No abstract available.
Pulse Wave Analysis

No abstract available.
Pulse Wave Analysis*

No abstract available.
Hyperglycemia ; Pulse Wave Analysis

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 ; Blood Pressure* ; Humans ; Hypertension* ; Pulse Wave Analysis ; Vascular Stiffness*

OBJECTIVES: The role of rheumatoid factor (RF) in vascular stiffness and cardiovascular risk in subjects without joint symptoms remains unclear. We investigated vascular stiffness in subjects without joint symptoms using pulse wave velocity (PWV), calculated Framingham risk scores (FRS), an estimator of cardiovascular risk, and analyzed whether vascular stiffness and FRS were affected by RF. METHODS: Two hundred forty-two subjects were included in this population-based study. RF was quantified with turbid immunometry using a cut-off of RF > 15 IU/ml to denote RF positivity. Information was then obtained on joint symptoms. Brachial-ankle PWV (baPWV) was measured using an automated device. RESULTS: Of the 242 subjects, 15 were RF-positive. RF-positive subjects without joint symptoms had a higher baPWV and FRS than RF-negative subjects without joint symptoms, but the difference did not reach statistical significance. However, when we stratified the subjects into two groups (group A – high RF: RF ≥ 40 IU/ml; group B – low RF: RF < 40 IU/ml), group A showed significantly higher baPWV (1640.7 ± 179.6 ㎝/s vs. 1405.7 ± 225.7 ㎝/s, P = 0.008) and FRS (25.7 ± 4.87 vs. 11.8 ± 9.6, P < 0.001). Multiple regression analysis was used to examine potential confounders, and RF exhibited significant but modest effects on baPWV (adjusted R-squared = 0.038, P = 0.030). CONCLUSIONS: In a sample of the general population without joint symptoms, higher levels of RF were associated with increased vascular stiffness, suggesting a pathophysiologic link between RF and endothelial dysfunction.
Joints* ; Pulse Wave Analysis ; Rheumatoid Factor* ; Vascular Stiffness*

OBJECTIVE: There have been few studies regarding the relationship between arterial stiffness and left ventricular end-diastolic pressure (LVEDP). In the current study, we evaluated the relationship between the LVEDP and arterial stiffness in patients with hypertension (HTN). METHODS: Group I (n=34) included patients with a normal E/E' (< or =8) without HTN, group II (n=31) included patients with an elevated E/E' (>8) without HTN, group III (n=20) included patients with a normal E/E' (< or =8) with HTN, and group IV (n=49) included patients with an elevated E/E' (>8) with HTN. Aortic distensibility (AD) and the right brachial-ankle pulse wave velocity (baPWV) were measured. RESULTS: The mean age was 46.0+/-11.3 years. The mean value of AD was significantly lower in the group III compared to the group I. The group IV showed significantly lower AD compared to the group II. The group III demonstrated higher baPWV compared to the group I (1422+/-182 cm/sec vs. 1186+/-178 cm/sec, p<0.01), and the group IV showed higher baPWV compared to the group II (1456+/-228 vs. 1259+/-238 cm/sec, p<0.01). However, AD and baPWV were not significantly different between the group I and II, and between the group III and IV. The E/E' ratio showed a weak negative correlation with AD and a weak positive correlation with baPWV. CONCLUSION: Patients with hypertension showed a lower AD and a higher baPWV compared to those with normal blood pressure independent of the LVEDP. But the correlation between E/E' ratio and arterial stiffness suggests that a high LVEDP might not significantly influence arterial stiffness.
Blood Pressure ; Humans ; Hypertension ; Pulse Wave Analysis ; Vascular Stiffness

Cuffless technique holds great promise to measure blood pressure (BP) in an unobtrusive way, improving diagnostics and monitoring of hypertension and its related cardiovascular diseases, and maximizing the independence and participation of individual. Pulse transit time (PTT) has been the most commonly employed techniques for cuffl ess BP estimation. Many studies have been conducted to explore its feasibility and validate its performance in the clinical settings. However, there is still issues and challenges ahead before its wide application. This review will investigate the understanding and development of the PTT technique in depth, with a focus on the physiological regulation of arterial BP, the relationship between PTT and BP, and the summaries of the PTT-based models for BP estimation.
Blood Pressure ; Cardiovascular Diseases ; Hypertension ; Pulse Wave Analysis

Continuous and non-invasive measurement of blood pressure (BP) is of great importance particularly for patients in critical state. To achieve continuous and cuffless BP monitoring, pulse transit time (PTT) has been reported as a potential parameter. Nevertheless, this approach remains very sensitive, cumbersome and disagreeable in ambulatory measurement. This paper proposes a new approach to estimate blood pressure through PCG signal by exploring the correlation between PTT and diastolic duration (S21). In this purpose, an artificial neural network was developed using as input data: (systolic duration, diastolic duration, heart rate, sex, height and weight). According to the NN decision, the mean blood pressure was measured and consequently the systolic and the diastolic pressures were estimated. The proposed method is evaluated on 37 subjects. The obtained results are satisfactory, where, the error in the estimation of the systolic and the diastolic pressures compared to the commercial blood pressure device was in the order of 6 .48 ± 4.48 mmHg and 3 .91 ± 2.58 mmHg, respectively, which are very close to the AAMI standard, 5 ± 8 mmHg. This shows the feasibility of estimating of blood pressure using PCG.
Blood Pressure ; Heart Rate ; Humans ; Methods ; Pulse Wave Analysis

BACKGROUND AND OBJECTIVES : Pulse wave velocity (PWV) is an ideal indicator of arterial stiffness. This study investigated arterial stiffness of different vascular regions in patients suffering with Behcet's disease (BD), and we assessed whether arterial stiffness was affected by the clinical parameters of BD. Subjects and METHODS : This study included 53 BD patients (mean age: 38+/-8 years) and 65 healthy controls (mean age: 38+/-8 years) who were without any known cardiovascular diseases. After recording the clinical parameters of the BD patients, pulse wave velocity was measured with an automated device in the heart-femoral, heart-carotid, heart-brachial and femoral-ankle segments. RESULTS : Patients with BD had significantly higher PWV values than did the controls in all the regional arterial segments. The PWV values were not correlated with the duration of the disease, corticosteroid use or the presence of active disease at the time of examination. The clinical variables related to severe BD manifestations, which included severe disease, male gender, vascular lesions or immunosuppressant use, were partly associated with increased PWV on the univariate analysis, but any statistical significance for these clinical variables was lost in all the regional arterial segments on multivariate analysis. In addition, multivariate regression analysis revealed that age and the mean arterial pressure were independently associated with increased PWV in most regional arterial segments for BD patients. CONCLUSION : The patients with BD had significantly increased arterial stiffness in all the regional arterial segments when compared with the healthy controls. Longitudinal studies that employ a large population are required to determine the pathophysiologic and prognostic implications of increased arterial stiffness in BD.
Arterial Pressure ; Arteries ; Cardiovascular Diseases ; Humans ; Longitudinal Studies ; Male ; Multivariate Analysis ; Pulse Wave Analysis ; Vascular Stiffness*

Characteristics in pulse wave signals (PWSs) include the information of physiology and pathology of human cardiovascular system. Therefore, identification of characteristic points in PWSs plays a significant role in analyzing human cardiovascular system. Particularly, the characteristic points show personal dependent features and are easy to be affected. Acquiring a signal with high signal-to-noise ratio (SNR) and integrity is fundamentally important to precisely identify the characteristic points. Based on the mathematical morphology theory, we design a combined filter, which can effectively suppress the baseline drift and remove the high-frequency noise simultaneously, to preprocess the PWSs. Furthermore, the characteristic points of the preprocessed signal are extracted according to its position relations with the zero-crossing points of wavelet coefficients of the signal. In addition, the differential method is adopted to calibrate the position offset of characteristic points caused by the wavelet transform. We investigated four typical PWSs reconstructed by three Gaussian functions with tunable parameters. The numerical results suggested that the proposed method could identify the characteristic points of PWSs accurately.
Algorithms ; Heart Rate ; Humans ; Normal Distribution ; Pulse Wave Analysis ; methods ; Wavelet Analysis