• 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.

• The Korean Journal of Applied Statistics
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• v.17 no.3
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• pp.535-545
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• 2004

The clustering method suggested in this paper produces clusters based on the 'rules of variables' by merging the 'training' and the identically structured reference data and then by filtering it to obtain the clusters of the 'training data' through the use of the 'tree classification model'. The reference dataset is generated by spatially contrasting it to the 'training data' through the 'reverse arcing' algorithm to effectively identify the clusters. The strength of this method is that it can be applied even to the mixture of continuous and discrete types of 'training data' and the performance of this algorithm is illustrated by applying it to the simulated data as well as to the actual data.

• Journal of Korean Physical Therapy Science
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• v.27 no.2
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• pp.63-79
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• 2020

Background: A physical therapy is required to restore motor function of stroke patients, especially gait function improvement is very important to them. Design: Systemic review. Methods: The purpose of this study is to provide objective evidence for the effectiveness of the treadmill training method applied to stroke patients. The literature search for a systematic review was performed on domestic data published from 2010 to 2020 at KISS, RISS, and DBpia. Results: 40 papers meeting the inclusion/exclusion criteria were finally selected. Data analysis was performed according to the research type, intervention method and process, measurement variables, and the risk of bias assessment was conducted as quality evaluation. Conclusion: Various training methods have been suggested and proved that treadmill intervention is an effective method for improving gait and balance. As the goal of rehabilitation for stroke patients is to improve walking and balance, we expect continuous clinical research to continue to establish a more systematic training program and present a new paradigm.

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.187-195
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• 2014

To improve oral hygiene management, the effects of toothbrush training on general oral hygiene based on the simplified oral hygiene index(S-OHI) and degree of knowledge about toothbrushing were examined. Pre-and post-training changes in the S-OHI (lower score = better oral health status) showed a significant decrease in score in all variables (gender, age, marital status, occupation, and level of education).Pre- and post-training changes in the degree of knowledge about toothbrushing showed a significant increase. Negative correlations between the S-OHI, oral health status, and degree of knowledge about toothbrushing and the S-OHI and the Decayed, Missing, Filled (DMF) index (the better the oral cavity environment, the lower the DMF index) were observed. Positive effects of repeated toothbrush training on the maintenance of healthy oral cavity environment and continuous oral health management were observed, as reflected by the correct toothbrushing-related knowledge and skills.

• Journal of The Korean Society of Integrative Medicine
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• v.1 no.4
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• pp.9-14
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• 2013

Purpose : The purpose of this study was to investigate the effect of visual Auditory rhythmic stimulation(VARS) in gait ability and proprioception with chronic stroke patients. Twenty-one persons after six months post stroke participated in pre test-post test control. Method : The subjects were randomly assigned to a visual Auditory rhythmic stimulation(VARS) group (n=10) and control group (n=11). Training process was practiced with exercise on thirty minutes a day, three days a week for four weeks. To find out the effect, inspected the FRT(functional reach test) by static balance and TUG(timed up and go test) by dynamic balance. Results : In static balance, FRT distance was significantly different between two group. In dynamic balance, TUG time was significantly different between two group. This study showed that the VARS training increase a balance by postural adjustment of chronic stroke patients more than control group. And so, the VARS training of hemiplegic patients was very important to successive rehabilitation. Conclusion : A continuous examination of VARS training could practical used of physical therapy with exercise.

• Physical Therapy Rehabilitation Science
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• v.2 no.1
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• pp.7-11
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• 2013

Objective: Final goal of nerve advancement therapy is to provide maximum ability to function independently in life to patients. This paper appraises and describes basic concepts of the virtual reality (VR) based exercise program to improve functional movement for neurologically impaired patients. Design: Review article. Methods: Stroke patients from the physical therapy department while wearing comfortable clothing receive therapy and also VR based motion therapy administered by the therapist in charge. After evaluation of stroke patients, therapy includes an exercise program that is suitable for use with stroke patients; stroke patients wear head-mounted display while in front of the computer, where the camera is located; they follow the action on the screen and the computer perceives the operation of the stroke patients according to subject accomplishment. Results: According to obstacle condition of stroke patients using the method, which is various environments after setting, in stroke patients, there is a possibility of presenting suitable therapeutic environments. The display presentation of the method, which is identical, causes difficulty for all stroke patients. According to subject accomplishment; stroke patients result in execution of repetition training and deepening study, which leads to mobility. Conclusions: The VR based rehabilitation training programs is a difference of the existing video training program, is immediate feedback and compensation method. It will provide rehabilitation training services for the family of the patient whose condition could be improved with rehabilitative therapy where it is a continuous circumstance as a matter of the social welfare facility therapy.

• The Journal of Korea Robotics Society
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• v.18 no.3
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• pp.293-298
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• 2023

The military is facing a continuous decrease in personnel, and in order to cope with potential accidents and challenges in operations, efforts are being made to reduce the direct involvement of personnel by utilizing the latest technologies. Recently, the use of various sensors related to Manned-Unmanned Teaming and artificial intelligence technologies has gained attention, emphasizing the need for flexible utilization methods. In this paper, we propose four dataset construction methods that can be used for effective training of robots that can be deployed in military operations, utilizing not only RGB image data but also data acquired from IR image sensors. Since there is no publicly available dataset that combines RGB and IR image data, we directly acquired the dataset within buildings. The input values were constructed by combining RGB and IR image sensor data, taking into account the field of view, resolution, and channel values of both sensors. We compared the proposed method with conventional RGB image data classification training using the same learning model. By employing the proposed image data fusion method, we observed improved stability in training loss and approximately 3% higher accuracy.

• The Journal of the Acoustical Society of Korea
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• v.16 no.3
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• pp.64-72
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• 1997

In this paper, study and experiments are performed for finding recognition unit fit which can be used in large vocabulary recognition system. Specifically, a phoneme that is currently used as recognition unit and a syllable in which Korean is well characterized are selected. From comparisons of recognition experiments, the study is performed whether a syllable can be considered as recognition unit of Korean recognition system. For report of an objective result of the comparison experiment, we collected speech data of a male speaker and processed them by hand-segmentation for phoneme boundary and labeling to construct speech database. And for training and recognition based on HMM, we used HTK (HMM Tool Kit) 2.0 of commercial tool from Entropic Co. to experiment in same condition. We applied two HMM model topologies, 3 emitting state of 5 state and 6 emitting state of 8 state, in Continuous HMM on training of each recognition unit. We also used 3 sets of PBW (Phonetically Balanced Words) and 1 set of POW(Phonetically Optimized Words) for training and another 1 set of PBW for recognition, that is "Speaker Dependent Medium Vocabulary Size Recognition." Experiments result reports that recognition rate is 95.65% in phoneme unit, 94.41% in syllable unit and decoding time of recognition in syllable unit is faster by 25% than in phoneme.

• Journal of Community Nutrition
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• v.5 no.4
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• pp.239-245
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• 2003

Millions people in the US suffer from foodborne illnesses each year. In the US, multiple government agencies work separately or together to ensure the nation's food safety for different audiences. FDA plays a key role in ensuring food safety in foodservice operations by providing the Food Code. School foodservice operations must follow the FDA guidelines on food safety and make sure that foods produced in school foodservice are safe. Despite the continuous efforts, school foodservice operations were responsible for numerous foodborne outbreaks. Currently, school foodservice operations serve younger children (<5 years) and children with medical conditions which make the food safety extremely important. There are many programs that foodservice operators can use to train and educate their employees. ServSafe$\^$ⓡ/tate or local food safety education programs, Serving It Safe, and HACCP workshop are common programs that can be used to train their staff. HACCP is a preventative program that can prevent foodborne illnesses before they occur. Although there are many benefits of utilizing HACCP and training programs, a majority school foodservice directors and managers still did not implement HACCP nor perceived their food safety training is adequate. Most reasons why not implementing HACCP program are lack of trained personnel, time, and financial resources in the school foodservice systems. The gap between what people know and what people do is another challenge identified as an obstacle food safety programs. Despite safe food sources in the US, continuous training is necessary to remove human errors and ensure food safety in the school foodservice systems. Future research is recommended to reduce gap between food safety knowledge and behavior. Foodservice operators and researchers may apply the systems developed in the US to their food systems.

• Journal of Sleep Medicine
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• v.15 no.2
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• pp.48-54
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• 2018

Objectives: The aim of this study was to develop a predicting model for the optimal continuous positive airway pressure (CPAP) for obstructive sleep apnea (OSA) patient with obesity by using a machine learning. Methods: We retrospectively investigated the medical records of 162 OSA patients who had obesity [body mass index (BMI) ≥ 25] and undertaken successful CPAP titration study. We divided the data to a training set (90%) and a test set (10%), randomly. We made a random forest model and a least absolute shrinkage and selection operator (lasso) regression model to predict the optimal pressure by using the training set, and then applied our models and previous reported equations to the test set. To compare the fitness of each models, we used a correlation coefficient (CC) and a mean absolute error (MAE). Results: The random forest model showed the best performance {CC 0.78 [95% confidence interval (CI) 0.43-0.93], MAE 1.20}. The lasso regression model also showed the improved result [CC 0.78 (95% CI 0.42-0.93), MAE 1.26] compared to the Hoffstein equation [CC 0.68 (95% CI 0.23-0.89), MAE 1.34] and the Choi's equation [CC 0.72 (95% CI 0.30-0.90), MAE 1.40]. Conclusions: Our random forest model and lasso model ($26.213+0.084{\times}BMI+0.004{\times}$apnea-hypopnea index+$0.004{\times}oxygen$ desaturation index-$0.215{\times}mean$ oxygen saturation) showed the improved performance compared to the previous reported equations. The further study for other subgroup or phenotype of OSA is required.