• Journal of Life Science
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• v.26 no.1
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• pp.129-139
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• 2016

Exercise increases the expression and interaction of major neurotrophic factors such as brain-derived neurotrophic factor (BDNF), insulin-like growth factor-1 (IGF-1), and vascular endothelial growth factor (VEGF) at both central and peripheral tissues, which contributes to improved brain and neural plasticity and cognitive function. Previous findings have been to understand the effect of light or moderate intensity aerobic exercise on neurotrophic factors and cognitive function, not that of high intensity aerobic exercise. However, recent findings suggest that high intensity interval training is a safe, less time-consuming, efficient way to improve cardiorespiratory fitness and weight control, thus American College of Sport Medicine (ACSM)’s guidelines for exercise prescription for various adult populations also recommend the application of high intensity interval training to promote their overall health. High intensity interval training also enhances the expression of BDNF, IGF-1, and VEGF at the brain and peripheral tissues, which improves cognitive function. Increased frequency of intermittent hypoxia and increased usage of lactate as a supplementary metabolic resource at the brain and neural components are considered a putative physiological mechanism by which high intensity interval training improves neurotrophic factors and cognitive function. Therefore, future studies are required to understand how increased hypoxia and lactate usage leads to the improvement of neurotrophic factors and what the related biological mechanisms are. In addition, by comparing with the iso-caloric moderate continuous exercise, the superiority of high intensity interval training on the expression of neurotrophic factors and cognitive function should be demonstrated by associated future studies.

• Journal of Korean Academy of Nursing
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• v.19 no.2
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• pp.191-202
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• 1989

This study was peformed to examine the effect of muscle relaxation training on patients with insomnia complaint. The subjects were selected those who have taken poor sleep below 240-300 minutes. per day, between 16-15ages, without organic brain syndroms. Using the Budzinski's muscle relaxation training tapes the patients have been gotten the muscle relaxation training daily during four weeks and examined the state anxiety with Spielberger's Trait-State Anxiety Scale, and investigated Sleep amounts, Blood pressure, Pulse rates, Respiratory rates before and after the muscle relaxation training. The results were as follow : 1. The mean of the State anxiety after the muscle relaxation training(41.8$\pm$6.4) was significantly lower than that of before training (54.2$\pm$7.0) (p＜0.001). 2. The mean of systolic blood pressure after the training (114.$\pm$7.8mmHg) was significantly lower than that of before training (139.0$\pm$9.8) (P＜0.001). 3. The mean of Pulse rate after the traing (89.2$\pm$3.0) was significantly lower than that of before training (103.9$\pm$7.4) (P＜0.001). 4. The mean of Respiratory rate after the training(18.6$\pm$1.0) was significantly lower than that of before training(22.8$\pm$1.3) (P＜0.001). 5. The mean of Sleep amount after the muscle relaxation training (459.8$\pm$52.4 minutes) was significantly increased than that of before training (287.3$\pm$30.3) (P＜0.001).

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.4
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• pp.918-929
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• 2008

This study investigated the effects of inverted position on EEG and heart rate variability before and after Bang song gong. BSG is a training method using in qi-gong and meditation to give a convergence of consciousness on body segments in order and take a silent speech of 'song'. The subjects were the 14 university students(n=7 per group) who had not experienced any medical problem and had not practiced BSG. They took a practice of the two way of BSG training program for 30 minutes every other day for two weeks. During practicing BSG, A group took sitting position and lean sitting position by turns, B group took inverted and lean sitting position in the same way. Statistical analysis conducted by two-way ANOVA($2groups^{\ast}2periods$) with p<0.05 for average difference of EEG and HR according to position change in each group before and after BSG. In A group, EEG and HR were changeless irrespective of the change of position and BSG. On the other hand, in B group, significant changes were observed in EEG(p<0.05). ${\alpha}$ wave of inverted position were on the increase, ${\beta}$ and ${\delta}$ wave of inverted position showed smaller power after two weeks training. In the variation of HR, there were smaller variation according to the position change after BSG compared to before BSG(p<0.05). The results suggested that an inverted position may make the depth of meditation deeper, and is likely to be effective for decreasing tension of brain and the sleepiness during qi-gong training. In addition to, an inverted position seemed to promote control of blood pressure of brain. So the application of an inverted position to 'BSG' will be very helpful to achieve deeper relaxation and to obtain the desired effect from qi-gong training.

• Therapeutic Science for Rehabilitation
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• v.1 no.2
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• pp.35-40
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• 2012

The purpose of this review was to investigate feasibility of intensive virtual reality training to improve upper extremity function with brain plasticity of individuals with stroke through the literature. The recovery of the paretic upper extremity depends on regularity and intensity of training as use-dependent plasticity. In resent, virtual reality program has been widely used in the occupational therapy field of augmented stroke rehabilitation. There is a growing body of evidence that virtual reality training of the paretic extremity induces brain plasticity associated with motor improvement. In terms of therapeutic feasibility to improve paretic upper extremity, recent research has explored several important factors of virtual reality training for recovery of upper extremity motor function. These factors include high repetition intensity, high motivation like type of game, enhanced multisensory feedback regarding performance, and interactive task-oriented training. Therefore, occupational therapy combined with intensive and repetitive virtual reality training will enhance recovery of upper extremity motor function after stroke.

• Therapeutic Science for Rehabilitation
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• v.7 no.2
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• pp.9-16
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• 2018

Objective : The aim of this research was to provide EEG (electroencephalogram) basic data in clinical areas through identifying measurement tools, measurement methods, and evaluation and analysis method of the EEG which is a neurological change measurement of patients with brain injury. Methods : Previous studies were found in an electronic database (e.g., PubMed, Science Direct). The keyword search terms were 'Electroencephalography', 'stroke', 'intervention OR training'. Results : Utilitizing brain-computer interface, the EEG, which is a tool for measuring the effects of rehabilitation through changes of brain activation state. Also, it could identify functional brain reorganization mechanism. Whenever a research utilized the EEG, which is composed of various channels, different types of electrode, and varied electrode locations. Conclusions : Through this review, we found that Electroencephalography is possible to neurologically verify the effectiveness of intervention and formulate an intervention strategy for efficient occupational therapy.

• Journal of Music and Human Behavior
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• v.12 no.2
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• pp.19-36
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• 2015

The purpose of this study was to examine the effects of rhythmic auditory stimulation (RAS) on gait parameters, with and without the presence of a melody, for adolescents with traumatic brain injury (TBI). Three adolescents with TBI received a total of ten individual RAS training sessions. At pre and posttest, spatiotemporal parameters including cadence, velocity and kinematic parameters were measured using the VICON 370 Motion Analysis System. The results showed no significant difference in gait velocity between the two conditions, thus the presence of the melody condition did not impact the outcome of RAS gait training. On the other hand, all participants showed improvement in gait function after RAS training. The cadence, velocity, stride length, and symmetry were increased and the stride time was reduced after training. The motion analysis demonstrated that the movement patterns of hip and knee joints improved, as they were more similar to normal gait, which indicates that the walkings tance became more stable. The research findings indicate that rhythm is the primary factor in mediating gait functions via RAS training. This study also supports that RAS training can effectively improve the gait function for adolescents with TBI.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.2
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• pp.285-290
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• 2020

Neuro-feedback is a technology that can identify your brain state and you can intentionally change your brain state. People with attention deficit and hyperactivity disorder need this technology but existing neuro-feedback training has a problem, which is not interesting and maintains a static state for a long time. In this paper, we proposed and implemented a neuro-feedback game that combines neuro-feedback and gun-shooting games to enhance concentration training. The neuro-feedback game has been implemented with the design of EEG measurement system, game controller and gamesoft. We hope that this study will be useful for people suffering from attention deficit and hyperactivity disorder.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.1066-1070
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• 2010

This study was to examine the effectiveness of Neurofeedback training by observing the pre and post brain wave measurement results of about S kindergarten kids 40 (experimental group 20 comparative group 20) subjects who have shown resistance stress, in between the months of Jan. 2008 and Dec. 2008. As the brain waves are adjusted by time series linear analysis, the result confirmed the differences of both resistance stress. The result of the study suggest Neurofeedback technique's possibility in positively affecting the subjects' mental state.

• ETRI Journal
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• v.38 no.3
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• pp.487-493
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• 2016

Two new methods are proposed for an unsupervised adaptation of a language model (LM) with a single sentence for automatic transcription tasks. At the training phase, training documents are clustered by a method known as Latent Dirichlet allocation (LDA), and then a domain-specific LM is trained for each cluster. At the test phase, an adapted LM is presented as a linear mixture of the now trained domain-specific LMs. Unlike previous adaptation methods, the proposed methods fully utilize a trained LDA model for the estimation of weight values, which are then to be assigned to the now trained domain-specific LMs; therefore, the clustering and weight-estimation algorithms of the trained LDA model are reliable. For the continuous speech recognition benchmark tests, the proposed methods outperform other unsupervised LM adaptation methods based on latent semantic analysis, non-negative matrix factorization, and LDA with n-gram counting.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.393-396
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• 2011

In this paper, we propose a constrained alternating least squares nonnegative matrix factorization algorithm (cALSNMF) to detect active brain regions from single subject's task-related fMRI data. In cALSNMF, we define a new cost function which considers the uncorrelation and noisy problems of fMRI data by adding decorrelation and smoothing constraints in original Euclidean distance cost function. We also generate a novel training procedure by modifying the update rules and combining with optimal brain surgeon (OBS) algorithm. The experimental results on visuomotor task fMRI data show that our cALSNMF fits fMRI data better than original ALSNMF in detecting task-related brain activation from single subject's fMRI data.