• Title/Summary/Keyword: Bio-medical Engineering

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Development of Smart Cradle for Monitoring Infant Vital Signals (영·유아 바이탈 신호 모니터링 스마트 요람의 개발)

  • Hong-Jun Na;Su-Won Song;Soo-Jong Hong;Tae-Su Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.1004-1005
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    • 2023
  • 본 연구에서는 PVDF 압전 센서와 IR 체온 센서 등을 활용하여 비접촉, 무(無) 구속 방식으로 요람에 있는 영유아의 바이탈 신호를 상시 측정하여 '영아 돌연사 증후군' 등 위험한 상황에 빠졌을 때 애플리케이션을 통하여 즉각 보호자에게 알리고 대처 방안을 제시하며, 상시 영·유아 모니터링이 불가능한 맞벌이 부모 등에게 자동 상태 경보 서비스를 제공하기 위하여 스마트 요람을 개발하였다.

Efficiency test Evaluation Method for Nebulizer & Medicinal Nonventilatory Nebulizer (의료용 흡입기 및 분무기의 성능 평가 연구)

  • Kim, S.M.;Jeong, J.H.;Lee, J.H.;Rho, S.G.
    • Journal of Biomedical Engineering Research
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    • v.30 no.5
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    • pp.438-443
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    • 2009
  • Nebulizer is designed to atomize medicinal fluid for patient with small particles(0.5-$5{\mu}m$) and also able to deliver particles from devices to the lungs when patient inhales air. Several particle size measurements are currently used to size aerosol particles. The most commonly used test is the cascade impactor method in as a standard. But, other methods for comparative particle size distribution data such as the particle size range and reproducibility are acceptable. Therefore, in this study a new test methode is suggested for nonventilatory nebulizer evaluation equipment.

3D Ultrasound Panoramic Image Reconstruction using Deep Learning (딥러닝을 활용한 3차원 초음파 파노라마 영상 복원)

  • SiYeoul Lee;Seonho Kim;Dongeon Lee;ChunSu Park;MinWoo Kim
    • Journal of Biomedical Engineering Research
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    • v.44 no.4
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    • pp.255-263
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    • 2023
  • Clinical ultrasound (US) is a widely used imaging modality with various clinical applications. However, capturing a large field of view often requires specialized transducers which have limitations for specific clinical scenarios. Panoramic imaging offers an alternative approach by sequentially aligning image sections acquired from freehand sweeps using a standard transducer. To reconstruct a 3D volume from these 2D sections, an external device can be employed to track the transducer's motion accurately. However, the presence of optical or electrical interferences in a clinical setting often leads to incorrect measurements from such sensors. In this paper, we propose a deep learning (DL) framework that enables the prediction of scan trajectories using only US data, eliminating the need for an external tracking device. Our approach incorporates diverse data types, including correlation volume, optical flow, B-mode images, and rawer data (IQ data). We develop a DL network capable of effectively handling these data types and introduce an attention technique to emphasize crucial local areas for precise trajectory prediction. Through extensive experimentation, we demonstrate the superiority of our proposed method over other DL-based approaches in terms of long trajectory prediction performance. Our findings highlight the potential of employing DL techniques for trajectory estimation in clinical ultrasound, offering a promising alternative for panoramic imaging.

Production of Intracelluar Tyrosinase Inhibitor from Malassezia pachydermatis (Malassezia pachydermatis에 의한 세포 내 Tyrosinase 저해제의 생산)

  • Lee, Sung-Hyun;Yu, Hyung-Eun;Kwak, Yoon-Jin;Kim, Hyo-Jin;Lee, Dae-Hyoung;Lee, Jong-Soo
    • The Journal of Natural Sciences
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    • v.14 no.2
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    • pp.93-102
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    • 2004
  • A yeast strain SL-27 found to produce active intracellular tyrosinase inhibitor was screened from 972 kinds of yeasts. It was identified as Malassezia pachydermatis based on microbiological characteristics. The optimum pH and temperature for the growth of Malassezia pachydermatis SL-27 were pH 7.0 and $37^{\circ}C$, respectively. The optimal culture conditions for the production of tyrosinase inhibitor by Malassezia pachydermatis SL-27 were investigated. The optimal medium cimposition for tyrosinase inhibitor production was determined to be 1.0% casamino acid, 2.0% glucose, 0.1% $KH_2PO_4$, 0.05% $MgSo_{4-}7H20$ and each 0.01 of $CaCl_2$ and NaCl. Optimal initial pH and temperature for the production of tyrosinase inhibitor were pH 5.0 and $30^{\circ}C$, respectively. The maximum tyrosinase inhibitory activity of 84%/mL of cell-free extract was showed after 12 h of cultivation under the optimal culturing conditions.

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Development of Multi-Frequency Impedance Measurement System for Acupuncture Points and Preliminary Report of Measurement Results (Multi-frequency 자극 방식을 이용한 생체 전기 임피던스 측정 시스템 설계 및 경혈의 전기적 특이성에 대한 고찰)

  • Kim, Soo-Byeong;Lee, Na-Ra;Lee, Seung-Wook;Choi, Jun-Young;Lee, Yong-Heum
    • Korean Journal of Acupuncture
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    • v.29 no.1
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    • pp.71-81
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    • 2012
  • Objectives : The purpose of this paper was to suggest new diagnostic method that was to supersede the estimation of electrical properties at acupoints. Thus, we developed the multi- frequencies bioelectrical impedance measurement system so as to analyze the state of bio-ions in body fluid as body compositions, not skin impedance at acupoint. Methods : At low frequency, the current does not penetrate the cell membrane and at high frequency, the current passes through both intracellular and extracellular fluid because of the decreas of cell membrane impedance. To confirm the reflection of composition in extracellular fluid or intracellular fluid of segment such as acupoint, the system was developed to detect the acupoint potential between adjacent two points in the area of LU3, LU4 and LU9 using 5,50 and 200KHz. Results : The detected acupoint potential has been decreased according to elevation of frequency. As a result of correlation of left/right identical acupoint, we observed a high correlation of three types of acupoint potential at multi-frequencies. Moreover, we observed the low correlation at 5KHz, and that was a significant factor to be considered as unbalanced relationship of identical acupoints. Conclusions : On the basis of meridian theoretical point of view, we may infer the acupoint's physiological composition using the multi-frequencies bioelectrical impedance measurement system.

A Study on the Regional Distribution Characteristics and Innovation Activity Performance of Bio-Industry in Korea: Focusing on Metropolitan and Non-metropolitan Areas (국내 바이오산업의 지역별 분포특성과 혁신 활동 성과에 관한 연구: 수도권과 비수도권 지역을 중심으로)

  • Min Jung Yu;Gyu Ha Ryu
    • Journal of Biomedical Engineering Research
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    • v.44 no.4
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    • pp.225-241
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    • 2023
  • The study empirically analyzed the differences in industry distribution and innovation activity performance in the metropolitan and non-metropolitan areas of Korea's bio companies, which are highlighted as future growth engines. The main innovation activities of the bio industry, which are focused on science and technology and expressed with high uncertainty, were analyzed, centering on human resources, technology cooperation, and investment promotion. As a result of the analysis, the biomedical industry in the metropolitan area was found to have a high proportion, and bio foods, bio-based chemicals, and energy industries in the non-metropolitan area, respectively. Moreover, the innovation activity performances differed between the two regions. In particular, the notable characteristics included human resources, investment promotion, and technical cooperation with medical institutions in the metropolitan area with a high proportion of biomedical industries, and technology personnel exchange and cooperation with private research institutions in the non-metropolitan area, which has a high proportion of bio foods, bio-based chemicals, and energy industries. This study is significant in that it is the first study to compare and analyze the performance of innovative activities based on the distribution of industries in the bio-industry, focusing on human resources, technology cooperation, and investment promotion. In addition, after investigating the distribution status and competitiveness of the domestic bio-industry by region, it will analyze the status and characteristics of the domestic bio-industry and present policy implications to implement relevant promotion policy more efficiently.

The Novel Method of Segmental Bio-Impedance Measurement Based on Multi-Frequency for a Prediction of risk Factors Life-Style Disease of Obesity (비만관련 생활습관병 위험인자 예측을 위한 다중 주파수 기반의 분할 체임피던스 측정법)

  • Kim, Eung-Seok;Noh, Yeon-Sik;Seo, Kwang-Seok;Park, Sung-Bin;Yoon, Hyung-Ro
    • Journal of Biomedical Engineering Research
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    • v.31 no.5
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    • pp.375-384
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    • 2010
  • The purpose of this study is to determine whether there is a correlation between the segmental bio-impedance measurement with the frequency modulations and the life-style disease of obesity. An obesity is not simply the factor for estimating the life-style disease of obesity, but also the risk factor occurring. There are many methods (BMI, WHR, Waist, CT, DEXA, BIA, etc.) for measuring a degree of obesity; the bio-impedance measurement is more economic and more effective than others. The physical examination, the blood test, the medical imaging diagnosis and the bio-impedancemeasurementswithmultiple frequencies for each body parts have been conducted for 77 people. The estimated value has been calculated through a segmental bio-impedance model based on multi-frequency that was created to reflect the highest correlation by analyzing correlation with linear regression analysis method for the measured bio-impedance and the risk factors. Then we compared with the clinical diagnosis. In case of high level cholesterol, low HDL-C and high LDL-C for life-style disease, the sensitivity is 80~100%and the specificity is 83~100%. This study has shown conclusively that bio-impedance can be a possible predictor to analyze the disease risk rate of population and individual health maintenance. And also the multi-frequency segmental bio-impedance can be used as early predictor to estimate the life-style disease of obesity.

Recent research trends on Bio-MEMS (Bio-MEMS분야의 최근 연구동향)

  • Park, Se-Kwang;Yang, Joo-Ran
    • Journal of Sensor Science and Technology
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    • v.19 no.4
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    • pp.259-270
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    • 2010
  • MEMS(micro electro mechanical systems) is a technology for the manufacture hyperfine structure, as a micro-sensor and a driving device, by a variety of materials such as silicon and polymer. Many study for utilizing the MEMS applications have been performed in variety of fields, such as light devices, high frequency equipments, bio-technology, energy applications and other applications. Especially, the field of Bio-MEMS related with bio-technology is very attractive, because it have the potential technology for the miniaturization of the medical diagnosis system. Bio-MEMS, the compound word formed from the words 'Bio-technology' and 'MEMS', is hyperfine devices to analyze biological signals in vitro or in vivo. It is extending the range of its application area, by combination with nano-technology(NT), Information Technology(IT). The LOC(lab-on-a-chip) in Bio-MEMS, the comprehensive measurement system combined with Micro fluidic systems, bio-sensors and bio-materials, is the representative technology for the miniaturization of the medical diagnosis system. Therefore, many researchers around the world are performing research on this area. In this paper, the application, development and market trends of Bio-MEMS are investigated.

Computer-aided Design and Fabrication of Bio-mimetic Scaffold for Tissue Engineering Using the Triply Periodic Minimal Surface (삼중 주기적 최소곡면을 이용한 조직공학을 위한 생체모사 스캐폴드의 컴퓨터응용 설계 및 제작)

  • Yoo, Dong-Jin
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.7
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    • pp.834-850
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    • 2011
  • In this paper, a novel tissue engineering scaffold design method based on triply periodic minimal surface (TPMS) is proposed. After generating the hexahedral elements for a 3D anatomical shape using the distance field algorithm, the unit cell libraries composed of triply periodic minimal surfaces are mapped into the subdivided hexahedral elements using the shape function widely used in the finite element method. In addition, a heterogeneous implicit solid representation method is introduced to design a 3D (Three-dimensional) bio-mimetic scaffold for tissue engineering from a sequence of computed tomography (CT) medical image data. CT image of a human spine bone is used as the case study for designing a 3D bio-mimetic scaffold model from CT image data.