• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.834-837
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• 2005

In this paper, we describe the method of non-invasive blood pressure measurement using pulse wave transit time(PWTT). PWTT is a new parameter involved with a vascular that can indicate the change of BP. PWTT is measured by continuous monitoring of ECG and pulse wave. No additional sensors or modules are required. In many cases, the change of PWTT correlates with the change of BP. We measure pulse wave using the photo plethysmograph(PPG) sensor in an earlobe and we measure ECG using the ECG monitoring device our made in the chest. The measurement device for detecting pulse wave consists of infrared LED for transmitted light illumination, pin photodiode as light detector, amplifier and filter. We composed 0.5Hz high pass, 60Hz notch and 10Hz low pass filter. ECG measurement device consists of multiplexer, amplifier, filter, micro-controller and RF module. After amplification and filtering, ECG signal and pulse wave is fed through micro-controller. We performed the initial work towards the development of ambulatory BP monitoring system using PWTT. An earlobe is suitable place to measure PPG signal without the restraint in daily work. From the results, we can know that the dependence of PWTT on BP is almost linear and it is possible to monitoring an individual BP continuously after the individual calibration.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.328-330
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• 2004

In this paper, ECG based cardiac disease diagnosis models are developed. Conventionally, ECG monitoring equipments can only measure and store ECG signals and they always require medical doctor's diagnosis actions which are not desirable for continuous ambulatory monitoring and diagnosis healthcare systems. In this paper, two kinds of neural based self cardiac disease diagnosis engines are developed and tested for four kinds of diseases, sinus bradycardia, sinus tachycardia, left bundle branch block and right bundle branch block. For diagnosis engines, error backpropagation neural network (BP) and probabilistic neural network (PNN) were applied. Five signal features including heart rate, QRS interval, PR interval, QT interval, and T wave types were selected for diagnosis characteristics. To show the validity of proposed diagnosis engine, MIT-BIH database were used to test. Test results showed that BP based diagnosis engine has 71% of diagnosis accuracy which is superior to accuracy of PNN based diagnosis engine. However, PNN based diagnosis engine showed superior diagnosis accuracy for complex-disease diagnoses than BP based diagnosis engine.

• 대한의용생체공학회:의공학회지
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• 제27권6호
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• pp.370-375
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• 2006

The purpose of this work is to predict the systolic blood pressure (BP) during exercise from pulse transit time (PTT) for warning of possible danger. PTT was calculated as the time between R-peak of ECG and the peak of differential photoplethysmograph (PPG). For the PTT-BP model, we used regress equations from previous studies and 3 kinds of new models combining linear and nonlinear regress equation. The model parameters were estimated with the data measured under low to middle intensity exercise, and then was tested with the data measured under high intensity exercise. Predicted BP values after high intensity exercise were compared with those measured by cuff-type sphygmomanometer. The results showed that the error between measured and predicted values were acceptable for the monitoring BP. We tested PTT-BP models 1 month after the identification without further calibration. Models could predict the BP and the errors between measured and predicted BP were about 5mmHg. The suggested system is expected to be helpful in recognizing any danger during exercise.

• 전기학회논문지
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• 제56권12호
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• pp.2265-2267
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• 2007

The purpose of this work is to compare the local fitting and global fitting approaches while applying regression model to the PTT-BP data for the prediction of exercise blood pressures. We used linear and nonlinear regression models to represent the PTT-BP relationship during exercise. PTT-BP data were acquired both under resting state and also after cycling exercise with several load conditions. PTT was calculated as the time between R-peak of ECG and the peak of differential photo-plethysmogram. For the identification of the regression models, we used local fitting which used only the resting state data and global fitting which used the whole region of data including exercise BP. The results showed that the global fitting was superior to the local fitting in terms of the coefficient of determination and the RMS (root mean square) error between the experimental and estimated BP. The nonlinear regression model which used global fitting showed slightly better performance than the linear one (no significant difference). We confirmed that the wide-range of data is required for the regression model to appropriately predict the exercise BP.

• 센서학회지
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• 제26권4호
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• pp.239-244
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• 2017

Noninvasive, cuffless, and continuous blood pressure (BP) monitoring is essential to prevent and control hypertension. A well-known existing method for this measurement is pulse transit time (PTT), which has been investigated by many researchers as a promising approach. However, the fundamental principle of the PTT method is based on the time interval taken by a pulse wave to propagate between the proximal and distal arterial sites. Consequently, this method needs an independent system with two devices placed at two different sites, which is a problem. Even though some studies attempted to synchronize the system, it is bulky and inconvenient by contemporary standards. To find a more sensitive method to be used in a BP measurement device, this study used radial electrical bioimpedance (REB) as a potential indicator for BP determination. Only one impedance plethysmography channel at the wrist is performed for demonstrating a ubiquitous BP wearable device. The experiment was evaluated on eight healthy subjects with the ambulatory BP monitor on the upper arm as a reference. The results demonstrated the potential of the proposed method by the correlation of estimated systolic (SBP) and diastolic (DBP) BP against the reference at $0.84{\pm}0.05$ and $0.83{\pm}0.05$, respectively. REB also tracked the DBP well with a root-mean-squared-error of $7.5{\pm}1.35mmHg$.

• 수면정신생리
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• 제9권1호
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• pp.24-33
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• 2002

목 적 : 폐쇄성 수면무호흡증(이하 수면무호흡증) 환자에서 고혈압이 흔히 병발되나 지속적 상기도 양압술(이하 양압술)에 따른 고혈압 해소 정도는 연구방법에 따라 상이한 결과를 보이고 있다. 이에 저자들은 지속적-비관혈적 혈압 측정법을 이용하여 기초 혈압치가 다양한 수면무호흡증 환자군에서 양압술을 적용하면서 야간 수면중 혈압 및 심박 동수 반응에 양압술이 미치는 영향을 연구하고자 하였다. 또한 양압술에 의한 혈역학적 변화에 영향을 줄 수 있는 요인들을 찾고자 하였다. 방 법 : 연구대상으로는 수면무호흡증의 임상 증상을 지니고 있으며 기초 측정일의 야간 수면다원검사 결과 호흡장애지수가 5이상인 환자 10명(평균연령 52.2$\pm$12.4세, 남자 9명, 여자 1명)을 선택하였다. 양압술을 시행하지 않은 상태인 기초 측정일과 양압술을 시행한 양압술 시행일 모두에서 야간 수면다원기록과 동시에 지속적-비관혈적 혈압측정기($Finapres^{(R)}$)를 사용하여 매 박동(beat-to-beat)시의 수축기 혈압, 이완기 혈압, 그리고 심박동수를 측정하였다. 또한 매 2초마다 혈중산소포화도($SaO_2$)를 측정하였다. 기초 측정일과 양압술 시행일 두 군간에 혈역학적 및 호흡기적 변인들의 평균치를 비교하였다. 기초 측정일 값에서 양압술 시행일 값을 뺀 수축기 혈압 델타값 및 이완기 혈압 델타값 각각과 기초 측정일의 측정치들(수축기 혈압, 이완기 혈압, 그 각각의 혈압 변이도, 심박동수 및 심박동수 변이도, 혈중산소포화도 평균치, 그리고 호흡장애지수), 양압술 시행일의 측정치들(양압술 처방압력 및 총 각성시간 분율), 연령, 그리고 비만도 간의 상관관계를 분석하였다. 결 과 : 1) 혈중 산소포화도의 평균치와 호흡장애지수가 기초 측정일에 비해 양압술 시행일에서 각각 증가(p<.01) 및 감소(p<.01)하였으나, 혈역학적 변인을 포함한 다른 비교 변인들에서는 차이가 없었다. 2) 기초 측정일의 혈압에서 양압술 시행일의 혈압을 뺀 델타값들을 분석한 결과 기초 측정일의 혈압치와 대상군의 연령에 따라 혈압 반응이 차별적으로 나타났다. 수축기 혈압 델타값과 기초 측정일의 수축기 혈압간에 유의한 정적 상관관계를 보였으나(p<.01), 이완기 혈압 델타값과 기초 측정일의 이완기 혈압간에는 각성기(p<.01)를 제외한 다른 수면단계에서 유의한 상관관계가 없었다. 렘수면단계를 제외한 모든 수면단계에서 이완기 혈압의 델타값과 연령 사이에 유의한 역 상관관계가 있었지만(p<.05), 수축기 혈압의 델타값과 연령 간에는 유의한 상관관계가 없었다. 3) 수축기 혈압 델타값 및 이완기 혈압델타값 각각과 기초 측정일의 측정치들, 양압술 시행일의 측정치들, 그리고 비만도 간의 상관관계를 분석한 결과, 이완기 혈압 델타값과 양압술 시행일의 각성시간 분율간의 유의한 정적 상관관계(p<.01) 외에는 유의한 상관관계가 없었다. 결 론 : 양압술 적용에 따라 수축기 혈압 델타값과 이완기 혈압 델타값이 기초 측정일의 수축기 혈압치와 대상군의 연령에 따라 각각 증가 또는 감소하였다. 따라서, 본 연구는 양압술에 따른 혈압 반응은 단순 감소로 나타나는 것이 아니라 여러 변인의 조건에 따라 차별적 혈압 반응 양상으로 나타나는 복합적인 현상이며 앞으로 좀더 세밀하게 연구되어야 할 대상임을 시사한다.

• Journal of Electrical Engineering and Technology
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• 제1권2호
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• pp.257-262
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• 2006

Insulation failure in an electrical utility depends on the continuous stress imposed upon it. Monitoring of the insulation condition is a significant issue for safe operation of the electrical power system. In this paper, comparison of recognition rate variable classification scheme of PD (partial discharge) sources that occur within an electrical utility are studied. To acquire PD data, five defective models are made, that is, air discharge, void discharge and three types of treeinging discharge. Furthermore, these statistical distributions are applied to classify PD sources as the input data for the classification tools. ANFIS shows the highest rate, the value of which is 99% and PCA-LDA and ANFIS are superior to BP in regards to other matters.

• The Korean Journal of Pain
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• 제23권2호
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• pp.142-146
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• 2010

Background: Stellate ganglion block (SGB) is known to increase blood flow to the innervations area of the stellate ganglion. Near infrared spectroscopy reflects an increased blood volume and allows continuous, non-invasive, and bedside monitoring of regional cerebral oxygen saturation ($rSO_2$). We investigated the influence of SGB on bilateral cerebral oxygenation using a near infrared spectroscopy. Methods: SGB was performed on 30 patients with 1% lidocaine 10 ml using a paratracheal technique at the C6 level and confirmed by the presence of Horner's syndrome. The blood pressure (BP), heart rate (HR) and rSO2 were measured before SGB and 5, 10, 15 and 20 minutes after SGB. Tympanic temperature of each ear was measured prior to SGB and 20 minutes after SGB. Results: The increments of the $rSO_2$ on the block side from the baseline were statistically significant at 5, 10, 15 and 20 minutes. The $rSO_2$ on the non-block side compared with the baseline, however, decreased at 15 and 20 minutes. The difference between the block and the non-block sides was significant at 15 and 20 minutes. The BP at 10, 15 and 20 minutes was increased and the HR was increased at 10 and 15 minutes. Conclusions: We observed an increment of the $rSO_2$ on the block side from the baseline; however, the $rSO_2$ on the non-block side decreased.

• Journal of Ecology and Environment
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• 제45권1호
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• pp.10-16
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• 2021

Background: Ranavirus is an emerging infectious disease which has been linked to mass mortality events in various amphibian species. In this study, we document the first mass mortality event of an adult population of Dybowski's brown frogs (Rana dybowskii), in 2017, within a mountain valley in South Korea. Results: We confirmed the presence of ranavirus from all collected frogs (n = 22) via PCR and obtained the 500 bp major capsid protein (MCP) sequence from 13 individuals. The identified MCP sequence highly resembled Frog virus 3 (FV3) and was the same haplotype of a previously identified viral sequence collected from Huanren brown frog (R. huanrenensis) tadpoles in South Korea. Human habitat alteration, by recent erosion control works, may be partially responsible for this mass mortality event. Conclusion: We document the first mass mortality event in a wild Korean population of R. dybowskii. We also suggest, to determine if ranavirus infection is a threat to amphibians, government officials and researchers should develop continuous, country-wide, ranavirus monitoring programs of Korean amphibian populations.

• The Plant Pathology Journal
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• 제38권6호
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• pp.656-664
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• 2022

Pectobacterium odoriferum is the primary causative agent in Kimchi cabbage soft-rot diseases. The pathogenic bacteria Pectobacterium genera are responsible for significant yield losses in crops. However, P. odoriferum shares a vast range of hosts with P. carotovorum, P. versatile, and P. brasiliense, and has similar biochemical, phenotypic, and genetic characteristics to these species. Therefore, it is essential to develop a P. odoriferumspecific diagnostic method for soft-rot disease because of the complicated diagnostic process and management as described above. Therefore, in this study, to select P. odoriferum-specific genes, species-specific genes were selected using the data of the P. odoriferum JK2.1 whole genome and similar bacterial species registered with NCBI. Thereafter, the specificity of the selected gene was tested through blast analysis. We identified novel species-specific genes to detect and quantify targeted P. odoriferum and designed specific primer sets targeting HAD family hydrolases. It was confirmed that the selected primer set formed a specific amplicon of 360 bp only in the DNA of P. odoriferum using 29 Pectobacterium species and related species. Furthermore, the population density of P. odoriferum can be estimated without genomic DNA extraction through SYBR Green-based real-time quantitative PCR using a primer set in plants. As a result, the newly developed diagnostic method enables rapid and accurate diagnosis and continuous monitoring of soft-rot disease in Kimchi cabbage without additional procedures from the plant tissue.