• DocumentCode
    2876446
  • Title

    Heart motion visualized from chest vibration based on multi-channel signal processing

  • Author

    Nogata, Fumio ; Yokota, Yuji ; Kawamura, Yuriko ; Walsh, William R.

  • Author_Institution
    Dept. of Human & Inf. Syst., Gifu Univ., Gifu, Japan
  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    2218
  • Lastpage
    2221
  • Abstract
    As there are various difficulties associated with auscultation techniques, it is needed to develop new technique for assisting the understanding of heartbeat for both doctors and patients. A new device for sensing vibration of the chest and signal/image processing software for visualizing heart motion and blood flow has developed. This technique is based on the measurement of chest vibration using 64 sensors as a multiple-auscultator to show global and simultaneous heart motions. The total measurement time was five minutes approximately using a new mount plate with 64-sensor, which allows to clinical use easily. We expect that the technique can be applied to the detection of heart disease in visual and to the digital database management of the auscultation examination.
  • Keywords
    biomedical equipment; data visualisation; diseases; electrocardiography; haemodynamics; medical signal processing; sensors; vibration measurement; vibrations; visual databases; auscultation examination; auscultation technique; blood flow; chest vibration measurement; digital database management; heart disease; heart motion visualization; heartbeat; image processing software; measurement time; multichannel signal processing; multiple-auscultator; sensors; signal processing software; Electrocardiography; Heart beat; Sensors; Valves; Vibrations; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-61284-969-0
  • Type

    conf

  • DOI
    10.1109/IECON.2011.6119653
  • Filename
    6119653