IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v23y2020i8p312-322.html
   My bibliography  Save this article

Analysis of fiber strain in the human tongue during speech

Author

Listed:
  • Arnold D. Gomez
  • Maureen L. Stone
  • Jonghye Woo
  • Fangxu Xing
  • Jerry L. Prince

Abstract

This study investigates mechanical cooperation among tongue muscles. Five volunteers were imaged using tagged magnetic resonance imaging to quantify spatiotemporal kinematics while speaking. Waveforms of strain in the line of action of fibers (SLAF) were estimated by projecting strain tensors onto a model of fiber directionality. SLAF waveforms were temporally aligned to determine consistency across subjects and correlation across muscles. The cohort exhibited consistent patterns of SLAF, and muscular extension-contraction was correlated. Volume-preserving tongue movement in speech generation can be achieved through multiple paths, but the study reveals similarities in motion patterns and muscular action—despite anatomical (and other) dissimilarities.

Suggested Citation

  • Arnold D. Gomez & Maureen L. Stone & Jonghye Woo & Fangxu Xing & Jerry L. Prince, 2020. "Analysis of fiber strain in the human tongue during speech," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 23(8), pages 312-322, June.
    • Handle: RePEc:taf:gcmbxx:v:23:y:2020:i:8:p:312-322
    DOI: 10.1080/10255842.2020.1722808
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2020.1722808
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255842.2020.1722808?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:23:y:2020:i:8:p:312-322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.