• Journal of Korean Academy of Nursing
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• v.31 no.3
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• pp.454-466
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• 2001

Purpose: The purpose of this study was to determine the effects of exercise program on cardiopulmonary functions and shoulder joint functioning in breast cancer patients who under- went radiation therapy after surgery. Method: Subjects in the experimental group(N=12) participated in an exercise program for eight weeks. The Exercise program consisted of shoulder stretching, arm weight training, and walking on treadmill. Maximal oxygen uptake (v2max), maximal running time, shoulder joint range of motion, and shoulder functional assessment were determined before and after the exercise program. Baseline sociodemographic and medical data were compared between experimental group and control group using the Fisher's exact test and Mann- Whitney U test. For effects of the exercise program, repeated measures ANOVA were used. Result: 1) Following the exercise program for eight weeks, both v$\alpha$ max and maximal running time tended to increase in experimental group comparing with the control group. 2) Shoulder abduction, extension and flexion of the operated upper extremity in the experimental group comparing with control significantly increased after the exercise program(p<0.05). 3) Shoulder flexion of the normal upper extremity in the experimental group comparing with control significantly increased after the exercise program(p<0.05). Conclusion: The results suggest that the exercise program for breast cancer patients undergoing radiation therapy after breast surgery can improve shoulder functions and increase cardiopulmonary functions, which are maximal oxygen uptake and maximal running time.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.22 no.1
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• pp.71-76
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• 2016

Background: The objective of this research is to provide base line data on Korea Baseball rehabilitation treatment by presenting the distribution of upper extremity surgeries according the surgical sites of Korean professional baseball players. Methods: The targets of this research are 561 players from nine Korean baseball clubs. The number of players that have undergone surgery was investigated. In other words, the frequency of shoulder joint surgeries, elbow joint surgeries, and wrist and hand surgeries per each baseball club was investigated. Results: The number of the players who have had surgeries was 151, but among the players, there were some who have had repeated surgeries for which the total number of surgery experience was 162. The result showed that elbow joint surgeries were the most frequently enacted, followed by shoulder joint surgeries, and wrist and hand surgeries. From the nine clubs, Samsung was the club with the highest frequency of surgeries. Conclusions: This research shows that Korean professional baseball players need special training centers with systematic rehabilitation programs. Another conclusion suggests that urgent need for rehabilitation program of upper arm which particularly focused on elbow joint is existing. On the basis of this research, we expect more studies on the specific rehabilitation programs which is categorized by injury areas.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.768-772
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• 2009

This paper proposes a method for measurement three-dimensional trajectories of bubbles generated around a swimmer's arms from stereo high-speed camera videos. This method is based on two techniques: two-dimensional trajectory estimation in single-camera images and trajectory pair matching in stereo-camera images. The two-dimensional trajectory is estimated by block matching using similarity of bubble shape and probability of bubble displacement. The trajectory matching is achieved by a consistensy test using epipolar constraint in multiple frames. The experimental results in two-dimensional trajectory estimation showed the estimation accuracy of 47% solely by the general optical flow estimation, whereas 71% taking the bubble displacement into consideration. This concludes bubble displacement is an efficient aspect in this estimation. In three-dimensional trajectory estimation, bubbles were visually captured moving along the flow generated by an arm; which means an efficient material for swimmers to swim faster.

• Safety and Health at Work
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• v.8 no.4
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• pp.393-397
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• 2017

Background: It has been suggested that engaging technology can empower individuals to be more proactive about their health and reduce their health risks. The aim of the present intervention was to study the effects of technology-aided testing and feedback on physical activity and biological age of employees in a middle-sized enterprise. Methods: In all, 121 employees (mean age $42{\pm}10$ years) participated in the 12-month three-arm cluster randomized trial. The fitness measurement process (Body Age) determined the participants' biological age in years. Physical activity was measured with the International Physical Activity Questionnaire Short Form. Results: Physical activity did not change during the intervention. Biological age (better fitness) improved in all groups statistically significantly (p < 0.001), but with no interaction effects. The mean changes (years) in the groups were -2.20 for the controls, e2.83 for the group receiving their biological age and feedback, and -2.31 for the group receiving their biological age, feedback, and a training computer. Conclusion: Technology-aided testing with feedback does not seem to change the amount of physical activity but may enhance physical fitness measured by biological age.

• PNF and Movement
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• v.3 no.1
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• pp.35-45
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• 2005

Objectives : The purpose of this study was to understanding the constraint induced movement and Self-efficacy with arm training on upper motor function in Stroke Patients. Methods : Stroke, the leading cause of functional disability, causes a variety of impairments that compromise quality of life. Upper limb hemiparesis, a commonly seen impairment, is particularly problematic given its impact on activities of daily living. Because stroke was a disease to correspond to the first during domestic cause of death, and was accompanied by a lot of side aftereffects after a survival, stroke rehabilitation bought a patient and a family and a physical therapist, and it was main concern of. Results : Looks into upper extremity excrise of a subacute stroke patient estranged a acute convalescence later by a rehabilitation treatment in this consideration, and evaluates an effect to wind up constraint induced movement for an early treatment of stroke and Self efficacy, and help is one to an early rehabilitation of an stroke patient. Conclusions : Overuse sound tends after the stroke occurrence in the early stage in order to recompense for stroke, and at the time of a new aspect called learned nonuse syndrome by a movement of a paralysis part dusting off wealth with this step thing later. Constraint induced movement using self efficacy could be an effective for improving function of stroke.

• The Journal of Korea Robotics Society
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• v.14 no.1
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• pp.31-39
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• 2019

A robot usually adopts ANN (artificial neural network)-based object detection and instance segmentation algorithms to recognize objects but creating datasets for these algorithms requires high labeling costs because the dataset should be manually labeled. In order to lower the labeling cost, a new scheme is proposed that can automatically generate a training images and label them for specific objects. This scheme uses an instance segmentation algorithm trained to give the masks of unknown objects, so that they can be obtained in a simple environment. The RGB images of objects can be obtained by using these masks, and it is necessary to label the classes of objects through a human supervision. After obtaining object images, they are synthesized with various background images to create new images. Labeling the synthesized images is performed automatically using the masks and previously input object classes. In addition, human intervention is further reduced by using the robot arm to collect object images. The experiments show that the performance of instance segmentation trained through the proposed method is equivalent to that of the real dataset and that the time required to generate the dataset can be significantly reduced.

• Journal of Integrative Natural Science
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• v.11 no.4
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• pp.167-183
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• 2018

Electroencephalogram (EEG) recording provides a new way to support human-machine communication. It gives us an opportunity to analyze the neuro-dynamics of human cognition. Machine learning is a powerful for the EEG classification. In addition, machine learning can compensate for high variability of EEG when analyzing data in real time. However, the optimal EEG electrode location must be prioritized in order to extract the most relevant features from brain wave data. In this paper, we propose an intelligent system model for the extraction of EEG data by training the optimal electrode location of EEG in a specific problem. The proposed system is basically a fuzzy system and uses a neural network structurally. The fuzzy clustering method is used to determine the optimal number of fuzzy rules using the features extracted from the EEG data. The parameters and weight values found in the process of determining the number of rules determined here must be tuned for optimization in the learning process. Genetic algorithms are used to obtain optimized parameters. We present useful results by using optimal rule numbers and non - symmetric membership function using EEG data for four movements with the right arm through various experiments.

• The Journal of Korea Robotics Society
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• v.16 no.1
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• pp.56-63
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• 2021

As the use of robots in service area increases, research has been conducted to replace human tasks in daily life with robots. Among them, this study focuses on the tidy-up task on a desk using a robot arm. The order in which tidy-up motions are carried out has a great impact on the success rate of the task. Therefore, in this study, a neural network-based method for determining the priority of the tidy-up motions from the input image is proposed. Reinforcement learning, which shows good performance in the sequential decision-making process, is used to train such a task planner. The training process is conducted in a virtual tidy-up environment that is configured the same as the actual tidy-up environment. To transfer the learning results in the virtual environment to the actual environment, the input image is preprocessed into a segmented image. In addition, the use of a neural network that excludes unnecessary tidy-up motions from the priority during the tidy-up operation increases the success rate of the task planner. Experiments were conducted in the real world to verify the proposed task planning method.

• Journal of Trauma and Injury
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• v.37 no.1
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• pp.1-5
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• 2024

The aim of this paper was to review the biomechanics of knife injuries, including those that occur during stabbing rampages. In knife stab attacks, axial force and energy were found to be 1,885 N and 69 J, respectively. The mean velocity of a stabbing motion has been reported to range from 5 to 10 m/sec, with knife motions occurring between 0.62 and 1.07 seconds. This speed appears to surpass the defensive capabilities of unarmed, ordinarily trained law enforcement officers. Therefore, it is advisable to maintain a minimum distance of more than an arm's length from an individual visibly armed with a knife. In training for knife defense, particularly in preparation for close-quarter knife attacks, this timing should be kept in mind. Self-inflicted stab wounds exhibited a higher proportion of wounds to the neck and abdomen than assault wounds. Injuries from assault wounds presented a higher Injury Severity Score, but more procedures were performed on self-inflicted stab wounds. Wound characteristics are not different between nonsuicidal self-injury and suicidal self-wrist cutting injuries. Consequently, trauma surgeons cannot determine a patient's suicidal intent based solely on the characteristics of the wound. In Korea, percent of usage of lethal weapon is increasing. In violence as well as murders, the most frequently used weapon is knife. In the crimes using knife, 4.8% of victims are killed. Therefore, the provision of prehospital care by an emergency medical technician is crucial.

• The Journal of Korean society of community based occupational therapy
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• v.10 no.1
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• pp.51-61
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• 2020

Objectives : The purpose of this study is to investigate the effect of object size and reaching distance on kinematic factors of the upper limb while performing arm reaching for normal subjects. Methods : The subjects of this study were 30 university students who were in D university in Busan, and the measuring tool was CMS-70P(Zebris Medizintechnik Gmbh, Germany), a three-dimensional motion analyzer. The task had six conditions. The average velocity of motion, average acceleration, maximum velocity, and the velocity definite number of movements were measured according to changes in object size(2cm, 10cm) and reaching distance(15%, 37.5%, 60%) when they performed arm reaching. The general characteristics of the subject were technical statistics. One-way ANOVA measurement was used to compare variables when the arm reaching task was performed from two object sizes to three reaching distance, and the post-test was conducted with Tukey test. In addition, an independent t-test was used to analyze the kinematic differences according to the two object sizes at three reaching distances. A two-way ANOVA measurement (3×2 Two-way ANOVA measurement) was performed to identify the interaction of the reaching distance(15%, 37.5%, 60%) and the object size(2cm, 10cm). The statistical significance level α was set to .05. Results : When the size of the object increased, the velocity and maximum velocity also increased, but the definite number of velocity decreased. When the reaching distance increased, the velocity and maximum velocity increased, whereas the definite number of velocity decreased. Conclusion : The clinical significance of this study could be utilized as the baseline data for grading object size and reaching distances when the reaching training is implemented for patients whose central nervous system was damaged.