• Social Workers
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• no.5 s.49
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• pp.32-34
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• 2006

이번에 도입되는 정책모니터 제도는 한마디로, 주요 복지정책들의 품질을 높이고 국민만족도를 제고하기 위해 국민과 함께 호흡하고 대화하는 의사소통 체제라고 할 수 있다. 열린 보건복지 행정의 기틀을 다진다는 뜻에서 보건복지정책모니터 제도는 매우 의의가 있다.

• Radiation Oncology Journal
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• v.26 no.3
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• pp.181-188
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• 2008

Purpose: In order to enhance the efficiency of respiratory gated 4-dimensional radiation therapy for more regular and stable respiratory period and amplitude, a respiration training system was designed, and its efficacy was evaluated. Materials and Methods: The experiment was designed to measure the difference in respiration regularity following the use of a training system. A total of 11 subjects (9 volunteers and 2 patients) were included in the experiments. Three different breathing signals, including free breathing (free-breathing), guided breathing that followed training software (guided-breathing), and free breathing after the guided-breathing (post guided-breathing), were consecutively recorded in each subject. The peak-to-peak (PTP) period of the breathing signal, standard deviation (SD), peak-amplitude and its SD, area of the one cycle of the breathing wave form, and its root mean square (RMS) were measured and computed. Results: The temporal regularity was significantly improved in guided-breathing since the SD of breathing period reduced (free-breathing 0.568 vs guided-breathing 0.344, p=0.0013). The SD of the breathing period representing the post guided-breathing was also reduced, but the difference was not statistically significant (free-breathing 0.568 vs. guided-breathing 0.512, p=ns). Also the SD of measured amplitude was reduced in guided-breathing (free-breathing 1.317 vs. guided-breathing 1.068, p=0.187), although not significant. This indicated that the tidal volume for each breath was kept more even in guided-breathing compared to free-breathing. There was no change in breathing pattern between free-breathing and guided-breathing. The average area of breathing wave form and its RMS in postguided-breathing, however, was reduced by 7% and 5.9%, respectively. Conclusion: The guided-breathing was more stable and regular than the other forms of breathing data. Therefore, the developed respiratory training system was effective in improving the temporal regularity and maintaining a more even tidal volume.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.791-792
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• 2011

폐쇄성 수면 무호흡증 환자 중 가장 위험한 2~8세 아동들의 지속적인 수면 상태를 모니터링하는 것은 중요하며, 야간에 수면 상태를 모니터링 하는 것은 보호자에게 스트레스와 일상생활에 지장을 초래할 수 있다. 본 연구에서는 아동들의 수면 상태를 측정하기 위한 스마트폰 기반의 실시간 호흡 모니터링 시스템을 구현하였다. 구현된 시스템은 아동의 수면 중 자세 변화로 인한 잦은 폐쇄성 수면 무호흡을 지속적으로 모니터링 함으로써 수면 상태 모니터링 및 위험 상황을 인지할 수 있으며, 보호자에게 편안한 수면을 제공한다.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2005.04a
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• pp.16-21
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• 2005

방사선치료를 하는데 호흡을 다루는 문제는 매우 중요하다. 호흡으로 인한 인체의 움직임은 종양, 정상조직의 위치 등을 변화시킴으로써 표적체적 설정을 다루는 ICRU definition에 영향을 미칠 뿐만 아니라 일반적인 방사선치료의 단계별 과정에 큰 영향을 끼친다. 본 연제에서는 방사선치료의 과정 중 호흡을 고려한 영상획득, 방사선치료계획, 정도보증 등 주로 의학 물리적 관점에서 세부적으로 다루어야 할 문제들은 논외로 하고, 환자의 호흡을 모니터하고 다루어 호흡에 따른 맞춤치료를 하는 방법들을 개관해 보고자 한다. 또한, 호흡을 다루는 각각의 방법에 따른 임상적 고려사항들에 대해서도 언급하고자 한다. 각각의 기관에서 호흡을 고려한 고정밀 방사선치료를 시행하는데 있어 적절한 전략 및 프로토콜을 세우고, 이를 환자를 대상으로 정확하게 수행하기 위해서는 호흡이 방사선치료 전반에 미치는 영향을 각각의 단계별로 정확하게 이해하는 것이 선행되어야 할 것이다.

• Progress in Medical Physics
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• v.23 no.1
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• pp.1-7
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• 2012

The purpose of this study was to develop the respiratory training system using individual characteristic guiding waveform to reduce the impact of respiratory motion that causes artifact in radiotherapy. In order to evaluate the improvement of respiratory regularity, 5 volunteers were included and their respiratory signals were acquired using the in-house developed belt-type sensor. Respiratory training system needs 10 free breathing cycles of each volunteer to make individual characteristic guiding waveform based on Fourier series and it guides patient's next breathing. For each volunteer, free breathing and guided breathing which uses individual characteristic guiding waveform were performed to acquire the respiratory cycles for 3 min. The root mean square error (RMSE) was computed to analyze improvement of respiratory regularity in period and displacement. It was found that respiratory regularity was improved by using respiratory training system. RMSE of guided breathing decreased up to 40% in displacement and 76% in period compared with free breathing. In conclusion, since the guiding waveform was easy to follow for the volunteers, the respiratory regularity was significantly improved by using in-house developed respiratory training system. So it would be helpful to improve accuracy and efficiency during 4D-RT, 4D-CT.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.153-159
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• 2019

Respiration is one of the important vital signs to determine the condition of the patient. Especially during deep sedation, since the patient's apnea and hypopnea are difficult to detect without continuous monitoring, there is a need for a continuous respiration monitoring method that can accurately and simply determine the patient's respiratory condition. Currently, respiration monitoring methods using various devices have been developed, but these methods have not only late response time but also low reliability at the clinical stage. In this study, attachable sensor using PVDF(polyvinylidene fluoride) film and a monitoring device which could detect abnormal symptoms of breathing in early stage during deep sedation. The results of this study can be used in various medical fields including not only in the area of remote monitoring for respiration related sleep monitoring but also in routine monitoring during deep sedation.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.3
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• pp.491-498
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• 2022

In our daily life, quality of sleeping is closely related to happiness index. Whether or not people perceive sleep disturbance as a chronic disease, people complain of many difficulties, and in their daily life, they often experience difficulty breathing during sleep. It is very important to automatically recognize breathing-related disorders during a sleep, but it is very difficult in reality. To solve this problem, this paper proposes a mobile-based non-contact sleeping monitoring for health management at home. Respiratory signals during the sleep are collected by using the sound sensor of the smartphone, the characteristics of the signals are extracted, and the frequency, amplitude, respiration rate, and pattern of respiration are analyzed. Although mobile health does not solve all problems, it aims at early detection and continuous management of individual health conditions, and shows the possibility of monitoring physiological data such as respiration during the sleep without additional sensors with a smartphone in the bedroom of an ordinary home.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.1004-1005
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• 2013

본 연구에서는 폐쇄성 수면 무호흡증 환자를 대상으로 착용의 불편함을 최소화하고 수면 중 지속적인 모니터링이 가능한 안대형 폐쇄성 수면 무호흡증 검출시스템을 구현하였다. 이를 위하여 숙면을 돕기 위해서 착용하는 안대의 코 부근에 온도센서를 부착하여 실제 호흡에 따른 온도 변화를 감지하였다. 폐쇄성 수면 무호흡증 환자의 경우 수면 중 불안정한 호흡이 온도의 변화로 반영되기 때문에 이를 검출하기 위함이다. 또한 검출된 온도 변화는 안대에 내장된 제어부 및 블루투스 모듈을 통해 스마트폰으로 전송되어진다. 전송된 데이터는 안드로이드 기반의 어플리케이션을 구현하여 실시간으로 모니터링이 가능하며, 구현된 어플리케이션은 위험상황 인지 및 알림, 일월별 관리 기능을 포함하고 있다. 구현된 시스템의 성능 평가를 위하여 대학생 5명을 대상으로 임의의 호흡 변화에 대한 실험 프로토콜을 작성하여 실험을 수행하였으며, 그 결과 호흡을 중단하였을 시 온도 변화를 통해 검출이 가능함을 확인하였다.

• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.89-100
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• 2019

Sleep apnea, a medical condition associated with a variety of complications, is generally monitored by standard sleep polysomnography, which is expensive and uncomfortable. To overcome these limitations, this study proposes an unconstrained wearable monitoring system with stretch-fiber sensors that integrate with the wearer's clothing. The system allows patients to undergo examinations in a familiar environment while minimizing the occurrence of skin allergies caused by adhesive tools. As smart clothing for adult males with sleep apnea, long-sleeved T-shirts embedding fibrous sensors were developed, enabling real-time monitoring of the patients' breathing rate, oxygen saturation, and airflow as sleep apnea diagnostic indicators. The gauge factor was measured as 20.3 in sample 4. The maximum breathing intake, measured during three large breaths, was 2048 ml. the oxygen saturation was measured before and during breath-holding. The oxygen saturation change was 69.45%, showing a minimum measurable oxygen saturation of 70%. After washing the garment, the gauge factor reduced only to 18.0, confirming the durability of the proposed system. The wearable sleep apnea monitoring smart clothes are readily available in the home and can measure three indicators of sleep apnea: respiration rate, breathing flow and oxygen saturation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.7-13
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• 2020

This paper focuses on detecting abnormal patterns of respiration of humans. In this study, a contact-based device was used to acquire both normal and abnormal respiration signals. To this end, this paper reports the development of a monitoring system to investigate the respiratory status of humans in a normal environment. This work aims to classify the respiratory status, i.e., normal and abnormal status, quantitatively. The respiration signal is acquired using a contact-based medical device (BIOBPAC), and noise reduction is carried out before classifying the respiratory status. To reduce noise, a mixed filter that combines the Savitzky-Golay filter and Median filter is applied to the acquired respiration signals. The inter-class distance is maximized, and the intra-class distance is minimized. The proposed algorithm is straightforward and can be applied to a practical environment. In addition, the experimental results are provided to substantiate the proposed approach.