Effect of prolonged pressure on flowmotion: An investigation using an in vivo rat model

Zengyong Li, Wing Cheung Eric Tam, Maggie P C Kwan, Arthur F T Mak, Chun Lap Samuel Lo, Mason C P Leung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

The objectives of this study is to assess the effect of prolonged loading on the skin blood flowmotion in rats as measured by Laser Doppler flowmetry (LDF) using wavelets transform and power spectral in the rat skin microcirculation. External pressure of 13.3kPa (100 mmHg) was applied to the trochanter area and the distal lateral tibia of Sprague-Dawley rats via two specifically designed pneumatic indentors. The loading duration was 6 hours/day for 4 consecutive days. The results showed that 1) spontaneous rhythmic activities were present in skin blood flow of anesthetized rats, 2) significant decrease of flowmotion power (p=0.023 for trochanter and p=0.043 for tibia) was found in the frequency range of 0.01-0.04Hz after prolonged loading. Our results suggested that reduced vasomotion in the frequency of 0.01-0.04 Hz might be involved in the mechanisms leading to pressure ulcer formation.
Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages597-600
Number of pages4
Volume7 VOLS
Publication statusPublished - 1 Dec 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 1 Sep 20054 Sep 2005

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period1/09/054/09/05

Keywords

  • Flowmotion/vasomotion
  • Pressure ulcer
  • Prolonged loading
  • Skin microcirculation
  • Wavelets transform

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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