• 제목/요약/키워드: 혈압측정

검색결과 806건 처리시간 0.032초

Differences in Blood Pressure according to Body Position by Age Groups (연령별 신체자세에 따른 혈압의 차이분석)

  • Song, Mi-Ryeong;Lee, Young-Shin
    • Journal of Korean Biological Nursing Science
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    • 제13권3호
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    • pp.238-244
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    • 2011
  • 목적: 이 연구의 목적은 성인의 연령군별 측정자세 변화에 따른 혈압의 변화 정도를 살펴보기 위한 것이다. 방법: 이 연구는 탐색적 조사연구로서 연구대상자는 20세에서 59세까지 성인 136명을 대상으로 만성질병이 없고 연구 목적과 연구방법에 대한 설명을 듣고 연구 참여에 동의한 자를 대상으로 하였다. 수집된 자료는 연령군을 나누어 앙와위, 좌위, 직립위에서 혈압의 차이를 paired t-test로 분석하였으며, 연령군에 따라 운동여부와 건강상태에 차이가 있었으므로 연령과 측정자세에 따른 혈압 변화의 상호작용을 확인하기 위해 repeated measure ANCOVA를 실시하였다. 결과: 초기 성인군(20대와 30대)에서는 자세의 변화에 따른 수축기 및 이완기 혈압의 변화가 없었으나40대와 50대에서는 수축기 혈압에서 앙와위에 비해 좌위(p=.007, p<.001)와 직립위(p<.001, p=.001)에서 유의한 감소가 있었다. 수축기(p=.004)와 이완기(p=.019) 모두에서 연령과 측정자세에 따른 혈압 변화에 유의한 상호작용이 있어 연령군에 따라 자세로 인한 혈압의 변화에 유의한 차이가 있는 것으로 나타났다. 결론: 40세 이후에는 혈압측정시에 자세를 기록하는 것이 중요하며 중년기 이후 자세의 변화에 따른 혈역동의 변화에 특별한 주의를 기울일 필요성이 있다.

Design and Implementation of Real-time Blood Pressure Measuring System using Smartphone (스마트폰을 이용한 실시간 혈압측정 시스템의 설계 및 구현)

  • Gil, Yeongjoon;Lee, Jungtae
    • KIISE Transactions on Computing Practices
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    • 제21권3호
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    • pp.192-214
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    • 2015
  • Blood pressure may be measured using physiological signals, such as ECG, PTT, and $SpO_2$. In this study, we designed and implemented a portable real-time blood pressure measuring system, which can access the Internet simultaneously using the IPv4 / IPv6 protocol. In addition, we presented a model for the calculation of systolic and diastolic blood pressure in a real-time environment. Through clinical experiments on 28 subjects, the blood pressure measuring system was shown to satisfy the requirements of Grade B level of the BHS (British Hypertension Society) certification.

Analysis of Blood pressure influence factor Correction for Photoplethysmography Fusion Algorithm Calibration (광전용적맥파 융합 알고리즘 보정을 위한 혈압 영향인자 상관관계 분석)

  • Kim, Seon-Chil
    • Journal of the Korea Convergence Society
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    • 제10권2호
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    • pp.67-73
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    • 2019
  • The blood pressure measurement is calculated as a value corresponding to the pressure of the blood vessel using the pressure from the outside for a long time. Due to the recent miniaturization of measurement equipment and the ICT combination of personal healthcare systems, a system that enables continuous and real-time measurement of blood pressure with a sensor is required. In this study, blood pressure was measured using pulse transit time using Photoplethysmography. In this study, blood pressure was estimated by using systolic blood pressure. And it is possible to make measurement only with PPG itself, which can contribute to making a micro blood pressure measuring device. As a result, systolic blood pressure and PPG's S1-P and P-S2 were used to analyze the possibility of blood pressure estimation.

Development of Blood Pressure Estimation Methods Using The PPG and ECG Sensors (PPG 및 ECG 센서를 이용한 혈압추정 기법 개발)

  • Park, Hyun-Moon;Lee, Jung-Chul;Hwang, Tae-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • 제14권6호
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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.

Developement of Bio-Signal Measurement S/W using Skin Image (피부 영상을 이용한 생체신호 측정 S/W 개발)

  • Park, Jin-Soo;Hong, Kwang-seock
    • Proceedings of the Korea Information Processing Society Conference
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    • 한국정보처리학회 2021년도 춘계학술발표대회
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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.

Magnetic-plethysmograph system development for real-time blood pressure estimate (실시간 혈압 추정을 위한 자계용적맥파 시스템 개발)

  • Kang, Seung-Jin;Lee, Kang-Hwi;Lee, Young-Jae;Kim, Kyeung-Nam;Lee, Jeong-Whan
    • Proceedings of the KIEE Conference
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    • 대한전기학회 2015년도 제46회 하계학술대회
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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.

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Analysis of the Convergence Algorithm Model for Estimating Systolic and Diastolic Blood Pressure Based on Two Photoplethysmography (두 개의 광전용적맥파 기반의 수축기 혈압과 이완기 혈압 추정 융합 알고리즘 모델 분석)

  • Kim, Seon-Chil;Cho, Sung-Hyoun
    • Journal of the Korea Convergence Society
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    • 제10권8호
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    • pp.53-58
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    • 2019
  • Recently, product research has been continuously conducted to enhance accessibility to blood pressure measurement for the purpose of healthcare for the chronic patient. In previous studies, electrocardiogram (ECG) and photoelectric pulse wave (PPG) are analyzed to calculate systolic and diastolic blood pressure. The problem is the development of analysis algorithms for accuracy and reproducibility. In this study, in the development stage of a micro blood pressure measuring device, the size of the device was reduced and the measurement method was simplified, while the algorithm was to extract systolic blood pressure (SBP) using only two PPGs and obtain diastolic blood pressure (DBP). The difference value of PPG, DF_P, is inversely related to SBP, and has a proportional relationship with DBP, which can be leaked by algorithm, and DBP can be tracked through SBP.

The Development of Pc Based EGG-NIBP Patient Monitor (PC 기반의 심전도-비관혈식 혈압 환자감시장치의 개발)

  • 김남현;김경하;주기춘;라상원;송광석;한민수;김성민;이건기;최태영
    • Journal of Biomedical Engineering Research
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    • 제20권4호
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    • pp.461-469
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    • 1999
  • In this paper, an ECG-NIBP patient monitor is designed. This is an essential equipment to measure and monitor patient's physical condition - electrocardiogram(ECG) wave, heart rate(HR), and noninvasive blood pressure(NIBP) - in ICU, CCU, and operating room. The ECG is an electrical waveform produced by relaxation and contraction of the cardiac muscle. Most physicians diagnose patient's cardiac states from ECG pattern. A blood pressure is one of the clinical indexes measured in a emergency room or operating room. In this paper, the blood pressure is measured in artery by using the nonivasive oscillometric method. The developed patient monitor was inspected and compared with other instruments in operating rooms. The results were 1bpm of maximum difference in the heart rate, 15mmHg in the systolic pressure, 16mmHg in the diastolic pressure, and 25mmHg in the mean blood pressure. But the total results were 0.15bpm of the mean difference in the heart rate, 5mmHg in the systolic pressure, 10mmHg in the diastolic pressure, and 9mmHg in the mean blood pressure. The designed ECG-NIBP patient monitor can measure the ECG wave, HR, and BP. And the multi-tasking module of pulse oximetry . respiration . temperature monitor will be added in the near future.

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Survey of Knowledge on Hypertension among the Parents of Elementary School Students (초등학생 학부모의 고혈압 관련 지식에 관한 조사)

  • Kim, Jin-Soon
    • Journal of agricultural medicine and community health
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    • 제30권1호
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    • pp.29-38
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    • 2005
  • Objectives: Hypertension is the most important risk factors for the cerebrovascular diseases, and also for coronary heart diseases, it is therefore very important that the people have a knowledge on nature of hypertension and it's high risk in order to prevent and detect the hypertension as early as possible. Methods: This study was done to find out the knowledge on hypertension of 434 parents of elementary school students from Kimjae city, Jonbuk province, they were parents in grade 4, 5 and 6 attending two elementary schools. The survey took 10 days from November 20 to November 30, 2003. Results: first, The highest correct answer(94.5%) was "obesity is risk factors for hypertension", followed by "hypertension is closely related with hereditary factors(91.0%) and "high sodium intake is associated with high blood pressure"(85.7%). The lowest correct answer(77.4%) was the classification of blood pressure level between normal and high. Second, Rate of blood pressure measurement for fathers was 53.7% and 54.8% in mothers. Awareness of own blood pressure by fathers was 84.1 %, while 91.1% by mothers. Third, According to blood pressure level reported by parents, fathers with normal blood pressure was 59.2%, high normal blood pressure was 12.2%, while hypertension was 28.6%. It revealed that prevalence of hypertension of fathers was higher than mother (normal: 74.5%, high normal: 7.7%, hypertension: 18.2%). Conclusions: From the results of this study, it is important to strengthen the health education about hypertension for community people and also school students.

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Artificial intelligence-based blood pressure prediction using photoplethysmography signals

  • Yonghee Lee;YongWan Ju;Jundong Lee
    • Journal of the Korea Society of Computer and Information
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    • 제28권11호
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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.