Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107787
PIRA download icon_1.1View/Download Full Text
Title: Vasomotion heterogeneity and spectral characteristics in diabetic and hypertensive patients
Authors: Zhao, L 
Liu, S 
Liu, Y 
Tang, H 
Issue Date: Jan-2024
Source: Microvascular research, Jan. 2024, v. 151, 104620
Abstract: Vasomotion refers to the spontaneous oscillation of blood vessels within a frequency range of 0.01 to 1.6 Hz. Various disease states, including hypertension and diabetes, have been associated with alterations in vasomotion at the finger, indicating potential impairment of skin microcirculation. Due to the non-linear nature of human vasculature, the modification of vasomotion may vary across different locations for different diseases. In this study, Laser Doppler Flowmetry was used to measure blood flow motion at acupoints LU8, LU5, SP6, and PC3 among 49 participants with or without diabetes and/or hypertension. Fast Fourier Transformation was used to analyze noise type while Hilbert-Huang Transformation and wavelet analysis were applied to assess Signal Noise Ratio (SNR) results. Statistical analysis revealed that different acupoints exhibit distinct spectral characteristics of vasomotion not only among healthy individuals but also among patients with diabetes and/or hypertension. The results showed strong heterogeneity of vasomotion among blood vessels, indicating that the vasomotion measured at a certain point may not reflect the real status of microcirculation.
Keywords: Diabetes
Hypertension
Laser Doppler Flowmetry
Stochastic resonance
Vasomotion
Publisher: Academic Press
Journal: Microvascular research 
ISSN: 0026-2862
EISSN: 1095-9319
DOI: 10.1016/j.mvr.2023.104620
Rights: © 2023 Elsevier Inc. All rights reserved.
This is the preprint version of the following article: Zhao, L., Liu, S., Liu, Y., & Tang, H. (2024). Vasomotion heterogeneity and spectral characteristics in diabetic and hypertensive patients. Microvascular Research, 151, 104620 which is available at https://doi.org/10.1016/j.mvr.2023.104620.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
97-MR-zhaoliangjing.pdfPreprint version2.72 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Author’s Original
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

80
Citations as of Nov 10, 2025

Downloads

61
Citations as of Nov 10, 2025

SCOPUSTM   
Citations

2
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

2
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.