• Korean Journal of Occupational Therapy
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• v.26 no.4
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• pp.13-26
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• 2018

Objective : The aim of the study was to investigate the application of nonpharmacological cognitive interventions in patients with dementia. Methods : We searched published studies in KISS, PubMed, and Sciencedirect databases from January 2013 to December 2017. The main keywords used were "Dementia" AND "Cognitive stimulation OR Cognitive rehabilitation OR Cognitive training" and a total of ten studies were selected for analysis from 753 searched articles. Results : Seven of the ten selected studies showed significant improvements in cognitive function after intervention, whereas three studies showed no improvement in cognitive function; however, activation of brain waves, improvement in the relationship between care givers and patients, improvement in the quality of life of care givers, and improvements in visual motor skills were shown. Mini-Mental State Examination(MMSE) was used as the assessment tool for identifying the effects of the cognitive function improvement, and in four studies the quality of life of dementia patients was measured as an intervention effect. The main subject of the cognitive intervention is patients with mild to moderate dementia. Conclusion : The results of this study can be used as a basis for the selection of intervention methods, as well as their duration and assessment, according to the characteristics of dementia patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.267-274
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• 2019

To investigate the effect of high-intensity interval training (HIIT) on the outcomes of cardiac rehabilitation(CR) in elderly and younger patients with myocardial infarction(MI). Of the MI patients who received hospital-based CR from 2015 to 2017, we retrospectively reviewed the medical records of the patients who continued follow-up through the outpatient clinic. A total of 39 patients (20 elderly patients (${\geq}60year$($64.1{\pm}3.6$)) and 19 younger patients (< 60 year($55.6{\pm}2.3$)) was included in this study. The HIIT program was composed of 10 minutes of warm-up, 30 minutes of interval aerobic exercise, and 10 minutes of cool down. The aerobic exercise based on their initial exercise tolerance test outcome consisted of 3-minute usual intensity phase (60-70% of heart rate/VO2 reserve) and 4-minute of high-intensity phase (70-90% of heart rate/VO2 reserve). Exercise capacity was measured by exercise tests before and after hospital- based CR. Before CR, elderly group had a significantly lower exercise capacity in Exercise time, peak VO2, METs, Anaerobic threshold, VEmax, 02pulse than younger group. Both group showed similar improvement of cardiopulmonary exercise capacity after CR. And HIIT is safe and effective in elderly patients. It is considered necessary to further expansion for the participation of high intensity interval training in elderly patients.

• Journal of Music and Human Behavior
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• v.15 no.2
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• pp.23-39
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• 2018

The purpose of this research was to investigate the effects of respiratory rehabilitation using a wind instrument for patients suffering from spinal cord injuries. From January 15, 2018 to April 15, 2018, we conducted ten 1-hour sessions of a harmonica program with eight patients with spinal cord injuries with average age of 37 years who could not perform abdominal breathing by themselves. We measured and compared patients' breathing capacity before and after the 10 sessions. Designed particularly for patients with spinal cord injuries resulting in a limited range of neck movement, the study used a 10-hole diatonic harmonica whose length was relatively short. For those patients who had difficulty using their hands, a harmonica holder was provided. Participants were trained to play simple tunes. They were guided to use abdominal breathing to make sounds, with emphasis on those parts requiring long and strong breathing. The results showed that for all eight patients both their breathing volume and their inspiratory volume increased following participation in the harmonica program. Also, the program had psychological benefits (e.g., more life satisfaction and less sadness) and additional physical benefits (e.g., less dizziness due to low blood pressure and better phlegm spitting). This study offers a unique way to help patients with spinal cord injuries to improve their breathing capacity, which may also be associated with a greater quality of life.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.115-125
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• 2020

Housing issues such as mushrooming slums remain as chronic in most developing countries. Due to the state's restrained capacity, the housing-vulnerable's self-help approaches have been increasingly inevitable and vital for addressing the housing issues. However, there are still two challenges: securing good quality with economic efficiency, and climate change mitigation and adaptation. This study aims at doing an architectural experiment by developing and educating the production of eco-friendly interlocking stabilized soil bricks (ISSB) by employing vernacular materials and technologies for housing-vulnerable communities in Indonesia. In collaboration with a local architectural NGO, the study features a co-creation workshop in which 40 evicted households participate in the whole process. Soil analysis, mixed design, compression tests, and economic analysis are carried out. This paper illustrates that ISSB also has a high potential as an alternative to a burned brick or a cement block. The application of ISSB to self-help housing is expected to have socioeconomic and environmental effects, thereby facilitating the housing-vulnerable's self-help approaches and contributing to addressing the housing challenges in Indonesia.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.393-400
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• 2020

The purpose of this study was to determine whether wrist stabilization exercise combined with taping would improve wrist pain, disability and quality of life in postpartum women with wrist pain. Seventeen wrist pain patients were recruited and were randomly divided into two groups: experimental group (n=8) and control group (n=9). Participants in both groups received taping therapy for 30 minutes before the intervention. Additionally, subject in the experimental group performed wrist stabilization exercise using theraband for 15 minutes (twice a day, five times a week for four weeks) while the control group conducted range of motion exercise for the same amount of time. VAS was used to assess pain level of wrist. Disability was measured using a DASH. Quality of life were measured by SF-36. The wrist pain in the experimental group improved significantly greater than the control group (p<0.05). Significant improvement in the disability was observed in the experimental group compared to the control group (p<0.05). The SF 36 in the experimental group improved significantly greater than the control group (p<0.05). Our findings indicate that wrist stabilization exercise combined with taping is beneficial and effective to improve wrist health and quality of life in postpartum women with wrist pain.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1512-1523
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• 2021

The purpose of this study was to investigate the effect of Saengmaeg-san intake on blood lipids and arteriosclerosis index in male tennis players. Seventeen male tennis players enrolled in university were assigned to a Saengmaeg-san intake group (n=9) and a placebo control group (n=8) according to whether they took Saengmaeg-san during 4-week high-intensity tennis training. Tennis training was conducted 5 times a week for 4 weeks, and the exercise intensity was performed at 70-90% of the spare heart rate. The intake of Saengmaeg-san was 110ml at a time before breakfast, before, during, during, and after exercise, and after dinner, a total of 7 times, 770ml per day. For all data, mean and standard deviation were used. Two-way repeated measures ANOVA was used to examine the effect of time and treatment, and Pearson's Correlation was used to examine the relevance of differences in blood lipid responses after treatment. As a result of this study, the Saengmaeg-san intake group significantly improved blood lipids (triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol) and arteriosclerosis index, and there was a significant correlation appeared between ∆TG, ∆LDL-C, and ∆TC. As a result, the intake of Saengmaeg-san during high-intensity training of male college student tennis players can have a positive effect on blood lipids and arteriosclerosis index, suggesting that it can be an effective sports drink as an exercise supplement.

• Therapeutic Science for Rehabilitation
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• v.12 no.2
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• pp.85-98
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• 2023

Objective : We investigated the efficacy of an artificial intelligence computerized cognitive training program using motion capture to identify changes in cognition, depression, and quality of life in older adults with mild cognitive impairment. Methods : A total of seven older adults (experimental group = 4, control group = 3) participated in this study. During the COVID-19 period from October to December 2021, we used a program, "MOOVE Brain", that we had developed. The experimental group performed the program 30 minutes 3×/week for 1 month. We analyzed patients scores from the Korean version of the Mini-Mental State Examination-2, the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet for Daily Life Evaluation, the short form Geriatric Depression Scale, and Geriatric Quality of Life Scale. Results : We observed positive changes in the mean scores of the Stroop Color Test (attention), Stroop Color/Word Test (executive function), SGDS-K (depression), and GQOL (QoL). However, these changes did not reach statistical significance for each variable. Conclusion : The study results from "MOOVE Brain" can help address cognitive and psychosocial issues in isolated patients with MCI during the COVID-19 pandemic or those unable to access in-person medical services.

• The Journal of Bigdata
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• v.7 no.2
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• pp.31-41
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• 2022

Steel is one of the most fundamental components to mechanical industry. However, the quality of products are greatly impacted by the surface defects in the steel. Thus, researchers pay attention to the need for surface defects detector and the deep learning methods are the current trend of object detector. There are still limitations and rooms for improvements, for example, related works focus on developing the models but don't take into account real-time application with practical implication on industrial settings. In this paper, a real-time application of steel surface defects detection based on YOLOv4 is proposed. Firstly, as the aim of this work to deploying model on real-time application, we studied related works on this field, particularly focusing on one-stage detector and YOLO algorithm, which is one of the most famous algorithm for real-time object detectors. Secondly, using pre-trained Yolov4-Darknet platform models and transfer learning, we trained and test on the hot rolled steel defects open-source dataset NEU-DET. In our study, we applied our application with 4 types of typical defects of a steel surface, namely patches, pitted surface, inclusion and scratches. Thirdly, we evaluated YOLOv4 trained model real-time performance to deploying our system with accuracy of 87.1 % mAP@0.5 and over 60 fps with GPU processing.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.7
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• pp.303-314
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• 2023

Voice conversion, a technology that allows an individual's speech data to be regenerated with the acoustic properties(tone, cadence, gender) of another, has countless applications in education, communication, and entertainment. This paper proposes an approach based on the StarGAN-VC model that generates realistic-sounding speech without requiring parallel utterances. To overcome the constraints of the existing StarGAN-VC model that utilizes one-hot vectors of original and target speaker information, this paper extracts feature vectors of target speakers using a pre-trained version of Rawnet3. This results in a latent space where voice conversion can be performed without direct speaker-to-speaker mappings, enabling an any-to-any structure. In addition to the loss terms used in the original StarGAN-VC model, Wasserstein distance is used as a loss term to ensure that generated voice segments match the acoustic properties of the target voice. Two Time-Scale Update Rule (TTUR) is also used to facilitate stable training. Experimental results show that the proposed method outperforms previous methods, including the StarGAN-VC network on which it was based.

• The Transactions of the Korea Information Processing Society
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• v.13 no.7
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• pp.326-334
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• 2024

Extra-oral imaging techniques such as Panoramic X-rays (PXs) and Cone Beam Computed Tomography (CBCT) are the most preferred imaging modalities in dental clinics owing to its patient convenience during imaging as well as their ability to visualize entire teeth information. PXs are preferred for routine clinical treatments and CBCTs for complex surgeries and implant treatments. However, PXs are limited by the lack of third dimensional spatial information whereas CBCTs inflict high radiation exposure to patient. When a PX is already available, it is beneficial to reconstruct the 3D oral structure from the PX to avoid further expenses and radiation dose. In this paper, we propose 3DentAI - an U-Net based deep learning framework for 3D reconstruction of oral structure from a PX image. Our framework consists of three module - a reconstruction module based on attention U-Net for estimating depth from a PX image, a realignment module for aligning the predicted flattened volume to the shape of jaw using a predefined focal trough and ray data, and lastly a refinement module based on 3D U-Net for interpolating the missing information to obtain a smooth representation of oral cavity. Synthetic PXs obtained from CBCT by ray tracing and rendering were used to train the networks without the need of paired PX and CBCT datasets. Our method, trained and tested on a diverse datasets of 600 patients, achieved superior performance to GAN-based models even with low computational complexity.