• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4473-4482
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• 2010

The examination of pulse, which is a typical palpation technique in the oriental medicine, has been used conventional analog system for discrimination of 28 pulses. However, the clipping phenomenon in the pulses, which used same feature extraction technique with ECG signals, has been occurred in analog system due to feature extraction method and over amplification from the input signals. It caused inaccurate to analyze the pulse signals. In this paper, we propose a digital filter design technique based on Prony's method for signal modeling and C-spline interpolation for feature extraction from pulse signal to compensate analog pulse detection system. In addition, we suggest a compensated electronic pulse detection system comprising new pulse analyzing algorithm and shape analysis technique for pulses, which were difficult to use in analog system. The feasibility for new proposed system has been confirmed comparing output signals between electronic pulse detection system having proposed filter design techniques with pulse analyzing algorithm and conventional analog system.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.6
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• pp.135-142
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• 2016

We proposed the new method to estimate the blood pressure with the differential value of the digital arterial pulse waveform and BP relation equation. To get the digital arterial pulse waveform, we use the arterial pulse waveform measurement system that has digital air-pressure sensor device and smart phone. The acquired digital arterial pulse waveforms are classified as hypertension group, normal group, and hypotension group, and we can derive the average differential value between the highest point and lowest point of a single waveform of individuals along with the group. In this study, we found the functional correlation between the blood pressure and differential value as a form of BP relation equation through the regression process on the average of differential value and blood pressure value from a tonometer. The Experimental results show the BP relation equation can give easy blood pressure estimation method with a high accuracy. Although this estimation method has over 66 % error rate and does not give the high level of the accuracy for the diastolic compares to the commercial tonometer, the estimation results for the systolic show the high accuracy that has less than 10 % error rate.

• Journal of Biomedical Engineering Research
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• v.22 no.2
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• pp.133-138
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• 2001

동맥계에서 맥파의 전달속도는 혈관의 긴장도에 따라 결정된다. 동맥혈관의 긴장도는 혈압에 의존적이며 순간적인 혈압의 증가에 따른 혈관긴장도의 변화는 순환기계의 질병을 야기할 수 있다. 본 연구에서는 말초맥파를 이용한 동맥 긴장도 평가 방법의 유용성을 밝히기 위하여 말초맥파 도달시간을 체위에 따라 측정하고, 체위 변화에 따른 정수압 변화와 말초맥파도달시간의 관계를 관찰하였다. 말초맥파도달시간의 측정은 심전도의 QRS파 피크로부터 말초에서 나타나는 광전용적맥파의 최대기울기점까지 시간을 측정하였다. 생체 신호를 아날로그-디지털 변환하여 PC에서 매번 심장주기마다 맥파도달시간을 분석하였으며 결과는 스플라인 보간법을 사용하여 그래프로 결과를 제시하였다. 소프트웨어는 C＋＋을 사용하여 windows 환경에서 운용하였다. 앙아위에서 말초맥파도달시간은 233.38$\pm$1.84 ms이었으며 서있는 자세에서는 226.77$\pm$2.16 ms로 유의하게 감소하였다. 앙아위의 자세에서 손을 수직으로 들어올림에 따라 말초맥파도달시간은 각도에 비례하여 증가하는 특성을 보였다. 이러한 실험결과는 말초맥파도달시간이 동맥계의 일시적인 압력 변화에 매우 민감하게 반응하는 것을 제시하였으며, 고혈압 및 동맥경화가 있는 환자에서 예후를 판단하는 방법으로 유용하게 사용될 것이라 사료된다.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.387-393
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• 2014

In this research, we aimed to investigate the most optimum pulse wave sensor to ear label of live stocks among pulse wave piezo film sensor, conductive textile sensor, photo sensor. As a result of this research with application to 10 cattle, 10 pigs objects with pulse wave piezo film sensor, conductive textile sensor, photo sensor, photo sensor shows less standard deviation to average value than piezo film sensor or conductive textile sensor which means it is the most stable for the cattle. With pigs, piezo film sensor, conductive textile sensor and photo sensor all show stable pulse rate. Thus, to take pulse rate of livestock with curved body and long and dense coat such as cow, photo sensor will be considered as the most efficient mean.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.175-178
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• 2008

본 논문은 생체 신호들 중 데이터 획득이 간편한 심전도와 맥파를 실시간으로 취득하여 기계학습 기법인 SVM (Support Vector Machine)알고리즘과 클러스터링 기법인 k-NN (Nearest Neighbor)알고리즘을 적용한 인간의 감정을 분석하는 시스템에 대한 연구결과를 제시한다.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.515-521
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• 2015

In this study, we tried to analyze arterial stiffness of Jeju female divers who diver into cold water without the assistance of oxygen. For this purpose we measured pulse wave velocity and ankle-brachial index of Jeju female divers and same aged females who didn't have any cardiovascular risk for comparing the vascular stiffness. The results were the following : First, the light-femoral pulse wave velocity of Jeju female divers was significantly lower than normal women of the same ages. Second, Jeju female divers's ABI showed higher tendency than normal same aged women. These result showed that Jeju female divers' body had been completed for adaptation to low temperature and high pressure water environment through a long-term immersion activities in old age, as well as due to higher physical activity levels of Jeju female divers peripheral vascular resistance was not reduced.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1401-1402
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• 2015

급작스레 발병하는 혈관 질환으로 인해 실시간 혈압 추정 연구가 많이 진행되어지고 있다. 본 논문에서는 자기장을 이용하여 혈압을 추정할 수 있는 자계용적맥파 시스템을 개발하였다. 자기장을 이용한 방법은 온도에 강하며 혈류와 상관성이 있기에 사용하였다. 혈압 추정의 과정은 총 3부분 나눌 수 있다. MPG측정, ECG측정 그리고 신호처리 부분이며 신호처리는 PC에서 디지털 필터링 및 PTT 계산을 실시하게 된다. 비교 기준 혈압으로 Omron 혈압계를 사용하여 동시 측정하였으며 결과로 각 PTT간 기준 수축기 및 이완기 혈압을 비교 할 수 있었다.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.407-414
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• 2017

In order to identify an Convergence aerobic exercise's influence on obese female college students' Cardiorespiratory systems and arterial pulse wave Velocity, this study targeted female college students in D University in Y-gu, D-City, and selected total 26 ones having body fat percentage over 30% with no special disease in past and at present and no regular physical activity. After finally confirming their participation in this experiment by completely explaining the purpose of and contents of this experiment and getting the subjects' written contents to participate in the experiment, the investigator randomly arranged the subjects into the exercise group(N=13) and the control group(N=13) and conducted a 12-week aerobic exercise program to the exercise group this study got the following conclusion. First, concerning the body composition's change, the exercise group showed significant reduction in the weight, the body fat percentage, and the abdominal fat percentage. Second, for the respiratory & cardiovascular systems'change, the exercise group showed significant increase in the maximal oxygen uptake, the maximal heart rate, and the maximal breathing capacity. Third, for the arterial pulse wave Velocity's change, the exercise group showed significant reduction in the upper body(right and left hands) and lower body (right and left feet).

• Journal of Digital Policy
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• v.2 no.4
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• pp.25-32
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• 2023

This paper is a study to develop a deep neural network (DNN) blood glucose prediction model based on heart rate (HR) and heart rate variability (HRV) data measured by PPG-based sensors. MLP deep learning consists of an input layer, a hidden layer, and an output layer with 11 independent variables. The learning results of the blood glucose prediction model are MAE=0.3781, MSE=0.8518, and RMSE=0.9229, and the coefficient of determination (R²) is 0.9994. The study was able to verify the feasibility of glycemic control using non-blood vital signs using PPG-based digital devices. In conclusion, a standardized method of acquiring and interpreting PPG-based vital signs, a large data set for deep learning, and a study to demonstrate the accuracy of the method may provide convenience and an alternative method for blood glucose management in dogs.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.1
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• pp.49-54
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• 2020

Cardiovascular disease is the leading cause of death worldwide and is caused by a variety of causes. The highest risk factor for cardiovascular disease is high blood pressure, which has no obvious symptoms, but if left untreated, it causes several complications. In order to treat hypertension, medication and regular exercise are required. In people with high blood pressure, excessive physical activity can put a great strain on the heart and lead to cardiovascular disease. Therefore, there is a need for an exercise intensity monitoring system through PTT measurement that can perform exercise at an appropriate intensity. In this study, we implemented a PTT change monitoring system according to exercise intensity by calculating PTT through ECG and PPG measurement. The implemented system differentiates the R-peak of the ECG and P-peak of the PPG, and calculates the PTT using the time difference between R-peak and P-peak. A running experiment was conducted to monitoring PTT change according to exercise intensity. As a result of the experiment, low intensity PTT is 0.313s, moderate is 0.220s, high is 0.188s, it was confirmed that the PTT decreased as the exercise increase increased.