• Title/Summary/Keyword: Biomedical technology

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Development of an algorithm for Detecting Symptom level in patients with Scleroderma

  • Jeong, Jin-Hyeong;Lee, Ki-Young;Kim, Min-yeong;Kim, Nam-Sun;Lee, Sang-Sik
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.5
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    • pp.367-372
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    • 2015
  • In this study, locality of scleroderma was detected. Diagnostic method is difficult for scleroderma (skin curing; Scleroderma), and it is done by comparing the images of the normal subjects to the scleroderma patients, after performing monochrome processing. The saturation, brightness, and contrast are adjusted, and they were converted by using the process of Well Filter. As a result, the images were able to be used to clearly distinguish the symptoms of scleroderma. In addition, in a video of a healthy person, the line of sight of the observation given the image of scleroderma patients above sea level of height as $0^{\circ}$ is to implement the closing process to the rear Well Filter even only in so that the horizontal plane, and out at intervals of graph the amplitude difference of the video have I asked. The diagnostic criteria were determined for the healthy subjects and the scleroderma patients.

Development of Integrated Biomedical Signal Management System Based on XML Web Technology

  • Lee Joo-sung;Yoon Young-ro
    • Journal of Biomedical Engineering Research
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    • v.26 no.6
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    • pp.399-406
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    • 2005
  • In these days, HIS(Hospital Information System) raise the quality of medical services by effective management of medical records. As computing environment was developed, it is possible to search information quickly. But, standard medical data exchange is not completed between medical clinic and another organ so far. In case of patient transfer, past medical record was not efficiently transmitted. It be feasible treatment delay or medical accident. It is trouble that medical records is transferred by a person and communicate with each other. Extensible Markup Language (XML) is a simple, very flexible text format derived from SGML. Originally designed to meet the challenges of large-scale electronic publishing, XML is also playing an increasingly important role in the exchange of a wide variety of data on the Web and elsewhere. Form in system of company product, relative organs that handle bio-signal data is each other dissimilar and integration and to transmit to supplement bottleneck this research uses XML. In this study, it is discussed about sharing of medical data using XML web technology to standard medical record between hospital and relative organization The data structure model was designed to manage bio-signal data and patient record. We experimented about data transmission and all-in-one between different systems (one make use of MS-SQL database system and the other manage existent bio-signal data in itself form in file in this research). In order to search and refer medical record, the web-based system was implemented. The system that can be shared medical data was tested to estimate the merits of XML. Implemented XML schema confirms data transmission between different data system and integration result.

Development and Evaluation of D-Attention Unet Model Using 3D and Continuous Visual Context for Needle Detection in Continuous Ultrasound Images (연속 초음파영상에서의 바늘 검출을 위한 3D와 연속 영상문맥을 활용한 D-Attention Unet 모델 개발 및 평가)

  • Lee, So Hee;Kim, Jong Un;Lee, Su Yeol;Ryu, Jeong Won;Choi, Dong Hyuk;Tae, Ki Sik
    • Journal of Biomedical Engineering Research
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    • v.41 no.5
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    • pp.195-202
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    • 2020
  • Needle detection in ultrasound images is sometimes difficult due to obstruction of fat tissues. Accurate needle detection using continuous ultrasound (CUS) images is a vital stage of treatment planning for tissue biopsy and brachytherapy. The main goal of the study is classified into two categories. First, new detection model, i.e. D-Attention Unet, is developed by combining the context information of 3D medical data and CUS images. Second, the D-Attention Unet model was compared with other models to verify its usefulness for needle detection in continuous ultrasound images. The continuous needle images taken with ultrasonic waves were converted into still images for dataset to evaluate the performance of the D-Attention Unet. The dataset was used for training and testing. Based on the results, the proposed D-Attention Unet model showed the better performance than other 3 models (Unet, D-Unet and Attention Unet), with Dice Similarity Coefficient (DSC), Recall and Precision at 71.9%, 70.6% and 73.7%, respectively. In conclusion, the D-Attention Unet model provides accurate needle detection for US-guided biopsy or brachytherapy, facilitating the clinical workflow. Especially, this kind of research is enthusiastically being performed on how to add image processing techniques to learning techniques. Thus, the proposed method is applied in this manner, it will be more effective technique than before.

The Biomedical Medicalization of Depression in Korea (우울증의 '생의학적 의료화' 형성 과정)

  • Park, Hye Kyung
    • Journal of Science and Technology Studies
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    • v.12 no.2
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    • pp.117-157
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    • 2012
  • This paper investigated the biomedical medicalization of "depression"which is growing fast in Korea in terms of the treatment mechanism. Depression has been regarded as a mental disease that occurs with mixing various causations because what was the cause of this disease was not clarified until a recent date. Thus, as depression treatment, the medicine and the psycho-socio therapy have been used. However, from 1990s, as the brain science was introduced in the western society, and the high-tech diagnostic equipment of the brain disease and new drugs for the mental disease were developed, depression was rapidly redefined as 'the brain nerve system illness'that is easy to be taken and is able to obtain the permanent relief with the regular care. Under the influence of the redefinition of depression and the new treatment of it, recently, 8% of depression patients per year emerge as the aggressive cure subjects in the Korean psychiatric circle. However, according to the Korean psychiatric circle's unofficial calculation, it is estimated that only 10% of depression patients are receiving the accurate treatment but over 80% of the patients are not. If so, what does this estimation mean? Based on this question, this paper critically investigated the biomedical medicalization of depression.

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Quantitative Evaluation of the Performance of Monaural FDSI Beamforming Algorithm using a KEMAR Mannequin (KEMAR 마네킹을 이용한 단이 보청기용 FDSI 빔포밍 알고리즘의 정량적 평가)

  • Cho, Kyeongwon;Nam, Kyoung Won;Han, Jonghee;Lee, Sangmin;Kim, Dongwook;Hong, Sung Hwa;Jang, Dong Pyo;Kim, In Young
    • Journal of Biomedical Engineering Research
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    • v.34 no.1
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    • pp.24-33
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    • 2013
  • To enhance the speech perception of hearing aid users in noisy environment, most hearing aid devices adopt various beamforming algorithms such as the first-order differential microphone (DM1) and the two-stage directional microphone (DM2) algorithms that maintain sounds from the direction of the interlocutor and reduce the ambient sounds from the other directions. However, these conventional algorithms represent poor directionality ability in low frequency area. Therefore, to enhance the speech perception of hearing aid uses in low frequency range, our group had suggested a fractional delay subtraction and integration (FDSI) algorithm and estimated its theoretical performance using computer simulation in previous article. In this study, we performed a KEMAR test in non-reverberant room that compares the performance of DM1, DM2, broadband beamforming (BBF), and proposed FDSI algorithms using several objective indices such as a signal-to-noise ratio (SNR) improvement, a segmental SNR (seg-SNR) improvement, a perceptual evaluation of speech quality (PESQ), and an Itakura-Saito measure (IS). Experimental results showed that the performance of the FDSI algorithm was -3.26-7.16 dB in SNR improvement, -1.94-5.41 dB in segSNR improvement, 1.49-2.79 in PESQ, and 0.79-3.59 in IS, which demonstrated that the FDSI algorithm showed the highest improvement of SNR and segSNR, and the lowest IS. We believe that the proposed FDSI algorithm has a potential as a beamformer for digital hearing aid devices.

Curcumin Inhibits Ovalbumin-Induced Inducible Nitric Oxide Synthase Expression (Curcumin은 ovalbumin에 의해서 유도된 inducible nitric oxide synthase 억제)

  • Kim, Ji-Soo;Ahn, Hee-Jin;Shin, Hwa-Jeong;Gu, Gyo-Jeong;Eum, Sang-Hoon;Lee, Chung-Ho;Min, In-Soon;Youn, Hyung-Sun
    • Korean Journal of Food Science and Technology
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    • v.44 no.4
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    • pp.498-501
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    • 2012
  • Egg allergy has been reported as the most prevalent food hypersensitivity among children. One of the major egg allergens is ovalbumin (OVA). OVA is the major protein in the egg white, comprising 54% of its total protein content. Curcumin isolated from Curcuma longa has been used as folk remedies in order to treat many chronic diseases for many years. In the present report, we present biochemical evidence that curcumin inhibits the NF-${\kappa}B$ activation induced by OVA. Curcumin also inhibits OVA-induced iNOS expression and nitrite production. These data suggest new approaches for the development of efficient anti-allergic strategies.

Effect of Next-Generation Exome Sequencing Depth for Discovery of Diagnostic Variants

  • Kim, Kyung;Seong, Moon-Woo;Chung, Won-Hyong;Park, Sung Sup;Leem, Sangseob;Park, Won;Kim, Jihyun;Lee, KiYoung;Park, Rae Woong;Kim, Namshin
    • Genomics & Informatics
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    • v.13 no.2
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    • pp.31-39
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    • 2015
  • Sequencing depth, which is directly related to the cost and time required for the generation, processing, and maintenance of next-generation sequencing data, is an important factor in the practical utilization of such data in clinical fields. Unfortunately, identifying an exome sequencing depth adequate for clinical use is a challenge that has not been addressed extensively. Here, we investigate the effect of exome sequencing depth on the discovery of sequence variants for clinical use. Toward this, we sequenced ten germ-line blood samples from breast cancer patients on the Illumina platform GAII(x) at a high depth of ${\sim}200{\times}$. We observed that most function-related diverse variants in the human exonic regions could be detected at a sequencing depth of $120{\times}$. Furthermore, investigation using a diagnostic gene set showed that the number of clinical variants identified using exome sequencing reached a plateau at an average sequencing depth of about $120{\times}$. Moreover, the phenomena were consistent across the breast cancer samples.

Development of an Optical Tissue Clearing Laser Probe System

  • Yeo, Changmin;Kang, Heesung;Bae, Yunjin;Park, Jihoon;Nelson, J. Stuart;Lee, Kyoung-Joung;Jung, Byungjo
    • Journal of the Optical Society of Korea
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    • v.17 no.4
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    • pp.289-295
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    • 2013
  • Although low-level laser therapy (LLLT) has been a valuable therapeutic technology in the clinic, its efficacy may be reduced in deep tissue layers due to strong light scattering which limits the photon density. In order to enhance the photon density in deep tissue layers, this study developed an optical tissue clearing (OTC) laser probe (OTCLP) system which can utilize four different OTC methods: 1) tissue temperature control from 40 to $10^{\circ}C$; 2) laser pulse frequency from 5 to 30 Hz; 3) glycerol injection at a local region; and 4) a combination of the aforementioned three methods. The efficacy of the OTC methods was evaluated and compared by investigating laser beam profiles in ex-vivo porcine skin samples. Results demonstrated that total (peak) intensity at full width at half maximum of laser beam profile when compared to control data was increased: 1) 1.21(1.39)-fold at $10^{\circ}C$; 2) 1.22 (1.49)-fold at a laser pulse frequency of 5 Hz; 3) 1.64 (2.41)-fold with 95% glycerol injection; 4) 1.86 (3.4)-fold with the combination method. In conclusion, the OTCLP system successfully improved the laser photon density in deep tissue layers and may be utilized as a useful tool in LLLT by increasing laser photon density.

Consciousness of Biomedical Ethics and Professionalism among General Hospital Nurses (종합병원 간호사의 생명의료윤리의식과 전문직업성)

  • Choi, Eun-Young
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.249-259
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    • 2018
  • The purpose of this study was to investigate nurses' consciousness of biomedical ethics and professionalism in general hospitals. Participants in this study were 163 nurses working in 3 general hospitals. Data analysis was done using SPSS / WIN 24.0 program. As a result of this study, the consciousness of biomedical ethics of the nurse was moderate. The highest sub-area was 'right to life of fetus' and 'artificial abortion' was the lowest sub-area. The professionalism of the subjects was moderate. The highest sub-area was 'reference professional group' and 'sense of mission' was the lowest sub-area. The nurses' consciousness of biomedical ethics was related to professionalism. Therefore, nurses should be educated to help ethical decision making so that they can have bioethical value and bioethical decision making ability according to the changes and demands of the times. In addition, institutional arrangements to improve professionalism should be provided.

Influence of Consciousness of Biomedical Ethics on Nursing Professionalism of Nursing Students (간호대학생의 생명의료윤리의식이 간호전문직관에 미치는 영향에 관한 연구)

  • Yun, Mi Jin
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.105-112
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    • 2021
  • The purpose of this study was to investigate the influence of Consciousness of biomedical ethics on nursing professionalism among nursing students. Data were collected among 192 nursing students in G city, from May 20 to 27, 2021. The collected data was analyzed a using t-test, One way ANOVA, Pearson's correation coeffcient and Stepwise multiple regression using SPSS 20.0 WIN program. The average score for Consciousness of biomedical ethics was 3.28±0.41 and nursing professionalism was 3.32±0.85. nursing professionalism showed a positve correlation(r=.55, p=.000) with Consciousness of biomedical ethics, Models including the variables, Organ transplant, Euthanasia, explained 37%, 16.5% of the variance in the nursing professionalism. Based on the outcome of this study, steps should be taken to design intervention program that emphasize a improve nursing professionalism for nursing students.