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Application of a new four-channel vibrometer for determination of atherosclerosis: Further advances towards a handheld device
KTH, School of Technology and Health (STH), Medical Engineering, Medical Imaging.ORCID iD: 0000-0002-2487-7400
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2016 (English)In: 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2016Conference paper (Refereed)
Abstract [en]

Cardiovascular diseases (CD) are the leading cause of death worldwide and their prevalence is expected to rise. Important in the etiology of CD is the stiffening of the large arteries (arteriosclerosis) and plaque formation (atherosclerosis) in the common carotid artery (CCA). Increasing evidence shows that both arteriosclerosis and atherosclerosis can be detected by assessing pulse wave velocity (PWV) in the CCA, and several techniques focus on the detection of PWV in this structure. In previous studies, laser Doppler vibrometry (LDV) was proposed as an approach to detect arterial stiffness. In the present work, a compact four-channel LDV system is introduced for PWV detection. Four phantom arteries were assessed mimicking real life cardiovascular pathologies. Due to the high sensitivity and the increased spatial and temporal resolution of the LDV system, PWV could be assessed, and even local changes in phantom architecture could be detected. The system could potentially be used to detect arteriosclerosis and arterial plaque during cardiovascular screening.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016.
Keyword [en]
arterial stiffness, cardiovascular diseases, laser Doppler vibrometry, plaque, Acoustic wave velocity, Cardiology, Classifiers, Diagnosis, Diseases, Doppler effect, Pathology, Stiffness, Vibration measurement, Wave propagation, Cardio-vascular disease, Common carotid artery, Hand held device, Pulse wave velocity, Spatial and temporal resolutions, Laser Doppler velocimeters
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-194991DOI: 10.1109/MeMeA.2016.7533732ScopusID: 2-s2.0-84984939421ISBN: 9781467391726 (print)OAI: oai:DiVA.org:kth-194991DiVA: diva2:1044234
Conference
11th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016, 15 May 2016 through 18 May 2016
Note

QC 20161102

Available from: 2016-11-02 Created: 2016-11-01 Last updated: 2016-11-02Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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More languages
Output format
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  • text
  • asciidoc
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