1.Relationship between Cardiac Autonomic Neuropathy and Brachial-ankle Pulse Wave Velocity in Type 2 Diabetics.
Endocrinology and Metabolism 2011;26(1):33-35
No abstract available.
Pulse Wave Analysis
3.Metabolic syndrome and pulse wave velocity.
Kyung Mook CHOI ; Baik Sei HYUN
Korean Journal of Medicine 2005;68(2):130-132
No abstract available.
Pulse Wave Analysis*
4.Development of testing device for dynamic performance of radial artery pulse force transducer and electropulsogragh.
Chinese Journal of Medical Instrumentation 2014;38(3):171-176
Based on the dynamic performance of radial force sensor detection and TCM pulse waveform technology, the paper described a kind of testing equipment being developed which tests both radial force sensor performance and the dynamic performance of the instrument of pulse detection. The device covers requirements for static and dynamic performance test of the radial artery pulse wave force sensor and pulse diagnosis instrument, thus it makes a change to compute frequency response of the sensor by directly measurement.
Equipment Design
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Humans
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Pulse
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Radial Artery
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Transducers
5.Cases Report of Ryokankyomishingeninto for Patients Presenting Floating Pulse
Nobuyasu SEKIYA ; Yoshiro HIRASAKI ; Keiko OGAWA ; Masaki RAIMURA ; Sumire HASHIMOTO ; Hirokuni OKUMI ; Yumiko KIMATA ; Akito HISANAGA ; Katsutoshi TERASAWA
Kampo Medicine 2009;60(6):641-646
The source of ryokankyomishingeninto, which has been used for chronic respiratory and nasal diseases by using “sunken pulse” as an indication, is the Jin-kui-yao-lue text. We, however, experienced a case of allergic rhinitis presenting with “floating pulse” successfully treated with ryokankyomishingeninto. On the basis of this case, we investigated efficacy with ryokankyomishingeninto in 16 other patients who visited our outpatient clinic from January 2007 to March 2008, and who had the all of same remarks in pulse diagnoses and nasal symptoms, such as nasal obstruction, and rhinorrhea or respiratory symptoms such as wheeze and shortness of breathing. As a result, ryokankyomishingeninto improved symptoms in all these patients. All the adult cases had a “stuck feeling in pit of stomach”. Furthermore, they had either a “water dabbling sound in the stomach”, or “cold area on the epigastrium”.
symptoms <1>
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Nasal
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Pulse taking
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Cases
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Respiratory
6.The research and design of non-invasive cardiac output detector based on pulse graph theory.
Chinese Journal of Medical Instrumentation 2011;35(5):344-347
This cardiac output detector uses AT89C52 as the core MCU, carries the pulse signal sampling from pulse sensor into the SCM after A/D conversion, and then figures out the cardiac output value and displays it on the LED. Software analysis works out the cardiac output value through five-point difference threshold for feature location of the pulse graph method theory. Experiment results show that the normal measured cardiac output is 5.411 L/min, the standard deviation of 0.873, while the catheter method as the gold standard of the mean 5.51 L/min, the standard deviation of 1.09. This system can meet the testing requirements of normal cardiac output. It is a non-invasive, convenient and new cardiac output measurement instrument with continuous testing, easy operation and low cost.
Cardiac Output
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Monitoring, Physiologic
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instrumentation
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methods
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Pulse
7.Development of detector for pulse and fill-liquid in one body.
Chinese Journal of Medical Instrumentation 2009;33(3):200-201
This paper describes the principle of detector for pulse and fill-liquid in one body, which is used to detect the body pulse and the number of liquid-drop within one minute when filling liquid. The detector works exactly and rapidly. It makes doctors and nurses disentangle from the annoyed daily grinds.
Equipment Design
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Infusions, Parenteral
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instrumentation
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Pulse
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Rheology
8.Effects of Age on Arterial Stiffness and Blood Pressure Variables in Patients with Newly Diagnosed Untreated Hypertension.
Soo Kyung CHO ; Sang Ki CHO ; Kye Hun KIM ; Jae Yeong CHO ; Hyun Ju YOON ; Nam Sik YOON ; Young Joon HONG ; Hyung Wook PARK ; Ju Han KIM ; Youngkeun AHN ; Myung Ho JEONG ; Jeong Gwan CHO ; Jong Chun PARK
Korean Circulation Journal 2015;45(1):44-50
BACKGROUND AND OBJECTIVES: To investigate the impact of age on arterial stiffness and blood pressure (BP) variables in newly diagnosed untreated hypertension (HT). SUBJECTS AND METHODS: A total of 144 patients with newly diagnosed untreated HT were divided into two groups: young group (age < or =50 years, n=71), and old group (age >50 years, n=73). BP variables were measured on office or 24 hours ambulatory BP monitoring (ABPM). Parameters of arterial stiffness were measured on pulse wave velocity (PWV). Pulse wave analysis (PWA) was compared. RESULTS: Although office BP and pulse pressure (PP) were significantly (p<0.05) higher in the young group than in the old group, BP and PP on ABPM were not significantly different. Central systolic BP and PP, augmentation pressure, augmentation index on PWA, and PWV were significantly higher or faster in the old group compared to that in the young group. Age showed significant positive correlation with both PWV and PWA variables in the young group with HT. However, age only showed significant positive correlation with PWV in the old group with HT. In the young group with HT, PWA variable showed better correlation with age than PWV. CONCLUSION: Considering BP levels on ABPM, office BP is prone to be overestimated in young patients with HT. Parameters of arterial stiffness measured by PWV and PWA were more affected by age rather than by BP level in patients with HT. Therefore, PWA variable might be a more sensitive marker of arterial stiffness in young patients with HT. However, PWV might be a better marker for old patients with HT.
Aging
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Blood Pressure*
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Humans
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Hypertension*
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Pulse Wave Analysis
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Vascular Stiffness*
9.Effects of Aging on Arterial Stiffness in Normotensives
Journal of Medical Research 2008;0(1):102-107
Introduction: Recent researches have determined that decreased arterial elasticity by age is one of the Cardiovascular risk factors. The modification of arterial elasticity can be evaluated accurately by measuring PWV.\r\n', u'Objectives: To determine the age - related change in the arterial stiffness in healthy people and factors that change the arterial stiffness. \r\n', u'Subjects and methods: The study group consisted of 123 normotensive subjects, including 65 men and 58 women (mean age 51.2 \xb1 13.9 years). Aortic elasticity was assessed by measuring carotid - femoral pulse PWV using a Complior Colson device with 2 pressure transducers.\r\n', u'Results: The mean PWV in both gender groups was 10.2 \xb1 1.6 m/s. There was no significant difference in both the right and the left side of the body, as well as genders regarding PWV calculation. PWV was correlated with age (r = 0.56) and mean blood pressure index (r = 0.6). If PWV was measured on the left side, subjects with plaques in common carotid artery (proved by echo) had a higher PWV than those without carotid plaque presence. In returns, there was no significant difference in terms of PWV, if it was measured on the right side. The arterial PWV in normal subjects with CT/HDL index of more than 5 is higher than those with CT/HDL index of less than 5. There was no correlation between arterial PWV and hyper - cholesterolemia. \r\n', u'Conclusions: 1. Mean arterial PWV in the healthy subjects was. 10.2 \xb1 1.6 m/s. 2. Arterial PWV had a positive correlation with age, mean blood pressure index and CT/HDL index.\r\n', u'
Arterial stiffness
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Carotid-femoral pulse wave velocity (PWV)
10.Interference Detection and Signal Quality Assessment of Pulse Signals.
Aihua ZHANG ; Fangyuan WEI ; Yongxin CHOU ; Xiaohua YANG
Chinese Journal of Medical Instrumentation 2015;39(4):235-239
Pulse signal contains a wealth of biological and pathological information. However, it is susceptible to the influence of various factors which results in poor signal quality, and causes the device to generate false alarms. First the pulse signals are processing into discrete symbols, and then compare the test signal with the pulse template by using Dynamic Time Warping (DTW) to get the threshold for which can be used to find the interference segment of the test signal. By analyzing the DTW distance of the pulse signal, we can get the interference degree of the signal, then the quality level of the plus signal can be defined by the relationship between the interference degree and quality of the signal. The 1 055 group pulse signals provided by MIMIC II physiological database are used to train and test the signal quality assessment algorithms, and compared with other existing algorithms. The results show that the algorithms can accurately detect interference segments in pulse signal and reflect the quality of it.
Algorithms
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Heart Rate
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Humans
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Pulse
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Signal Processing, Computer-Assisted