• 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.

• Journal of Biomedical Engineering Research
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• v.24 no.4
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• pp.281-286
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• 2003

Blood Pressure is one of the most fundamental Parameters which reflects physical conditions medically and the blood pressure measurement system using oscillometric method is a Non-Invasive Blood Pressure measurement device by measuring arterial Pressure through a cuff. In this paper. we designed a inflatable wrist blood pressure system which measures blood Pressure during the stepping inflation in the wrist cuff. The hardware system consists of a main power unit, a bladder in cuff unit, signal detection units, signal Processing units. a wireless data transmission unit, and a data display unit. We evaluated the reliability of this system by comparing and analyzing systolic. diastolic blood Pressure, and heart rate with other commercial blood Pressure measurement devices. Characteristic ratio values used to determine systolic and diastolic blood Pressure using MAA(Maximum Amplitude Algorithm) were 0.436 and 0.671 respectively.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.2
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• pp.51-56
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• 2021

The brachial systolic blood pressure and pulse pressure are the predictors of cardiovascular disease in individuals over 50 years of age. As the stiffness increases, the reflex amplitude and pressure in the late systole increase, resulting in an increase in left ventricular load and myocardial oxygen demand. Therefore, it is necessary to study how stiffness affects blood pressure. In this study, the blood pressure pulse waves were measured before and after taking the drug, and the blood pressure pulse wave was measured before and after myocardial heart transplantation in patients with heart failure. The correlation between R, L, and C components of the Windkessel model was estimated by increasing blood pressure. As a result of modeling the parameters of the Windkessel model using the curve fitting method, the increase in blood pressure and decrease in systolic rise time were due to the increase in the L component in the RLC Windkessel model. Among the various mechanical characteristics of blood vessels, the most important parameter affecting high BP waveform is the inertance.

• Journal of Preventive Medicine and Public Health
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• v.21 no.1 s.23
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• pp.99-112
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• 1988

Questionnaires and blood pressure measurements were administered to 279 medical school undergraduates in 1987 to investigate the relationship between psychosocial factors and blood pressure as well as reliability and validity of the Framingham Type A Behavior Scale(FTA). The reliability coefficients of SCL-90-R and nh measured by Spearman-Brown haves split test were $0.57{\sim}0.91$. The factors of FTA extracted by principal component analysis were hard-driving competitiveness factor and impatience factor(2-factor solution) . The total score of nh was positively correlated with relative weight and place raised but the correlations were insignificant, and had significantly positive but weak correlations with depression, anxiety, hostility, paranoid, and psychoticism subscales of SCL-90-R. In the univariate analysis of blood pressures, relative weight and family history were significant in systolic pressure in males and economic status was significant in blood pressures in both sexes. For diastolic pressure, relative weight and frequency of alcohol intake were significant in males and relative weight was in females. After controlling relative weight, the frequency of alcohol intake for diastolic pressure and economic status for systolic pressure were significant in males. The important variables selected by stepwise regression analysis were relative weight and economic status for systolic pressure of males and relative weight and the frequency of alcohol intake for diastolic pressure. At the level of alpha 0.1, depression subscale was added to the model, changing coefficient of determination 0.206 to 0.217. In females, economic status and relative weight were selected for systolic pressure and for diastolic pressure body mass index alone, but the model of blood pressure for females was considered to be unstable due to small sample size(56). FTA was unrelated to the blood pressures in both sexes.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.225-232
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• 2009

This study conducted the following experiment to examine effects of cardiovascular function on lumbar stabilization exercise(LSE) in floor or swiss ball. This experiment was conducted to compare heart rate, systolic blood pressure, diastolic blood pressure and peripheral vascular oxygen saturation effects by lumbar stabilization exercise in floor or swiss ball with 18 normal adult and it divided 9 subjects. experiment group (1) is applying LSE on floor group and (2) is applying LSE on swiss ball group. Heart rate was measured by portable heart rate manometer, blood pressure was measured by hemodynamometer, and peripheral vascular oxygen concentration was measured using a computerized NURYTEC measuring apparatus analysis. These result lead us to the conclusion that systolic blood pressure and peripheral vascular oxygen concentration were influenced by LSE. but there was not differential effect between each groups. These results suggest that LSE has the capability to improve heart rate, blood pressure, peripheral vascular oxygen concentration. Consequently, LSE would be lead to increment of cardiovascular function.

• Journal of the Korean Society of Food Science and Nutrition
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• v.25 no.6
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• pp.1045-1049
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• 1996

Purpose of this study was to investigate correlation between blood pressure(systolic and diastolic) and dietary Na, K intake pattern in the family members of normal and hypertension disease patients, besides patients themselves. Mean values of $systolic(126.6\pm18.0$ vs $119.3\pm17.2mmHg)$ and diastolic $(77.6\pm14.6$ vs $71.6\pm12.5mmHg)$ blood pressure in the family members of hypertension patients were significantly higher than those of normal subjects. Systolic blood pressure in normal subject group was positively correlated with age, body weight, sodium in soybean paste, and was negatively correlated with potassium in hotpepper paste, soybean paste and meats. Systolic blood pressure in the family member of hypertension patient was positively correlated with age, body weight, sodium in soybean Paste, and table salt intake, but urinary potassium excretion was negatively correlated. Diastolic blood pressure was positively correlated with age, body weight, and table salt intake, and was negatively correlated with potassium in hotpepper paste and soybean paste in normal subjects groups. In the family members of hypertension patients group, diastolic blood pressure was positively correlated with age, body weight, and table salt intake, and was negatively correlated with sodium in hotpepper Paste and soybean paste and urinary potassium excretion. In total, tendency of negative correlation between Na intake pattern and systolic blood pressure in normal subjects was much obvious than that in the family members of hypertension patients. Urinary potassium excretion in the family members of hypertension patients was also negatively correlated with both systolic and diastolic blood pressure.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.3
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• pp.1-10
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• 2020

In this paper, we propose an algorithm for estimating blood pressure using ECG (Electrocardiogram) and PPG (Photoplethysmography) signals. To estimate the BP (Blood pressure), we generate a periodic input signal, remove the noise according to the differential and threshold methods, and then estimate the systolic and diastolic blood pressures based on the convolutional neural network. We used 49 patient data of 3.1GB in the MIMIC database. As a result, it was found that the prediction error (RMSE) of systolic BP was 5.80mmHg, and the prediction error of diastolic BP was 2.78mmHg. This result confirms that the performance of class A is satisfied with the existing BP monitor evaluation method proposed by the British High Blood Pressure Association.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.199-200
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• 2008

이 논문에서는 백서를 이용한 출혈성 쇼크 실험에서 수집되는 혈압 데이터 분석을 위한 프로그램을 개발하였다. 일반적인 혈압 데이터는 기존 프로그램을 이용하여 분석이 가능하지만 출혈성 쇼크 실험 중에 획득되는 혈압 데이터의 경우 일반적인 경우와 다른 모양의 파형이 나타나는 경우가 있으며 파형의 크기 변동이 크다. 이런 문제들로 인해 기존 프로그램으로 분석하는데 어려움이 있어 출혈성 쇼크 실험에 적합한 프로그램을 개발하였다. 본 논문에서 개발한 프로그램을 이용하여 혈압 파형을 분석한 결과 기존 프로그램에서 잘못 분석된 이완기 혈압을 정상적으로 분석 할 수 있었다. 또한 전체 구간 데이터를 분석하면서, 혈압 파형 크기의 급격한 변화로 인해 잘못된 수축기와 이완기 혈압이 출력되던 문제점을 해결 할 수 있었다. 이렇게 분석된 데이터를 이용하여 추후에 다양한 방법의 혈압분석이 가능할 것으로 사료된다.

• 건강소식
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• v.35 no.3
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• pp.42-43
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• 2011

2008년 한국건강관리협회 건강증진의원을 통해 근로자 건강검진을 받은 50~59세 검진자는 40,786명으로 남성은 23,281명, 여성은 17,505명이다. 그중 심전도 검사를 받은 50대 검진자 40,587명 중 14.6%가 질환의심을 보였고, 혈압 측정을 한 40,742명 중 11.6%가 수축기 혈압에서, 10.9%가 이완기 혈압에서 질환의심을 보였다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.155-160
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• 2023

This paper presents a method for predicting blood pressure using the photoplethysmography signals. First, after measuring the optical blood flow signal, artifacts are removed through a preprocessing process, and a signal for learning is obtained. In addition, weight and height, which affect blood pressure, are measured as additional information. Next, a system is built to estimate systolic and diastolic blood pressure by learning the photoplethysmography signals, height, and weight as input variables through an artificial intelligence algorithm. The constructed system predicts the systolic and diastolic blood pressures using the inputs. The proposed method can continuously predict blood pressure in real time by receiving photoplethysmography signals that reflect the state of the heart and blood vessels, and the height and weight of the subject in an unconstrained method. In order to confirm the usefulness of the artificial intelligence-based blood pressure prediction system presented in this study, the usefulness of the results is verified by comparing the measured blood pressure with the predicted blood pressure.