• 한국농공학회논문집
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• 제63권3호
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• pp.87-95
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• 2021

The Doam Lake Watershed is one of Gangwon-do's non-point source management areas. This area has a lot of snowfall in winter, and it is expected that there will be a lot of soil erosion in early spring due to snow melting. In this study, snow melting was monitored in the Doam Lake watershed from February to 3, 2020. It was conducted to analyze the water quality changes by calculating the concentration of non-point source pollution caused by snowmelt, and to compare the concentration of water quality during snowmelt event with rainfall and non-rainfall event. As a result of water quality analysis, Event Mean Concentration (EMC) at the first monitoring was SS 33.9 mg/L, TP 0.13 mg/L, TN 4.33 mg/L, BOD 1.35 mg/L, TOC 1.84 mg/L. At the second monitoring, EMC were SS 81.3 mg/L, TP 0.15 mg/L, TN 3.12 mg/L, BOD 1.32 mg/L, TOC 3.46 mg/L. In parameter except SS, it showed good water quality. It is necessary to establish management measures through continuous monitoring.

• 한국식품영양과학회지
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• 제41권12호
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• pp.1753-1757
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• 2012

LC-MS/MS를 사용함으로써 인체 혈장에서 ginsenoside Rb1의 분석법을 개발하고 검증하였다. 유속 0.9 mL/min에 이동상 0.1% formic acid가 첨가된 water와 methanol을 사용하여 기울기 용리 조건으로 설정하였으며 사용한 분석 칼럼은 C 18($4.6mm{\times}150mm$, particle size 5 ${\mu}m$)을 사용하여 분리하였다. MRM(multiple reaction monitoring) 방법의 전기 분무 이온화 이온 분석기로 모니터링 하여 분석하였다. 인체 혈장 샘플은 액체-액체 추출방법에 의해 acetone과 water가 섞인 용액으로 추출하였다. 이 분석의 검량선 범위는 10~500 ng/mL이며 상관계수는 0.9995를 나타냈다. 일내, 일간의 정밀성 농도범위는 상관계수 5.8% 그리고 정확성은 96.0~104.6%로 나타났다. 이 LC-MS/MS를 이용한 인체 혈장의 ginsenoside Rb1의 연구가 약동학 연구에 적용할 수 있을 거라 생각한다.

• 동의생리병리학회지
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• 제22권4호
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• pp.835-840
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• 2008

Acupuncture has long been contended to be effective in an ischemic stroke. A real-time monitoring of glutamate, an excitotoxin in the process of ischemic neuronal damage, in the striatum is tried in a rat model of global ischemia. Global ischemia was induced by the 11 vessel occlusion method for 10 minutes, during which acupuncture stimulation on GB34 and GB39 points was executed. Glutamate release in the rat striatum was monitored 256 times per second using real-time amperometric biosensor. Real time measurement data of 10 minutes prior to the induction of ischemia served as baseline data. Data acquisition continued for 30 minutes after the initiation of reperfusion. Peak concentration of glutamate release along with incidentally measured EEG and cerebral blood flow was compared between cases with and without acupuncture stimulation. Peak concentration of glutamate lowered when acupuncture stimulation was executed. A real time monitoring system of 11 vessel-occlusion induced global ischemia model was successfully established. The effect by acupuncture on acute global ischemia was successfully observed in this real-time monitoring setting, which may be one of the neuroprotective mechanism of acupuncture.

• 대한의용생체공학회:의공학회지
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• 제3권2호
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• pp.113-118
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• 1982

This paper presents a frequency modulated radio-telemetry, transmitter for monitoring and transmitting an exercise electrocardiogram (ECG) and respiration activity simultaneously on single carrier frequency in the standard FM broadcast band of 88-108 MHz. We have evaluated the performance of the FM telemetry transmitter which is proposed on the basis of an exercise ECG test in the treadmill.

• Journal of Electrochemical Science and Technology
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• 제12권1호
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• pp.33-37
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• 2021

In electrochemical glucose sensing, the enhancement of the sensitivity and the response time is essential in developing stable and reliable sensors, especially for continuous glucose monitoring. We developed a method to increase the sensitivity and to shorten the response time for the sensing upon the appropriate addition of single wall carbon nanotube onto the osmium polymer-based hydrogel electrode. Also, the background stabilization is dramatically enhanced.

• 시스템엔지니어링학술지
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• 제15권2호
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• pp.66-71
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• 2019

In digital pathology, an electronic system in the biomedical domain storage of the files is a big constrain and because all the analysis and annotation takes place at every user-end manually, it becomes even harder to manage the data that is being shared inside an enterprise. Therefore, we need such a storage system which is not only big enough to store all the data but also manage it and making communication of that data much easier without losing its true from. A virtual server setup is one of those techniques which can solve this issue. We set a main server which is the main storage for all the virtual machines(that are being used at user-end) and that main server is controlled through a hypervisor so that if we want to make changes in storage overall or the main server in itself, it could be reached remotely from anywhere by just using the server's IP address. The server in our case includes XML-RPC based API which are transmitted between computers using HTTP protocol. JAVA API connects to HTTP/HTTPS protocol through JAVA Runtime Environment and exists on top of other SDK web services for the productivity boost of the running application. To manage the server easily, we use Tkinter library to develop the GUI and pmw magawidgets library which is also utilized through Tkinter. For managing, monitoring and performing operations on virtual machines, we use Python binding to XML-RPC based API. After all these settings, we approach to make the system user friendly by making GUI of the main server. Using that GUI, user can perform administrative functions like restart, suspend or resume a virtual machine. They can also logon to the slave host of the pool in case of emergency and if needed, they can also filter virtual machine by the host. Network monitoring can be performed on multiple virtual machines at same time in order to detect any loss of network connectivity.

• Current Optics and Photonics
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• 제6권5호
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• pp.489-496
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• 2022

Our previous study on monitoring cerebral oxygenation with a variation of isoflurane concentration in a rat model showed that near-infrared spectroscopy (NIRS) signals have potential as a new depth of anesthesia (DOA) index. However, that study obtained results from the brain in a completely invasive way, which is inappropriate for clinical application. Therefore, in this follow-up study, it was investigated whether the NIRS signals measured in a minimally invasive model including the skull and cerebrospinal fluid layer (CSFL) are similar to the previous study used as a gold standard. The experimental method was the same as the previous study, and only the subject model was different. We continuously collected NIRS signals before, during, and after isoflurane anesthesia. The isoflurane concentration started at 2.5% (v/v) and decreased to 1.0% by 0.5% every 5 min. The results showed a positive linear correlation between isoflurane concentration and ratio of reflectance intensity (RRI) increase, which is based on NIRS signals. This indicates that the quality of NIRS signals passed through the skull and CSFL in the minimally invasive model is as good as the signal obtained directly from the brain. Therefore, we believe that the results of this study can be easily applied to clinics as a potential indicator to monitor DOA.

• 한국방사선학회논문지
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• 제17권7호
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• pp.1179-1187
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• 2023

최신 이동수단 발달과 관련하여 다양한 생체 신호 및 의료영상 측정용 의료기술 개발이 활발히 이루어 지고 있다. 특히, 인지/신경과학 분야에서 뇌파(electroencephalography, EEG) 측정의 중요성과 이동 중 차량에서의 정확한 뇌파 측정기술 개발은 매우 도전적인 분야이다. 본 연구에서는, 운전 중 뇌파를 이용한 기술에 대해 광범위하게 조사하고, 기술 연구의 동향을 분석하고자 하였다. 이를 위해, Scopus 데이터베이스를 활용하여 2000년 이후 진행된 뇌파 관련 연구를 탐색하였으며, 약 40여편의 논문을 선정하였다. 이를 통해 신호처리 기술, EEG 측정 디바이스 개발, 차량 내 운전자 상태 모니터링 기술의 현재 동향과 미래 방향을 조명하였다. 또한, 이를 위한 초소형 32채널 뇌파 측정 시스템을 설계해 보았으며, 간단히 이를 구현하여 뇌파 신호를 측정 분석함으로써 검토해 보았다. 본 연구는 운전 중 생체신호 측정 및 분석 기술이 자율주행 시대에 맞추어 운전자 케어와 건강 모니터링에 기여할 것으로 기대한다.

• 한국컴퓨터정보학회논문지
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• 제21권10호
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• pp.91-98
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• 2016

Outbreaks of highly contagious livestock diseases can cause direct and indirect economic impacts such as lower productivity of cattle farms, fall in tourism in damaged areas and countries, and decline in exports. They also incur tremendous social costs associated with disease elimination and restoration work. Thus, it is essential to prevent livestock diseases through monitoring and prediction efforts. Currently, however, it is still difficult to provide accurate predictive information regarding occurrences of livestock diseases, because existing cattle health monitoring or forecasting systems are only limited to monitor environmental conditions of livestock barns and check activities of cattle by using a pedometer or thermal image. In this paper, we present a biosensor-based cattle health monitoring system capable of collecting bio-signals of farm animals in an effective way. For the presented monitoring system, we design an integrated monitoring device consisting of a sensing module to measure bio-signals of cattle such as the heartbeat, the breath rate and the momentum, as well as a Zigbee module designed to transmit the biometric data based on Wireless Sensor Network (WSN). We verify the validity of the monitoring system by the comparison of the correlations of designed device with a commercial ECG equipment through analyzing the R-peak of measured signals.

• 대한의용생체공학회:의공학회지
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• 제36권5호
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• pp.143-149
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• 2015

In this paper, we proposed a novel method for automatic detection for snoring and heart beat using a single piezoelectric sensor. For this study multi-rate signal processing technique was applied to detect snoring and heart beat from the single source signal. The sound event duration and intensity features were used to snore detection and heart beat was found by autocorrelation. The performance of the proposed method was evaluated on clinical database, which is the nocturnal piezoelectric snoring data of 30 patients that suffered obstructive sleep apnea. The method achieved sensitivity of 88.6%, specificity of 96.1% with accuracy of 95.6% for snoring and sensitivity of 94.1% and positive predictive value of 87.6% for heart beat, respectively. These results suggest that the proposed method can be a useful tool in sleep monitoring and sleep disordered breathing diagnosis.