• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.2B
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• pp.232-243
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• 2010

In this paper, various physiological signals of humans were measured and analyzed to inference their psychological state and biological information, and Bio-Signal Context aware system (BSC), which recognizes the current context of its users as well as the information of exterior environment and offers the service appropriate for them, was designed and implemented. The BSC extracts and analyzes the features from bio-signals, such as the measured electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR), with its different sensors, has the input of the analyzed results, and discriminates four psychological states of rest, concentration, tension and melancholy. In addition to the results of the discriminated psychological states, the information of biological condition analyzed from the user's bio-signals, for example, heart rate variability (HRV), Galvanic skin response (GSR) and body temperature, and the information of external environment related to the user's are collected to offer the service fit for the user's present biological condition by inferring and recognizing the user's present situation.

• Journal of Biomedical Engineering Research
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• v.22 no.3
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• pp.293-301
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• 2001

A patient-specific musculoskeletal model, whose parameters can be identified noninvasively, was developed for the automatic generation of patient-specific stimulation pattern in FES. The musculotendon system was modeled as a torque-generator and all the passive systems of the musculotendon working at the same joint were included in the skeletal model. Through this, it became possible that the whole model to be identified by using the experimental joint torque or the joint angle trajectories. The model parameters were grouped as recruitment of muscle fibers, passive skeletal system, static and dynamic musculotendon systems, which were identified later in sequence. The parameters in each group were successfully estimated and the maximum normalized RMS errors in all the estimation process was 8%. The model predictions with estimated parameter values were in a good agreement with the experimental results for the sinusoidal, triangular and sawlike stimulation, where the normalized RMS error was less than 17%, Above results show that the suggested musculoskeletal model and its parameter estimation method is reliable.

• Journal of Biomedical Engineering Research
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• v.21 no.6
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• pp.567-573
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• 2000

뇌동맥류는 뇌혈관의 일부가 풍선처럼 부풀어나는 혈관계 질환이며 뇌동맥류의 파열은 사망이나 심각한 후유 장애를 야기한다. 뇌동맥류의 다양한 발생 원인 중 혈관 내부의 혈류의 유동이 중요한 인자로 의심된다. 뇌동맥류의 형성에 미치는 혈류역학적 인자를 규명하기 위해 내경동맥에서 발생한 환자의 내경 동맥류 CT 사진을 이용하여 내경동맥류 모델을 제작하고, 모델 내부의 혈류유동장을 입자영상속도계를 이용하여 측정하였다. 동맥류가 발생한 내경동맥류 모델에서는 동맥류 원위부 목(distal neck)쪽과 반대쪽 내경동맥 벽에서 전단응력이 높게 나타났다. 동맥류 발생에 미치는 혈류역학적 인자를 규명하기 위해 동맥류를 제거한 내경모델을 제작하여 맥동유동에서 내부 유동장을 측정하였다. 심실수축기 동안 휘어진 내경동맥의 바깥쪽 벽에서 혈류의 혈관벽 부딪힘이 관찰되었으며 심실이완기 초반에도 이는 계속 유지되었다. 내경 동맥 내부의 부차적 유동특성을 연구하기 위해 동맥류 발생 위치에서 혈관 축과 수직인 평면의 유동장이 측정되었다. 혈관 단면에서는 휘어진 혈관의 바깥쪽에서 안쪽으로 시계방향의 와류가 형성되었으며, 이로 인해 혈관벽 바깥쪽과 시계방향으로 90도 정도 지역에서 전단응력이 높게 나타났다. 혈류 유동 특성과 동맥류 발생위치를 비교해 보면, 혈류의 혈관벽 부딪힘이 관찰되는 위치와 부차적 유동에 의해 전단응력이 크게 나타난 지역은 동맥류의 발생위치와 일치하였다. 따라서 혈류의 혈관벽 부딪힘과 부차적 유동에 의한 전단력이 동맥류 발생의 혈류역학적 요인으로 의심된다.

• Journal of Biomedical Engineering Research
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• v.19 no.6
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• pp.611-616
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• 1998

Using three dimensional finite element model of the human brain, vibratory characteristics of the human brain according to vibratory direction was analyzed. From this analysis 9, 14Hz and 2, 3Hz natural frequencies were calculated for adult's and baby's brain model respectively. Regardless of the vibratory direction relatively high shear stress, pressure and von Mises stress variation except acceleration were detected in the baby brain model. At each natural frequencies, adult's model showed relatively high stress level in the region of lower limb control area compared with upper limb control area at 14Hz natural frequency.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.9C
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• pp.887-898
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• 2005

In this paper, we introduce a probabilistic model based on Bayesian networks BNs) for recognizing human fatigue. First of all, we measured face feature information such as eyelid movement, gaze, head movement, and facial expression by IR illumination. But, an individual face feature information does not provide enough information to determine human fatigue. Therefore in this paper, a Bayesian network model was constructed to fuse as many as possible fatigue cause parameters and face feature information for probabilistic inferring human fatigue. The MSBNX simulation result ending a 0.95 BN fatigue index threshold. As a result of the experiment, when comparisons are inferred BN fatigue index and the TOVA response time, there is a mutual correlation and from this information we can conclude that this method is very effective at recognizing a human fatigue.

• Journal of Biomedical Engineering Research
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• v.15 no.4
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• pp.447-454
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• 1994

A method has been proposed for the fully automatic detection of left ventricular endocardial boundary in 2D short axis echocardlogram using geometric model. The procedure has the following three distinct stages. First, the initial center is estimated by the initial center estimation algorithm which is applied to decimated image. Second, the center estimation algorithm is applied to original image and then best-fit elliptic model estimation is processed. Third, best-fit boundary is detected by the cost function which is based on the best-fit elliptic model. The proposed method shows effective result without manual intervention by a human operator.

• Journal of Biomedical Engineering Research
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• v.8 no.1
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• pp.57-62
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• 1987

A three-dimensional thoracic model was constructed using 8-node trilinear hexahedron elements. A three-dimensional steady-state finite element code was developed using FORTRAN. Its output consists of potential at each node. current In each element, and total current In each layer in the z-direction. The thoracic model was Implemented to calculate basal impedance(Zo) In Impedance CardiograPhy Generalized Laplace's equation was solved with Dirlchlet(constant potentials) and homogeneous Neumann(no flux) boundary conditions. It was found that the con structed thoracic model was reasonable since the calculated potential differences between the adjacent electrodes and basal impedance were about the same as the measured ones.

• Journal of Biomedical Engineering Research
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• v.20 no.1
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• pp.21-27
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• 1999

In order to increase our understanding of the injury mechanism in the child occupant, three year old child model was developed using commercial dynamic package DADS. Total 14 segments and 12 joints were used to compose a model in three points belted condition with booster seat. HYGE sled test case was simulated to validate the developed model. Based on the comparison of the model and published test results, the developed model appears to be a resonable representation of the three year old dummy.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.4
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• pp.302-306
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• 2001

Because face Images have many variations(expression, illumination, orientation of face, etc), there has been no popular method which has high recognition rate. To solve this difficulty, data fusion that fuses various information has been studied. But previous research for data fusion fused additional biological informationUingerplint, voice, del with face image. In this paper, cooperative results from several face image recognition modules are fused without using additional biological information. To fuse results from individual face image recognition modules, we use re-defined mass function based on Dempster-Shafer s fusion theory.Experimental results from fusing several face recognition modules are presented, to show that proposed fusion model has better performance than single face recognition module without using additional biological information.

• Journal of Life Science
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• v.34 no.5
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• pp.339-355
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• 2024

The pulmonary system is a highly complex system that can only be understood by integrating its functional and structural aspects. Hence, in vivo animal models are generally used for pathological studies of pulmonary diseases and the evaluation of inhalation toxicity. However, to reduce the number of animals used in experimentation and with the consideration of animal welfare, alternative methods have been extensively developed. Notably, the Organization for Economic Co-operation and Development (OECD) and the United States Environmental Protection Agency (USEPA) have agreed to prohibit animal testing after 2030. Therefore, the latest advances in biotechnology are revolutionizing the approach to developing in vitro inhalation models. For example, lung organ-on-a-chip (OoC) and organoid models have been intensively studied alongside advancements in three-dimensional (3D) bioprinting and microfluidic systems. These modeling systems can more precisely imitate the complex biological environment compared to traditional in vivo animal experiments. This review paper addresses multiple aspects of the recent in vitro modeling systems of lung OoC and organoids. It includes discussions on the use of endothelial cells, epithelial cells, and fibroblasts composed of lung alveoli generated from pluripotent stem cells or cancer cells. Moreover, it covers lung air-liquid interface (ALI) systems, transwell membrane materials, and in silico models using artificial intelligence (AI) for the establishment and evaluation of in vitro pulmonary systems.