Literature DB >> 27079231

Pulse Waveform Analysis of Chinese Pulse Images and Its Association with Disability in Hypertension.

Nathalia Gomes Ribeiro Moura1, Arthur Sá Ferreira2.   

Abstract

Hypertension affects functional capacity and quality of life. Pulse wave analysis (PWA) quantifies the pulse waveform's propagation and its changes resulting from arterial remodeling. Pulse image analysis (PIA) in traditional Chinese medicine contributes to pattern differentiation and therapeutic intervention. This protocol study evaluates the relationships between the parameters of both PWA and PIA to identify patterns in patients with hypertension and the associations of those patterns with functional capacity. In this observational, cross-sectional study protocol 40 patients were subjected to clinical and laboratorial examinations to assess the risk factors for cardiovascular disease and pattern differentiation. PWA was noninvasively performed at the radial artery to estimate the pulse wave's velocity, arterial compliance, and reflection index. PIA using the "simultaneous pressing" method was performed to assess nine indicators. Handgrip strength and physical activity was assessed as functional outcomes. We hypothesized that interactions between patterns and pulse images affect the PWA parameters and that the functional outcomes are weakly associated with personal, hemodynamic and risk factors for cardiovascular disease. Performing a PIA in patients with hypertension might allow the identification of early target-organ damage, standardization of the PIA based on the PWA, and unification of the pulse diagnosis.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  functional capacity; hypertension; rehabilitation; study protocol; traditional Chinese medicine

Mesh:

Year:  2015        PMID: 27079231     DOI: 10.1016/j.jams.2015.06.012

Source DB:  PubMed          Journal:  J Acupunct Meridian Stud        ISSN: 2005-2901


  6 in total

1.  Research on recognition and classification of pulse signal features based on EPNCC.

Authors:  Haichu Chen; Chenglong Guo; Zhifeng Wang; Jianxiao Wang
Journal:  Sci Rep       Date:  2022-04-25       Impact factor: 4.996

2.  A Wearable and Real-Time Pulse Wave Monitoring System Based on a Flexible Compound Sensor.

Authors:  Xiaoxiao Kang; Jun Zhang; Zheming Shao; Guotai Wang; Xingguang Geng; Yitao Zhang; Haiying Zhang
Journal:  Biosensors (Basel)       Date:  2022-02-20

3.  A Study of Logistic Regression for Fatigue Classification Based on Data of Tongue and Pulse.

Authors:  Yu Lin Shi; Tao Jiang; Xiao Juan Hu; Ji Cui; Long Tao Cui; Li Ping Tu; Xing Hua Yao; Jing Bin Huang; Jia Tuo Xu
Journal:  Evid Based Complement Alternat Med       Date:  2022-03-05       Impact factor: 2.629

4.  Pulse Wave Cycle Features Analysis of Different Blood Pressure Grades in the Elderly.

Authors:  Xiao-Juan Hu; Lei Zhang; Jia-Tuo Xu; Bao-Cheng Liu; Jian-Ying Wang; Yan-Long Hong; Li-Ping Tu; Ji Cui
Journal:  Evid Based Complement Alternat Med       Date:  2018-05-22       Impact factor: 2.629

5.  Radial Pulse Wave Signals Combined with Ba-PWV for the Risk Prediction of Hypertension and the Monitoring of Its Accompanying Metabolic Risk Factors.

Authors:  Zhen Qi; Zhi-Yue Zhao; Jia-Tuo Xu; Li-Ping Zhu; Yu Zhang; Yi-Min Bao; Zhi-Feng Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2020-04-29       Impact factor: 2.629

6.  A 3D Wrist Pulse Signal Acquisition System for Width Information of Pulse Wave.

Authors:  Chuanglu Chen; Zhiqiang Li; Yitao Zhang; Shaolong Zhang; Jiena Hou; Haiying Zhang
Journal:  Sensors (Basel)       Date:  2019-12-18       Impact factor: 3.576

  6 in total

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