Development of eddy current sensor systems in artificial heart for noncontact gap sensing

C. B. Ahn, K. H. Kim, K. C. Moon, K. S. Jeong, H. C. Kim, J. J. Lee, C. M. Hwang, K. Sun

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

    2 Citations (Scopus)

    Abstract

    The axial flow pump has been developed in Korea Artificial Organ Center. It consists of an impeller, a motor and a magnetic bearing. The magnetic bearing fully levitates the impeller not to contact with other parts of pump. However, in order to control the gap between the impeller and other parts, continuous gap sensing is necessary. The conventional gap sensors are relatively large to implant in artificial heart. Thus, the compact eddy current sensor system proper for artificial heart was developed and the performances were evaluated. It showed good results and has small size. However, the dependency of the sensor upon temperature and target material was shown also. Moreover, the output of sensor had nonlinear responses. These must be calibrated in further study.

    Original languageEnglish
    Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages3913-3915
    Number of pages3
    ISBN (Print)0780387406, 9780780387409
    DOIs
    Publication statusPublished - 2005
    Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
    Duration: 2005 Sep 12005 Sep 4

    Publication series

    NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    Volume7 VOLS
    ISSN (Print)0589-1019

    Other

    Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
    Country/TerritoryChina
    CityShanghai
    Period05/9/105/9/4

    ASJC Scopus subject areas

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

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