training using VR programs improve dynamic and functional balance performance in chronic hemiplegic stroke patients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.284-285
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• 2016

In this paper, reflecting the index of concentration and real-time EEG measurement, implementation of the game-type content that can be centralized power of training. Implemented content, for more effective training, based on the brain wave difference in each user, by reflecting an indication of concentration, it is possible by level training. In order to evaluate the usefulness of the implemented content, to target the five subjects, is underway to improve training of concentration, through a comparative analysis of the changes in the index of ability to concentrate, to confirm the improvement of the concentration of the user it could be.

• Journal of Korean Physical Therapy Science
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• v.19 no.3
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• pp.17-22
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• 2012

Background : The purpose of this study was to investigate the relationship between an agility and a concentration, an auditory reaction time and a muscle power. Methods : Twenty one healthy female college students who were 20-21 years participated in the experiment; after being introduced to the methods, they voluntarily signed a consent form. And they received several test related with this study; side step test for an agility, Harris & Harris test for a concentration, brain auditory evoked potential test for an auditory reaction time and vertical jump test for a muscle power. Result : There was no relationship between the agility and the concentration and the auditory reaction time. However, the muscle power related with the agility significantly. Conclusion : In conclusion, these findings suggest that a muscle power training is a good way to promote an agility. So, we can find out that, in an player who requires an agility, a muscle power training is the most important way for promoting an agility than a concentration training or an auditory reaction time training.

• Journal of muscle and joint health
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• v.30 no.3
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• pp.230-241
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• 2023

Purpose: This study aimed to verify the effects of a swallowing training program on swallowing function and depression for nursing home residents with dysphagia after stroke. Methods: This is a quasi-experimental study with non-equivalent control group pre-post test design. The program (oro-facial muscle strengthening exercises, swallowing exercises, expiratory muscle strengthening exercises, and brain stimulation exercises) applied to the experimental group three times per week for eight weeks, 40-45 minutes for each intervention. The final data from 42 people (21 experimental and 21 control) were analyzed by SPSS/WIN 25.0 using descriptive statistics. 𝜒² test, t-test, Wilcoxon rank sum test, and Friedman test. Results: The experimental group was significantly improved than control group in oro-facial muscle strength, swallowing symptoms (Z=-2.22, p=.026), and oral intake function level (Z=-2.00, p=.046). However, there was no significant difference between two groups in depression. Conclusion: This study is meaningful in that it reorganized and mediated a swallowing training program as a safe, non-invasive exercise that nurses can implement in a nursing facility with limited medical personnel and it could be easily followed by older adults.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.137-142
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• 2024

Recently, deep learning technology has become those methods as de facto standards in the area of medical data representation. But, deep learning inherently requires a large amount of training data, which poses a challenge for its direct application in the medical field where acquiring large-scale data is not straightforward. Additionally, brain signal modalities also suffer from these problems owing to the high variability. Research has focused on designing deep neural network structures capable of effectively extracting spectro-spatio-temporal characteristics of brain signals, or employing self-supervised learning methods to pre-learn the neurophysiological features of brain signals. This paper analyzes methodologies used to handle small-scale data in emerging fields such as brain-computer interfaces and brain signal-based state prediction, presenting future directions for these technologies. At first, this paper examines deep neural network structures for representing brain signals, then analyzes self-supervised learning methodologies aimed at efficiently learning the characteristics of brain signals. Finally, the paper discusses key insights and future directions for deep learning-based brain signal analysis.

• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.327-335
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• 2020

This study intends to examine the effects of education using robot on computational thinking and attitudes according to left and right brain preference. To execute the study, 17 elementary students at A youth training center in Seoul were selected to participate in the education. And the mean difference was analyzed using matched pair t-test and Mann-Whitey U test. As a result, after participating in the education, there was some statistical significance found in the scores to test student's computational thinking, but not statistical significance on the attitudes. Furthermore, there was no significance found in computational thinking or attitude according to the left and right brain preference. The purpose of this study can be found in that it expands the understanding of education using robot by verifying the efficacy and analyzing differences according to left and right brain preference.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.41-47
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• 2020

This study aims to investigate effects of brain-based learning. 27 primary studies were selected through rigorous search process and analyzed through meta-analytic methods. Research findings are as follows. First, the total effect size was .67. Second, the effect of dependent variables was academic achievement, cognitive domain, and affective domain in order. Third, with respect to types of cognitive domain, the effect was self-regulation, creativity, competence, communication, and research ability in order. Fourth, the effect of affective domains was sociality, learning interest, and subject attitude in order. Fifth, regarding development of cognitive ability, the effect size was combined, brain training, learning environments, and right brain activities in order. Sixth, the effect of learning activities was memory improvement and attention enhancement in order.