• 센서학회지
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• 제18권4호
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• pp.294-300
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• 2009

Cardiopulmonary resuscitation(CPR) is performed by artificial ventilation and thoracic compression for the patient under emergent situation to maintain at least the minimum level of respiration and blood circulation for life survival. Quality of the pre-hospital CPR not only significantly affects the patient's survival rate but also minimizes side effects caused by CPR. Good quality CPR requires monitoring respiration, however, traditional respiratory air flow transducers cannot be used because the transducer elements are located on the flow axis. The present study developed a new technique with no physical object on the flow stream but enabling the air flow measurement and easily incorporated with the CPR devices. A turbulence chamber was formed in the middle of the respiratory tube by locally enlarging the cross-sectional area where the flow related turbulence was generated inducing energy loss which was in turn converted into pressure difference. The turbulence chamber was simply an empty enlarged air space, thus no physical object was placed on the flow stream, but still the flow rate could be evaluated. Both inspiratory and expiratory flows were obtained with symmetric measurement characteristics. Quadratic curve fitting provided excellent calibration formula with a correlation coefficient>0.999 (P<0.0001) and the mean relative error<1 %. The present results can be usefully applied to accurately monitor the air flow rate during CPR.

• Journal of Radiation Protection and Research
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• 제47권1호
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• pp.8-15
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• 2022

Background: We developed a machine vision technology program that tracks patients' real-time breathing and automatically analyzes their breathing patterns. Materials and Methods: To evaluate its potential for clinical application, the image tracking performance and accuracy of the program were analyzed using a respiratory motion phantom. Changes in the stability and regularity of breathing were observed in healthy adult volunteers according to whether the breathing pattern mirrored the breathing guidance. Results and Discussion: Displacement within a few millimeters was observed in real-time with a clear resolution, and the image tracking ability was excellent. This result was consistent even in the sections where breathing patterns changed rapidly. In addition, the respiratory gating method that reflected the individual breathing patterns improved breathing stability and regularity in all volunteers. Conclusion: The findings of this study suggest that this technology can be used to set the appropriate window and the range of internal target volume by reflecting the patient's breathing pattern during radiotherapy planning. However, further studies in clinical populations are required to validate this technology.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 춘계학술발표대회
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• pp.561-563
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• 2015

본 논문은 깊이 카메라를 이용하여 수면중에 가슴의 움직임만으로 호흡률을 예측하는 시스템을 제안한다. 카메라는 취침하는 사람의 머리 위에 위치하였으며, 취침하는 사람의 가슴 주변을 관심 영역으로 지칭하여 깊이 값의 변화를 추출하여 노이즈를 제거한 후 FFT를 계산하여 호흡률을 계산하였다. 실행에서 10명의 지원자를 대상으로 0.1 Hz 부터 0.4 Hz까지 측정하여 약 98%의 정확률을 얻었다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.1101-1102
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• 2008

In this paper, we have developed PPG pillow system for unconstrained respiration monitoring during sleep. The system employs a pillow containing a PPG sensor and a simple respiration extraction algorithm. The results showed that the extracted respiratory rhythm was found to have close relations with the reference signal. The system has an advantage of processing simplicity. A follow-up study should be performed to evaluate the system in terms of breath intake.

• 센서학회지
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• 제28권1호
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• pp.7-12
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• 2019

Significant progress has been made recently in detection of highly sensitive volatile organic compounds (VOCs) using chemical sensors. Combined with the progress in design of micro sensors array and electronic nose systems, these advances enable new applications for detection of extremely low concentrations of breath-related VOCs. State of the art detection technology in turn enables commercial sensor systems for health care applications, with high detection sensitivity and small size, weight and power consumption characteristics. We have been developing an intelligent electronic nose system for detection of VOCs for healthcare breath analysis applications. This paper reviews our contribution to monitoring of respiratory diseases and to diabetic monitoring using an intelligent electronic nose system for detection of low concentration VOCs using breath analysis techniques.

• Tuberculosis and Respiratory Diseases
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• 제68권5호
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• pp.259-266
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• 2010

Background: Pulmonary tuberculosis (TB), requiring the intensive care unit (ICU) care, has been a high-mortality condition until now. In the present study, we aimed to investigate clinical features and parameters associated with TB mortality. Methods: From August 2003 to December 2008, patients with microbiologically or histologically confirmed pulmonary TB then admitted to the ICU, were retrospectively enrolled into the study. Upon enrollment, their medical records were reviewed. Results: Forty three patients (30 males, 13 females) were included and their mean age was 63.8 years (range: 17~87 years). Twelve patients died, an overall in-hospital mortality of 27.8%. The main reason for the ICU care was dyspnea or hypoxemia requiring mechanical ventilation (n=17). Other diagnoses for ICU care were hemoptysis, monitoring after procedures, neurologic dysfunction, shock, and gastrointestinal bleeding. On univariate analysis, the factors affecting the mortality were malnutrition-related parameters including low body mass index, hypoalbuminemia, lymphocytopenia, and hypocholersterolemia, as well as severity-related variables such as high acute physiology and chronic health evaluation (APACHE) score, number of involved lobes, and high C-reactive protein. In addition, respiratory failure requiring mechanical ventilation and acute respiratory distress syndrome contributed to patient fatality. It was shown on multivariate analysis that respiratory failure and hypoalbuminemia were significantly independent variables associated with the mortality. Conclusion: Acute respiratory failure is the most common reason for the ICU care and also the most important factor in predicting poor outcome. In addition, our data suggest that the parameters associated with malnutrition could be possible factors contributing to mortality.

• 한국농공학회논문집
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• 제62권1호
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• pp.105-115
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• 2020

With the decrease of the agricultural population in Korea, the workers who is vulnerable to labor are increasing in agricultural industry because of aging, feminization of population. They are exposed in poor working environment with higher temperature and concentrations of dust, gas. Higher concentration of harmful gas and dust can cause chronic and acute disease to workers depending on exposure intensity and frequency. In order to improve the working environment in the livestock facilities, It is important to secure monitoring data of the thermal environment and the concentration of harmful gases and fine dust. Multi-point measurement was performed to analyze the regional environmental conditions in the pig rooms. When analyzing the working environment, video monitoring was conducted to analyze the concentration changes of ammonia, hydrogen sulfide and fine dust according to worker movement and work type. Ammonia and hydrogen sulfide monitoring result showed 1.5~2 times higher concentrations than other work when working in the pigs living zone, and 2~4 times higher than other work when working to increase the activity of pigs. In the case of fine dust, the result was 1.3 times higher than the worker's exposure standard in a specific work. The concentrations of gases and dusts from pig farms are not of concern for acute poisoning in normal work, but there is a risk of chronic respiratory disease if they are continuously exposed. Accordingly, there is a need for development of work environment monitoring device tailored to workers and preparation of alternatives.

• Journal of Animal Science and Technology
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• 제66권1호
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• pp.31-56
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• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

• Tuberculosis and Respiratory Diseases
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• 제38권4호
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• pp.372-378
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• 1991

Some kinds of newer fluoroquinolone antibiotics are known to interact with theophylline, which is widely used as a potent bronchodilator in asthma or chronic obstructive lung disease. To evaluate the effect of enoxacin and ciprofloxacin on the metabolism of theophylline, aminophylline was administered intravenously in bolus (6 mg/kg) over 30 minutes to 6 healthy volunteers (age: $23.3{\pm}4.2$ year, body weight: $63.2{\pm}9.0\;kg$, height: $169.0{\pm}6.5\;cm$, female 3, male 3) before and after per oral 5-day medication of enoxacin and ciprofloxacin, respectively and we measured the level of theophylline in serum. The results were as follows: 1) Enoxacin and ciprofloxacin did not influence the volume of distribution significantly. 2) Enoxacin decreased the clearance of theophylline significantly (from $42.9{\pm}14.6\;ml/min$ to $30.1{\pm}6.3\;ml/min$: p<0.05), but ciprofloxacin did not cause significant decrease (to $32.8{\pm}6.2\;ml/min$: p>0.005). 3) Enoxacin increased the elimination half life of theophylline significantly (from $496{\pm}83\;min$ to $693{\pm}32\;min$: p<0.001), but ciprofloxacin did not cause significant increase (to $687{\pm}222\;min$: p>0.05). These results suggested that enoxacin influenced clearance and elimination half life significantly and thorough monitoring of the level of theophylline in patients with coadminstration of enoxacin and theophylline was necessary. In case of ciprofloxacin, the influence on the metabolism of theophylline was not statistically significant, but one exceptionally large decrease of the clearance and increase of the elimination halflife of theophylline suggested the necessity of monitoring of theophylline level during coadministration of ciprofloxacin and theophylline.

• Tuberculosis and Respiratory Diseases
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• 제78권2호
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• pp.78-84
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• 2015

Background: Reports of therapeutic drug monitoring (TDM) for second-line medications to treat multidrug-resistant tuberculosis (MDR-TB) remain limited. Methods: A retrospective cohort from the Virginia state tuberculosis (TB) registry, 2009-2014, was analyzed for TDM usage in MDR-TB. Drug concentrations, measured at time of estimated peak ($C_{max}$), were compared to expected ranges. Results: Of 10 patients with MDR-TB, 8 (80%) had TDM for at least one drug (maximum 6 drugs). Second-line drugs tested were cycloserine in seven patients (mean $C_{2hr}$, $16.6{\pm}10.2{\mu}g/mL$; 4 [57%] below expected range); moxifloxacin in five (mean $C_{2hr}$, $3.2{\pm}1.5{\mu}g/mL$; 1 [20%] below); capreomycin in five (mean $C_{2hr}$, $21.5{\pm}14.0{\mu}g/mL$; 3 [60%] below); para-aminosalicylic acid in five (mean $C_{6hr}$, $65.0{\pm}29.1{\mu}g/mL$; all within or above); linezolid in three (mean $C_{2hr}$, $11.4{\pm}4.1{\mu}g/mL$, 1 [33%] below); amikacin in two (mean $C_{2hr}$, $35.3{\pm}3.7{\mu}g/mL$; 1 [50%] below); ethionamide in one ($C_{2hr}$, $1.49{\mu}g/mL$, within expected). Two patients died: a 38-year-old woman with human immunodeficiency virus/acquired immune deficiency syndrome and TB meningitis without TDM, and a 76-year-old man with fluoroquinolone-resistant (pre-extensively drug-resistant) pulmonary TB and low linezolid and capreomycin concentrations. Conclusion: Individual pharmacokinetic variability was common. A more standardized approach to TDM for MDR-TB may limit over-testing and maximize therapeutic gain.