• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.1
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• pp.3-7
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• 2010

In this study, we developed a circuit device detecting korotkoff sounds of forearm electronic blood pressure monitor by digital signal. In order to test a circuit detecting signal from korotkoff sounds, systolic and diastolic pressure were compared our developed circuit device with the existing forearm electronic blood pressure monitor (Model: SE-7000, Korea). Devices for an experiment composed of a forearm cuff, a stethoscope, an amplifier, a PC with A/D board, etc. Results of korotkoff sounds was similar to a pattern of oscilometric signals from the existing forearm electronic blood pressure monitor. We thought it is possible to measure blood pressures, if blood pressures were detected precisely using signals of korotkoff sounds.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.219-222
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• 2006

본 논문에서는 ANFIS를 이용한 전자혈압계 측정알고리즘을 제안한다. 이를 위해 본 연구에서는 우선, 기존의 팔뚝형 커프와 수동 공기주입기 방식의 전자혈압 측정시스템을 구축하여 혈압 신호를 실시간으로 취득하였다. 다음단계로 취득된 실시간 혈압신호를 이용하여 최고혈압과 최저 혈압을 측정하기 위해 MAA(Maximum Amplitude Algorithm) 기법을 이용한다. 그러나, MAA기법은 개인의 특성을 고려하지 않고 일정한 비율을 고정시키므로 정확한 혈압을 측정하는데 한계가 있다. 따라서, 본 논문에서는 MAA에 의해 측정된 최고혈압과 최저혈압을 ANFIS를 이용하여 학습시키므로서 이러한 문제점을 해결하고자 한다. 제안된 알고리즘의 효율성을 보이기 위해 다양한 혈압신호에 대해 실험한 결과 기존의 MAA에 의한 방법보다 향상된 결과를 나타냈다.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.4
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• pp.493-498
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• 2006

In this paper, we propose a blood pressure measurement method using ANFIS. Usually, the maximum and minimum blood pressures are calculated by Maximum Amplitude Algorithm(MAA) method. However, the MAA method has some drawbacks to measure exact blood pressure since it uses a fixed ratio to set the measuring points for everyone without considering individual's special conditions. To solve this problem, the pressures measured by the MMA are trained by ANFIS having self-learning ability. From various experiments, we confirm that the proposed method shows better performance than conventional method.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.40 no.6
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• pp.58-67
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• 2003

Many adult diseases(cerebral apoplexy, athymiait, etc.) result from hypertension, blood circulation disturbance and increment of HBP. In early diagnosis of these diseases, MRI, X-ray and PET have been used rather aim for treatment than prevention of a disease. Since, cerebral apoplexy and athymiait have been caused to the regular/irregular persons, it is very important to measure HBP which has connection with cerebral blood low state. HBP has more diagnosis elements than that of BP. So, we can diagnose accurate hypertension by measuring of HBP. But, existing sphygmomanometers and automatic BP monitors can not measure HBF, and can not execute complex function(measuring of BP/HBP, blood flow improvement). The purpose of this paper is to develop the system and algorithm which can measure BP/HBP for accurate diagnosis. Also, we extracted diagnosis factors by the correlativity analysis of BP/HBP. The maximum pressure of HBP corresponds to 62% that of BP, the minimum pressure of HBP corresponds to 46% that of BP. Therefore, we developed the multi function automatic blood pressure monitor which can measure BP/HBP and improve cerebral blood flow state.

• The Magazine of the IEIE
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• v.40 no.1
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• pp.39-49
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• 2013

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1173-1175
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• 2011

국내의 인구는 고령화와 함께 의료비 지출이 늘어나는 것은 혈압이나 당뇨와 같은 만성질환자 환자 비중이 높아졌기 때문이며 의료비의 절감 및 건강관리 향상을 위하여 본 연구에서는 스마트폰 점유율이 높은 안드로이드 OS를 기반으로 하여 건강관리 콘텐츠를 제공 하는 앱을 설계 하였다. 설계한 앱은 혈압계, 심전도 기기, 혈당계, 전자청진기 등을 이용하여 사용자가 자신의 건강상태를 안드로이드 기기에 전달하여 서버에 저장 하는 구동절차를 가지고 있으며, 서버에서는 LOG 정보를 이용하여 사용자가 원하는 서비스 요청을 통하여 사용자에게 맞는 건강관리 콘텐츠를 전달한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.551-552
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• 2021

본 논문에서는 촬영한 피부 영상(얼굴, 손 등)을 이용한 생체신호(맥박, 호흡, 혈압, 체온 등) 측정 S/W 기술을 제안한다. 기존의 생체신호 측정 기술은 다양한 센서(PPG, 압력 센서, 혈압계, 체온계 등)가 탑재된 측정 장치를 이용하여 상태를 측정하고 이를 진단하는 연구들이 진행되어 왔다. 각 각의 생체신호를 측정하기 위해서는 별도로 구비된 측정 장치들을 이용하여 개별적으로 생체신호를 측정하고 확인하여야 한다. 제안된 기술은 스마트 디바이스에 생체신호 측정 S/W의 설치만으로 카메라로 촬영한 피부 영상의 피부 관심 영역에서 계산된 색상 데이터를 이용하여 다양한 생체신호를 언제 어디서나 실시간으로 측정할 수 있으며, 생체신호 측정 성능 평가 결과 맥박수 2.63%, 호흡수 5.98%, 이완기 혈압 2.48%, 수축기 혈압 5.23% 및 체온 0.25%의 오차율이 계산되었다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1257-1264
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• 2019

The traditional cuff-based method for BP(Blood Pressure) measurement is not suitable for continuous real-time BP measurement techniques. For this reason, the previous studies estimated various blood pressures by fusion with the electrocardiography (ECG) and photoplethysmogram (PPG) sensor signals. However, conventional techniques based on PPG bio-sensing measurement face many challenging issues such as noisy supply fluctuation, small pulsation, and drifting non-pulsatile. This paper proposed a novel BP estimation methods using PPG and ECG sensors, which can be derived from the relationship between PPG and ECG using PTT(Pulse Transit Time) and PWV(Pulse Wave Velocity). Unlike conventional height ratio features, which are extracted on the basis of the peaks in the PPG and ECG waveform. The proposed method can be reliably obtained even if there are missing peaks among the sensed PPG signal. The increased reliability comes from periodical estimation of the peak-to-peak interval time using ECG and PPG. After 250,000 times trials of the blood pressure measurement, the proposed estimation technique was verified with the accuracy of ±28.5% error, compared to a commercialized BP device.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.5 s.170
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• pp.181-188
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• 2005

The purpose of this study is to develop the new cuff improving the accuracy of blood pressure measurement, and to evaluate the performance of the developed system. We added a small bladder to the normal cuff which is called the double bladder system. The developed system for blood pressure measurement was based on the oscillometric method using a double bladder. This system was developed in order to reduce the oscillation noise and to amplify the signal of pure blood pressure An oscillometric signal database based on the developed system were evaluated following the standard ANSI/AAMI/SP10-1992. The correlation coefficients between cuff of double bladder and normal cuff were 0.98 for systolic and 0.94 for diastolic. Mean differences and the standard deviations between average blood pressure of mercury sphygmomanometer and automated sphygmomanometer were -0.7mmHg and 4.9mmHg for systolic, and -1.4mmHg and 5.4mmHg for diatolic, respectively. We conclude that the proposed double bladder based cuff system improves the accuracy of the oscillometric blood pressure measurement. The developed system reduces the error range about $44\~62\%$ for systolic and about $6\~21\%$ for diastolic compared to the recently developed commercially available sphygmomanometers.

• Proceedings of the Korean Society of Applied Pharmacology
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• 1994.04a
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• pp.237-237
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• 1994

혈압강하작용은 oxyindole계 분획에서 제일 강력하였으며, 다음이 hetero-yohimbine계 분획이며, 극성 alkaloid계 분획이 제일 약하였다. 특히, oxyindole계 및 hetero-yohimbine계는 epinephrine의 승압작용을 길항하지 아니하였으므로 이들의 혈압강하작용은 혈관의 수축작용을 길항하는 기전과는 무관함을 알 수 있었다. 반면에 화학적으로는 hetero-yohimbine계 분획에서 hirsuteine, corynantheine 및 hirsutine을 분리하였고 극성 alkaloid 분획에서는 3$\alpha$-dihydrocadambine을 분리 동정하였으며 전자 3종의 alkaloid는 열(10$0^{\circ}C$)에 안정하고 후자는 불안정함을 확인하였다.