• Title/Summary/Keyword: 의용공학

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Remotly control led Interactive Magnetic Resonance Imaging using the World Wide Web (World Wide Web을 이용한 원격제어 자기 공명 영상)

  • Ahn, C.B.;Park, J.I.;Kim, C.Y.;Park, D.J.;Ryu, W.S.;Oh, C.H.;Lee, H.K.
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.05
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    • pp.139-142
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    • 1996
  • A remotly controlled interactive magnetic resonance imaging (MRI) has been tried using the World Wide Web. For this purpose, an HTTP server is developed on the host computer of the MRI system. Video and audio conferencing capability is also included for the experiment. Using the developed system, MRI imaging has been successfully carried out at the Signal Processing Lab in the Kwangwoon University with the remote MRI system located at the Medical Image Research Center in the KAIST in Daejon.

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A Computer Aided Diagnosis Algorithm for Classification of Malignant Melanoma based on Deep Learning (딥 러닝 기반의 악성흑색종 분류를 위한 컴퓨터 보조진단 알고리즘)

  • Lim, Sangheon;Lee, Myungsuk
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.4
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    • pp.69-77
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    • 2018
  • The malignant melanoma accounts for about 1 to 3% of the total malignant tumor in the West, especially in the US, it is a disease that causes more than 9,000 deaths each year. Generally, skin lesions are difficult to detect the features through photography. In this paper, we propose a computer-aided diagnosis algorithm based on deep learning for classification of malignant melanoma and benign skin tumor in RGB channel skin images. The proposed deep learning model configures the tumor lesion segmentation model and a classification model of malignant melanoma. First, U-Net was used to segment a skin lesion area in the dermoscopic image. We could implement algorithms to classify malignant melanoma and benign tumor using skin lesion image and results of expert's labeling in ResNet. The U-Net model obtained a dice similarity coefficient of 83.45% compared with results of expert's labeling. The classification accuracy of malignant melanoma obtained the 83.06%. As the result, it is expected that the proposed artificial intelligence algorithm will utilize as a computer-aided diagnosis algorithm and help to detect malignant melanoma at an early stage.

Physical Properties of Medical Radiation Shielding Sheet According to Shielding Materials Fusion and Resin Modifier Properties (차폐 재료의 융합과 개질제 특성에 따른 의료방사선 차폐 시트 물리적 특성 고찰)

  • Kim, Seon-Chil
    • Journal of the Korea Convergence Society
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    • v.9 no.12
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    • pp.99-106
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    • 2018
  • The modifier proposed in this research is for enhancing the affinity of the glass component with the high polymer resin and the molecular weight. The particle packing, tensile strength and shielding performance of the shielding sheet made of the tungsten oxide were evaluated. The best effect can be obtained when 20% of the modifier PMMA used to improve the shielding performance and maintain the affinity and strength with the sealant is mixed. The fusion of the materials presented in this study and the mass production of the shielding sheet through the modifier are possible and will contribute to the production of lightweight shielding sheets in the future.

Study on animal Ocular irritation test of ozonated olive oil (오존화 올리브오일의 동물 눈 안점막 자극시험 연구)

  • Kim, Duck-Sool
    • Journal of the Korean Applied Science and Technology
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    • v.35 no.4
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    • pp.1407-1412
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    • 2018
  • This study suggests that ozonated olive oil can kill a wide variety of microorganisms while being less toxic but in the case of administration or abdominal administration, the human body is harmless. In Korea, there is no animal stability test yet. In this study, ozonated olive oil was used to test the stability of the animal through the eye. Specific experiments were performed to evaluate animal Ocular irritation safe test of ozonized oil (high concentration) in rabbits. and Observation of the treatment point on the test substance, ozonated olive oil showed no Ocular irritation in both the non-washing group and the washing group.

Microscopic Image-based Cancer Cell Viability-related Phenotype Extraction (현미경 영상 기반 암세포 생존력 관련 표현형 추출)

  • Misun Kang
    • Journal of Biomedical Engineering Research
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    • v.44 no.3
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    • pp.176-181
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    • 2023
  • During cancer treatment, the patient's response to drugs appears differently at the cellular level. In this paper, an image-based cell phenotypic feature quantification and key feature selection method are presented to predict the response of patient-derived cancer cells to a specific drug. In order to analyze the viability characteristics of cancer cells, high-definition microscope images in which cell nuclei are fluorescently stained are used, and individual-level cell analysis is performed. To this end, first, image stitching is performed for analysis of the same environment in units of the well plates, and uneven brightness due to the effects of illumination is adjusted based on the histogram. In order to automatically segment only the cell nucleus region, which is the region of interest, from the improved image, a superpixel-based segmentation technique is applied using the fluorescence expression level and morphological information. After extracting 242 types of features from the image through the segmented cell region information, only the features related to cell viability are selected through the ReliefF algorithm. The proposed method can be applied to cell image-based phenotypic screening to determine a patient's response to a drug.

Muscle Coactivation Analysis during Upper-Limb Rehabilitation using Haptic Robotics in Stroke Survivors (뇌졸중 환자의 햅틱 로봇 기반 상지 재활 시 근육 동시활성도 분석)

  • Keonyoung Oh
    • Journal of Biomedical Engineering Research
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    • v.45 no.2
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    • pp.66-74
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    • 2024
  • This study analyzed the occurrence of abnormal muscle coactivations based on the assistance of upper limb weight during reaching task in stroke patients. Nine chronic stroke survivors with hemiplegia performed reaching tasks using a programmable haptic robot. Electromyography (EMG) coactivation levels in the upper limb muscles were analyzed using a linear model describing the activation levels of two muscles when the patient's upper limb weight was assisted at 0%, 25%, and 50%. As the upper limb weight assistance of the haptic robot decreased, the magnitude of the EMG signal in both the deltoid and biceps muscles increased simultaneously on both the paretic and non-paretic sides. However, no difference was found between the paretic and non-paretic sides when comparing the slope of the linear model describing the activation relationship between the deltoid and biceps. The aforementioned results suggest that in some stroke survivors, the deltoids, triceps, and biceps on the paretic side may not be abnormally coupled when supporting the upper limbs against gravity. Furthermore, these results suggest that the combination of haptic robots and EMG analysis might be utilized for evaluating abnormal coactivations in stroke patients.

Analysis of the Impact of Chair Tilt Function on Users' Biometric Signals and Comfort (의자의 틸트 기능이 사용자의 생체 신호 및 안락도에 미치는 영향 분석)

  • Seulki Kyeong
    • Journal of Biomedical Engineering Research
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    • v.45 no.2
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    • pp.75-80
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    • 2024
  • This research investigates the influence of chair tilt functionality on biometric signals and user comfort, addressing the ergonomic challenges posed by modern sedentary lifestyles. Through an experimental study involving eight male participants, the impact of chair tilt on electromyography (EMG), heart rate, metabolic rate, pressure distribution, and distance between the lumbar spine and the lumbar support part of the chair was measured across different seating postures. The study utilized chairs with both synchronous and non-synchronous tilt mechanisms to explore how adjustments in chair design affect user comfort and physiological responses during prolonged sitting. Key findings suggest that chair tilt functionality can significantly reduce muscle activity and energy expenditure, enhancing user comfort and potentially mitigating health risks associated with prolonged sedentary behavior. Notably, the study revealed a preference among participants for chairs that aligned the rotational center of the tilt with the hip joint, highlighting the importance of this ergonomic feature in enhancing user comfort. Additionally, the research proposes a novel methodology for assessing seating comfort through the analysis of both biometric and physical signals, providing valuable insights for the development of ergonomic chair designs focused on user health and comfort.

Development of a Mobile Application for Disease Prediction Using Speech Data of Korean Patients with Dysarthria (한국인 구음장애 환자의 발화 데이터 기반 질병 예측을 위한 모바일 애플리케이션 개발)

  • Changjin Ha;Taesik Go
    • Journal of Biomedical Engineering Research
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    • v.45 no.1
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    • pp.1-9
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    • 2024
  • Communication with others plays an important role in human social interaction and information exchange in modern society. However, some individuals have difficulty in communicating due to dysarthria. Therefore, it is necessary to develop effective diagnostic techniques for early treatment of the dysarthria. In the present study, we propose a mobile device-based methodology that enables to automatically classify dysarthria type. The light-weight CNN model was trained by using the open audio dataset of Korean patients with dysarthria. The trained CNN model can successfully classify dysarthria into related subtype disease with 78.8%~96.6% accuracy. In addition, the user-friendly mobile application was also developed based on the trained CNN model. Users can easily record their voices according to the selected inspection type (e.g. word, sentence, paragraph, and semi-free speech) and evaluate the recorded voice data through their mobile device and the developed mobile application. This proposed technique would be helpful for personal management of dysarthria and decision making in clinic.

Effect of Gelatin Particles on Cell Proliferation in Polymer Scaffolds Made Using Particulate Leaching Technique. (Particulate Leaching 기법을 사용한 Polymer Scaffold 상의 세포증식에 있어서 젤라틴 입자의 효과)

  • 서수원;신지연;김진훈;김진국;길광현
    • Journal of Biomedical Engineering Research
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    • v.25 no.1
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    • pp.1-4
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    • 2004
  • On the background of general idea and technique of bioscience, medicine and engineering, tissue engineering aim at maintenance, improvement and repair of human body function through manufacturing and transplantation of artificial tissue and organ exchangeable human body. Basic material used in the area is scaffold that aid tissue and organ formation. Making scaffold, solvent-casting and particulate leaching technique is widely used in manufacturing of porous polymer scaffold. There are many types of particle including salt and gelatin. Salt is a most commonly used particulate because it is easily available and very easy to handle and gelatin particle is another candidate for this method because it is known as a material, which enhances cell attachment and proliferation. But there is no comparative study of two kinds of materials. In this study we compared the biocompatibility of the two scaffolds made from salt(salt scaffold) and gelatin particle (gelatin scaffold). These results demonstrated that gelatin scaffold showed better attachment of cells at the initial stage and better proliferation of cells. The better performance of gelatin scaffold is contributed to the better connection of pores in the same porosity.

Clinical Safety Evaluation of Interbody Fusion Cage Based on Tunable Elastic Modulus of the Cellular Structure According to the Geometrical Variables (형상학적 변수에 따른 다공성 구조의 가변탄성계수를 기반으로 한 추간체유합보형재의 임상적 안전성 평가)

  • Kim, SeongJin;Lee, YongKyung;Choi, Jaehyuck;Hong, YoungKi;Kim, JungSung
    • Journal of Biomedical Engineering Research
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    • v.40 no.5
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    • pp.158-164
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    • 2019
  • The interbody fusion cage used to replace the degenerative intervertebral disc is largely composed of titanium-based biomaterials and biopolymer materials such as PEEK. Titanium is characterized by osseointergration and biocompatibility, but it is posed that the phenomenon such as subsidence can occur due to high elastic modulus versus bone. On the other hand, PEEK can control the elastic modulus in a similar to bone, but there is a problem that the osseointegration is limited. The purpose of this study was to implement titanium material's stiffness similar to that of bone by applying cellular structure, which is able to change the stiffness. For this purpose, the cellular structure A (BD, Body Diagonal Shape) and structure B (QP, Quadral Pod Shape) with porosity of 50%, 60%, 70% were proposed and the reinforcement structure was suggested for efficient strength reinforcement and the stiffness of each model was evaluated. As a result, the stiffness was reduced by 69~93% compared with Ti6Al4V ELI material, and the stiffness most similar to cortical bone is calculated with the deviation of about 12% in the BD model with 60% porosity. In this study, the interbody fusion cage made of Ti6Al4V ELI material with stiffness similar to cortical bone was implementing by applying cellular structure. Through this, it is considered that the limitation of the metal biomaterial by the high elastic modulus may be alleviated.