• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.105-108
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• 2016

Shipping Along with the aging of the total population, its importance is greater cause of stroke, which is one of the diseases are listed cerebral perfusion is about 80%,.ie that the flow of blood flowing to the brain is reduced as the cause. One of the most typical prophylaxis and treatment of these stroke is to enhance cerebral perfusion. However, since the method of enhancing conventional cerebral perfusion have been conducted mainly in invasive method, giving a burden to the patient, the problem of inducing a number of complications were noted. Therefore, in this paper, an attempt to supplement the shortcomings of such invasive brain perfusion increase method, to provide a device to enhance the non-invasively brain perfusion.

• Electronics and Telecommunications Trends
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• v.36 no.5
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• pp.9-20
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• 2021

A technology to replace the traditional blood sampling method for glucose monitoring has been sought for a long time. It is now possible to measure the blood glucose change rate continuously for more than 24 hours using a minimally invasive method that does not involve blood collection. Furthermore, various technology development efforts are being made for innovative diabetes management through intermittent or continuous blood glucose monitoring in a non-invasive manner. In this paper, we present an overview of diabetes and the need for continuous blood glucose measurement techniques., and then introduce various non-invasive blood glucose measurement techniques currently being studied. In addition, through research and analysis of the recent commercialization development status of minimally invasive, non-invasive, and wearable continuous blood glucose measurement technologies, we examine global development trends of future technologies.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.509-512
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• 2022

수술 중 저혈압 예측은 환자의 안전과 직결되는 중요한 과제이다. 그러나 인간이 저혈압을 예측하는 것은 많은 경험과 노하우를 필요로 하며, 현재 연구되고 있는 예측 기술은 단일 정보를 활용하여 복합적인 원인을 반영하지 못하거나, 침습적으로 데이터를 획득하여 환자에게 불편함을 준다. 비침습적으로 수집한 데이터를 통한 저혈압 발생 예측에 대한 연구는 꾸준히 진행되어 왔으나, 기존 딥러닝을 이용한 접근방법으로는 정확도가 낮다. 본 논문에서는 그 원인을 1)데이터 전처리 2)데이터 불균형 3)기존 모델의 한계로 구분하고, 이를 해결 가능한 방안을 제시한다. 실험 결과 CNN*CNN에서 Focal Loss를 사용할 때, 가장 높은 성능을 내는 것을 확인했다.

• Journal of Chest Surgery
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• v.30 no.11
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• pp.1139-1141
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• 1997

Recently, minimally invasive approach via limited incision becomes one of the rapidly developing strategy in cardiac surgery as it gives less surgical trauma and is more satisfactory to the patients in respect to operative scar although the surgical technique is more demanding. Here, we report two cases of aortic valve replacement via limited transsternal incision. The methodology is described with review of the relevant literature.

• Journal of the KSME
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• v.47 no.6 s.319
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• pp.56-60
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• 2007

• Journal of the Korean Society for Nondestructive Testing
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• v.32 no.5
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• pp.526-539
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• 2012

A new approach was proposed in this article, named, a non-invasive ultrasonic method to monitor the urinary bladder internal pressure which can resolve the shortcomings of the existing methods. The proposed method makes use of acoustic cavitation. It is based on a physical phenomenon that an extracorporeal high intensity focused ultrasonic pulse generates bubbles inside the urinary bladder and the dynamic properties of the bubbles are related to the urinary bladder internal pressure. The article presents the theoretical foundation for the proposed technique and verifies its feasibility with preliminary experimental data. The suggested ultrasonic urinary bladder internal pressure monitoring method is non-invasive and can be used any time regardless of sex and age, so that it will be of a great benefit to the diagnosis and therapy of urination related diseases.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.991-1000
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• 2021

Among non-invasive blood glucose detection technologies, the optical technique is a method that uses light reflection, absorption, and scattering characteristics when passing through a biological medium. It reduces pain or discomfort in measurement and has no risk of infection. So it is becoming a major flow of blood glucose detection research. Among them, near-infrared spectroscopy has a disadvantage in that the complexity increases when analyzing signals detected due to interferences between proteins and acids that share a similar absorption function with blood glucose molecules. In this study, a non-invasive sensor system with multiple near-infrared bands was designed and manufactured to alleviate the deterioration of blood glucose detection function that may occur due to skin absorption of near-infrared rays. A blood survey was conducted to verify the system, and the degree of blood glucose response in the blood was collected as spectral data, and the results of this study were quantitatively verified in terms of correlation between the data and blood glucose.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1353-1362
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• 2023

Various methods are being attempted to resolve the inconvenience of blood glucose meters used to check blood sugar levels. In this paper, we attempted to estimate blood sugar levels non-invasively using machine learning technology from spectral data acquired using a near-infrared sensor. The non-invasive blood glucose meter used in the study has a total of six near-infrared ray emitters, including visible rays, and a light receiver that receives them. It is a device created to collect spectral data on specific parts of the human body, such as the fingers. To verify whether there was a significant difference depending on blood sugar level, we attempted to estimate blood sugar level through machine learning algorithms. As a result of applying five machine learning algorithm techniques to the collected data and adjusting various hyper parameters, it was confirmed that the support vector regression algorithm showed the best performance.

• Journal of Veterinary Clinics
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• v.19 no.3
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• pp.295-298
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• 2002

This study was conducted to develope noninvasive fecal PCR assay for detecting the Helicobacter species in dogs. From the DNA isolated from fecal samples, and a region of the 16S rRNA gene conserved among Helicobacter spp. was amplified In comparison with gastric biopsy test, the fecal PCR assay showed high specificity(100%) and sensitivity(96%). The prevalence of Helicobacter spp. infection in privately owned pet dogs in Korea detemined by the fecal PCR assay was 72.1%. the fecal PCR assay determined in this study can a new noninvasive test detecting Helicobacter spp. infection in dogs.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.83-85
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• 2013

본 연구는 사용자가 센서를 의식하지 않고 편안하게 일상생활을 영위할 수 있는 비침습적 방식의 센서를 활용하여 향후 침대 위에 있는 사람의 움직임을 정량적으로 측정하고자 한다. 이러한 목적으로 필름 형태의 압전센서를 사용하는 센서 시스템을 구축하였으며, 본 논문에서는 구축된 시스템에서 필요한 전처리 과정을 제시한다. 본 연구에서 사용된 압전센서는 침대 매트리스 아래에 설치하였다. 사람의 움직임에 의한 압전센서의 출력 신호를 증폭하고 샘플링하여 PC로 전송하는 컨트롤러, 컨트롤러로부터 센서 데이터를 수신하고, 사용자에게 센서 데이터를 시각적으로 제시하는 모니터링 프로그램을 개발하였다. 본 연구에서는 컨트롤러에서의 노이즈 제거, 증폭, 샘플링 등의 전처리, 모니터링 프로그램에 의해 수집된 센서 데이터에 대한 이동 평균 필터, 불필요한 움직임이 없는 구간을 제거 후 움직임이 있는 구간 추출 등의 전처리 과정을 제시한다. 이러한 전처리 연산은 향후 침대 위 인체의 움직임을 정량적으로 측정하고, 행동유형을 식별하는데 기여하게 될 것이다.