• Title/Summary/Keyword: pressure pulse waveform

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An Example of Test on Differences of Pulse Waveform Characteristics at Cun, Guan and Chi (촌, 관, 척 위치의 맥파 특징 차이 검정에 대한 1례)

  • Lee, Jeon;Lee, Yu-Jung;Jeon, Young-Ju;Lee, Hae-Jung;Ryu, Hyun-Hee;Kim, Jong-Yeol
    • Korean Journal of Oriental Medicine
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    • v.14 no.2
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    • pp.107-112
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    • 2008
  • Although the pulse diagnosis position, Guan is apart from Cun or Chi by only $10{\sim}20$ mm at most, traditional medical doctors applies different indent pressures and even they states different pulse images are felt at Cun, Guan and Chi, To support their clinical behaviors, in this study, we tested statistically whether there are differences in pulse waveform measured at these three positions with SphygmoCor system used world widely, A 30 years old female subject without any evidence of cardiovascular diseases was involved in this experiment. Radial pulse waves were recorded at three different positions on left lower arm 10 times at three positions-Cun, Guan and Chi. With ANOVA, we tested whether, among three different positions. there are any differences in 12 parameters of radial pulse waveform and in estimated AIx(Augmentation Index) as an arterial stiffness index extracted from radial pulse waveform. As results, differences in optimal indent pressure h0 were observed at different measuring positions(P<0.001) but not significantly different. And pulse pressure his were found to be different(Chi$22.60{\pm}3.06%,\;18.60{\pm}3.37%\;and\;26.4{\pm}5.02%$ respectively. Consequently. AIx at Gwan seems to be lowest and that at Chi seems to be highest. So. we assert the AIx at Chi is likely to be overestimated. In further studies. we want to examine what make differences in these parameters between measuring positions. And it also seems to be worthy to investigate the relationship between the depth of radial artery and AIx. And, ultimately, we need to determine the best measuring process including measuring position, hold-down pressure, signal quality validation and so on. so to achieve the optimal waveform which represents subject's health condition for both western medicine and traditional medicine.

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Development of Cardiovascular Simulator with Control of Pulse Pressure for Pulse Wave Study (맥압조절이 가능한 맥파 연구용 심혈관계 시뮬레이터 개발)

  • Lee, Ju-Yeon;Kim, Jeauk U.;Shin, Sang-Hoon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.10
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    • pp.204-209
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    • 2014
  • The purpose of this study is to produce a simulator that can control a pulse pressure keeping the pulse wave transfer phenomenon. For this, the elastic tube is combined with a compliance chamber for the vessel part. The simulator is comprised of four parts; a pressure generation part with slider-crank mechanism, a vessel part with resistance controller, water reservoirs and a measurement part. The changes of waveform depending on the location of a chamber is examined to determine the position of a chamber. The effects of a chamber on the pulse pressure and the pulse wave transfer phenomenon were investigated. It showed that the simulator which had the chamber in upstream of tube produces pressure wave, being more similar to the clinical waveform than in downstream of tube. Furthermore, with the chamber, the simulator generates a pulse pressure, being more similar to the normal physiological values than without one. The chamber had little effect on the pulse wave velocity.

A Study on the Waveform Analysis of Left KWAN Pulse Dignosis by the Pressure (단계별(段階別) 가압(加壓)에 따른 좌관부위(左關部位) 맥파(脈波) 변화(變化))

  • Kim, Gyeong-Cheol;Lee, Jeong-Won;Ryu, Kyeong-Ho;Kim, Jong-Hwan;Park, Ju-Yeon
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.13 no.1
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    • pp.19-35
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    • 2009
  • Objectives : In the study on the waveform analysis of radial artery pulse diagnosis, we need to establish fundamentals of contemporary pulse diagnosis research. To achieve certain experimental basis on traditional pulse diagnosis, we have to research the differences of pulse waveform according to pressure (in 5 level) and position (Chon, Gwan, Cheok in radial artery). As a first step, in present thesis, we tried to find the differences of pulse waveform according to pressure. Methods and Results : In this research, we analyzed seven parameters of the waveform at five levels of pressure. The parameters are E(so called 'energy', a representative of pulse strength), h1(height of percussion wave) and h2(height of subincisura). The results were as follows. 1. When we analyzed the change of the waveform according to pressure in the left Gwan, E, hl, h2 and A differed between 1st and 2nd grade, between 1st and 3rd grade, between 1st and 4th grade, between 1st and 5th grade, between 2nd and 3rd grade, between 2nd and 5th grade, between 3rd and 5th grade and between 4th and 5th grade in 95% confidence interval. 2. And t2, t4 differed between 1st and 2nd grade, between 1st and 5th grade, between 2nd and 4th grade, between 2nd and 4th grade, between 2nd and 5th grade, between 3rd and 4th grade, between 3rd and 5th grade and between 4th and 5th grade in 95% confidence interval. 3. W differed between 1st and 3rd grade, between 1st and 4th grade, between 2nd and 3rd grade, between 2nd and 4th grade, between 2nd and 5th grade, between 3rd and 4th grade, between 3rd and 5th grade, and between 4th and 5th grade in 95% confidence interval. 4. And h2/h1 differed between 1st and 4th grade, between 1st and 5th grade, between 2nd and 4th grade, between 2nd and 5th grade, between 3rd and 4th grade & between 3rd and 5th grade in 95% confidence interval. 5. There were differences between 1st and 2nd grade & between 2nd and 5th grade in the case of t4/t2 in 95% confidence interval. And there were differences between 1st and 5th grade, between 3rd and 4th grade, between 3rd and 5th grade & between 4th and 5th grade in the case of W/A in 95% confidence interval. And were differences between 1st and 2nd grade, between 2nd and 3rd grade, between 2nd and 4th grade, between 3rd and 4th grade, between 3rd and 5th grade & between 4th and 5th grade in the case of A/E in 95% confidence interval. Conclusions : As mentioned above, we conclude that the waveform analysis according to five grade pressure in the left Gwan shows the difference of waveform in each grade pressure.

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Waveform Design for Piezo Inkjet via Self- sensing Measurement (셀프 센싱을 이용한 피에조 잉크젯의 파형 설계)

  • Kim, Woo-Sik;Kwon, Kye-Si
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.17 no.4 s.121
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    • pp.333-341
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    • 2007
  • Waveform design method for inkjet printing has been proposed tv pressure wave measurement. The pressure wane inside the inkjet dispenser can be effectively measured by current measurement due to self-sensing capability of PZT. The pressure wave measured from current was verified by commercially availablelaser vibrometer. In order to obtain high speed inkjet droplets, two pulse waveform was designed such that the pressure wane after droplet formation can be minimized.

Development of the Cardiovascular Simulator for Pulse Diagnosis Study (맥진연구를 위한 심혈관계 시뮬레이터의 개발)

  • Lee, Ju-Yeon;Shin, Sang-Hoon
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.16 no.1
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    • pp.19-26
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    • 2012
  • Objectives The aim of this study is to develop a cardiovascular simulator that can reproduce blood pressure pulse and blood flow similar to those of the human body. Methods In order to design a system similar to the human cardiovascular system, the required performances were determined by investigating the hemodynamic characteristics of the heart and the arterial system. Main organ to be imitated is heart in simulator. The rest of the system was minimally designed. Also, a blood pressure and blood flow measurement system was developed for measuring the results. Results The developed system showed blood pressure pulse at similar range of the human aorta. The result waveform include primary wave caused by ventricular systole except reflected wave. Conclusions The blood pressure and blow flow patterns were replicated by the simulator. These patterns were similar to those of the human body. The system will play an important role in studying pulse diagnostics.

Self-sensing measurement of piezo inkjet and its Applications (피에조 잉크젯의 셀프 센싱 검출 및 응용)

  • Kwon, Kye-Si;Kim, Wou-Sik;Kim, Sang-Il;Shin, Seung-Joo;Kim, Seong-Jin
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.366-372
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    • 2007
  • Self-sensing measurement of piezo inkjet and its application are discussed. The pressure wave inside the inkjet dispenser was measured by current measurement due to self-sensing capability of PZT. The pressure wave measured from current was verified by commercially available laser vibrometer. Here, two applications using self-sensing signal were discussed: waveform design for high speed jetting and condition monitoring. For waveform design, two pulse waveform was designed based on self-sensing signal such that the pressure wave after droplet formation can be minimized. For condition monitoring, self-sensing signal was shown to be effective in detecting air bubble trapped in inkjet printhead.

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Signal Change and Compensation of Pulse Pressure Sensor Array Due to Wrist Surface Temperature (손목 피부 온도에 의한 맥센서 어레이(array)의 신호 변동 및 보정)

  • Jun, Min-Ho;Jeon, Young Ju;Kim, Young-Min
    • Journal of Sensor Science and Technology
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    • v.26 no.2
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    • pp.141-147
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    • 2017
  • A pressure sensor in pulse measurement system is a core component for precisely measuring the pulse waveform of radial artery. A pulse sensor signal that measures the pulse wave in contact with the skin is affected by the temperature difference between the ambient temperature and skin surface. In this study, we found experimentally that the signal changes of the pressure sensors and a temperature sensor were caused by the temperature of the wrist surface while the pressure sensor was contacted on the skin surface for measuring pulse wave. To observe the signal change of the pulse sensor caused by temperature increase on sensor surface, Peltier device that can be kept at a set temperature was used. As the temperature of Peltier device was kept at $35^{\circ}C$ (the maximum wrist temperature), the device was put on the pulse sensor surface. The temperature and pressure signals were obtained simultaneously from a temperature sensor and six pressure sensors embedded in the pulse sensor. As a result of signal analysis, the sensor pressure was decreased during temperature increase of pulse sensor surface. In addition, the signal difference ratio of pressure and temperature sensors with respect to thickness of cover layer in pulse sensor was increased exponentially. Therefore, the signal of pressure sensor was modified by the compensation equation derived by the temperature sensor signal. We suggested that the thickness of cover layer in pulse sensor should be designed considering the skin surface temperature.

Novel Detection Algorithm of The Upstroke of Pulse Waveform for Continuously Varying Contact Pressure Method (연속 가압방식의 맥파 측정방법을 위한 시작점 검출 알고리즘 개발)

  • Bae, Jang-Han;Jeon, Young-Ju;Kim, Jong-Yeol;Kim, Jae-Uk
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.2
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    • pp.46-54
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    • 2012
  • We propose a continuously varying contact pressure(CVCP)-adaptive feature extraction algorithm for pulse diagnostic analysis. The CVCP method measures the pulse waveform with continuously increasing contact pressure(CP). This method offer a high resolution signal of the pulse waveform amplitude(PWA) as a function of the contact pressure. Therefore it enables us to overcome the limitation of commercially available pulse-taking devices whose analysis rely on a few number of PWA-CP pairs. We show that an efficient feature extraction algorithm which covers the features of the CVCP-method can be developed by sequentially applying Fast Fourier Transform, peak detection by center-to-edges method, baseline drift removal, detection of the percussion wave upstroke by intersecting tangent method and detection of the analysis region. Finally, by a clinical study with 30 subjects, we show that our CVCP-adaptive feature extraction algorithm detected the upstroke with accuracy of 99.46% and sensitivity of 99.51%, which were about 4.82% and 2.46% increases respectively, compared to a conventional feature extraction method. The proposed CVCP method and the CVCP-adaptive feature extraction algorithm are expected to improve the accuracy in the pulse diagnostic algorithms such as floating/sunken pulse qualities and deficient/excess pulse qualities.

Radial Pulse Wave Detection system for the Korean Medicine (한방용(韓方用) 맥파 검출시스템)

  • Lee, H.J.;Kim, J.W.;Kim, H.O.;Park, Y.B.;Huh, W.
    • Proceedings of the KOSOMBE Conference
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    • v.1991 no.11
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    • pp.66-69
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    • 1991
  • This paper describes a design of transducer for non-invasively detecting pressure radial pulse wave in aterial system and a recording system that for the studing the aterial pulse diagnosis of korean traditional medicine. The mechanism of transducer is composed of sensing mechanism, pressure sensor, conditioning amplifier. The variation of radial pulse pressure in the sensing mechanism is converted to the electric signal by piezo-resistive pressure sensor and it converted to the digital signal after preprocessing via A/D converter. The converted signals inputed to the computer as data files and then it display to the monitor for waveform watching and this datas can be used as the aterial pulse diagnosis data. This system effectively detect non-differential radial pulse wave and we conside that if analizing the recorded radial pulse wave, compared each other, it can be helpful in quantify radial pulse wave diagonosis of the Korean traditional medicine.

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Systolic blood pressure measurement algorithm with mmWave radar sensor

  • Shi, JingYao;Lee, KangYoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1209-1223
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    • 2022
  • Blood pressure is one of the key physiological parameters for determining human health, and can prove whether human cardiovascular function is healthy or not. In general, what we call blood pressure refers to arterial blood pressure. Blood pressure fluctuates greatly and, due to the influence of various factors, even varies with each heartbeat. Therefore, achievement of continuous blood pressure measurement is particularly important for more accurate diagnosis. It is difficult to achieve long-term continuous blood pressure monitoring with traditional measurement methods due to the continuous wear of measuring instruments. On the other hand, radar technology is not easily affected by environmental factors and is capable of strong penetration. In this study, by using machine learning, tried to develop a linear blood pressure prediction model using data from a public database. The radar sensor evaluates the measured object, obtains the pulse waveform data, calculates the pulse transmission time, and obtains the blood pressure data through linear model regression analysis. Confirm its availability to facilitate follow-up research, such as integrating other sensors, collecting temperature, heartbeat, respiratory pulse and other data, and seeking medical treatment in time in case of abnormalities.