Application of learning signal processing system on RBC velocity measurement using laser Doppler technique

Yutaka Fukuoka, Eiji Okada, Hideo Matsuki, Haruyuki Minamitani

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The application of a learning signal processing system to blood velocity measurement is described. The system has been developed to increase the accuracy of the measurement at low S/N (signal-to-noise) ratio. An artificial neural network learns the pulsatile fluctuation of the velocity in order to predict the succeeding velocity signals adaptively. The velocity of red blood cells (RBCs) in microvessels of rat mesentery was measured by using a microscopic laser Doppler velocimeter. Cardiac pulsation apparently affects the RBC velocity even in arterioles; however, detection of the pulsatile component in the RBC velocity fluctuation using the conventional signal processor is very difficult because of its low S/N ratio. In contrast, the learning signal processing system which is pretrained can detect the component at low S/N ratio.

    Original languageEnglish
    Title of host publicationBiomedical Engineering Perspectives
    Subtitle of host publicationHealth Care Technologies for the 1990's and Beyond
    PublisherPubl by IEEE
    Pages1410-1412
    Number of pages3
    Editionpt 3
    ISBN (Print)0879425598
    Publication statusPublished - 1990 Dec 1
    EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
    Duration: 1990 Nov 11990 Nov 4

    Publication series

    NameProceedings of the Annual Conference on Engineering in Medicine and Biology
    Numberpt 3
    ISSN (Print)0589-1019

    Other

    OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    CityPhiladelphia, PA, USA
    Period90/11/190/11/4

    ASJC Scopus subject areas

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

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  • Cite this

    Fukuoka, Y., Okada, E., Matsuki, H., & Minamitani, H. (1990). Application of learning signal processing system on RBC velocity measurement using laser Doppler technique. In Biomedical Engineering Perspectives: Health Care Technologies for the 1990's and Beyond (pt 3 ed., pp. 1410-1412). (Proceedings of the Annual Conference on Engineering in Medicine and Biology; No. pt 3). Publ by IEEE.