Discrimination of vascular aging using the arterial pulse spectrum and machine-learning analysis-Reference-Cited by-同舟云学术

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Discrimination of vascular aging using the arterial pulse spectrum and machine-learning analysis

Published:2022-01 Issue: Volume:139 Page:104240
ISSN:0026-2862
Container-title:Microvascular Research
language:en
Short-container-title:Microvascular Research

Author:

Hsiu Hsin,Liu Ju-Chi,Yang Chang-Jen,Chen Hsi-Sheng,Wu Mai-Szu,Hao Wen-Rui,Lee Kang-Yun,Hu Chaur-Jong,Wang Yuan-Hung,Fang Yu-Ann

Publisher

Elsevier BV

Subject

Cell Biology,Cardiology and Cardiovascular Medicine,Biochemistry

Reference26 articles.

1. Predicting arterial stiffness from the digital volume pulse;Alty;IEEE Trans. Biomed. Eng.,2007

2. Effect of increasing heart rate on finger photoplethysmography fitness index (PPGF) in subjects with implanted cardiac pacemakers;Aminuddin;PLoS One,2018

3. Characteristics of beat-to-beat photoplethysmography waveform indexes in subjects with metabolic syndrome;Chang;Microvasc. Res.,2016

4. Characteristics of spectral indexes of the blood pressure waveform in patients with breast cancer;Chen;Blood Press Monit.,2017

5. Pulse wave velocity distribution in a cohort study: from arterial stiffness to early vascular aging;Cunha;J. Hypertens.,2015

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