• Title/Summary/Keyword: artificial lung

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A Study on the Characteristics of Mass Transfer in Hollow Fiber Membranes (중공사막에서의 물질전달 특성에 관한 연구)

  • 김기범;김종석;김종수;유일수;이왕로;김성종
    • Membrane Journal
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    • v.14 no.2
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    • pp.142-148
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    • 2004
  • This paper presents the enhancement of oxygen transfer efficiency using vibrating intravascular lung assist device (VIVLAD) for patients having chronic respiratory problems. The flow rate was controlled by the pump and monitored by a built-in flow meter. The vibration apparatus was composed of a piezo-actuator, a function generator, and a power amplifier. Gas flow rates of up to 6 L/min through the 120-cm-long hollow fibers have been achieved by exciting a piezo-actuator. The output PVDF sensor and FRF (frequency response function) were investigated by various frequency in VIVLAD. As a result, the maximum oxygen transfer rate was found to occur with maximum amplitude and the transfer of vibration to the hollow fiber membranes. It was excited by the frequency band of 35 Hz at various distilled water flow rates, and various module types.

Predicting idiopathic pulmonary fibrosis (IPF) disease in patients using machine approaches

  • Ali, Sikandar;Hussain, Ali;Kim, Hee-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.144-146
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    • 2021
  • Idiopathic pulmonary fibrosis (IPF) is one of the most dreadful lung diseases which effects the performance of the lung unpredictably. There is no any authentic natural history discovered yet pertaining to this disease and it has been very difficult for the physicians to diagnosis this disease. With the advent of Artificial intelligent and its related technologies this task has become a little bit easier. The aim of this paper is to develop and to explore the machine learning models for the prediction and diagnosis of this mysterious disease. For our study, we got IPF dataset from Haeundae Paik hospital consisting of 2425 patients. This dataset consists of 502 features. We applied different data preprocessing techniques for data cleaning while making the data fit for the machine learning implementation. After the preprocessing of the data, 18 features were selected for the experiment. In our experiment, we used different machine learning classifiers i.e., Multilayer perceptron (MLP), Support vector machine (SVM), and Random forest (RF). we compared the performance of each classifier. The experimental results showed that MLP outperformed all other compared models with 91.24% accuracy.

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Changes in Physiological Responses by the Pressure of Non-Elastic Corset (비신축성 코르셋의 의복압으로 인한 생리적 반응의 변화)

  • Na, Young-Joo;Kim, Yang-Hee
    • Fashion & Textile Research Journal
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    • v.13 no.6
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    • pp.943-951
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    • 2011
  • The purpose of this study is to analyze the physiological effects of non-elastic corset on women's health and pain through measuring the clothing pressure, subjective pressure sensation, blood velocity and metabolism. 5 women in their twenties were picked as our subjects, their average size being 85cm at bust girth, 69 cm at waist girth. With the subjects each wearing a corset, we are testing in artificial environment with a treadmill according to the planned exercise procedures. The average pressure of the corset is 0.938 kPa (maximum 3.006 kPa at 45 degree front bowing), which is 10.2 times higher than the control group, averaging from 9.3 times higher at resting, 11.4 times at walking, 11.1 times at running. The effect of corset pressure on the physiological responses of the body is increased more when exercise than when resting. Clothing pressure increased in the order of the postures: sitting > standing with 45 degree bowing > standing. They experienced a high level of tighten discomfort of 5.6 in the scale of 1.0 to 7.0 due to the high pressure of the corset when resting, after intense exercise the level increased to 6.0, while without corset the level increased 1.7 to 2.2. With corset on, the blood circulation did not increase even though when the body exercised and blood flow became unbalanced making great gaps between both at the right and left finger tips. Perspiration of chest and back decreased 37.3% when wearing corset; 27.5% at resting, 56.7% at walking, 25.8% at running, and 39.0% at recovery. With corset on oxygen consume and metabolism increased 9.0%, 7.9%, respectively, which means the corset makes the body uncomfortable. Lung volume exchange VE decreased almost 4.1~7.3% with corset on and $VCO_2/VO_2$, RER and total volume in lung, VT also decreased too, which means the digestion of stomach and lung function are inhibited due to the high corset pressure.

Instability in in vitro fruiting of Cordyceps militaris (In vitro에서 큰번데기 동충하초 자실체형성의 불안정성)

  • Shrestha, Bhushan;Park, Young-Jin;Han, Sang-Kuk;Choi, Sung-Keun;Sung, Jae-Mo
    • Journal of Mushroom
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    • v.2 no.3
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    • pp.140-144
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    • 2004
  • Traditionally, Cordyceps species have been used as a part of herbal medicine in Oriental countries, including Korea for internal health, vigor and to cure different diseases related to heart, lung etc. In recent years, research on artificial fruiting of some species of the genus Cordyceps including C. militaris has been carried out extensively because of their medicinal value. Instability observed in the in vitro fruiting of C. militaris is reported in the present study.

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The Effect of Chelators and Reductants on the Mobilization of Metals from Ambient Particulate Matter: More Transition Metals are Mobilized with PM2.5 than with PM10

  • Song, H-S;Chang, W-C;Bang, W-G;Kim, Y-S;Chung, N
    • Proceedings of the Korea Society of Environmental Toocicology Conference
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    • 2002.10a
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    • pp.155-155
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    • 2002
  • Ambient urban particulate matters contain various transition metals. When the particulate matters are inhaled into the lung, not all but some part of metals from the particles might be mobilized to participate in a reaction that can damage various biomolecules, such as DNA and proteins. The dust particle size as well as organic acids may influence the metal mobilization. Thus, the mobilization of the metal from SRM1648 (NIST, USA) and urban particulate matters (PM2.5 and PM10) was measured in the presence of artificial or biological chelator with or without reductant. The degree of the mobilization was higher with the artificial or biological chelator than the control with saline. In some cases, a reductant increased the mobilization as much as about 5 times the control without the reductant. Especially, the mobilization of Fe was greatly influenced by the presence of reductants. In general, the degree of the mobilization of the transition metal was higher with PM2.5 than with PM10. Therefore, it is expected that, considering the previously known toxicities of the transition metals, the PM2.5 is more damaging to various biomolecules than PM10. The results also suggest that not the total amount but the mobilizable fraction of the metal in the dust particles should be considered with regard to the toxicity of the urban particulate matters.

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Review of Lung Cancer Survival Analysis with Multimodal Data (다중 모드 데이터를 사용한 폐암 생존분석 검토)

  • Choi, Chul-woong;Kim, Hyeon-Ji;Shim, Eun-Seok;Im, A-yeon;Lee, Yun-Jun;Jeong, Seon-Ju;Kim, Kyung-baek
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.784-787
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    • 2020
  • 폐암 환자의 생존율을 예측할 때 미국암연합회(AJCC)의 TNM병기 분류체계에 의해 진단되는 최종병기를 많이 사용한다. 최종병기는 폐암환자의 임상데이터 중 하나로 종양의 위치, 크기, 전이정도를 고려하여 환자의 폐암 상태를 판별하는 정보이다. 최종병기는 개략적인 환자의 상황을 설명하는 데 효과적이지만, 보다 구체적인 생존분석을 위해서는 임상데이터 뿐만 아니라 PET/CT와 같은 영상 데이터를 함께 분석해야 한다. 이 논문에서는 데이터 과학적 접근을 통해 폐암환자의 임상데이터, CT영상과 PET영상 등 다양한 종류의 데이터를 함께 활용하는 생존분석기법을 검토한다. 실험을 통해 다중 모드 데이터를 활용하는 생존분석을 위해 비선형모델 개발과 Feature임베딩 기법 고도화가 필요함을 확인하였다.

Detecting Foreign Objects in Chest X-Ray Images using Artificial Intelligence (인공 지능을 이용한 흉부 엑스레이 이미지에서의 이물질 검출)

  • Chang-Hwa Han
    • Journal of the Korean Society of Radiology
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    • v.17 no.6
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    • pp.873-879
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    • 2023
  • This study explored the use of artificial intelligence(AI) to detect foreign bodies in chest X-ray images. Medical imaging, especially chest X-rays, plays a crucial role in diagnosing diseases such as pneumonia and lung cancer. With the increase in imaging tests, AI has become an important tool for efficient and fast diagnosis. However, images can contain foreign objects, including everyday jewelry like buttons and bra wires, which can interfere with accurate readings. In this study, we developed an AI algorithm that accurately identifies these foreign objects and processed the National Institutes of Health chest X-ray dataset based on the YOLOv8 model. The results showed high detection performance with accuracy, precision, recall, and F1-score all close to 0.91. Despite the excellent performance of AI, the study solved the problem that foreign objects in the image can distort the reading results, emphasizing the innovative role of AI in radiology and its reliability based on accuracy, which is essential for clinical implementation.

Electrical Modelling of Nonlinear Blood-Gas Reaction (비선형 폐 가스 결합특성의 전기적 모델화)

  • 이준탁;정형환
    • Progress in Medical Physics
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    • v.2 no.2
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    • pp.175-182
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    • 1991
  • A newly derived O$_2$ Saturation Model which can be adapted to the design and study of Artificial Lung and Blood Gas Calculator etc. is introduced on the basis of Electrical Equivalent Circuits. The presented 4 stage and 2 stage RC circuits have good correlatons with actual chemical reactions of Hemoglobin and Oxygen. However, from results of computer simulations, 2 stage equivalent model is more accurate than 4 stage and conventional O$_2$ saturation models.

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Aspergillus Infection in Large Thrombus of a Permanent Ventricular Pacing Lead (영구 인공심박동기 심실전극의 거대혈전에 발생한 국균증)

  • Kim, Chi-Gyeong;Jo, Gyu-Do;Yun, Jeong-Seop;Kim, Jin-Ho
    • Journal of Chest Surgery
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    • v.30 no.10
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    • pp.1032-1035
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    • 1997
  • Fungal infection of intracardiac pacing wire is very rare. We experienced a case of patient with functioning transvenous pacemaker lead, inserted 3 years previously, which was completely encased in a large thrombus infected with aspergillus. The lung biopsy also confirmed aspergillus infection.

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Surgical Repair of Atrial Septal Defect Using Extracorporeal Circulation: One Case Report (심폐기를 이용한 심방중격결손의 외과적 교정: 1례 보고)

  • 이동준
    • Journal of Chest Surgery
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    • v.10 no.1
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    • pp.143-147
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    • 1977
  • Atrial septal defect is the most common of the congenital heart disease in the adult. Since the first description of atrial septal defect by Rokitansky in 1857, this anomaly has been studied by many workers in past one century. In 1953, Lewis had first corrected the atrial septal defect under direct vision with deep hypothermia, and Gibbon [1954] had first done the atrial septal defect under direct vision with extracorporeal circulation. In our college [May 2’ 1977], we have first repaired the A.S.D. under direct vision with artificial heart-lung machine and, the defect was 4x5cm in size which was closed by Dacron patch. This patient was 12 year old girl who is well now. [postoperative 13 days]

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