• Journal of Biomedical Engineering Research
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• v.44 no.6
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• pp.363-376
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• 2023

According to the COVID-19, development of various medical software based on IoT(Internet of Things) was accelerated. Especially, interest in a central software system that can remotely monitor and control ventilators is increasing to solve problems related to the continuous increase in severe COVID-19 patients. Since medical device software is closely related to human life, this study aims to develop central monitoring system that can remotely monitor and control multiple ventilators in compliance with medical device software development standards and to verify performance of system. In addition, to ensure the safety and reliability of this central monitoring system, this study also specifies risk management requirements that can identify hazardous situations and evaluate potential hazards and confirms the implementation of cybersecurity to protect against potential cyber threats, which can have serious consequences for patient safety. As a result, we obtained medical device software manufacturing certificates from MFDS(Ministry of Food and Drug Safety) through technical documents about performance verification, risk management and cybersecurity application.The purpose of this study is to conduct a usability assessment to ensure that ergonomic design has been applied so that the ventilator central monitoring system can improve user satisfaction, efficiency, and safety. The rapid spread of COVID-19, which began in 2019, caused significant damage global medical system. In this situation, the need for a system to monitor multiple patients with ventilators was highlighted as a solution for various problems. Since medical device software is closely related to human life, ensuring their safety and satisfaction is important before their actual deployment in the field. In this study, a total of 21 participants consisting of respiratory staffs conducted usability test according to the use scenarios in the simulated use environment. Nine use scenarios were conducted to derive an average task success rate and opinions on user interface were collected through five-point Likert scale satisfaction evaluation and questionnaire. Participants conducted a total of nine use scenario tasks with an average success rate of 93% and five-point Likert scale satisfaction survey showed a high satisfaction result of 4.7 points on average. Users evaluated that the device would be useful for effectively managing multiple patients with ventilators. However, improvements are required for interfaces associated with task that do not exceed the threshold for task success rate. In addition, even medical devices with sufficient safety and efficiency cannot guarantee absolute safety, so it is suggested to continuously evaluate user feedback even after introducing them to the actual site.

• Proceedings of the SAREK Conference
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• 2006.11a
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• pp.26-26
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• 2006

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.04a
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• pp.310-311
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• 2009

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.17 no.5
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• pp.496-504
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• 2005

Heat recovery ventilators (HRV) are developed in order to satisfy both energy conservation and the improvement of indoor air quality as an alternative for current natural ventilation systems and local mechanical ventilation systems in kitchens and bathrooms. However, the performance of HRV system and the consequent effect on heating and cooling energy saving have not been sufficiently validated quantitatively in case of the application of HRVs in real residences. In this study, field measurement and computer simulation were conducted in both summer and winter period to assess the performance and validate energy conservation effect of HRVs. Under the Korea weather condition, average total heat recovery efficiency was $27\%$ in summer and $46\%$ in winter. According to the field measurement, HRV system can save the energy by $10\%$ in summer and 15$\%$ in winter. Furthermore, according to the simulation assessment, HRV system can save the energy by $17\%$ in summer and $17\%$ in winter.

• 한국전산유체공학회:학술대회논문집
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• 2008.03b
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• pp.705-706
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• 2008

When heat generated inside a large factory building is not discharged due to a stagnant flow, the working environment of workers becomes worse and the cooling of high-temperature products such as hot-rolling coils is delayed. To investigate the natural ventilation inside a large factory building, experimental studies were carried out using wind-tunnel tests. The scale-down factory building models were placed in an atmospheric boundary layer (ABL) and the mean and fluctuating velocity fields were measured using a particle image velocimetry (PIV) technique. For the prototype factory model, the outdoor air is only entrained into the factory building through the one-third open windward wall, and stagnant flow is formed in the rear part of the target area. In order to improve the indoor ventilation environment of the factory building, three different louver-type ventilators were attached at the upper one-third open windward wall of the factory model. Among the three louver ventilators tested in this study, the ventilator model #3 with the outer louver (${\theta}_o$ = 90$^{\circ}$) and the inner louver (${\theta}_i$ = -70$^{\circ}$) was found to improve the natural ventilation inside the factory building model effectively. The flow rate of the entrained air was increased with aligning the outer louver blades with the oncoming wind and guiding the entrained air down to the ground surface with elongated inner louver blades.

• Journal of Biomedical Engineering Research
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• v.44 no.1
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• pp.19-24
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• 2023

Due to the spread of COVID-19, many patients with severe respiratory diseases have occurred worldwide, and accordingly, the use of mechanical ventilators has exploded. However, hospitals do not have systematic risk management, and the Medical Device Regulation also provides medical device risk management standards for manufacturers, but does not apply to devices in use. In this paper, we applied the Failure Mode Effects Analysis (FMEA) risk analysis technique based on the International Standard ISO 14971 (Medical Devices-Application of risk management to medical devices) for 85 mechanical ventilators of a specific model in use in hospitals. Failure modes and effects of each parts were investigated, and risk priority was derived through multiplication of each score by preparing criteria for severity, occurrence, and detection for each failure mode. As a result, it was confirmed that the microprocessor-based Patient Unit/Monitoring board in charge of monitoring scored the highest score with 36 points, and that reliability management is possible through systematic risk management according to priority.

• Neonatal Medicine
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• v.17 no.1
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• pp.1-12
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• 2010

Graphic monitoring assists the clinician at the bedside in several ways. It can be helpful in fine-tuning or adjusting ventilator parameters. Graphic monitoring may help to determine the patient's response to pharmacologic agents. The clinician also has the ability to trend monitored events over a prolonged period of time. The neonatal patient's self respiration, synchrony to ventilator and respiratory efforts can be well recognized with graphic monitoring. Of all, it may enable detection of complications before they become clinically apparent. This article introduces the basics of real-time graphics.

• Journal of Korean Critical Care Nursing
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• v.5 no.1
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• pp.56-66
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• 2012

Purpose: The purpose of this study was to investigate the knowledge and educational needs of nurses and physicians on home ventilator. Methods: The participants were 140 nurses and 47 physicians working at departments using home ventilators. The data were collected from January 30 to February 12, 2012 through a self-administered questionnaire with 32 items of the knowledge and educational needs on home ventilator. Results: The mean scores of nurses' and physicians' knowledge were 2.52 and 2.56 respectively. The mean scores of nurses' and physicians' educational needs were 3.16 and 3.06 respectively. Nurses' knowledge was associated with their experience using and receiving education about home ventilator and willingness to receive education about home ventilator education. Nurses' educational needs were associated with their present working department and experience using home ventilator. Nurses with high knowledge were more likely to have high educational needs. Physicians' knowledge and educational needs were not associated with any their general characteristics. Conclusion: Nurses' and physicians' knowledge of home ventilator were low and their educational needs on home ventilator were high. To provide high quality of care for home ventilators, it is necessary to provide nurses and physicians with education and to develop a more specific educational program for them.

• Journal of Bio-Environment Control
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• v.23 no.3
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• pp.181-191
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• 2014

Modern commercial greenhouse requires the use of advanced climate control system to improve crop production and to reduce energy consumption. As an alternative to classical sensor-based control method, this paper introduces a model-based control method that consists of two models: the predictive model and the evaluation model. As a first step, this paper presents straightforward models to predict the effect of natural ventilation in a greenhouse according to meteorological factors, such as outdoor air temperature, soil temperature, solar radiation and mean wind speed, and structural factor, opening rate of roof ventilators. A multiple regression analysis was conducted to develop the predictive models on the basis of data obtained by computational fluid dynamics (CFD) simulations. The output of the models are air temperature drops due to ventilation at 9 sub-volumes in the greenhouse and individual volumetric ventilation rate through 6 roof ventilators, and showed a good agreement with the CFD-computed results. The resulting predictive models have an advantage of ensuring quick and reasonable predictions and thereby can be used as a part of a real-time model-based control system for a naturally ventilated greenhouse to predict the implications of alternative control operation.

• Journal of Korean Clinical Nursing Research
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• v.14 no.3
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• pp.73-85
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• 2008

Purpose: To examine effects of application of bronchodilators after endotracheal suction on peak air way pressure (PAP), lung compliance (Cdyn), oxygen saturation ($SpO_2$), heart rate (HR), blood pressure (BP), and respiration rate (RR) in cardiac surgery patients. Method: Data were collected from October 2007 to March 2008. Participants were patients who were treated with bronchodilators through mechanical ventilators in the SICU. At each suctioning, bronchodilators were applied immediately, and at 5, 10, and 15 minutes after suctioning. Besides PAP, Cdyn, $SpO_2$, HR, BP, RR, data on the frequency of side effects were also collected at 15, 30, 60 minutes after nebulization. Data were analyzed using the SAS program. Results: For application of bronchodilator right after suctioning and after, 5, 10 and 15 minutes, PAP and Cdyn did not show any significant differences although PAP was persistently decreased for 15 to 30 minutes and Cdyn increased at 15 minutes and decreased gradually after nebulization. Besides $SpO_2$, HR, BP, and RR, frequency of side effects did not show any significant difference. Conclusion: Bronchodilators can be applied at any time. However, the positive effects of bronchodilation right after suctioning on PAP and Cdyn, as also shown in previous reports, indicate it is a more efficient clinical process to maintain an adequate airway.